Tissue-resident memory T cells (TRMs) reside in peripheral tissues and provide rapid immune defence against local infection and tumours. Tumour-associated TRMs share common tissue-resident features and formation mechanisms, representing some unique subsets of tumour-infiltrating lymphocytes (TILs). However, differences in the tumour microenvironment(TME) and tumour evolution stage result in TRMs exhibiting temporal and spatial heterogeneity of phenotype and function not only at different stages, before and after treatment, but also between tumours originating from different tissues, primary and metastatic cancer, and tumour and adjacent normal tissue. The infiltration of TRMs is often associated with immunotherapy response and favourable prognosis; however, due to different definitions, it has been shown that some subtypes of TRMs can also have a negative impact. Therefore, it is crucial to precisely characterise the TRM subpopulations that can influence the therapeutic efficacy and clinical prognosis of various solid tumours. Here, we review the spatiotemporal heterogeneity of tumour-associated TRMs, as well as the differences in their impact on clinical outcomes. We also explore the relationship between TRMs and immune checkpoint blockade (ICB) and TIL therapy, providing insights into potential new targets and strategies for immunotherapy.

Breast cancer remains one of the most prevalent malignancies worldwide, underscoring an urgent need for innovative therapeutic strategies. Immunotherapy has emerged as a transformative frontier in this context. In triple-negative breast cancer (TNBC), the combination of immunotherapy based on PD-1/PD-L1 immune checkpoint inhibitors (ICIs) with chemotherapy has proven efficacious in both early and advanced clinical trials. These encouraging results have led to the approval of ICIs for TNBC, opening up new therapeutic avenues for challenging-to-treat patient populations. Furthermore, a multitude of ongoing trials are actively investigating the efficacy of immunotherapy-based combinations, including ICIs in conjunction with chemotherapy, targeted therapy and radiation therapy, as well as other novel strategies such as bispecific antibodies, CAR-T cells and cancer vaccines across all breast cancer subtypes, including HR-positive/HER2-negative and HER2-positive disease. This review provides a comprehensive overview of current immunotherapeutic approaches in breast cancer, highlighting pivotal findings from recent clinical trials and the potential impact of these advancements on patient outcomes.

Breast cancer is a highly heterogeneous disease where variations of biomarker expression may exist between individual foci of a cancer (intra-tumoral heterogeneity). The extent of variation of biomarker expression in the cancer cells, distribution of cell types in the local tumor microenvironment and their spatial arrangement could impact on diagnosis, treatment planning and subsequent response to treatment.

Using quantitative multiplex immunofluorescence (MxIF) imaging, we assessed the level of variations in biomarker expression levels among individual cells, density of cell cluster groups and spatial arrangement of immune subsets from regions sampled from 38 multi-focal breast cancers that were processed using whole-mount histopathology techniques. Molecular profiling was conducted to determine the intrinsic molecular subtype of each analysed region.

A subset of cancers (34.2%) showed intra-tumoral regions with more than one molecular subtype classification. High levels of intra-tumoral variations in biomarker expression levels were observed in the majority of cancers studied, particularly in Luminal A cancers. HER2 expression quantified with MxIF did not correlate well with HER2 gene expression, nor with clinical HER2 scores. Unsupervised clustering revealed the presence of various cell clusters with unique IHC4 protein co-expression patterns and the composition of these clusters were mostly similar among intra-tumoral regions. MxIF with immune markers and image patch analysis classified immune niche phenotypes and the prevalence of each phenotype in breast cancer subtypes was illustrated.

Our work illustrates the extent of spatial heterogeneity in biomarker expression and immune phenotypes, and highlights the importance of a comprehensive spatial assessment of the disease for prognosis and treatment planning.

Breast cancer (BC) is a leading cause of death among women, with approximately 30% HER2-positive (HER2+). Although HER2-targeted therapies have improved outcomes for patients with HER2+ metastatic breast cancer (mBC), clinical challenges and prognostic variability remain. Tumor-infiltrating lymphocytes (TILs) have emerged as prognostic and predictive biomarkers in various tumors, including BC, but their role in HER2+ mBC is poorly understood. This multicentric retrospective cohort study evaluated the prognostic significance of TILs in 110 patients with HER2+ mBC treated with pertuzumab, trastuzumab, and taxane-based chemotherapy at two Italian institutes from June 2013 to May 2024. TILs were assessed on metastatic or primary tumor samples. High TILs levels (>5%) were independently associated with longer PFS and OS. TILs levels were higher in primary tumours than in metastases (p = 0.009), with significant variation by metastatic site. These findings underscore the potential of TILs as prognostic biomarkers in HER2+ mBC, necessitating further prospective studies.

Vasculogenic mimicry (VM) is the process by which cancer cells form vascular-like channels to support their growth and dissemination. These channels lack endothelial cells and are instead lined by the tumour cells themselves. VM was first reported in uveal melanomas but has since been associated with other aggressive solid tumours, such as triple-negative breast cancer (TNBC). In TNBC patients, VM is associated with tumour aggressiveness, drug resistance, metastatic burden, and poor prognosis. The lack of effective targeted therapies for TNBC has stimulated research on the mechanisms underpinning VM in order to identify novel druggable targets. In recent years, studies have highlighted the role of nitric oxide (NO), the NO synthesis inhibitor, asymmetric dimethylarginine (ADMA), and dimethylarginine dimethylaminohydrolase 1 (DDAH1), the key enzyme responsible for ADMA metabolism, in regulating VM. Specifically, NO inhibition through downregulation of DDAH1 and consequent accumulation of ADMA appears to be a promising strategy to suppress VM in TNBC. This review discusses the current knowledge regarding the molecular pathways underpinning VM in TNBC, anti-VM therapies under investigation, and the emerging role of NO regulation in VM.

