KRAS mutations are common in non-small cell lung cancer (NSCLC) and are associated with patient prognosis; however, targeting KRAS has faced various difficulties. Currently, immunotherapy, chemotherapy, and chemoimmunotherapy play pivotal roles in the first-line treatment of KRAS-mutated NSCLC. Here, we summarize the current evidence on first-line therapies and compare the treatment outcomes and biomarkers for different regimens. KRAS inhibitors and other emerging alternative treatments are also discussed, as combining these drugs with immunotherapy may serve as a promising first-line treatment for KRAS-mutated NSCLC in the future. We hope that this review will assist in first-line treatment choices and shed light on the development of novel agents for KRAS-mutated NSCLC.

Precision medicine according to molecularly defined subgroups offers great potential to improve outcomes for patients with metastatic lung adenocarcinoma. This study describes clinical outcomes and the impact of co-occurring genetic alterations on outcomes following stereotactic radiosurgery (SRS) among patients with Kirsten rat sarcoma viral oncogene homolog (KRAS)-mutant lung adenocarcinoma.

A total of 195 patients with KRAS-mutant lung adenocarcinoma were treated with SRS for brain metastases (BMs) between 2014 and 2018 with follow-up until 2022 or death. Coprimary outcomes were median overall survival (OS) and intracranial progression-free survival (iPFS); univariable and multivariable Cox regression models and Kaplan-Meier survival analysis were used.

Median follow-up from the date of BM diagnosis was 11 months. Median OS and iPFS for the cohort were 27.7 months (95% CI, 19.7-36.8) and 22.1 months (95% CI, 16.8-48.9), respectively. Lesion-level local control at 12 and 24 months was 89.9% and 87.5%, respectively. In a multivariable Cox regression model, inferior OS was associated with coalterations in KEAP1 and STK11 (hazard ratio [HR], 1.94; 95% CI, 1.04-3.62; q = 0.087), progressive (HR, 3.41; 95% CI, 1.38-8.39; q = 0.087), and mixed response (HR, 3.52; 95% CI, 1.2-10.3; q = 0.092) extracranial disease, and 6 or more BMs at time of diagnosis (HR, 2.58; 95% CI, 1.22-6.63; q = 0.087). Positive programmed death ligand 1 status was associated with improved OS (HR, 0.57; 95% CI, 0.37-0.87; P = .01). Inferior iPFS was associated with chemotherapy before SRS (HR, 2.69; 95% CI, 1.42-5.09; q = 0.04) and age >65 years (HR, 2.21; 95% CI, 1.25-3.93; q = 0.055). KRAS G12C was not associated with differences in iPFS, OS, or type of intracranial progression event following SRS.

Coalteration of KRAS and KEAP1/STK11 was associated with inferior OS, but not iPFS. Similar outcomes were found in patients harboring KRAS G12C and non-G12C mutant non-small cell lung cancer BMs. Further understanding of molecularly characterized subgroups will be critical in driving personalized radiation therapy for patients with lung cancer BMs.

Constitutive activation of NRF2 provides a selective advantage to malignant tumour clones through the hijacking of the NRF2-dependent cytoprotective transcriptional program, which allows the cancer cells to survive and thrive in the chemically stressful tumour niche, whilst also providing resistance to anti-cancer drugs due to the upregulation of xenobiotic metabolizing enzymes and drug efflux pumps. Through a small-molecule epigenetic screen carried out in KEAP1 mutant lung cancer cells, in this study, we identified CCS1477 (Inobrodib) to be an inhibitor of the global NRF2-dependent transcription program. Mechanistically, CCS1477 is able to repress NRF2's cytoprotective response through the inhibition of its obligate transcriptional activator partner CBP/p300. Importantly, in addition to repressing NRF2-dependent anti-oxidative stress and xenobiotic metabolizing enzyme gene expression, CCS1477 treatment is also able to reverse the chemoresistance phenotype and re-sensitize NRF2-activated tumour cells to anti-cancer drugs. Furthermore, in co-culture experiments of KEAP1 mutant cancer cells with primary human T cells, CCS1477 treatment suppressed the acquisition of the T cell exhaustion transcriptional state, which should function to augment the anti-cancer immune response. Thus, CCS1477-mediated inhibition of CBP/p300 represents a novel therapeutic strategy with which to target the currently untreatable tumours with aberrant NRF2 activation.

