Accurate staging is essential for the optimal management of patients with colorectal cancer (CRC). The role of tumor deposits (TDs) in CRC staging has been contentious due to a lack of comprehensive understanding of their clinical and biological traits. In this retrospective study, we analyzed large data from 5718 CRC patients diagnosed between 2011 and 2022, ensuring rigorous data collection and long-term follow-up. Patients with positive TDs displayed aggressive clinical features. The risk factors for TDs varied among patients with different backgrounds of lymph node (LN) involvement, and the numbers of TDs and metastatic LNs showed a significantly positive correlation. TDs significantly impacted CRC prognosis, resulting in unfavorable outcomes irrespective of LN status. To delve into the biological characteristics of TDs, we performed transcriptome sequencing, immunohistochemistry, and Kaplan-Meier analyses on tissue samples from the additional CRC cohort and The Cancer Genome Atlas datasets. TDs exhibited aggressive biological phenotypes that were distinct from primary tumors and metastatic LNs, characterized by elevated signatures of epithelial-mesenchymal transition, angiogenesis, and immune suppression. Cox proportional hazards analysis was then applied to reassess the appropriate role of TDs within the TNM staging system, revealing that the prognostic weightiness of TDs in CRC corresponded to N2a rather than N1 in patients with 0-3 LN metastases. Overall, our comprehensive analysis showed that TDs, with their aggressive clinical and biological characteristics, could optimize the staging of CRC, highlighting the need to refine their role within the TNM staging system.

Extranodal extension (ENE) is a histological marker of aggressiveness for various cancers. We evaluated if clinical ENE, detected by Magnetic Resonance Imaging, can also serve as a biological marker of Prostate Cancer (PCa) aggressiveness.

This retrospective, single-center study analyzed patients diagnosed with PCa and had MRI on a 3-T scanner from January 2013 to December 2017. After exclusions, 461 patients were included and divided into: Group 1, no lymph node involvement (LNI), Group 2 (LNI without ENE), and Group 3 (LNI and ENE). Two experienced radiologists assessed the MRI scans for primary lesion characteristics, LNI and ENE. Reproducibility assessment was calculated for ENE and PI-RADS. Clinical outcomes, including Overall Survival (OS), Specific Survival Rate (SSR), and Progression-Free Survival (PFS), were analyzed.

Group 1 included 410 patients, Group 2, 32 patients, and Group 3, 19 patients. The prevalence of ENE was 4.1%. Significant differences between groups were observed for age, PSA, dPSA, ISUP scores, clinical risk stratification, and staging (all p < 0.01). The Kappa coefficient for ENE was 0.75 (95% CI: 0.56-0.90), and 0.48 (0.14-1.0) for PI-RADS. Cox proportional hazards model showed PSA (HR: 1.009; 95% CI = 1.003-1.015, p < 0.01) and ENE (HR: 8.50; 1.76-40.98, p < 0.01) were associated with SSR, and both ENE (HR: 8.18; 2.34-28.58, p < 0.01) and LNI (HR: 5.99, 1.97-18.17, p < 0.01) were linked to poor PFS.

MRI-detected ENE, despite low prevalence, is a predictor of SSR and PFS in PCa. These findings support ENE as an independent prognostic marker. Further prospective, multi-institutional studies are required to validate these results.

Question Pathological extranodal extension (pENE) has been described as a marker of worrisome prognosis in prostate cancer (PCa), but clinical ENE has not been evaluated as a marker of prognosis in PCa. Findings MRI-detected clinical ENE, had a low prevalence in our cohort (4.1%), but it was a predictor of specific survival rate and progression-free survival. Clinical relevance MRI-detected clinical ENE, a reproducible imaging feature, may serve as a non-invasive biomarker for aggressive prostate cancer. It correlates with poorer progression-free survival and specific survival rates, offering valuable prognostic insights for patient management.

Tumor deposits (TD) have been shown to have prognostic implications in patients diagnosed with colorectal cancer (CRC), although their impact appears to be modest compared to regional lymph node metastases.

A retrospective analysis was conducted involving patients with colorectal cancer in stages I-III who underwent curative resections between January 2015 and December 2019 in the tertiary care center in Thailand. These patients were divided into two cohorts: TD positive and TD negative. Additionally, the patients were subsequently classified into N0, N1, and N2 groups. Disease-free survival and overall survival were compared.

Among the 1015 eligible patients, 176 (17.3 %) had tumor deposits (TD), while 374 patients (36.8 %) had positive lymph nodes (LN). The TD positive group demonstrated a significantly lower 5-year overall survival rate (OS) and 5-year disease-free survival rate (DFS) compared to the TD negative group (73.5 % vs 85.9 %, p < 0.001 and 72.5 % vs 87.9 %, p < 0.001 respectively). Upon stratification by various N stages, the presence of TD was notably associated with DFS in the N1 group (5-year DFS: 84.3 % vs. 89.2 %, p = 0.006). Multivariate logistic analyses shown TD as an independent predictor of disease recurrence [p = 0.02; hazard ratio (HR):1.71 (1.11-2.64)].

The presence of TD was significantly correlated with reduced overall survival (OS) and disease-free survival (DFS) in colorectal cancer, especially in patients with nodal metastases.

Lysine crotonylation (Kcr), a previously unknown post-translational modification (PTM), plays crucial roles in regulating cellular processes, including gene expression, chromatin remodeling, and cellular metabolism. Kcr is associated with various diseases, including neurodegenerative disorders, cancer, cardiovascular conditions, and metabolic syndromes. Despite advances in identifying crotonylation sites and their regulatory enzymes, the molecular mechanisms by which Kcr influences disease progression remain poorly understood. Understanding the interplay between Kcr and other acylation modifications may reveal opportunities for developing targeted therapies. This review synthesizes current research on Kcr, focusing on its regulatory mechanisms and disease associations, and highlights insights into future exploration in epigenetics and therapeutic interventions.

To evaluate the prognostic value of the presence and number of tumor deposits (TDs) and the combination of TDs and number of positive lymph nodes (PLNs) in patients undergoing colorectal cancer (CRC) surgery, and to modify N staging.

The clinical data of 1470 patients with stage I-IV CRC who underwent surgery in Wuhan Union Hospital from February 2014 to May 2018 were collected. The optimal cutoff value for TD + PLNs was obtained using X-tile software, and patients were regrouped accordingly. Cox univariate and multivariate analysis were used to screen the factors affecting the prognosis of patients. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to evaluate the predictive ability of independent prognostic factors for overall survival (OS) and disease-free survival (DFS) of patients.

The presence of TD was associated with poor OS (HR = 2.478, 95%CI: 1.794-3.422, P<0.001) and DFS (HR = 2.516, 95%Cl: 1.874-3.377, P<0.001). Combined with TD and PLNs, a total of 128 of 395 N1 patients were reclassified re-staged as N2(TD + PLNs ≥ 3), which had a worse prognosis than those diagnosed with N1. Compared with Tumor Node Metastasis stage and TD number, the multivariate model constructed using independent prognostic factors showed better predictive power for OS (AUC:0.769 vs. 0.681 vs. 0.650) and DFS (AUC:0.757 vs. 0.702 vs. 0.650).