Triple-negative breast cancer (TNBC), accounting for about 10%-20% of all breast cancer cases, is characterized by its aggressive nature, high recurrence rates, and poor prognosis. Unlike other breast cancer subtypes, TNBC lacks hormone receptors and specific molecular targets, limiting therapeutic options. In recent years, immune checkpoint inhibitors (ICIs) have shown promise in treating TNBC by targeting immune evasion mechanisms. Despite these advancements, several issues remain unresolved, including low response rates in programmed cell death ligand 1 (PD-L1) negative TNBC subtypes and the challenge of predicting which patients will benefit from ICIs. Consequently, there is growing interest in identifying reliable biomarkers beyond PD-L1 expression. This review synthesizes recent studies to provide a comprehensive perspective on ICI therapy in TNBC, clarifying the status of single-agent ICI therapies and combination strategies, emphasizing the need for further research into biomarkers. These insights provide clues for more personalized and effective treatment approaches, ultimately aiming to improve clinical outcomes for patients with TNBC.

The randomized multicentric phase II Neo-CheckRay trial investigated preoperative immune-modulating stereotactic body radiation therapy (iSBRT) 8 Gy x 3 fractions in combination with chemotherapy with or without the anti PD-L1 durvalumab and the anti-CD73 oleclumab in early-stage, high-risk, luminal B breast cancer. iSBRT was solely delivered to the primary breast cancer leveraging on its immune modulating potential to sustain an anti-tumour response. To avoid immunosuppression induced by radiation therapy (RT), the tumour draining lymph nodes (TDLN) were spared. Here, we present the constraints used in the Neo-CheckRay trial and a dosimetric analysis of all delivered treatment plans with a special focus on the dose to the TDLN.

Main constraints were the skin (D0.1 cc < 19.2 Gy), chest wall (D1cc < 15 Gy) and ipsilateral uninvolved breast (V24Gy < 30 %). The dose to the TDLN was reduced by avoiding beams entering or exiting the TDLN. In the present work, the DICOM-RT data of all the patients treated in the Neo-CheckRay trial were collected (n = 151) to describe doses to the target volume, to the organs at risk and the TDLN. The TDLN volumes consisted of the internal mammary nodes (IMN) and the axilla levels I-IV including the interpectoral nodes.

In 151 patients, the median V95% of the gross target volume (GTV) and planning target volume (PTV) were 97.4 % (90 % CI 26.5-100) and 95.5 % (56.1-100). The mean dose (dMean) to all TDLN volumes was < 1 Gy. The highest dMean were to the IMN and axilla level 1: 0.8 Gy (90 % CI 0.1-2.7) and 0.6 Gy (0.0-3.9), respectively. The dMean to the involved lymph nodes, if present, was 0.3 Gy (0.0-5.0).

In the Neo-CheckRay trial, the predefined organs at risk dose constraints were feasible and the TDLN were adequately spared.

In HER2+ breast cancer (BC), neoadjuvant therapy represents an ideal scenario for translational research, considering pathological complete response (pCR) as an endpoint. In these patients, achieving pCR after neoadjuvant therapy is associated with a better prognosis. However, biomarkers are needed to tailor optimal treatment for each patient. Evaluating tumour-infiltrating lymphocytes (TILs) has gained attention in predicting pCR. In the context of metastatic disease, TILs also appear to play a role in predicting outcomes. The interaction between the presence of TILs and reactive oxygen species (ROS) remains an area to be explored. ROS are critical for tumour cell homeostasis, and different levels can trigger differential biological responses in cancer cells and their microenvironment. Nevertheless, the influence of ROS on treatment efficacy and prognosis in patients with HER2+ BC remains to be elucidated. In this article, we reviewed the interplay between treatment response, immune system activation, and ROS production in HER2+ BC and suggested novel areas of intervention and research. We also present a bioinformatic analysis demonstrating that the altered expression of several redox-related genes could be associated with the prevalence of immune cell populations in the tumour microenvironment and with patient survival. New biomarkers are thus suggested and should be further explored to tailor the best treatment to each patient.

Triple-negative breast cancer (TNBC) continues to present a therapeutic challenge due to the fact that by definition, these cancer cells lack the expression of targetable receptors. Current treatment options include cytotoxic chemotherapy, antibody-drug conjugates (ADC), and the PD-1 checkpoint inhibitor, pembrolizumab. Due to high rates of recurrence, current guidelines for early-stage TNBC recommend either multi-agent chemotherapy or chemo-immunotherapy in all patients other than those with node-negative tumors < 0.5 cm. This approach can lead to significant long-term effects for TNBC survivors, driving a growing interest in de-escalating therapy where appropriate. Tumor infiltrating lymphocytes (TILs) represent a promising prognostic and predictive biomarker for TNBC. These diverse immune cells are present in the tumor microenvironment and within the tumor itself, and multiple retrospective studies have demonstrated that a higher number of TILs in early-stage TNBC portends a favorable prognosis. Research has also explored the potential of TIL scores to predict the response to immunotherapy. However, several barriers to the widespread use of TILs in clinical practice remain, including logistical and technical challenges with the scoring of TILs and lack of prospective trials to validate the trends seen in retrospective studies. This review will present the current understanding of the role of TILs in TNBC and discuss the future directions of TIL research.

With the emergence of novel anti-HER2 antibody drug conjugates, patients with HER2-low breast cancer have received increased attention. Tumor-infiltrating lymphocytes (TILs) are significantly associated with survival benefits in cancers. However, their prognostic value in patients with low her2 breast cancer is unknown. Therefore, we aimed to determine the relationship between TILs and recurrence in patients with HER2-low breast cancer.

Clinicopathological data were retrospectively collected from patients with human epidermal growth factor receptor 2 (HER2) low-expression breast cancer who underwent consultations at Qingdao University Affiliated Hospital. We determined the correlation between TILs and disease-free survival (DFS) followed by the threshold value of TILs using X-tile software. Survival was assessed using Kaplan-Meier analysis, and cox regression analysis was performed for recurrence risk modeling.