Background/Objectives: We aimed to discover genes with bimodal expression linked to patient outcomes, to reveal underlying oncogenotypes and identify new therapeutic insights in lung adenocarcinoma (LUAD). Methods: We performed meta-analysis to screen LUAD datasets for prognostic genes with bimodal expression patterns. Kynureninase (KYNU), a key enzyme in tryptophan catabolism, emerged as a top candidate. We then examined its relationship with LUAD mutations, metabolic alterations, immune microenvironment states, and expression patterns in human and mouse models using bulk and single-cell transcriptomics, metabolomics, and preclinical model datasets. Pan-cancer prognostic associations were also assessed. Results: Model-based clustering of KYNU expression outperformed median-based dichotomization in prognostic accuracy. KYNU was elevated in tumors with KEAP1 and STK11 co-mutations but remained a strong independent prognostic marker. Metabolomic analysis showed that KYNU-high tumors had increased anthranilic acid, a catalytic product, while maintaining stable kynurenine levels, suggesting a compensatory mechanism sustaining immunosuppressive signaling. Single-cell and bulk data showed KYNU expression was cancer cell-intrinsic in immune-cold tumors and myeloid-derived in immune-infiltrated tumors. In murine LUAD models, Kynu expression was predominantly immune-derived and uncoupled from Nrf2/Lkb1 signaling, indicating poor model fidelity. KYNU's prognostic associations extended across cancer types, with poor outcomes in pancreatic and kidney cancers but favorable outcomes in melanoma, underscoring the need for lineage-specific considerations in therapy development. Conclusions:KYNU is a robust prognostic biomarker and potential immunometabolic target in LUAD, especially in STK11 and KEAP1 co-mutated tumors. Its cancer cell-intrinsic expression and immunosuppressive metabolic phenotype offer translational potential, though species-specific expression patterns pose challenges for preclinical modeling.

Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined analyses, limiting discoveries to expected biomarkers and potentially overlooking novel ones predictive of therapy response. In this work, we develop a novel machine-learning approach capable of exploring full landscape of mutations and combinations and identify potentially new predictive biomarkers for chemoimmunotherapy. Utilizing the liquid biopsy dataset from 313 non-small cell lung cancer (NSCLC) patients in the Phase 3 Impower150 trial (NCT02366143), we developed the HRdiffRF algorithm with a novel hazard ratio-splitting criterion. Predictive mutations and combinations were identified for overall survival (OS) improvement with atezolizumab plus bevacizumab plus carboplatin and paclitaxel (ABCP) compared to bevacizumab plus carboplatin and paclitaxel (BCP). Our analysis confirms the predictive role of KRAS mutations and reveals the predictive value of PTPRD and SMARCA4 mutations in chemoimmunotherapy efficacy. Unlike other KRAS wild-type NSCLC patients, NSCLC patients with KRAS wild-type status and mutations in FAT1, ERBB2, or PTPRD may benefit from chemoimmunotherapy, while NTRK3 and GNAS mutations could negatively impact survival. Patients harboring concurrent KRAS and KEAP1 mutations may not benefit from chemoimmunotherapy. These findings highlight the complex genetic factors influencing treatment response for chemoimmunotherapy in NSCLC. In summary, the proposed machine-learning tool identified potential predictive biomarkers for first-line chemoimmunotherapy in NSCLC and can be readily applied to other tumor types and studies. It can also be extended to explore predictive biomarkers beyond mutations.

Colorectal cancer (CRC) is one of the most common cancers worldwide, with KRAS mutations occurring in approximately 40% of cases. These mutations drive tumorigenesis through the constitutive activation of key signaling pathways, such as RAS-RAF-MEK-ERK (MAPK) and PI3K-AKT-mTOR, contributing to therapeutic resistance and poor prognosis. Advances in molecular biology have led to significant breakthroughs, including the development of KRAS G12C inhibitors, such as sotorasib and adagrasib, which have shown promise in clinical trials. However, their efficacy is limited to a small subset of KRAS-mutant CRC, and resistance mechanisms often emerge through compensatory pathway activation. Combination strategies, including KRAS inhibitors with anti-EGFR agents, have been explored in trials like KRYSTAL-1 and CodeBreaK 300. Emerging research highlights the role of the tumor microenvironment in immune evasion and therapeutic resistance, offering opportunities for novel immunotherapy approaches, including KRAS neoantigen vaccines and adoptive T-cell therapy. Despite these advancements, challenges such as intratumoral heterogeneity, limited immune infiltration, and non-G12C KRAS mutations remain significant hurdles. This review provides a comprehensive overview of the molecular mechanisms, current advances and challenges, and future prospects in the management of KRAS-mutant CRC.

Resectable non-small cell lung cancer (NSCLC) has a relatively poor prognosis owing to the risk of developing local or distant metastatic recurrence, even at stage I. To overcome the high recurrence rate, perioperative therapies have been rapidly developed through the combination of existing cytotoxic chemotherapies with immune checkpoint inhibitors (ICIs) and molecular targeted therapies. These new therapeutic strategies have significantly improved the prognosis of patients with stage II-III NSCLC and have been approved for clinical use. However, new challenges have emerged in the selection of the optimal perioperative treatment in clinical practice. First, it is currently difficult to determine which perioperative treatment is superior, preoperative or postoperative. Additionally, since surgery alone is curative in some patients, the addition of anticancer agents such as ICIs raises concerns regarding toxicity, as serious side effects during preoperative treatment may lead to an inability to perform the surgery itself. Moreover, because various perioperative treatments are still being developed, treatment options for perioperative care are expected to increase soon. To summarize the increasingly complex perioperative treatment of resectable NSCLC, this review provides a comprehensive summary of the clinical efficacies of current perioperative therapies and future directions based on basic background, patient selection, ongoing trials, and enhancing immunotherapy.