TD significantly affects the long-term prognosis of CRC patients. Combining TD and PLNs to redefine the tumor staging of CRC patients can improve the accuracy of long-term prognosis of surgical patients.

Rectal cancer (RC) is one of the major health challenges worldwide. Accurate staging, restaging, invasiveness assessment, and treatment efficacy evaluation are crucial for its clinical management. Magnetic resonance imaging (MRI) plays a significant role in these processes. However, standard MRI techniques, including T2-weighted and diffusion-weighted imaging, have uncertainties in identifying early-stage tumors, high-risk nodules, extramural vascular invasion, and treatment efficacy, potentially leading to inappropriate treatment. Recent advances suggest that the integration of traditional MRI methods, including diffusion-weighted imaging, opposed-phase or contrast-enhanced T1-weighted imaging, as well as emerging synthetic MRI, could address these challenges. Additionally, improvements in imaging technology have spurred research into advanced functional MRI techniques such as diffusion kurtosis imaging and amide proton transfer weighted MRI, yielding promising results in RC assessment. Total neoadjuvant therapy has emerged as a new treatment paradigm for locally advanced RC, with neoadjuvant immunotherapy and chemotherapy offering viable alternatives to neoadjuvant chemoradiotherapy. However, the lack of standards for the early prediction of patient survival and tumor response to neoadjuvant therapy highlights a critical unmet need in matching therapies to suitable patients. Furthermore, organ preservation strategies after neoadjuvant therapy provide personalized options based on tumor response and patient preferences, yet traditional MRI assessments show significant variability. Radiomics and artificial intelligence hold promise for revealing complex patterns in MRI images associated with patient prognosis and treatment response. This review provides an overview of current MRI advancements in RC assessment and emphasizes how future research can refine tailored treatment strategies to improve patient outcomes. KEY POINTS: Question The accurate diagnosis of early-stage rectal tumors, high-risk nodules, treatment responses, and the early prediction of patient survival and therapeutic outcomes remain an unmet need. Findings Visual MRI has improved staging, restaging, and invasiveness evaluation. Advanced MRI, radiomics and artificial intelligence provide significant potential for tumor characterization and outcome prediction. Clinical relevance Advances in visual MRI are improving routine imaging protocols and radiomics and artificial intelligence show promise in enhancing treatment decisions through precise tumor characterization and outcome prediction.

Lymph node metastases (LNM) play a central role in the tumour-node-metastasis (TNM) classification for colorectal cancer (CRC), with extranodal extension (ENE) as an adverse feature. ENE has never been directly compared to tumour deposits (TD). The aim of this study was to perform an up-to-date systematic review, including a network meta-analysis to compare their prognostic value. A comprehensive search was conducted on PubMed, Embase, Web of Science and Cochrane databases to identify all prognostic studies on ENE and TD. A total of 20 studies were included, with 7719 cases. The primary outcome was 5-year disease-free survival (DFS); secondary outcomes were overall survival (OS) and disease-specific survival (DSS). Frequentist paired and network meta-analyses were performed using the netmeta package in R. For univariable DFS analysis, LNM + TD+ cases had a significantly worse outcome compared with LNM + ENE+ cases [hazard ratio (HR) = 1.27, 95% confidence interval (CI) = 1.06-1.53], which was no longer significant for multivariable DFS analysis (HR = 1.13, 95% CI = 0.87-1.46). All OS and multivariable DSS analyses showed a significantly worse outcome for LNM + TD+ cases compared with LNM + ENE cases. For all outcomes, both LNM + TD+ and LNM + ENE+ had a significantly increased hazard compared with LNM+ cases. This study shows that there is a trend towards worse outcome for LNM + TD+ than LNM + ENE+, not statistically significant in multivariable DFS analysis. Both groups perform significantly worse than cases with LNM only. To improve the accuracy of CRC staging, we recommend to put more emphasis on both ENE and TD in the TNM classification, with the most prominent role for TD.

Tumour deposits (TD) are a crucial biomarker in colorectal cancer, closely associated with nearby structures such as blood vessels, lymphatic vessels, and peripheral nerves. These anatomical structures serve as pathways that facilitate the spread of tumour cells throughout the body. This study aims to investigate how TD access these anatomical gateways and how these variations impact patient survival. We analysed colon carcinoma patients who underwent surgery at Radboud University Medical Centre between 1986 and 2012 for the presence of TD. Using serial sections and immunohistochemistry with four different antibodies (CD34, D2-40, S100, and elastic van Gieson), we examined the presence and distribution of TD access to surrounding anatomical structures, including blood vessels, lymphatic vessels and peripheral nerves. In 127 patients, 280 TD were examined. Of these, 112 TD (40%) had multiple access points, 109 TD (39%) had a single access point, and 59 TD (21%) had no discernible access point. More than half of the TD (57%) demonstrated haematovascular invasion. Patients with TD featuring a single access point had a better prognosis compared to those with multiple access points (5-year overall survival, p=0.025; 5-year disease-free survival, p=0.005). TD are a heterogeneous biomarker characterised by various access points, with haematovascular invasion being the most common. Our study highlights a direct correlation between the number of TD access points and patient outcomes, indicating that an increase in access points is linked to a poorer prognosis.

The effect of neoadjuvant chemotherapy and chemoradiotherapy in patients with locally advanced rectal cancer, at increased risk of failing current treatment regimens, is unknown. This study compared the complete response rate and long-term survival of these patients treated with or without neoadjuvant chemotherapy prior to chemoradiotherapy.

Patients with high-risk locally advanced rectal cancer, who were surgically treated or entered a watch and wait approach after neoadjuvant chemoradiotherapy with or without neoadjuvant chemotherapy in Erasmus Medical Centre or Catharina Hospital between 2016 and 2020, were retrospectively identified. High-risk was defined as the presence of tumour invasion into the mesorectal fascia, grade 4 extramural venous invasion, enlarged lateral lymph nodes, or tumour deposits. The primary endpoint was complete response rate, which was defined as a histopathological complete response or a sustained (during 12 months) clinical complete response. Long-term oncological outcomes were evaluated based on Kaplan-Meier and Cox regression survival analyses.

The neoadjuvant chemotherapy group consisted of 64 patients, of whom 61 (95.3 %) were treated with chemotherapy prior to chemoradiotherapy, the chemoradiotherapy group of 194 patients. The complete response rates were 25.0 % and 9.8 %, respectively (P = 0.002). The estimated 3-year overall survival was 92.2 % in the neoadjuvant chemotherapy group versus 66.9 % in the chemoradiotherapy group.

Excellent oncological outcomes were observed in patients with high-risk locally advanced rectal cancer selected during a multidisciplinary team (MDT) meeting for neoadjuvant chemotherapy and chemoradiotherapy. The actual difference with patients treated with chemoradiotherapy alone should be investigated in prospective trials. Pretreatment referral to expert MDTs is encouraged.

Extramural vascular invasion (EMVI) is associated with distant recurrence after treatment of locogionally advanced rectal adenocarcinomas (LARCs), but its use as a marker for response to neoadjuvant therapy is less well understood. We examined the relationship between EMVI and tumor or nodal category downstaging after treatment of LARCs with neoadjuvant therapy.