Our study showed a 15% TIL level was the optimal cutoff for DFS. The low and high TILs survival curves showed significant differences in the log-rank test (p = 0.009). Cox regression analyses found that lymph node stage, histologic grading, TILs, and Ki-67 were independent variables influencing the prognosis (p < 0.05). On this basis, we developed a risk prediction model to accurately predict the 3- and 5-year disease-free survival rates of patients with HER2-low breast cancer, the model demonstrated good overall performance.

TILs are associated with recurrence in patients with breast cancer and low HER2 levels. TILs > 0.15 is a reliable indicator of DFS. For patients with low TILs (≤ 0.15), extensive follow-up is required. These findings provide a basis for targeted, individualized treatment.

Triple-negative breast cancer (TNBC) is a highly heterogeneous cancer with substantial recurrence potential. Currently, surgery and chemotherapy are the main treatments for this disease. However, chemotherapy is often limited by several factors, including low bioavailability, significant systemic toxicity, inadequate targeting, and multidrug resistance. Immune checkpoint inhibitors (ICIs), including those targeting programmed death protein-1 (PD-1) and its ligand (PD-L1), have been proven effective in the treatment of various tumours. In particular, in the treatment of TNBC with PD-1/PD-L1 inhibitors, both monotherapy and combination chemotherapy, as well as targeted drugs and other therapeutic strategies, have broad therapeutic prospects. In addition, these inhibitors can participate in the tumour immune microenvironment (TIME) through blocking PD-1/PD-L1 binding, which can improve immune efficacy. This article provides an overview of the use of PD-1/PD-L1 inhibitors in the treatment of TNBC and the progress of multiple therapeutic studies. To increase the survival of TNBC patients, relevant biomarkers for predicting the efficacy of PD-1/PD-L1 inhibitor therapy have been explored to identify new strategies for the treatment of TNBC.

Obesity increases the risk of papillary thyroid carcinoma (PTC) and lymph node metastasis (LNM), possibly via modulation of the tumor immunological microenvironment.

The STROCSS guideline was followed to conduct a retrospective cohort study. Binary logistic regression analysis with odds ratios (OR) was performed to assess the association between tumor-infiltrating lymphocytes (TILs), obesity, and LNM. Using The Cancer Genome Atlas (TCGA) data, we examined the relationship between immune cell subsets and obesity-regulating molecules in thyroid cancer tissues. The Cox regression risk model was used to analyze the prognosis of thyroid cancer.

After adjusting for confounding factors, our findings revealed that overweight and obesity were associated with a decrease in TIL infiltration (OR 0.876, p = 0.005 and OR 0.795, p = 0.001, respectively). Furthermore, these conditions were observed to be correlated with increased likelihood of LNM (OR 1.134, p = 0.005 and OR 1.307, p < 0.001, respectively). On the contrary, TIL infiltration was inversely associated with LNM (OR 0.868, p < 0.001). When controlling for TIL infiltration as the sole variable, the combination of obesity and TIL infiltration did not independently predict LNM (adjusted OR 1.442, p = 0.113). However, obesity alone was found to elevate the likelihood of LNM (adjusted OR 1.539, p = 0.02). Additionally, adiponectin (a crucial adipokine) was reduced in obesity and demonstrated a negative correlation with the abundance of infiltrated dendritic cells and regulatory T cells, as evidenced by TCGA data analysis. Furthermore, ADIPOR2 expression negatively correlated with LNM and positively associated with unfavorable prognosis in PTC, with a hazard ratio of 0.480 (p = 0.007).

TIL infiltration may affect obesity-associated PTC LNM. Obesity may affect LNM and result in poor prognosis through ADIPOR2 regulation of antitumor immune cells.

Predictive biomarkers to better tailor therapy for patients with early-stage human epidermal growth factor 2 (HER2)-positive breast cancer are a priority. We hypothesized that HER2 and immune-based biomarkers would be predictive of pathologic complete response (pCR) to preoperative trastuzumab/pertuzumab (HP).

Patients with stage II/III, estrogen receptor (ER)-negative, HER2-positive breast cancer received neoadjuvant HP in the TBCRC026 clinical trial. The pCR after receiving HP alone was 22% (18/83). Tumor biopsies were performed at baseline. Secondary correlative objectives were to determine the relationship between HER2-based biomarkers and immune processes with pCR. NanoString code sets BC360 and IO360 were used to compare differential gene expression in baseline tumors that underwent pCR versus no pCR. NanoString GeoMx digital spatial profiling was used to assess immune protein abundance in intraepithelial and stromal segments. Stromal tumor-infiltrating lymphocytes and Ki67 were evaluated by hematoxylin and eosin and immunohistochemistry, respectively.

Intraepithelial HER2 protein abundance was significantly associated with pCR (P = .001). Low HER2 abundance tumors were primarily basal-like, and essentially all (19/20) failed to achieve pCR. High HER2 abundance tumors that achieved pCR (14/51) exhibited a high degree of immune cell activity, whereas high HER2 abundance tumors that failed to achieve pCR tumors (37/51) were enriched for M-phase processes and epidermal growth factor receptor signaling. Baseline Ki67 was significantly higher in nonresponders (P = .04).

ER-negative, HER2-positive breast cancer has unique molecular and immunologic features that may predict pCR after neoadjuvant HP. Validation of these potential biomarkers and composite biomarker analyses may guide design of future clinical trials.

Tumor-infiltrating lymphocytes (TILs) are associated with lymph node metastasis and prognosis in breast cancer. Therefore, we explored the value of TILs in predicting sentinel lymph node metastasis (SLNM) in patients with early-stage (cT1-2N0) breast cancer and provided a new method for preoperative assessment of SLNM status.