Tractable, patient-relevant models are needed to investigate cancer progression and heterogeneity. Here, we report an alternative in vitro model of lung squamous cell carcinoma (LUSC) using primary human bronchial epithelial cells (hBECs) from three healthy donors. The co-operation of ubiquitous alterations (TP53 and CDKN2A loss) and components of commonly deregulated pathways including squamous differentiation (SOX2), PI3K signalling (PTEN) and the oxidative stress response (KEAP1) is investigated by generating hBECs harbouring cumulative alterations. Our analyses confirms that SOX2-overexpression initiates early preinvasive LUSC stages, and co-operation with the oxidative stress response and PI3K pathways to drive more aggressive phenotypes, with expansion of cells expressing LUSC biomarkers and invasive properties. This cooperation is consistent with the classical LUSC subtype. Importantly, we connect pathway dysregulation with gene expression changes associated with cell-intrinsic processes and immunomodulation. Our approach constitutes a powerful system to model LUSC and unravel genotype-phenotype causations of clinical relevance.

Nuclear factor erythroid 2-related factor 2 (NRF2) is a redox-activated transcription factor regulating cellular defense against oxidative stress, thereby playing a pivotal role in maintaining cellular homeostasis. Its dysregulation is implicated in the progression of a wide array of human diseases, making NRF2 a compelling target for therapeutic interventions. However, challenges persist in drug discovery and safe targeting of NRF2, as unresolved questions remain especially regarding its context-specific role in diseases and off-target effects. This comprehensive review discusses the dualistic role of NRF2 in disease pathophysiology, covering its protective and/or destructive roles in autoimmune, respiratory, cardiovascular, and metabolic diseases, as well as diseases of the digestive system and cancer. Additionally, we also review the development of drugs that either activate or inhibit NRF2, discuss main barriers in translating NRF2-based therapies from bench to bedside, and consider the ways to monitor NRF2 activation in vivo.

BackgroundSince the publication of the original work in 2014, significant progress has been made in the characterization of genomic alterations that drive oncogenic addiction of nonsmall cell lung cancer (NSCLC) and how the immune system can leverage non-oncogenic pathways to modulate therapeutic outcomes. This update evaluates and validates the recent and emerging data for prognostic and predictive biomarkers with therapeutic targets in NSCLC.Data sourcesWe performed a literature search from January 2015 to October 2023 using the keywords non-small cell lung cancer, clinical practice guidelines, gene mutations, genomic assay, immune cancer therapy, circulating tumor DNA, predictive and prognostic biomarkers, and targeted therapies.Study selection and data extractionWe identified, reviewed, and evaluated relevant clinical trials, meta-analyses, seminal articles, and published clinical practice guidelines in the English language.Data synthesisRegulatory-approved targeted therapies include those somatic gene alterations of EGFR ("classic" mutations, exon 20 insertion, and rare EGFR mutations), ALK, ROS1, BRAF V600, RET, MET, NTRK, HER2, and KRAS G12C. Data for immunotherapy and circulating tumor DNA in next-generation sequencing are considered emerging, whereas the predictive role for PIK3CA gene mutation is insufficient.ConclusionsAdvances in sequencing and other genomic technologies have led to identifying novel oncogenic drivers, novel resistance mechanisms, and co-occurring mutations that characterize NSCLC, creating further therapeutic opportunities. The benefits associated with immunotherapy in the perioperative setting hold initial promise, with their long-term results awaiting.

KRAS inhibitors are revolutionizing the treatment of non-small cell lung cancer (NSCLC), but clinico-genomic determinants of treatment efficacy warrant continued exploration.

Patients with advanced KRASG12C-mutant NSCLC treated with adagrasib [KRYSTAL-1 (NCT03785249)] were included in the analysis. Pretreatment next-generation sequencing data were collected per protocol. HTG EdgeSeq Transcriptome Panel was used for gene expression profiling. Clinical endpoints included objective response, progression-free survival (PFS), and overall survival (OS). KRASG12C-mutant NSCLC cell lines and xenograft models were used for sensitivity analyses and combination drug screens.

KEAP1 MUT and STK11MUT were associated with shorter survival to adagrasib [KEAP1: PFS 4.1 vs. 9.9 months, HR 2.7, P < 0.01; OS 5.4 vs. 19.0 months, HR 3.6, P < 0.01; STK11: PFS 4.2 vs. 11.0 months, HR 2.2, P < 0.01; OS 9.8 months vs. not reached (NR), HR 2.6, P < 0.01]. KEAP1WT/STK11WT status identified adagrasib-treated patients with significantly longer PFS (16.9 months) and OS (NR). Preclinical analyses further validate the association between KEAP1 loss of function and adagrasib resistance. Adagrasib and mTOR inhibitor combinations produced higher treatment efficacy in NSCLC models harboring STK11 and KEAP1 co-mutations. NRF2HIGH signaling was associated with shorter survival to adagrasib (PFS: 4.2 vs. 8.4 months, HR 2.0, P = 0.02; OS: 6.5 vs. 19.0 months, HR 2.8, P < 0.01) even in patients with KEAP1WT NSCLC. KEAP1WT/STK11WT/NRF2LOW status identified patients-32%-with longer survival to adagrasib (PFS 12.0 vs. 4.2 months, HR 0.2, P < 0.01; OS NR vs. 8.0 months, HR 0.1, P < 0.01).