Patients with EMVI categorized on initial staging pelvic MRI for LARC who underwent curative-intent surgery after neoadjuvant therapy at MD Anderson Cancer Center from 2016 to 2022 were identified. Patients received either preoperative chemoradiation or total neoadjuvant therapy (TNT). Associations between EMVI and demographic, radiologic, and clinicopathologic variables were analyzed.

EMVI was associated with higher rates of lymphovascular invasion (LVI) (46.2% vs. 27.8%, P = .001) and perineural invasion (PNI) (51.9% vs. 28.4%, P < .001) on final pathology. Patients with EMVI were more likely to have cT4 tumors (31.7% vs. 16.3%, P = .004) and cN+ status (86.8% vs. 66.3%, P = .001) and more likely to be treated with TNT rather than chemoradiation alone (62.3% vs. 41.9%, P = .005). EMVI was associated with a lower rate of pathologic complete or near-complete response (20.1% vs. 34.2%, P = .018), downstaging to ypT0-2 from cT3/4 tumors (14.9% vs. 44.4%, P = .0001), and downstaging to ypN0 from cN+ status (47.9% vs. 66.4%, P = .015).

Rectal tumors with EMVI are more likely to have higher clinical stage, less likely to respond to neoadjuvant therapy despite increased use of TNT, and more likely to have high-risk features for recurrence. This suggests EMVI is a marker of disease with poorer response to neoadjuvant therapy. Disease biology should be strongly considered in treatment decision-making, and new treatment strategies are needed to improve disease response.

Lymphovascular invasion (LVI) and perineural invasion (PNI) are associated with decreased survival in colorectal cancer (CRC), but its significance in N1c stage remains to be clearly defined.

To evaluate LVI and PNI as potential prognostic indicators in N1c CRC.

We retrospectively identified 107 consecutive patients who had CRC with N1c disease radically resected at our hospital. Tumors were reviewed for LVI and PNI by one pathologist blinded to the patients' outcomes. Disease-free survival (DFS), overall survival (OS) and cancer-specific survival (CSS) were determined using the Kaplan-Meier method, with LVI and PNI prognosis differences determined by multivariate analysis using the Cox multiple hazards model. Results were compared using log-rank test. The receiver operating characteristic (ROC) curve was used to evaluate the prognostic predictive ability.

The median follow-up time was 63.17 (45.33-81.37) months for DFS, with 33.64% (36/107) of patients experiencing recurrence; 21.5% of tumors were found to be LVI positive and 44.9% PNI positive. The 5-year DFS rate was greater for patients with LVI-negative tumors compared with LVI-positive tumors (74.0% vs 35.6%), and PNI was similar (82.5% vs 45.1%). On multivariate analysis, LVI [hazard ratio (HR) = 3.368, 95% confidence interval (CI): 1.628-6.966, P = 0.001] and PNI (HR = 3.055, 95%CI: 1.478-6.313, P = 0.002) were independent prognostic factors for DFS. All patients could be divided into three groups of patients with different prognosis according to LVI and PNI. The 5-year ROC curve for LVI, PNI and their combination prediction of DFS was 0.646, 0.709 and 0.759, respectively. Similar results were seen for OS and CSS.

LVI and PNI could serve as independent prognostic factors of outcomes in N1c CRC patients. Patients with LVI or PNI should be given more attention during treatment.

Tumor deposits have prognostic value in colon cancer, but the current American Joint Committee on Cancer (AJCC) staging only considers them if there are no concurrent positive lymph nodes.

To devise a staging system for colon cancer by integrating counts of tumor deposits with positive lymph nodes while retaining the current AJCC staging framework.

This retrospective cohort study examines data from a large-volume, tertiary care center database (January 2010 through March 2023 with follow-up until December 2023) and the population-based National Cancer Database (January 2010 through December 2020 with follow-up until December 2021). Participants were adults (age 18-75 years) with stage III colon adenocarcinoma who underwent chemotherapy, and had a specified positive lymph node count and tumor deposit count were selected.

A real positive lymph nodes count was developed and used to derive Sassun-Mayo N/tumor, lymph node, and metastasis (TNM) stages that were compared with the AJCC N/TNM stages.

Receiver operating characteristic (ROC) curves and Kaplan-Meier analyses for 3-year overall survival were performed to assess the efficiency of the 2 staging systems. The concordance index was used for validation using the National Cancer Database.

From a total patient number of 11 162 (institutional) and 848 704 (national), the final patient numbers were 788 and 77 790, respectively. The institutional database patients had a mean (SD) age of 58.5 (11.5) years; there were 433 male patients (54.9%) and 355 female (45.1%). The national database patients had a mean (SD) age of 59.3 (10.6) years; there were 40 315 male patients (51.8%) and 37 475 female (48.2%). ROC curve areas were improved using the Sassun-Mayo stages (3-year death for AJCC TMN, 0.63 [95% CI, 0.57-0.69] vs 0.66 [95% CI, for 0.60-0.72] for Sassun-Mayo TNM). Kaplan-Meier curves revealed visible overlaps among AJCC N stages, which were absent in the Sassun-Mayo N stages. The concordance index in the Sassun-Mayo N/TNM stages was 0.611 and 0.616, respectively, while in the AJCC N/TNM stages, it was 0.598 and 0.606, respectively. Patients upstaged from N1 to N2 (n = 10 307; 13.2%) had a 3-year overall survival rate nearly identical to that of AJCC N2a patients. Additionally, 3001 patients (3.9%) were upstaged from N2a to N2b, indicating that 13 308 patients (17.1%) with stage III colon cancer across cohorts were understaged.

This study found that Sassun-Mayo N/TNM staging provided superior overall survival stratification compared with the current AJCC staging, suggesting that their implementation could improve prognostication in colon cancer.

To evaluate current MRI-based criteria for malignancy in mesorectal nodal structures in rectal cancer.

Mesorectal nodal structures identified on baseline MRI as lymph nodes were anatomically compared to their corresponding structures histopathologically, reported as lymph nodes, tumour deposits or extramural venous invasion. All anatomically matched nodal structures from patients with primary surgery and all malignant nodal structures from patients with neoadjuvant treatment were included. Mixed-effects logistic regression models were used to evaluate the morphological criteria irregular margin, round shape, heterogeneous signal and nodal size, as well as the combined 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus criteria, with histopathological nodal status as the gold standard.

In total, 458 matched nodal structures were included from 46 patients (mean age, 67.7 years ± 1.5 [SD], 27 men), of which 19 received neoadjuvant treatment. The strongest associations in the univariable model were found for short-axis diameter ≥ 5 mm (OR 21.43; 95% CI: 4.13-111.29, p < 0.001) and heterogeneous signal (OR 9.02; 95% CI: 1.33-61.08, p = 0.024). Only size remained significant in multivariable analysis (OR 12.32; 95% CI: 2.03-74.57, p = 0.006). When applying the ESGAR consensus criteria to create a binary classification of nodal status, the OR of malignant outcome for nodes with positive ESGAR was 8.23 (95% CI: 2.15-31.50, p = 0.002), with corresponding sensitivity and specificity of 54% and 85%, respectively.