This study included 337 patients with early-stage breast cancer who underwent surgery at our hospital from January 2022 to December 2023. The expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki-67 in the patients was assessed using immunohistochemistry (IHC). TILs in the core needle biopsy samples were evaluated histopathologically, and patients were divided into high and low TILs groups based on the density of TILs. Statistical analysis was conducted, and a predictive model was established.

The study found that patients with high TILs had a significantly lower rate of SLNM compared to those with low TILs (P < 0.001). The cT stage and the level of TILs were identified as independent predictive factors for SLNM. The ROC curve analysis indicated that the density of TILs has good predictive efficacy for SLNM. Based on the results of the multivariate regression analysis, a nomogram predictive model for SLNM was constructed.

Our study showed that the density of TILs and cT stage are independent predictive factors for SLNM in early-stage (cT1-2N0) breast cancer, and the predictive effect of TILs density on SLNM is significant in Luminal and triple-negative breast cancers.

Breast cancer is a leading malignancy in women, with mortality disparities between developed and underdeveloped regions. Accumulating evidence suggests that the competitive endogenous RNA (ceRNA) regulatory networks play paramount roles in various human cancers. However, the complexity and behavior characteristics of the ceRNA network in breast cancer progression have not been fully elucidated. The expression profiles of three RNAs (long non-coding RNAs [lncRNAs], microRNAs [miRNAs], and mRNAs) were extracted from breast cancer and adjacent samples were sourced from the TCGA database. The SLC26A4-AS1- hsa-miR-19a-3p-NTRK2 ceRNA network related to the prognosis of breast cancer was obtained by performing bioinformatics analysis. Importantly, we identified the SLC26A4-AS1/NTRK2 axis within the ceRNA network through correlation analysis and found it to be a potential prognostic model in clinical outcomes based on Cox regression analysis. Moreover, methylation analysis suggests that the aberrant downregulation of the SLC26A4-AS1/NTRK2 axis might be attributed to hypermethylation at specific sites. Immune infiltration analysis indicates that the SLC26A4-AS1/NTRK2 axis may have implications for the alteration of the tumor immune microenvironment and the emergence and progression of immune evasion in breast cancer. Finally, we validated the expression of SLC26A4-AS1-hsa-miR-19a-3p-NTRK2 in breast cancer cell lines. In summary, the present study posits that the SLC26A4-AS1/NTRK2 axis, based on the ceRNA network, could be a novel and significant prognostic factor associated with breast cancer diagnosis and outcomes.

Major advances have been achieved in the characterization of primary breast cancer genomic profiles. Limited information is available on the genomic profile of tumors originating from different metastatic locations in recurrent/metastatic (R/M) breast cancer, especially in Asian patients. This study aims to decipher the mutational profiles of primary and R/M breast cancer in Chinese patients using next-generation sequencing.

A total of 563 breast cancer patients were enrolled, and 590 tumor tissues and matched peripheral blood samples were collected and subjected to targeted sequencing with a panel of 1,021 cancer-related genes. The mutation spectrum, DNA damage response (DDR) genes, commonly altered signal pathways, and immunotherapy-related markers were compared between primary and R/M breast cancer. The molecular differences between our cohort and the Memorial Sloan Kettering Cancer Center (MSKCC) dataset were also explored.

A total of 361 samples from primary and 229 samples from R/M breast cancer were analyzed. BRCA2, ATRX, and ATM were more frequently observed in R/M lesions among the 36 DDR genes. An ESR1 mutation and PD-L1 and PD-L2 amplification were enriched in R/M breast cancer (all p<0.05). Compared with the MSKCC dataset, we recruited more patients diagnosed at age 50 or younger and more patients with triple-negative breast cancer (TNBC) subtypes. The TNBC patients in our dataset had a higher percentage of PD-L1 amplification in metastasis tumors (p<0.05).

This study revealed the distinctive mutational features of primary and R/M tumors in Chinese breast cancer patients, which are different from those from Western countries. The enrichment of PD-L1 amplification in metastatic TNBC indicates the necessity to re-biopsy metastatic tumors for immunotherapy.

The aim of this study was to examine the clinical utility of tumor-infiltrating lymphocytes (TILs) evaluated by "average" and "hot-spot" methods in breast cancer patients.

We examined 367 breast cancer patients without neoadjuvant chemotherapy (NAC) by average and hot-spot methods to determine the consistency of TIL scores between biopsy and surgical specimens. TIL scores before NAC were also compared with the pathological complete response (pCR) rate and clinical outcomes in 144 breast cancer patients that received NAC. TIL scores evaluated by the two methods were predicted from clinicopathological data using random forest regression.

Surgical specimens showed higher TIL scores than biopsy specimens using the hot-spot method (p < 0.001), while biopsy and surgical specimens showed similar TIL scores using the average method. There was a linear relationship between the pCR rate and TIL scores determined using hot-spot (p < 0.001) and average methods (p = 0.001). Patients without pCR and low TILs by the average method had significantly worse overall survival compared to other patients (p = 0.02). The root mean squared errors of the predicted TIL score for the test set were 19.662 (hot-spot) and 10.955 (average).

The average method may have an advantage for breast cancer patients receiving NAC, since the TIL score using this method is more consistent between biopsy and surgical specimens, and it associates better with clinical outcomes. Our exploratory study showed that machine learning from clinicopathological data may better predict TIL scores assessed by the average, rather than hot-spot, method.

This study aims to investigate the clinicopathological characteristics of triple-negative breast cancer (TNBC) in relation to programmed cell death ligand 1 (PD-L1) and major histocompatibility complex class I (MHC class I) expression, with a focus on their prognostic significance.