KEAP1, STK11, and NRF2 status define patients with KRASG12C-mutant NSCLC with markedly distinct outcomes to adagrasib. These results further support the use of genomic features-mutational and nonmutational-for the treatment selection of patients with KRASG12C-mutant NSCLC.

Kirsten rat sarcoma (KRAS) mutations are present in up to 25% of non-small-cell lung cancer (NSCLC). KRAS G12C is the most common type of mutation, representing approximately half of the cases in KRAS-mutant NSCLC. Mutations in KRAS activate the RAF-MEK-ERK pathway, leading to increased cell proliferation and survival. Recent advances in drug development have led to the approval of KRAS G12C inhibitors sotorasib and adagrasib. This review explores the emerging therapeutic strategies in KRAS G12C-mutant NSCLC, including dual checkpoint blockade and combinations with checkpoint inhibitors, with a focus on the setting of advanced disease.

Approximately 30 % non-small cell lung cancer (NSCLC) patients carry KRAS mutations in western countries. First-line chemotherapy combined with immunotherapy has been the standard therapeutic regimen for KRAS-mutant NSCLC patients. This population could also benefit from chemotherapy combined with anti-angiogenic therapy. However, few studies has reported on head-to-head efficacy comparisons between these two treatment strategies.

We selected stage IV KRAS-mutated NSCLC patients diagnosed from 2017 to 2022. Their clinical baseline characteristics, first-line treatment strategy, whether combined TP53 or STK11 mutation, PD-L1 expression level, etc. were evaluated. The correlation between these factors and progression-free survival (PFS) and overall survival (OS) were analyzed.

A total of 273 patients received first-line systematic therapy. The most common mutation was KRAS G12C (34.3 %). First-line chemotherapy combined with immunotherapy brought significant survival benefits (mPFS: 11.0 months vs. 4.0 months, P = 0.0003; mOS: 17.0 months vs. 9.0 months, P = 0.0002) compared with first-line chemotherapy combined with anti-angiogenic therapy. Among the 203 patients who received first-line chemotherapy combined with immunotherapy, PD-L1 positive NSCLC patients responded better than PD-L1 negative patients (mPFS: 11.0 months vs. 4.0 months, P = 0.0004; mOS: 21.0 months vs. 11.0 months, P = 0.0005). ECOG PS score of 0-1 (HR=0.201, P = 0.001) and first-line chemotherapy combined with immunotherapy (HR=0.333, P = 0.009) were independent predictors of OS.

Compared with first-line chemotherapy combined with anti-angiogenic therapy, first-line chemotherapy combined with immunotherapy has brought significant survival benefit to advanced KRAS mutant NSCLC patients, especially for PD-L1 positive patients.

In non-small cell lung cancer (NSCLC), the rapid advancement of predictive genetic testing of tumors by identifying specific pathogenic driver variants has significantly improved treatment guidance. However, immune checkpoint blockade (ICB) is typically administered to patients with tumors in the absence of such driver variants. Since only about 30% of patients will respond to ICB treatment, identifying novel genetic biomarkers of clinical response is crucial and will improve treatment decisions. This prospective clinical study aims to combine molecular biology, advanced bioinformatics and clinical data on response to treatment with ICB from a prospective cohort of NSCLC patients to identify single or combination of genetic variants in the tumor that can serve as predictive biomarkers of clinical response.

In this prospective bi-center clinical study, we performed next-generation sequencing (NGS) of 597 cancer-associated genes in a prospective cohort of 49 patients as the final cohort analyzed, with stage III or IV NSCLC, followed by establishment of an in-house developed bioinformatics-based molecular classification method that integrates, interprets and evaluates data from multiple databases and variant prediction tools. Overall survival (OS) and progression-free survival (PFS) were analyzed for selected candidate genes and variants identified using our novel methodology including molecular tools, databases and clinical information.

Our novel molecular interpretation and classification method identified high impact variants in frequently altered genes KRAS, LRP1B, and TP53. Analysis of these genes as single predictive biomarkers in ICB-treated patients revealed that the presence of likely pathogenic variants and variants of unclear significance in LRP1B was associated with improved OS (p = 0.041). Importantly, further analysis of variant combinations in the tumor showed that co-occurrence of KRAS and LRP1B variants significantly improved OS (p = 0.003) and merged PFS (p = 0.008). Notably, the triple combination of variants in KRAS, LRP1B, and TP53 positively impacted both OS (p = 0.026) and merged PFS (p = 0.003).