The results confirm the role of morphological and size criteria in predicting lymph node metastases. However, the current criteria might not be accurate enough for nodal staging.

Question Pretreatment lymph node staging in rectal cancer is challenging, and the ESGAR consensus criteria are not fully validated. Findings Although the ESGAR criteria correlated with malignant outcomes, diagnostic performance in terms of particular sensitivity, but also specificity, was not high. Clinical relevance Accurate nodal staging in rectal cancer is crucial for individual treatment planning. However, this validation of the current ESGAR consensus criteria suggests that these should be used with caution.

Radiomics has emerged as a promising approach for diagnosing, treating, and evaluating the prognosis of various diseases in recent years. Some investigators have utilized radiomics to create preoperative diagnostic models for tumor deposits (TDs) and perineural invasion (PNI) in rectal cancer (RC). However, there is currently a lack of comprehensive, evidence-based support for the diagnostic performance of these models. Thus, the accuracy of radiomic models was assessed in diagnosing preoperative RC TDs and PNI in this study.

PubMed, EMBASE, Web of Science, and Cochrane Library were searched for relevant articles from their establishment up to December 11, 2023. The radiomics quality score (RQS) was used to evaluate the risk of bias in the methodological quality and research level of the included studies.

This meta-analysis included 15 eligible studies, most of which employed logistic regression models (LRMs). For diagnosing TDs, the c-index, sensitivity, and specificity of models based on radiomic features (RFs) alone were 0.85 (95% CI: 0.79 - 0.90), 0.85 (95% CI: 0.75 - 0.91), and 0.82 (95% CI: 0.70 - 0.89); in the validation set, the c-index, sensitivity, and specificity of models based on both RFs and interpretable CFs were 0.87 (95% CI: 0.83 - 0.91), 0.91 (95% CI: 0.72 - 0.99), and 0.65 (95% CI: 0.53 - 0.76), respectively. For diagnosing PNI, the c-index, sensitivity, and specificity of models based on RFs alone were 0.80 (95% CI: 0.74 - 0.86), 0.64 (95% CI: 0.44 - 0.80), and 0.79 (95% CI: 0.68 - 0.87) in the validation set; in the validation set, the c-index, sensitivity, and specificity of models based on both RFs and interpretable CFs were 0.83 (95% CI: 0.77 - 0.89), 0.60 (95% CI: 0.48 - 0.71), and 0.90 (95% CI: 0.84 - 0.94), respectively.

Diagnostic models based on both RFs and CFs have proven effective in preoperatively diagnosing TDs and PNI in RC. This non-invasive method shows promise as a new approach.

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=498660, identifier CRD42024498660.

Over the past decade, advancements in rectal cancer research have reshaped treatment paradigms. Historically, treatment for locally advanced rectal cancer has focused on neoadjuvant long-course chemoradiotherapy, followed by total mesorectal excision. Interest in organ preservation strategies has been strengthened by the introduction of total neoadjuvant therapy with improved rates of complete clinical response. The administration of systemic induction chemotherapy and consolidation chemoradiotherapy in the neoadjuvant setting has introduced a new dimension to the treatment landscape and patients now face a more intricate decision-making process, given the expanded therapeutic options. This complexity underlines the importance of shared decision-making and brings to light the crucial role of radiologists. MRI, especially high-spatial-resolution T2-weighted imaging, is heralded as the reference standard for rectal cancer management because of its exceptional ability to provide staging and prognostic insights. A key evolution in MRI interpretation for rectal cancer is the transition from the DISTANCE mnemonic to the more encompassing DISTANCED-DIS, distal tumor boundary; T, T stage; A, anal sphincter complex; N, nodal status; C, circumferential resection margin; E, extramural venous invasion; D, tumor deposits. This nuanced shift in the mnemonic captures a wider range of diagnostic indicators. It also emphasizes the escalating role of radiologists in steering well-informed decisions in the realm of rectal cancer care.

To investigate the value of radiomics analysis of dual-layer spectral-detector computed tomography (DLSCT)-derived iodine maps for predicting tumor deposits (TDs) preoperatively in patients with colorectal cancer (CRC).

A total of 264 pathologically confirmed CRC patients (TDs + (n = 80); TDs - (n = 184)) who underwent preoperative DLSCT from two hospitals were retrospectively enrolled, and divided into training (n = 124), testing (n = 54), and external validation cohort (n = 86). Conventional CT features and iodine concentration (IC) were analyzed and measured. Radiomics features were derived from venous phase iodine maps from DLSCT. The least absolute shrinkage and selection operator (LASSO) was performed for feature selection. Finally, a support vector machine (SVM) algorithm was employed to develop clinical, radiomics, and combined models based on the most valuable clinical parameters and radiomics features. Area under receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis were used to evaluate the model's efficacy.

The combined model incorporating the valuable clinical parameters and radiomics features demonstrated excellent performance in predicting TDs in CRC (AUCs of 0.926, 0.881, and 0.887 in the training, testing, and external validation cohorts, respectively), which outperformed the clinical model in the training cohort and external validation cohorts (AUC: 0.839 and 0.695; p: 0.003 and 0.014) and the radiomics model in two cohorts (AUC: 0.922 and 0.792; p: 0.014 and 0.035).

Radiomics analysis of DLSCT-derived iodine maps showed excellent predictive efficiency for preoperatively diagnosing TDs in CRC, and could guide clinicians in making individualized treatment strategies.

The radiomics model based on DLSCT iodine maps has the potential to aid in the accurate preoperative prediction of TDs in CRC patients, offering valuable guidance for clinical decision-making.

Accurately predicting TDs in CRC patients preoperatively based on conventional CT features poses a challenge. The Radiomics model based on DLSCT iodine maps outperformed conventional CT in predicting TDs. The model combing DLSCT iodine maps radiomics features and conventional CT features performed excellently in predicting TDs.

Tumour deposits are a prognostic factor for overall survival and distant metastasis in lymph node-negative colorectal cancer. However, the current TNM staging system does not account for the presence of tumour deposits in lymph node-positive colorectal cancer, or for the presence of multiple deposits. This study aimed to investigate the prognostic effect of tumour deposit count in patients with colorectal cancer.

Patients who underwent curative surgery for colorectal cancer between 2016 and 2019 were identified nationwide from the Swedish Colorectal Cancer Registry. Patients with undisclosed tumour deposit status/count and stage IV disease were excluded. Univariable and multivariable Cox regression analyses were used to assess the prognostic effect of tumour deposit count on overall survival and distant metastasis adjusted for age, sex, neoadjuvant treatment, and number of positive lymph nodes.

Of 18 913 patients assessed, 14 154 patients were analysed with tumour deposits (TDs) present in 1702 (12%) patients. Patients were stratified by tumour deposit count (0, 1, 2, 3, 4, and ≥5 TDs). Increased tumour deposit count was associated with decreased 5-year overall survival (79%, 70%, 61%, 66%, 50%, 49%) and increased 5-year risk for distant metastasis (14%, 26%, 35%, 41%, 48%, 54%) respectively. Tumour deposit count remained an independent negative prognostic factor after multivariable Cox regression analysis.