A retrospective analysis was conducted on formalin-fixed paraffin-embedded (FFPE) tissue samples from 148 TNBC patients diagnosed between 2008 and 2021. Immunohistochemical analysis evaluated PD-L1 and MHC class I expression. PD-L1 was assessed using Combine Positive Scores (CPS), with the threshold set at CPS ≥ 1 and CPS ≥ 10. MHC class I expression was categorized into low and high levels. Associations between these markers, clinicopathological features, overall survival (OS), and disease-free survival (DFS) were analyzed. PD-L1 expression was also compared between older FFPE blocks (2008-2018) versus newer blocks (2019-2021).

PD-L1 expression was observed in 29.1% of cases with a Combined Positive Score (CPS) ≥1 and 8.8% of CPS ≥10 cases. MHC class I expression was evenly split between low and high levels. Older FFPE blocks (2008-2018) showed lower PD-L1 expression than newer blocks (2019-2021). There was no significant association between PD-L1 expression and overall survival (OS) or disease-free survival (DFS). However, high MHC class I expression was strongly associated with improved OS (HR = 0.469, 95% CI: 0.282-0.780, p=0.004). Patients with negative PD-L1 and high MHC class I expression had the most favorable prognosis, with significant OS for CPS ≥1 (HR = 0.447, 95% CI: 0.236-0.846, p=0.013) and CPS ≥10 (HR = 0.516, 95% CI: 0.307-0.869, p=0.013).

These findings support the potential of PD-L1 and MHC class I expression as prognostic markers for TNBC, offering insights to guide treatment decisions and improve patient outcomes.

Current chemotherapy regimens for patients with ERBB2 (formerly HER2)-positive breast cancer are associated with considerable morbidity. These patients may benefit from more effective and less toxic therapies.

To evaluate the safety, immunogenicity, and preliminary efficacy of intratumoral (IT) delivery of conventional type 1 dendritic cells (cDC1) in combination with ERBB2-targeted therapies.

This phase 1 (lead-in phase of a single-center phase 2 trial) nonrandomized clinical trial was conducted at Moffitt Cancer Center (Tampa, Florida). Patients were enrolled from October 2021 to October 2022. Data were analyzed in 2023 Patients with early-stage ERBB2-positive breast cancer with tumors 1 cm or larger were eligible.

Treatment included IT delivery of cDC1, 6 times weekly, followed by paclitaxel, 80 mg/m2, intravenously, 12 times weekly. Trastuzumab (8 mg/kg loading dose, then 6 mg/kg) and pertuzumab (840 mg loading dose, then 420 mg) were administered intravenously every 3 weeks for 6 cycles starting from day 1 of cDC1 injections. Two dose levels (DLs) of IT cDC1 (DL1 = 50 million and DL2 = 100 million cells) were evaluated, including 6 patients in each DL.

The primary outcomes were the safety and immune response, and the secondary outcomes were the antitumor efficacy as measured by breast magnetic resonance imaging and residual cancer burden at surgery following neoadjuvant therapy.

Twelve ERBB2-positive patients were enrolled and received treatment (DL1 = 6 and DL2 = 6). Nine patients had hormone receptor-positive disease and 3 had hormone receptor-negative disease, with clinical stage I (n = 5), II (n = 4), and III (n = 3). The most frequently observed adverse events with cDC1 were grade 1 to 2 chills (50%), fatigue (41.7%), headache (33%), and injection site reactions (33%). DL2 was associated with a diminished anti-ERBB2 CD4 T-helper 1 blood response with a concomitant increase in innate and adaptive responses within the tumor. Preimmunotherapy and postimmunotherapy breast magnetic resonance imaging results showed 9 objective responses, 6 partial responses, 3 complete responses, and 3 stable diseases. Following surgery, 7 patients had a pathologic complete response.

In this nonrandomized clinical trial, the addition of IT cDC1 and trastuzumab/pertuzumab before neoadjuvant chemotherapy was well tolerated with manageable adverse effects. Based on safety and immunogenicity, DL2 was selected for the phase 2 dose.

ClinicalTrials.gov Identifier: NCT05325632.

The lack of sensitive and accurate monitoring methods for in vivo estrogen levels presents challenges for better prevention of estrogen-induced diseases. We have developed a label-free electrochemical aptasensor that demonstrates high sensitivity and selectivity for the broad-spectrum detection of estrogen molecules. This biosensor uses gold nanoparticles for electrochemical signal amplification and aptamers for broad-spectrum target recognition, enabling precise detection of trace amounts of estrogen in serum samples. The aptasensor demonstrates high sensitivity in estrogen detection, with a linear detection range of 0.01-1 nM and a minimum detection limit of 3 pM. It also exhibits excellent selectivity and interference resistance, with a detection error of less than 19 %, even in the presence of high concentrations of other biological substances. Additionally, molecular dynamics simulations were performed to provide insights into the molecular mechanism of aptamer broad-spectrum recognition and construction principles underlying the sensor. We anticipate that this aptasensor will serve as a robust, convenient, and cost-effective detection method, offering a valuable solution for the prevention of estrogen-induced diseases.

This study aims to develop radiomics models and a nomogram based on machine learning techniques, preoperative dual-energy computed tomography (DECT) images, clinical and pathological characteristics, to explore the tumor microenvironment (TME) of clear cell renal cell carcinoma (ccRCC).

We retrospectively recruited of 87 patients diagnosed with ccRCC through pathological confirmation from Center I (training set, n = 69; validation set, n = 18), and collected their DECT images and clinical information. Feature selection was conducted using variance threshold, SelectKBest, and the least absolute shrinkage and selection operator (LASSO). Radiomics models were then established using 14 classifiers to predict TME cells. Subsequently, we selected the most predictive radiomics features to calculate the radiomics score (Radscore). A combined model was constructed through multivariate logistic regression analysis combining the Radscore and relevant clinical characteristics, and presented in the form of a nomogram. Additionally, 17 patients were recruited from Center II as an external validation cohort for the nomogram. The performance of the models was assessed using methods such as the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA).