This study suggests that combination of the LRP1B and KRAS variants identified through our novel molecular classification scheme leads to better outcomes following ICB treatment in NSCLC. The addition of TP53 improves the outcome even further. To our knowledge, this is the first report indicating that harboring a combination of KRAS, LRP1B, and TP53 variants can significantly enhance the response to ICB, suggesting a novel predictive biomarker combination for NSCLC patients.

The Kirsten rat sarcoma viral oncogene homologue (KRAS) mutation is one of the most prevailing mutations in various tumors and is difficult to cure. Long-term proliferation in carcinogenesis is primarily initiated by oncogenic KRAS-downstream signaling. Recent research suggests that it also activates the autocrine effect and interplays the tumor microenvironment (TME). Here, we discuss the emerging research, including KRAS mutations to immune evasion in TME, which induce immunological modulation that promotes tumor development. This review gives an overview of the existing knowledge of the underlying connection between KRAS mutations and tumor immune modulation. It also addresses the mechanisms to reduce the effect of oncogenes on the immune system and recent advances in clinical trials for immunotherapy in KRAS-mutated cancers.

The efficacy and safety of sotorasib plus platinum doublet chemotherapy in KRAS G12C-mutated nonsquamous NSCLC (nonsq NSCLC) have been previously reported with a limited follow-up period.

SCARLET is a single-arm phase 2 study involving chemotherapy-naive patients with KRAS G12C-mutated nonsq NSCLC. The participants received 960 mg daily plus four cycles of carboplatin (area under the curve = 5)/pemetrexed 500 mg/m2, followed by sotorasib/pemetrexed until disease progression. The primary end point was the overall response rate (ORR) and the secondary end points were progression-free survival (PFS), overall survival, and safety. Using plasma samples, next-generation sequencing was performed at baseline, 3 weeks, and during disease progression (the Japan Registry of Clinical Trials number 2051210086).

Thirty patients were enrolled between October 2021 and July 2022 with a median follow-up of 14.8 months. ORR was 88.9% (80% confidence interval [CI]: 78.5%-94.8%, 95% CI: 70.8%-97.6%), median PFS was 6.6 months (95% CI: 5.3-16.7 mo), and median overall survival was 20.6 months (95% CI: 8.1 mo-not estimated). Among patients with programmed death-ligand 1 expression levels of 1% or higher and less than 1%, the ORRs were 82.3 and 100%, respectively, and the median PFS was 7.6 and 9.7 months, respectively. Using plasma samples, patients without KRAS G12C at baseline, without KRAS-related pathway co-alterations, or who cleared KRAS G12C at 3 weeks had better median PFS (16.7, 13.9, 8.7 mo, respectively). Tumor protein 53 mutations and EGFR and MET amplification were detected as acquired resistance.

In patients with KRAS G12C-mutated nonsq NSCLC, sotorasib plus carboplatin/pemetrexed reported favorable efficacy, particularly for patients with less than 1% programmed death-ligand 1, with manageable toxicity.

Cancer immunotherapy, alongside surgery, radiation therapy, and chemotherapy, has emerged as a key treatment modality. Immune checkpoint inhibitors (ICIs) represent a promising immunotherapy that plays a critical role in the management of various solid tumors. However, the limited efficacy of ICI monotherapy and the development of primary or secondary resistance to combination therapy remain a challenge. Consequently, identifying molecular markers for predicting ICI efficacy has become an area of active clinical research. Notably, the correlation between DNA damage repair (DDR) mechanisms and the effectiveness of ICI treatment has been established. This review outlines the two primary pathways of DDR, namely, the homologous recombination repair pathway and the mismatch repair pathway. The relationship between these key genes and ICIs has been discussed and the potential of these genes as molecular markers for predicting ICI efficacy summarized.

The clinical effectiveness of KRASG12C inhibitors (G12Ci) is limited both by intrinsic and acquired resistance, necessitating the development of combination approaches. Here, we identified targeting proximal receptor tyrosine kinase signaling using the SOS1 inhibitor (SOS1i) BI-3406 as a strategy to improve responses to G12Ci treatment. SOS1i enhanced the efficacy of G12Ci and limited rebound receptor tyrosine kinase/ERK signaling to overcome intrinsic/adaptive resistance, but this effect was modulated by SOS2 protein levels. G12Ci drug-tolerant persister (DTP) cells showed up to a 3-fold enrichment of tumor-initiating cells (TIC), suggestive of a sanctuary population of G12Ci-resistant cells. SOS1i resensitized DTPs to G12Ci and inhibited G12C-induced TIC enrichment. Co-mutation of the tumor suppressor KEAP1 limited the clinical effectiveness of G12Ci, and KEAP1 and STK11 deletion increased TIC frequency and accelerated the development of acquired resistance to G12Ci, consistent with clinical G12Ci resistance seen with these co-mutations. Treatment with SOS1i both delayed acquired G12Ci resistance and limited the total number of resistant colonies regardless of KEAP1 and STK11 mutational status. Together, these data suggest that targeting SOS1 could be an effective strategy to both enhance G12Ci efficacy and prevent G12Ci resistance regardless of co-mutations. Significance: The SOS1 inhibitor BI-3406 both inhibits intrinsic/adaptive resistance and targets drug tolerant persister cells to limit the development of acquired resistance to clinical KRASG12C inhibitors in lung adenocarcinoma cells.