Tumour deposit count is a negative prognostic predictor of both overall survival and distant metastasis in colorectal cancer, independent of positive lymph nodes or neoadjuvant treatment. These findings suggest that tumour deposit count should be integrated into the TNM staging regardless of lymph nodes status to improve prognostic accuracy.

N staging systems are paramount clinical features for colorectal cancer (CRC). In N1 stage (N1) CRC, patients present with a limited number of metastatic lymph nodes, yet their prognoses vary widely. The tumor invasion proportion of lymph nodes (TIPLN) has gained attention, but its prognostic value in N1 CRC remains unclear. We retrospectively analyzed 416 N1 CRC patients who underwent radical surgery from January 2014 to December 2018, reviewing 713 hematoxylin and eosin (H&E)-stained slides to assess TIPLN. Overall survival was the primary outcome in our study. Using restricted cubic splines, we explored the relationship between TIPLN and prognosis, with Cox regression and subgroup analyses adjusting for potential confounders. We found that increased TIPLN was associated with an unfavorable prognosis. At a cut-off value of 50%, patients with high-TIPLN exhibiting poorer outcomes than their low-TIPLN counterparts (hazard ratio: 3.77, P < 0.001). Furthermore, high-TIPLN was confirmed as an independent risk factor for overall survival (hazard ratio: 3.12, P < 0.001) after adjusting for clinical confounders. Notably, TIPLN could also enhance risk stratification within the T and N stages, where patients with low-risk (T1-3 stage) and high-TIPLN demonstrated poorer overall survival compared to those with high-risk (T4 stage) and low-TIPLN (hazard ratio: 2.54, P = 0.021). In conclusion, TIPLN is a promising prognostic indicator for N1 CRC patients that complements traditional N staging system for a more comprehensive evaluation. Integrating TIPLN into the TNM staging system could enhance risk stratification and guide treatment decisions.

The purpose of this study was to evaluate the incidence and predictors of malignant soft tissue deposits (MSTDs) in advanced laryngeal carcinoma. MSTDs prognostic value on locoregional recurrence within 2 years after curative surgery was also studied. 40 patients with cT3/cT4 N0 laryngeal squamous cell carcinoma (SCC) were prospectively involved in the study. Soft tissue specimens were histopathologically examined for MSTDs. MSTDs were observed in 4 patients. Six patients had extranodal extension (ENE), four of whom showed MSTDs. All patients with MSTDs had associated comorbidities. cTNM staging, preoperative tracheostomy, tumor grade and surgical margins were not related to the incidence of MSTDs. The incidence of MSTDs in our report was less than that previously reported in the literature. MSTDs did not influence locoregional recurrence and did not influence the overall outcome. MSTDs were less significant as a prognostic factor in comparison to other factors such as ENE.

The identification of tumor deposits (TD) currently plays a limited role in staging for colorectal cancer (CRC) aside from N1c lymph node designation. The objective of this study was to determine the prognostic impact, beyond American Joint Committee on Cancer N1c designation, of TDs among patients with primary CRC.

Patients who had resected stage I-III primary CRC diagnosed between 2010 and 2019 were identified from the National Cancer Institute's Surveillance, Epidemiology, and End Results database. Cancer-specific survival (CSS) stratified by TD status and lymph node (N) status was calculated using the Kaplan-Meier method and multivariable Cox proportional hazards regression analyses.

In total, 147,783 patients with primary CRC were identified. TDs were present in 15,444 patients (10.5%). The presence of TDs was significantly associated with adverse tumor characteristics, including advanced pathologic stage, nodal status, and metastasis status. The presence of TDs was associated with worse CSS (hazard ratio [HR], 3.12; 95% confidence interval [CI], 3.02-3.22), as it was for each given N category (e.g., N2a and TD-negative [HR, 2.50; 95% CI, 2.37-2.64] vs. N2a and TD-positive [HR, 3.75; 95% CI, 3.49-4.03]). The presence of multiple TDs was also associated with decreased CSS for each given N category compared with a single TD (e.g. N2a with one TD [HR, 3.09; 95% CI, 2.65-3.61] vs. N2a with two or more TDs [HR, 4.32; 95% CI, 3.87-4.82]).

TDs were identified as an independent predictor of a worse outcome in patients with CRC. The presence of TDs confers distinctly different CSS and provides important prognostic information among patients with CRC and warrants further investigation as a unique variable in future iterations of CRC staging.

The current pathological and physiological evaluation system for colorectal cancer (CRC) is limited; thus, effective biological targets to diagnose and treat this disease are urgently needed. In this study, we used qRT-PCR for detecting mRNA levels of genes. The levels of protein were identified by western blot, immunohistochemistry, and immunofluorescence assays. In addition, functional experiments were used to evaluate the role of cytoskeleton associated protein (CKAP) 2 in CRC cells and human umbilical vein endothelial cells (HUVECs). Bioinformatics analysis was employed to predict the binding relationship of CKAP2 and TFDP1, which was confirmed through dual luciferase reporter assay and immunoprecipitation assay. Furthermore, we injected human colorectal carcinoma HCT116 cells into mice flanks, and we injected Luciferase-labeled HCT116 cells into mice tail vein. HE staining was used to detect tumor nodules. As a result, high CKAP2 expression was found in CRC cells and tissues. CKAP2 silencing reduced CRC cell migration, invasion, proliferation, and epithelial-mesenchymal transition. Moreover, CKAP2 expression was positively associated with M2 macrophage levels. CKAP2 promoted protein expression of CD86, CD206, IL-1β, and CCL17. Moreover, CKAP2 promoted the proliferation of HUVECs and angiogenesis via affecting the tumor microenvironment (TME). We also found that CKAP2 could interact with TFDP1. The inhibitory impacts of TFDP1 downregulation on CRC cell' proliferation, migration, and invasion were reversed via CKAP2 overexpression. In vivo silencing of CKAP2 repressed tumor growth and metastasis. Overall, CKAP2 was positively regulated by TFDP1, which promoted tumorigenesis and metastasis in CRC.

Tumor deposits (TDs) represent a specific form tumor metastasis observed in colorectal cancer (CRC). The lack of successfully established cell lines for TDs, as well as the molecular mechanisms by which TDs occur remain largely unknown. Here, we established paired CRC organoids, including a human primary cancer organoid and its TD organoid, from a 46-year-old male patient with CRC. Further analysis revealed that, compared with primary tumor-derived cells, TD-derived cells exhibited enhanced proliferative, invasive and metastatic capabilities, and increased expression of stemness-related proteins. Furthermore, the present findings also demonstrated that TD-derived cells were more resistant to oxaliplatin or 5-FU. Transcriptomic profiling and qPCR revealed that TD-derived cells exhibited more alterations in fatty acid metabolism signaling and enhanced lipid synthesis ability compared to primary tumor-derived cells. Inhibition of lipid synthesis markedly decreased resistance to oxaliplatin in TD-derived cells. Taken together, the paired organoids established using CRC primary tumor and its TD specimens will provide valuable tools to study tumorigenicity, metastasis and chemoresistance in CRC. Notably, these models will provide novel insights to study tumor heterogeneity and lipid metabolism in CRC.