The validation set AUC values for the radiomics models assessing CD8+, CD163+, and αSMA+ cells were 0.875, 0.889, and 0.864, respectively. Additionally, the external validation cohort AUC value for the nomogram reaches 0.849 and shows good calibration.

Radiomics models could allow for non-invasive assessment of TME cells from DECT images in ccRCC patients, promising to enhance our understanding and management of the tumor.

The efficacy of immunotherapy for estrogen receptor-positive/HER2-negative (ER+/HER2-) metastatic breast cancer (MBC) has not been proven. We conduct a phase 1b/2 trial to assess the efficacy of combining pembrolizumab (anti-PD1 antibody), exemestane (nonsteroidal aromatase inhibitor), and leuprolide (gonadotropin-releasing hormone agonist) for 15 patients with premenopausal ER+/HER2- MBC who had failed one to two lines of hormone therapy (HT) without chemotherapy. The primary endpoint of progression-free survival rate at 8 months (i.e., 64.3%) is achieved. Moreover, 5 of the 14 evaluable subjects exhibited partial responses (overall response rate = 35.7%). The combination of anti-PD1 antibody and anti-hormone therapy is associated with an enhanced immunoreactive microenvironment influencing treatment efficacy, as observed in pre- and post-treatment tumor samples through NanoString analysis. Post-treatment tumors are associated with increased immune response and immune cells. The findings indicate that combining HT with anti-PD1 antibody is a promising treatment strategy for patients with premenopausal ER+/HER2- MBC. This study was registered at ClinicalTrials.gov (NCT02990845).

Triple-negative breast cancer (TNBC) is an aggressive subtype often characterized by high lymphocyte infiltration, including tumor-infiltrating B cells (TIBs). These cells are present even in early stages of TNBC and associated with microinvasion. This study shows that co-culturing TNBC cells with B cells increases Interleukin-1β (IL-1β) expression and secretion. We further show that B cell-induced IL-1β activates NFκB signaling, leading to higher expression of target genes and promoting IL-1β-dependent increases in matrix metalloproteinase (MMP) activity, invasion, and migration. Immunohistochemical analysis of IL-1β and TIBs in triple-negative ductal carcinoma in situ (DCIS, n = 90) and invasive TNBC (n = 171) revealed that in DCIS, TIBs correlated with IL-1β expression and microinvasion, with IL-1β also linked to recurrence. In invasive TNBC, IL-1β expression correlated with TIB density and stage, with high IL-1β levels associated with poorer survival outcomes. These findings suggest that early B cell presence in TNBC can induce IL-1β secretion, enhancing invasion and mobility through IL-1β-NFκB signaling. This highlights the potential of IL-1 inhibitors as preventive and therapeutic options for hormone receptor-negative DCIS and TNBC.

Radiation therapy is an underinvestigated tool for priming the immune system in intact human breast cancers. We sought here to investigate if a preoperative radiation therapy boost delivered was associated with a significant change in tumor-infiltrating lymphocytes (TILs) in the tumor in estrogen receptor positive, HER2Neu nonamplified breast cancers.

A total of 20 patients were enrolled in a phase 2 clinical trial and received either 7.5 Gy × 1 fraction or 2 Gy × 5 fractions, completed 6 to 8 days before surgery. Percent stromal TILs were evaluated on hematoxylin and eosin-stained samples. Short-term safety was assessed based on time to surgery, toxicities, and cosmesis up to 6 months after boost.

Stromal TIL increased 6 to 8 days after completion of boost radiation therapy (median 3.0 [IQR, 1.0-6.5]) before radiation therapy versus median 5.0 (IQR, 1.5-8.0) after radiation therapy, P = .0037. Zero grade ≥3 toxicities up to 6 months after boost were experienced. In all, 94% (16/17) patients with 6-month follow-up cosmetic assessment after breast conservation had good-excellent cosmesis by physician assessment.

In this phase 2 trial, preoperative radiation therapy boost resulted in a short-term increase in stromal TIL with minimal toxicities. Preoperative breast radiation therapy appears to be safe and may be a feasible means for priming the tumor microenvironment.

Tumor-infiltrating lymphocyte (TIL) levels are prognostic and predictive factors for breast cancer. Unlike other subtypes, most luminal A breast cancers are immune deserts; however, the underlying mechanisms are poorly understood.

Immune-related cytokines, chemokines, and growth factors were measured in the sera of 103 patients with breast cancer using a multiplex panel. The TILs were evaluated for hotspot lesions.

Circulating interleukin 1 receptor antagonist (IL-1ra), IL-8, IL-12, IL-17, macrophage inflammatory protein-1β (MIP-1b), and platelet-derived growth factor B homodimer (PDGF-bb) concentrations were significantly associated with TIL levels. Cluster analysis using these six variables identified six clusters related to TIL levels. Breast cancers with high TILs (≥ 50%) were most frequent in cluster 3 (9 out of 15 cases, 60.0%), followed by cluster 1 (8 out of 34 cases, 23.5%), and the fewest in cluster 6 (1 out of 21 cases, 4.8%), whereas only one or three cases were present in clusters 2, 4, and 5 (p = 0.0064). Cluster 6, consisting mostly of luminal A (19 out of 21 cases, 90.5%), showed high levels of IL-12, IL-17, and PDGF-bb, and low levels of MIP-1b.

We identified a luminal A-associated immunosuppressive cytokine signature in circulation. These results suggest that a tumor microenvironment with high levels of IL-17 and PDGF-bb, and low levels of MIP-1b in luminal A breast cancers results in low induction of TILs. Our data may partially explain the low TIL levels observed in the patients with luminal A breast cancer.

To evaluate the relationship between kinetic parameters of ultrafast dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and tumor-infiltrating lymphocytes (TILs) in breast cancer.