The primary analysis (median follow-up 34.9 mo across all arms) of the phase 3 POSEIDON study revealed a statistically significant overall survival (OS) improvement with first-line tremelimumab plus durvalumab and chemotherapy (T+D+CT) versus CT in patients with EGFR and ALK wild-type metastatic NSCLC (mNSCLC). D+CT had a trend for OS improvement versus CT that did not reach statistical significance. This article reports prespecified OS analyses after long-term follow-up (median >5 y).

A total of 1013 patients were randomized (1:1:1) to T+D+CT, D+CT, or CT, stratified by tumor cell programmed cell death ligand-1 (PD-L1) expression (≥50% versus <50%), disease stage (IVA versus IVB), and tumor histologic type (squamous versus nonsquamous). Serious adverse events were collected during follow-up.

After a median follow-up of 63.4 months across all arms, T+D+CT had sustained OS benefit versus CT (hazard ratio [HR] = 0.76, 95% confidence interval [CI]: 0.64-0.89; 5-y OS: 15.7% versus 6.8%). OS improvement with D+CT versus CT (HR = 0.84, 95% CI: 0.72-1.00; 5-y OS: 13.0%) was consistent with the primary analysis. OS benefit with T+D+CT versus CT remained more pronounced in nonsquamous (HR = 0.69, 95% CI: 0.56-0.85) versus squamous (HR = 0.85, 95% CI: 0.65-1.10) mNSCLC. OS benefit with T+D+CT versus CT was still evident regardless of PD-L1 expression, including patients with PD-L1 tumor cell less than 1%, and remained evident in STK11-mutant (nonsquamous), KEAP1-mutant, and KRAS-mutant (nonsquamous) mNSCLC. No new safety signals were identified.

After a median follow-up of more than 5 years, T+D+CT had durable long-term OS benefit versus CT, supporting its use as first-line treatment in mNSCLC, including in patient subgroups with harder-to-treat disease.

Kristen rat sarcoma viral oncogene homolog (KRAS) mutations play a major role in the carcinogenesis of many types of solid tumors including non-small cell lung cancer (NSCLC). Among KRAS mutations, p.G12C single-nucleotide variant (KRASG12C) is the most frequently reported in NSCLC patients, with a prevalence of about 12-13 %. For many decades, KRAS mutations including KRASG12C were considered "undruggable" because of the lack of effective and well-tolerated selective therapies. Noteworthy, CodeBreaK100 and KRYSTAL-1 clinical trials have recently demonstrated that sotorasib and adagrasib, two novel selective KRASG12C inhibitors, have clinical activity with acceptable adverse-event profile for the treatment of advanced NSCLC patients with KRASG12C mutation. On the other hand, no selective therapies are approved for the treatment of advanced NSCLC patients with non-G12C KRAS mutations. As a result, these patients receive the same treatments as those without KRAS mutations. In this paper, we describe the role of KRAS mutations in NSCLC focusing on the clinical and molecular characteristics which potentially identify specific subtypes of NSCLC patients based on different KRAS mutations. We also provide an overview of the main clinical trials testing novel selective KRASG12C inhibitors as well as novel potential therapeutic strategies for NSCLC patients with non-G12C KRAS mutations.

Immune checkpoint inhibitors (ICIs) have changed the treatment mode of lung cancer, extending the survival time of patients unprecedentedly. Once patients respond to ICIs, the median duration of response is usually longer than that achieved with cytotoxic or targeted drugs. Unfortunately, there is still a large proportion of lung cancer patients do not respond to ICI. Effective biomarkers are crucial for identifying lung cancer patients who can benefit from them. The first predictive biomarker is programmed death-ligand 1 (PD-L1), but its predictive value is limited to specific populations. With the development of single-cell sequencing and spatial imaging technologies, as well as the use of deep learning and artificial intelligence, the identification of predictive biomarkers has been greatly expanded. In this review, we will dissect the biomarkers used to predict ICIs efficacy in lung cancer from the tumor-immune microenvironment and host perspectives, and describe cutting-edge technologies to further identify biomarkers.