Tumor deposits (TDs) are known to have a poor prognosis independent of lymph node (LN) involvement and are considered equivalent to LN metastases in the latest staging system. In stage III colon cancer (CC), high-risk patients (pT4 or pN2) receive 6 months of adjuvant chemotherapy, while low-risk patients (pT1-3 and N1) are recommended either 3 or 6 months of CAPOX or 6 months of FOLFOX therapy. However, the optimal chemotherapy duration for low-risk patients classified as pN1c remains unknown. The aim of this study is to investigate the impact of adjuvant chemotherapy duration (3 months vs. 6 months) on survival in patients with low-risk stage III CC either in pN1a-b and pN1c patient groups.

We retrospectively analyzed patients with stage III CC who underwent surgery at a tertiary center between January 2014 and May 2024. Demographic and pathological data of patients were retrospectively collected. The primary outcome was disease-free survival (DFS).

A total of 142 patients were included. Among the patients, 116 were pT1-3N1a-b and 26 were pT1-3N1c. Local (23.1% vs. 1.7%, P < 0.001) and overall (38.5% vs 14.6%, P = 0.011) recurrences were significantly higher in the pN1c group. Univariate and multivariate analyses revealed no significant impact of adjuvant chemotherapy duration on DFS in the pN1a-b group (P = 0.359), whereas in the pN1c group, 3-month chemotherapy resulted in significantly shorter DFS (P = 0.044) in univariate analysis.

Our study indicates that shorter duration of adjuvant chemotherapy is associated with worse survival and 6-month chemotherapy is recommended for patients with pT1-3 and N1c disease.

Patients with stage IIB/C (T4a-bN0) colon cancer often exhibit worse survival rates compared to those with stage IIIA (T1-2N1, T1N2a) colon cancer. This study re-evaluates the survival paradox using the latest Surveillance, Epidemiology, and End Results (SEER) data (released on April 17, 2024) to inform potential revisions to the staging criteria. Utilizing SEER data with 8th edition TNM staging criteria, 4692 colon cancer patients diagnosed between 2018 and 2021 were analyzed with chi-square test. Cox regression and Kaplan-Meier survival analysis were employed to assess factors associated with cancer-specific survival (CSS) and overall survival (OS). The 3-year CSS rates for stage IIB and IIC were 73.1% and 70.3%, respectively, whereas stage IIIA had a substantially higher CSS rate of 91% (P < 0.001). Similarly, the OS rates were 64.9% and 63.0% for stage IIB and IIC, respectively, compared to 83.1% for stage IIIA (P < 0.001). Multivariate analyses revealed stage IIIA patients had significantly lower risks of cancer-specific mortality (hazard ratio (HR) = 0.374, 95% CI: 0.296-0.473, P < 0.001) and overall mortality (HR = 0.575, 95% CI: 0.483-0.685, P < 0.001) compared to stage IIB patients. The upcoming 9th edition of the AJCC staging system should address this paradox by integrating advanced diagnostic markers and emphasizing the aggressive biology of T4 tumor, providing more accurate prognostic information and guiding more effective treatment strategies for colon cancer patients.

The prognostic value of tumor deposits (TDs) in stage III colorectal cancer (CRC) patients is poorly described based on the current tumor node metastasis (TNM) stage system.

Based on the data from the Surveillance, Epidemiology, and End Result (SEER) database between 2010 to 2020 and local hospital between 2006 to 2022, the clinicopathological features of stage III CRC patients with TDs were screened by Chi-square test. Kaplan-Meier curves were performed to describe the significant difference in overall survival (OS) among the different groups, and log-rank tests were used to compare the cumulative survival distributions.

Patients with TDs exhibited more aggressive tumors, characterized by advanced T staging (T3&T4), N staging (N2), perineural invasion, and more advanced TNM stage. The presence of TDs was identified as a negative prognostic factor in stage III CRC patients, with the co-existence of TDs and lymph node metastasis associated the poorest prognosis. A pairwise comparison revealed no statistically significant difference between TD+N1a/b and N1c groups, while the OS of TD-LN+ (TD- N1a/b) patients was the most favorable within the N1 stage. Notably, patients with a single lymph node positive had a significantly better OS than those with a single TD positive.

The presence of tumor deposits was a negative prognostic factor in stage III colorectal cancer patients, and the significance of tumor deposits was underestimated in the current TNM staging system.

The role of magnetic resonance imaging (MRI) in rectal cancer management has significantly increased over the last decade, in line with more personalized treatment approaches. Total neoadjuvant treatment (TNT) plays a pivotal role in the shift from traditional surgical approach to non-surgical approaches such as 'watch-and-wait'. MRI plays a central role in this evolving landscape, providing essential morphological and functional data that support clinical decision-making. Key MRI-based biomarkers, including circumferential resection margin (CRM), extramural venous invasion (EMVI), tumour deposits, diffusion-weighted imaging (DWI), and MRI tumour regression grade (mrTRG), have proven valuable for staging, response assessment, and patient prognosis. Functional imaging techniques, such as dynamic contrast-enhanced MRI (DCE-MRI), alongside emerging biomarkers derived from radiomics and artificial intelligence (AI) have the potential to transform rectal cancer management offering data that enhance T and N staging, histopathological characterization, prediction of treatment response, recurrence detection, and identification of genomic features. This review outlines validated morphological and functional MRI-derived biomarkers with both prognostic and predictive significance, while also exploring the potential of radiomics and artificial intelligence in rectal cancer management. Furthermore, we discuss the role of rectal MRI in the 'watch-and-wait' approach, highlighting important practical aspects in selecting patients for non-surgical management.

We explored the oncological impact of tumor deposits (TDs) on colon cancer and proposed optimal modifications to the current staging system.

In the existing American Joint Committee on Cancer colon cancer staging system, TDs are incorporated into the N category as N1c. When lymph node metastases (LNMs) are present, their number is considered to determine nodal stages, such as N1a/b or N2a/b, regardless of TDs.

4212 patients with primary colon cancer who underwent surgical resection in the Seoul Colorectal Group (2010-2020) and 93,057 patients from the Surveillance, Epidemiology, and End Results*Stat database (2000-2017) were included in this study. Patients were classified according to the number of metastatic lymph nodes (LNs) (0/1-3/≥4) and the presence of TDs.

TDs were significantly associated with left colon cancer, a higher T category, and vascular/perineural invasion. Patients with TDs had higher recurrence rates (23.1 vs 7.5%, P < 0.001). The TD-positive patients had notably worse overall survival (OS) and recurrence-free survival rates. The survival outcomes of TD-positive patients without LNM were inferior to those of TD-negative patients with LN1-3 (5-year OS: 78.9 vs 87.8%, P = 0.04). The survival outcomes of TD-positive patients with LN1-3 were similar to those of TD-negative patients with LN ≥4 (5-year OS: 87.0 vs 77.1%, P = 0.11). Survival outcomes obtained using the Surveillance, Epidemiology, and End Results *Stat database yielded consistent results.