This retrospective study was approved by an institutional review board and included 76 women (median age: 60) with 76 surgically proven breast cancers who underwent DCE MRI including ultrafast sequence. Based on the TILs level, we classified the patients into the low-TILs (< 10%) group and the high-TILs (≥ 10%) group. Maximum slope (MS) and time to enhancement (TTE) derived from ultrafast DCE sequence were correlated in each TILs group. The percentages of six kinetic patterns (fast, medium, and slow from the early phase, washout, plateau, and persistent from the delayed phase) derived from the conventional DCE sequence were also correlated in each TILs group.

Of the 76 breast cancers, 57 were in the low-TILs group and 19 comprised the high-TILs group. The median MS in the high-TILs group (32.4%/sec) was significantly higher than that in the low-TILs group (23.68%/s) (p = 0.037). In a receiver-operating characteristic (ROC) analysis, the area under the curve (AUC) for differentiating between the high- and low-TILs group was 0.661. The TTE in the high-TILs group was significantly shorter than that in the low-TILs group (p = 0.012). In the ROC analysis, the AUC was 0.685. There were no significant differences between the percentages of the six kinetic patterns from the conventional DCE sequence and the TILs level (p = 0.075-0.876).

Compared to the low-TILs group, the high-TILs group had higher MS and shorter TTE.

Novel agents have expanded the traditional HER2 definitions to include HER2-Low (HER2L) Breast Cancer (BC). We sought to evaluate the distinct molecular characteristics of HER2L BC to understand potential clinical/biologic factors driving resistance and clinical outcomes.

Retrospective analysis was performed on 13,613 BC samples, tested at Caris Life Sciences via NextGen DNA/RNA Sequencing. BC subtypes were defined by IHC/ISH. CODEai database was used to access clinical outcomes from insurance claims data.

Overall, mutational landscape was similar between HER2L and classical subsets of HR+and HRneg cohorts. TP53 mutations were significantly higher in HRneg/HER2L group vs. HR+/HER2L tumors (p<0.001). A higher mutation rate of PIK3CA was observed in HRneg/HER2L tumors compared to TNBC subtype (p=0.016). PD-L1 positivity was elevated in HRneg/HER2L tumors compared to HR+/HER2L tumors, all p<0.01. Patients with HR+/HER2L tumors treated with CDK4/6 inhibitors had similar OS compared to pts with HR+/HER2-0 (HR=0.89, p=0.012). 27.2% of HR+/HER2L pts had activating PIK3CA mutations. Among HR+PIK3CA mutated tumors, HER2L pts treated with alpelisib showed no difference in OS vs. HER2-0 alpelisib-treated pts (HR=1.23, p=0.517). 13.9% of HER2L TNBC pts were PD-L1+. Interestingly, pts with PD-L1+ HER2L/HRneg (TNBC) treated with immune checkpoint inhibitors (ICI) showed improved OS than HER2-0 TNBC (HR=0.61, p=0.046).

Our findings expand the understanding of the molecular profile of the HER2L subgroup and comparison to the classically defined breast cancer subgroups. Genomic risk assessments after progression on novel therapeutics can be assessed to better define implications for mechanisms of resistance.

Breast cancer (BC) is a leading cause of death worldwide, particularly also among African woman. In order to better stratify patients for the most effective (immuno-) therapy, an in depth characterization of the immune status of BC patients is required. In this study, a cohort of 65 Ethiopian patients with primary BC underwent immune profiling by multicolor flow cytometry on peripheral blood samples collected prior to surgery and to any other therapy. Comparison with peripheral blood samples from healthy donors highlighted a general activation of the immune system, accompanied by the presence of exhausted CD4+ T cells and senescent CD8+ T cells with an inverted CD4/CD8 ratio in approximately 50% of BC cases. Enhanced frequencies of γδ T cells, myeloid-derived suppressor cells and regulatory T cells were also found. Correlation with clinical parameters demonstrated a progressive reduction in T cell frequencies with increasing histopathological grading of the tumor. Differences in CD8+ T cells and B cells were also noted among luminal and non-luminal BC subtypes. In conclusion, Ethiopian BC patients showed several alterations in the composition and activation status of the blood immune cell repertoire, which were phenotypically associated with immune suppression. The role of these immunological changes in the clinical outcome of patients with BC will have to be determined in follow-up studies and confirmed in additional patients' cohorts.

Triple-negative breast cancer (TNBC) is an aggressive subtype often characterized by high lymphocyte infiltration, including tumor-infiltrating B cells (TIBs). These cells are present even in early stages of TNBC and associated with microinvasion. This study shows that co-culturing TNBC cells with B cells increases Interleukin-1β (IL-1β) expression and secretion. We further show that B cell-induced IL-1β activates NFκB signaling, leading to higher expression of target genes and promoting IL-1β-dependent increases in matrix metalloproteinase (MMP) activity, invasion, and migration. Immunohistochemical analysis of IL-1β and TIBs in triple-negative ductal carcinoma in situ (DCIS, n=90) and invasive TNBC (n=171) revealed that in DCIS, TIBs correlated with IL-1β expression and microinvasion, with IL-1β also linked to recurrence. In invasive TNBC, IL-1β expression correlated with TIB density and stage, with high IL-1β levels associated with poorer survival outcomes. These findings suggest that early B cell presence in TNBC can induce IL-1β secretion, enhancing invasion and mobility through IL-1β-NFκB signaling. This highlights the potential of IL-1 inhibitors as preventive and therapeutic options for hormone receptor-negative DCIS and TNBC.

Immunochemotherapy with pembrolizumab has been integrated into clinical practice as part of the standard-of-care for non-metastatic triple-negative breast cancer (TNBC) with high risk. We conducted a real-world study in TNBC patients treated with neoadjuvant chemotherapy to compare pathologic complete response (pCR) rates relative to stromal tumor-infiltrating lymphocytes (sTIL) across different regimens: non-carboplatin, carboplatin-, and pembrolizumab-chemotherapy.