Immune checkpoint inhibitors (ICIs) have become an established treatment option for patients with advanced non-small cell lung cancer (NSCLC). However, the efficacy of single-agent immunotherapy as well as in combination with chemotherapy seems to be dependent on the presence of molecular abnormalities in some genes-serine/threonine kinase 11 (STK11), Kelch-like ECH-associated protein 1 (KEAP1) and Kirsten rat sarcoma viral oncogene homolog (KRAS) among them. The KEAP1 gene is a critical regulator of the cellular response to oxidative stress and electrophilic stress, thus playing a pivotal role in maintaining cellular homeostasis. The STK11 gene encodes a serine/threonine kinase (STK11) involved the regulation of cell growth, polarity, motility, differentiation and cell metabolism. The STK11 gene mutations are often associated with an immunologically "cold" tumour microenvironment. The co-occurrence of STK11 or KEAP1 abnormalities with the KRAS mutation changes the composition of the tumour microenvironment as compared when presented alone. The current data, based on retrospective analyses of clinical trials, indicate that the co-existence of STK11 and KEAP1 genes mutations with the KRAS gene mutations have negative impact on the prognosis, regardless of treatment methods, in patients with advanced NSCLC. However, this group of patients should not be omitted because they constitute a significant percentage of advanced NSCLC patients. Immunotherapy focused on two ICIs [anti-programmed death 1 (PD-1)/anti-cytotoxic T-lymphocyte antigen 4 (CTLA-4)] combined with chemotherapy, may be more effective than immunotherapy or chemotherapy alone in this group of patients. Confirmation of this thesis can be found in the results of available clinical studies. Here, we summarize the theoretical justification as well as the results of clinical trials for combining immunotherapy in patients with STK11-, KEAP1- and KRAS-mutated genes. There is certainly a need to create a prospective clinical trial to assess the effectiveness of combined immunotherapy in the discussed group of patients.

In esophageal squamous cell carcinoma, genetic activation of NRF2 increases resistance to chemotherapy and radiotherapy, which results in a significantly worse prognosis for patients. Therefore NRF2-activated cancers create an urgent clinical need to identify new therapeutic options. In this context, we previously identified the geldanamycin family of HSP90 inhibitors, which includes 17DMAG, to be synthetic lethal with NRF2 activity. As the first-generation of geldanamycin-derivative drugs were withdrawn from clinical trials due to hepatotoxicity, we designed second-generation compounds with C19-substituted structures in order to inhibit glutathione conjugation-mediated hepatotoxicity. In this study, using a variety of in vitro and in vivo cancer models, we found that C19-substituted 17DMAG compounds maintain their enhanced toxicity profile and synthetic lethal interaction with NRF2-NQO1-activated cancer cells. Importantly, using a xenograft mouse tumor model, we found that C19-substituted 17DMAG displayed significant anticancer efficacy against NRF2-NQO1-activated cancer cells without causing hepatotoxicity. These results clearly demonstrate the improved clinical potential for this new class of HSP90 inhibitor anticancer drugs, and suggest that patients with NRF2-NQO1-activated esophageal carcinoma may benefit from this novel therapeutic approach.

Lung cancer associated with cystic airspaces (LCCA) is a rare subtype of non-small-cell lung cancer (NSCLC), accounting for 1-4% of cases. LCCA is characterized by the presence of cystic airspaces within or at the periphery of the tumor on imaging. LCCA poses significant clinical challenges due to its high risk of misdiagnosis or missed diagnosis, often leading to a worse prognosis compared to other forms of lung cancer. While previous studies have identified correlations between the pathological features and imaging characteristics of LCCA, research on its associated driver gene mutations and responses to chemotherapy and immunotherapy remains limited. Furthermore, the development of an appropriate T-staging system is necessary to improve prognostic outcomes. This review provides an overview of the current research on the definition, imaging classification, pathological and molecular mechanisms, and prognosis of LCCA, aiming to provide a reference for clinical decision-making.

In non-small cell lung cancer (NSCLC), Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations are found in up to 30% of all cases, with the most prevalent mutations occurring in codons 12 and 13. The development of KRAS-targeted drugs like sotorasib and adagrasib has generated significant excitement in the clinical arena, offering new therapeutic options. Their potential for combination with other treatments broadens the scope for clinical exploration. Acquired resistance to KRAS exon 2 p.G12C inhibitors is a significant challenge, with several reported mechanisms. In this scenario, combination therapy strategies that include targeting Src Homology Region 2 Domain-Containing Phosphatase-2 (SHP2), Son of Sevenless Homolog 1 (SOS1), or downstream effectors of KRAS exon 2 p.G12C are showing promise in overcoming such resistance. However, the efficacy of immune checkpoint inhibitors in this context still requires comprehensive evaluation. The response to anti-Programmed Cell Death Protein 1/Programmed Cell Death Protein 1 Ligand (anti-PD-1/PD-L1) drugs in NSCLC may be significantly influenced by co-occurring mutations, underscoring the need for a personalized approach to treatment based on the specific genetic profile of each tumor.