TDs were associated with poor prognostic factors and had a significant impact on survival outcomes. The incorporation of tumor deposits into nodal classifications beyond the current N1c criteria may improve the staging system and more accurately reflect the recurrence and survival rates among patients with colon cancer. TD-positive in N1a or N1b could be categorized as N2.

Surveillance recommendations for postoperative high-risk colorectal bone metastases patients remain in a gray area of guidelines. We aimed to develop a risk stratification system to select ideal candidates for follow-up of colorectal bone metastases status.

Postoperative colorectal cancer patients were included to develop a risk-scoring system to predict bone metastases. Risk scores were calculated based on the predictive factors for bone metastases, which were identified using the Cox proportional hazard regression model. Kaplan-Meier curves visualize the differences between risk groups.

Eight risk factors (age, lymph node metastasis, pathologic tumor deposit, KRAS mutation status, suspicious retroperitoneal lymph node metastasis, lung metastasis status, largest thickness of colorectal cancer lesion, largest short diameter of lymph node) were predictors of colorectal bone metastases and incorporated into the risk scoring system, and the patients were categorized into 2 risk groups. In the low-risk group, the 1, 3, and 5-year colorectal bone metastases rates were 2.4%, 4.6%, and 3.7%, respectively, whereas in the high-risk group, the 1, 3, and 5-year colorectal bone metastases rates were 15.6%, 29.9%, and 44.4%, respectively. The risk scoring system exhibited a C-index of 0.706, 0.795, and 0.841 in 1, 3, and 5 years, respectively. The Kaplan-Meier curve demonstrates that the incidence of colorectal bone metastases was higher in the high-risk group than in the low-risk group (50.5% vs 11.4%, P < .001).

This risk-scoring system may be valuable in predicting colorectal bone metastases in colorectal cancer patients, and we suggest that colorectal bone metastases status surveillance be added in the high-risk group.

In colorectal carcinoma (CRC), tumor deposits (TDs) are described as macroscopic/microscopic nests/nodules in the lymph drainage area discontinuous with the primary mass, without identifiable lymph node (LN) tissue, and not confined to vascular or perineural spaces. A TD is categorized as pN1C only when no bona fide LN metastasis exists. However, there has been an ongoing debate on whether TDs should be counted as LNs. The fact that the origin of TDs is not fully understood adds further uncertainty. This pilot study aims to evaluate whether whole-block imaging by micro-computed tomography (micro-CT WBI) that enables three-dimensional reconstruction of whole-mount (WM) blocks can serve as a tool to assess the origin and path of CRC TDs. We evaluated whole-slide imaging (WSI) and micro-CT WBI of 20 WM blocks from a rectal cancer resection that contained TDs. Each TD was tracked through the contiguous blocks to define their origin and path. Of eleven TDs identified on WSI, six were detected on WBI. Strikingly, six of six TDs trackable through the blocks on WBI revealed an origin from the main tumor. This pilot study provided evidence that micro-CT WBI can serve as an effective tool to evaluate the origin and path of CRC TDs.

Tumour deposits (TDs) significantly impact colorectal cancer (CRC) prognosis. Integrating TDs into the TNM staging system can enhance individualized disease management. Keeping abreast of evolving TDs research is pivotal for clinical advancement. We comprehensively reviewed both recent and popular literature to grasp the field's essence. Subsequently, a data retrieval sourced articles on TDs in CRC for bibliometric analysis, spanning from 1 January 1935 to 30 April 2023. Bibliometrix software facilitated paper analysis and visualization. Bibliometric indicators, the trends and hotspots were determined. A total of 2147 articles were successfully retrieved. Brown G emerged as the most productive author, and the USA as the most prolific country. Central South University and Memorial Sloan Kettering Cancer Center led productivity. Bradford's law categorized 48 journals into zone 1. Keywords co-occurrence analysis identified three main clusters: the application of TDs in TNM staging, the pathogenesis of TDs, and the assessment of TDs. The trend topic analysis highlighted research focused on refining TDs incorporation into tumour staging. TDs wield enduring medical significance, shaping ongoing research. Much literature focused on confirming TD's prognostic value and optimizing TNM integration. Additionally, it is worth highlighting that TD's enigmatic pathogenesis demands research priority, as it holds the potential to unveil concealed knowledge regarding their development.

We aimed to develop an elaborative nomogram that predicts cancer-specific survival (CSS) in American and Chinese octogenarians treated with radical resection for CRC.

The patient data of newly diagnosed patients aged 80 years or older who underwent radical resection for CRC from 2010 to 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and then randomly divided into a training cohort and a validation cohort. The patients collected from our hospital were defined as the external validation cohort. Univariate and multivariate Cox regression was used to select independent predictive factors for the construction of a nomogram to predict 1-, 2- and 3-year CSS.

The multivariate Cox regression model identified age, T stage, N stage, perineural invasion, chemotherapy, tumour deposits, carcinoembryonic antigen level, number of lymph node metastases, and number of solid organ metastases as independent predictors of survival. The C-index of the nomogram for 1-, 2- and 3-year CSS was 0.758, 0.762, and 0.727, respectively, demonstrating significant clinical value and substantial reliability compared to the TNM stage. The calibration curve and area under the curve also indicated considerable predictive accuracy. In addition, decision curve analysis demonstrated desirable net benefits in clinical application.

We constructed a nomogram for predicting the CSS of individual octogenarian patients with CRC who underwent radical resection. The nomogram performed better than the TNM staging system in this particular population and could guide clinicians in clinical follow-up and individual therapeutic plan formulation.

Tumor deposits (TDs) are defined as discontinuous neoplastic masses within the lymphatic drainage pathway of the primary tumor. The poor prognostic implication of these masses have been demonstrated in various cancers. The aim of this study is to investigate the incidence of TDs in our thyroid carcinoma cases, which has not been studied so far to the best of our knowledge, and to determine the prognostic value of their existence. In this retrospective cohort study, 194 thyroid carcinoma cases with cervical lymph node sampling and/or dissection were reevaluated for TDs. The case series consisted of 176 thyroid papillary carcinoma (TPC) and 18 thyroid medullary carcinoma (TMC) patients. TDs were detected in 54 (27.8%) patients. TMC cases (55.6%) had significantly more TDs compared to TPCs (25.0%; P = .006). TDs were more common in women (P = .045), and in multifocal tumors (P = .017). In addition, cases with TDs had larger tumor size (P = .002), more lymphatic invasion (P = .009), extrathyroidal extension (P < .001), and distant metastasis (P < .001). The mean follow-up period of the patients was 120.1 months (range, 4-341 months). Locoregional recurrence detected in 17 patients (8.8%) was more common in TMC (33.3%) than TPC cases (6.3%; P = .002). Distant metastasis was identified in 27 patients (13.9%). Ten-year recurrence free survival (RFS) and overall survival (OS) for all patients were 89.0% and 92.4%, respectively. Mean estimated OS time for TD negative and TD positive cases were: 281.9 (±17.2), 325.6 (±6.2) and 217.6 (±27.4) months, respectively (P = .002). Sex (P = .001), tumor type (P = .002), pT classification of the tumor (P < .001), perineural invasion (P = .002) and TDs (P = .002) were significantly associated with OS. In TPC cases individually, extrathyroidal extension (P = .001) and TDs (P = .002) were significantly correlated with distant metastasis. In multivariate analysis, only tumor size was detected as an independent prognostic marker in TPC cases (P = .005). Our results demonstrate the existence of TDs in thyroid carcinoma cases, and indicate a more aggressive behavior pattern of TDs in these tumors.