We analyzed a cohort of 450 patients with TNBC who underwent surgery following neoadjuvant chemotherapy between March 2007 and February 2024. Treatment groups included 247 non-carboplatin, 120 carboplatin, and 83 pembrolizumab-chemotherapy recipients. sTIL was evaluated in biopsied samples. Lymphocyte-predominant breast cancer (LPBC) was defined as tumors with high sTIL (≥ 50%).

The pCR rates were 32% in the non-carboplatin-, 57% in the carboplatin-, and 64% in the pembrolizumab-chemotherapy group. Ninety-two patients (20.4%) had LPBC. In LPBC, the pCR rates did not increase with the addition of carboplatin (50.0% in the non-carboplatin and 41.7% in carboplatin) but reached 83.3% with the addition of pembrolizumab and carboplatin. Among the non-LPBC, the pCR rate increased from 26.7 to 61.1% with the addition of carboplatin, but there was no difference in the pCR rate between the carboplatin and pembrolizumab groups (61.1% and 61.2%, respectively).

In LPBC patients, the addition of carboplatin did not result in an elevated pCR rate; however, the addition of pembrolizumab tended to raise the pCR rate. In non-LPBC, the addition of carboplatin significantly increased the pCR rate, while the addition of pembrolizumab did not have the same effect.

Additional therapies are needed to improve outcomes in patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative breast cancer. Research on the potential role of immunotherapy, particularly programmed cell death protein 1/programmed cell death ligand 1 inhibitors, is rapidly expanding in both the early and metastatic settings with some preliminary evidence suggesting benefit when used as part of combination therapy. Several ongoing phase 3 studies should help define their future role in treating these patients.

There are conflicting data regarding the prognostic effect of microvascular density (MVD) in breast cancer and its molecular subtypes. It is thought that high levels of FOXP3 + T cells in breast cancer are associated with poor prognosis. However, data regarding FOXP3 show significant variability in the literature. In our study, we aim to measure MVD and FOXP3 + T cells in breast cancer cases and investigate their relationship with each other and their effects on breast cancer patients' clinical and prognostic features. In our study, the results of 207 female breast cancer patients whose excisional tumoral tissue was obtained are presented. The study evaluated the findings under a light microscope using antibodies against CD34 for measuring MVD and FOXP3 for measuring FOXP3-positive T cells. CD34 ≥ 17 was categorized as high MVD, and CD34 < 17 was classified as low MVD. FOXP3 + cell count ≥ 20/mm2 was categorized as high FOXP3 positivity and < 20/mm2 as low FOXP3 positivity. The SPSS program (version 22) was used to evaluate the results statistically, and p < 0.05 was considered significant. The median age was 54.0 (27-86) years, and the median follow-up period was 60.0 (IQR: 42.6-86.5) months. In the high MVD group, a higher progesterone receptor (PR) positivity rate was detected (p = 0.035). High FOXP3 positivity was significantly associated with high nuclear grade (p = 0.003). High FOXP3 positivity was significantly associated with PR negativity and high Ki67 values ​​(p = 0.009, p = 0.012, respectively). No statistically significant correlation was found between MVD elevation and FOXP3 positivity (r = 0.063, p = 0.36). A weakly significant positive correlation was detected between high Ki67 and FOXP3 positivity (r = 0.0146, p = 0.04). A weak inverse correlation was detected between high FOXP3 positivity and PR percentage values ​​(r=-0.182, p = 0.01). While there was no significant difference in disease-free survival in cases with high MVD and high FOXP3 + T cells compared to groups with low levels, the results were not mature enough because the median values ​​in overall survival could not be reached. A significant correlation was found between high FOXP3 positivity and some aggressive tumor features; no effect on survival was detected. In contrast to literature data on luminal A breast cancer, high MVD in the luminal B (HER2-) subgroup was associated with a lower risk of recurrence. Our study is the first in the literature to evaluate the relationship between MVD measured using CD34 and FOXP3 positive T cells in breast cancer. Our study found no correlation between MVD and FOXP3 positivity, while literature data show significant correlations in some other cancers.

The cutoff of <1% positive cells to define estrogen receptor (ER) negativity by immunohistochemistry (IHC) in breast cancer (BC) is debated. We explored the tumor immune microenvironment and gene-expression profile of patients with early-stage HER2-negative ER-low (ER 1%-9%) BC, comparing them to ER-negative (ER <1%) and ER-intermediate (ER 10%-50%) tumors.

Among 921 patients with early-stage I-III, ER ≤50%, HER2-negative BCs, tumors were classified as ER-negative (n = 712), ER-low (n = 128), or ER-intermediate (n = 81). Tumor-infiltrating lymphocytes (TILs) were evaluated. CD8+, FOXP3+ cells, and PD-L1 status were assessed by IHC and quantified by digital pathology. We analyzed 776 BC-related genes in 116 samples. All tests were 2-sided at a <.05 significance level.

ER-low and ER-negative tumors exhibited similar median TILs, statistically significantly higher than ER-intermediate tumors. CD8/FOXP3 ratio and PD-L1 positivity rates were comparable between ER-low and ER-negative groups. These groups showed similar enrichment in basal-like intrinsic subtypes and comparable expression of immune-related genes. ER-low and ER-intermediate tumors showed significant transcriptomic differences. High TILs (≥30%) were associated with improved relapse-free survival (RFS) in ER-low (5-year RFS 78.6% vs 66.2%, log-rank P = .033, hazard ratio [HR] 0.37 [95% CI = 0.15 to 0.96]) and ER-negative patients (5-year RFS 85.2% vs 69.8%, log-rank P < .001, HR 0.41 [95% CI = 0.27 to 0.60]).

ER-low and ER-negative tumors are similar biological and molecular entities, supporting their comparable clinical outcomes and treatment responses, including to immunotherapy. Our findings contribute to the growing evidence calling for a reevaluation of ER-positive BC classification and management, aligning ER-low and ER-negative tumors more closely.