Lung cancer remains a significant health challenge, characterized by aberrant tissue growth within the pulmonary system. Early carcinogenic events often involve genomic instability and the emergence of a mutator phenotype. In this study, we aimed to explore the mutator phenotype in 89 patients diagnosed with non-small-cell lung cancer (NSCLC). RNA isolation from formalin-fixed paraffin-embedded (FFPE) tissue samples was performed using the Promega ReliaPrep RNA Miniprep System, facilitating gene amplification relevant to cancer through the Archer® FusionPlexComprehensiveThyroid and Lung (CTL) kit. Next-generation sequencing (NGS) on the Illumina NextSeq platform enabled comprehensive analysis of target areas. Utilizing Archer Analysis software, secondary analyses involving data cleansing, alignment, and variant/fusion identification were executed against the human reference genome hg19 (GRCh37). Expression patterns were visualized using HeatMap graphics. Our findings revealed a notable presence of KRAS gene mutations in approximately 20% of NSCLC patients. Among these mutations, the G12C variant was predominant at 50%, followed by G12V and G12D variants at 11.2% each. Notably, patients harboring the G12C variant responded favorably to sotorasib medication. These results underscore the importance of mutational profiling and targeted therapeutic approaches in managing NSCLC, particularly highlighting the promising efficacy of sotorasib in G12C-mutated cases.

For patients with advanced non-small-cell lung cancer (NSCLC), dual immune checkpoint blockade (ICB) with CTLA4 inhibitors and PD-1 or PD-L1 inhibitors (hereafter, PD-(L)1 inhibitors) is associated with higher rates of anti-tumour activity and immune-related toxicities, when compared with treatment with PD-(L)1 inhibitors alone. However, there are currently no validated biomarkers to identify which patients will benefit from dual ICB1,2. Here we show that patients with NSCLC who have mutations in the STK11 and/or KEAP1 tumour suppressor genes derived clinical benefit from dual ICB with the PD-L1 inhibitor durvalumab and the CTLA4 inhibitor tremelimumab, but not from durvalumab alone, when added to chemotherapy in the randomized phase III POSEIDON trial3. Unbiased genetic screens identified loss of both of these tumour suppressor genes as independent drivers of resistance to PD-(L)1 inhibition, and showed that loss of Keap1 was the strongest genomic predictor of dual ICB efficacy-a finding that was confirmed in several mouse models of Kras-driven NSCLC. In both mouse models and patients, KEAP1 and STK11 alterations were associated with an adverse tumour microenvironment, which was characterized by a preponderance of suppressive myeloid cells and the depletion of CD8+ cytotoxic T cells, but relative sparing of CD4+ effector subsets. Dual ICB potently engaged CD4+ effector cells and reprogrammed the tumour myeloid cell compartment towards inducible nitric oxide synthase (iNOS)-expressing tumoricidal phenotypes that-together with CD4+ and CD8+ T cells-contributed to anti-tumour efficacy. These data support the use of chemo-immunotherapy with dual ICB to mitigate resistance to PD-(L)1 inhibition in patients with NSCLC who have STK11 and/or KEAP1 alterations.

The KRAS mutation is highly prevalent in NSCLC and is associated with poor efficacy of immunotherapy. Nevertheless, the impact of KRAS mutation, mutation subtypes, and co-mutations on the effectiveness of immunotherapy remains uncertain. This study aimed to assess the influence of the KRAS mutation on the effectiveness of immunotherapy in NSCLC, specifically examining different subtypes of KRAS mutations and co-mutations.

We performed an extensive search of multiple databases, covering the period from January 1, 2000, to December 5, 2023. A total of 24 articles met our inclusion criteria and were included in this study. A comparative analysis assessed the influence of different subgroups, including KRAS mutation, KRAS wild-type, KRAS G12C mutation, KRAS G12D mutation, and KRAS with co-mutations in NSCLC with immunotherapy. The study outcomes include HR, with corresponding 95% CI and P-values for OS and PFS using Review Manager 5.4 software for the meta-analysis.

The KRAS mutation appears to have a more beneficial impact on OS (HR 0.54 [95% CI: 0.41-0.71]; P < 0.00001) and PFS (HR 0.63 [95% CI: 0.53-0.76]; P < 0.00001) in NSCLC patients receiving immunotherapy compared to those without immunotherapy. The presence of KRASG12C mutation has been found to have a positive impact on PFS (HR 0.39 [95% CI: 0.25-0.62]; P < 0.0001) in NSCLC patients who undergo immunotherapy, compared to those who did not receive immunotherapy. KRAS non-G12D mutation is considerably associated with longer OS (HR 1.52 [95% CI: 1.10-2.10]; P = 0.01). The clinical benefit in OS between patients without STK11 co-mutation and those who have KRAS mutation with STK11 is significant (HR 1.46 [95% CI: 1.10-1.93]; P = 0.008). Comparing the impact of OS patients without KEAP1/NFE2L2 mutation to those with KRAS and KEAP1/NFE2L2 co-mutations showed a significant impact (HR 1.89 [95% CI: 1.33-2.68]; P = 0.0004).

The KRAS mutation and KRAS G12C mutation confer benefits that impact OS and PFS in NSCLC patients treated with immunotherapy. However, the KRAS G12D mutation negatively impacts OS compared to the KRAS non-G12D mutation. Furthermore, KRAS co-mutations involving STK11 and KEAP1/NFE2L2 are associated with a negative impact on the efficacy of immunotherapy in NSCLC patients.