Colorectal cancer remains a leading cause of mortality worldwide. Significant variation in response to treatment and survival is evident among patients with similar stage disease. Molecular profiling has highlighted the heterogeneity of colorectal cancer but has had limited impact in daily clinical practice. Biomarkers with robust prognostic and therapeutic relevance are urgently required. Ideally, biomarkers would be derived from H&E sections used for routine pathological staging, have reliable sensitivity and specificity, and require minimal additional training. The biomarker targets would capture key pathological features with proven additive prognostic and clinical utility, such as the local inflammatory response and tumour microenvironment. The Glasgow Microenvironment Score (GMS), first described in 2014, combines assessment of peritumoural inflammation at the invasive margin with quantification of tumour stromal content. Using H&E sections, the Klintrup-Mäkinen (KM) grade is determined by qualitative morphological assessment of the peritumoural lymphocytic infiltrate at the invasive margin and tumour stroma percentage (TSP) calculated in a semi-quantitative manner as a percentage of stroma within the visible field. The resulting three prognostic categories have direct clinical relevance: GMS 0 denotes a tumour with a dense inflammatory infiltrate/high KM grade at the invasive margin and improved survival; GMS 1 represents weak inflammatory response and low TSP associated with intermediate survival; and GMS 2 tumours are typified by a weak inflammatory response, high TSP, and inferior survival. The prognostic capacity of the GMS has been widely validated while its potential to guide chemotherapy has been demonstrated in a large phase 3 trial cohort. Here, we detail its journey from conception through validation to clinical translation and outline the future for this promising and practical biomarker.

This study aims to establish a machine learning (ML) model for predicting the risk of liver and/or lung metastasis in colorectal cancer (CRC).

Using the National Institutes of Health (NIH)'s Surveillance, Epidemiology, and End Results (SEER) database, a total of 51265 patients with pathological diagnosis of colorectal cancer from 2010 to 2015 were extracted for model development. On this basis, We have established 7 machine learning algorithm models. Evaluate the model based on accuracy, and AUC of receiver operating characteristics (ROC) and explain the relationship between clinical pathological features and target variables based on the best model. We validated the model among 196 colorectal cancer patients in Beijing Electric Power Hospital of Capital Medical University of China to evaluate its performance and universality. Finally, we have developed a network-based calculator using the best model to predict the risk of liver and/or lung metastasis in colorectal cancer patients.

51265 patients were enrolled in the study, of which 7864 (15.3 %) had distant liver and/or lung metastasis. RF had the best predictive ability, In the internal test set, with an accuracy of 0.895, AUC of 0.956, and AUPR of 0.896. In addition, the RF model was evaluated in the external validation set with an accuracy of 0.913, AUC of 0.912, and AUPR of 0.611.

In this study, we constructed an RF algorithm mode to predict the risk of colorectal liver and/or lung metastasis, to assist doctors in making clinical decisions.

The 8th AJCC TNM staging for non-metastatic lymph node-positive colon adenocarcinoma patients(NMLP-CA) stages solely by lymph node status, irrespective of the positivity of tumor deposits (TD). This study uses machine learning and Cox regression to predict the prognostic value of tumor deposits in NMLP-CA.

Patient data from the SEER registry (2010-2019) was used to develop CSS nomograms based on prognostic factors identified via multivariate Cox regression. Model performance was evaluated by c-index, dynamic calibration, and Schmid score. Shapley additive explanations (SHAP) were used to explain the selected models.

The study included 16,548 NMLP-CA patients, randomized 7:3 into training (n = 11,584) and test (n = 4964) sets. Multivariate Cox analysis identified TD, age, marital status, primary site, grade, pT stage, and pN stage as prognostic for cancer-specific survival (CSS). In the test set, the gradient boosting machine (GBM) model achieved the best C-index (0.733) for CSS prediction, while the Cox model and GAMBoost model optimized dynamic calibration(6.473) and Schmid score (0.285), respectively. TD ranked among the top 3 most important features in the models, with increasing predictive significance over time.

Positive tumor deposit status confers worse prognosis in NMLP-CA patients. Tumor deposits may confer higher TNM staging. Furthermore, TD could play a more significant role in the staging system.

Magnetic resonance imaging (MRI) plays a pivotal role in primary staging of rectal cancer, enabling the determination of appropriate management strategies and prediction of patient outcomes. However, inconsistencies and pitfalls exist in various aspects, including rectal anatomy, MRI protocols and strategies for artifact resolution, as well as in T- and N-staging, all of which limit the diagnostic value of MRI. This narrative and pictorial review offers a comprehensive overview of factors influencing primary staging of rectal cancer and the role of MRI in assessing them. It highlights the significance of the circumferential resection margin and its relationship with the mesorectal fascia, as well as the prognostic role of extramural venous invasion and tumor deposits. Special attention is given to tumors of the lower rectum due to their complex anatomy and the challenges they pose in MRI staging. The review also addresses current controversies in rectal cancer staging and the need for personalized risk stratification. In summary, this review provides valuable insights into the role of MRI in the primary staging of rectal cancer, emphasizing key aspects for accurate assessment to enhance patient outcomes.

Preoperative diagnosis of tumor deposits (TDs) in patients with rectal cancer remains a challenge. This study aims to develop and validate a radiomics nomogram based on the combination of T2-weighted (T2WI) and diffusion-weighted MR imaging (DWI) for the preoperative identification of TDs in rectal cancer.

A total of 199 patients with rectal cancer who underwent T2WI and DWI were retrospectively enrolled and divided into a training set (n ​= ​159) and a validation set (n ​= ​40). The total incidence of TDs was 37.2 ​% (74/199). Radiomics features were extracted from T2WI and apparent diffusion coefficient (ADC) images. A radiomics nomogram combining Rad-score (T2WI ​+ ​ADC) and clinical factors was subsequently constructed. The area under the receiver operating characteristic curve (AUC) was then calculated to evaluate the models. The nomogram is also compared to three machine learning model constructed based on no-Rad scores.

The Rad-score (T2WI ​+ ​ADC) achieved an AUC of 0.831 in the training and 0.859 in the validation set. The radiomics nomogram (the combined model), incorporating the Rad-score (T2WI ​+ ​ADC), MRI-reported lymph node status (mLN-status), and CA19-9, showed good discrimination of TDs with an AUC of 0.854 for the training and 0.923 for the validation set, which was superior to Random Forests, Support Vector Machines, and Deep Learning models. The combined model for predicting TDs outperformed the other three machine learning models showed an accuracy of 82.5 ​% in the validation set, with sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 66.7 ​%, 92.0 ​%, 83.3 ​%, and 82.1 ​%, respectively.

The radiomics nomogram based on Rad-score (T2WI ​+ ​ADC) and clinical factors provides a promising and effective method for the preoperative prediction of TDs in patients with rectal cancer.