Early diagnostic strategies for colorectal cancer.

At present, cancer is still an important factor threatening human health. Colorectal cancer (CRC) is one of the top three most common cancers worldwide and one of the deadliest malignancies in humans. The latest data showed that CRC incidence and mortality rank third and second, respectively, among global malignancies. Early and accurate diagnosis is crucial to reduce the morbidity, mortality and improve survival of patients with CRC, but the current early diagnostic methods have limitations. The effectiveness and compliance of diagnostic methods have a certain impact on whether people choose screening. In this editorial, we explore strategies for the early diagnosis of CRC, including stool-based, blood-based, direct visualization, and imaging examinations.

Recent advances in ctDNA detection using electrochemical biosensor for cancer.

In the quest for early cancer diagnosis, early identification and treatment are paramount. Recently, ctDNA detection has emerged as a viable avenue for early screening of cancer. The examination of ctDNA in fluid biopsies has gained substantial attention in tumor diagnosis and therapy. Both the scientific community and industry are actively exploring this field. However, developing cost-effective, portable, and real-time ctDNA measurement methods using conventional gene detection equipment poses a significant challenge. This challenge has led to the exploration of alternative approaches. Electrochemical biosensors, distinguished by their heightened sensitivity, remarkable specificity, affordability, and excellent portability, have emerged as a promising avenue for ctDNA detection. This review is dedicated to the specific focus on ctDNA detection, highlighting recent advancements in this evolving detection technology. We aimed to reference previous studies related to ctDNA-targeted cancer detection using electrochemical biosensors to advocate the utilization of electrochemical biosensors in healthcare diagnostics. Further research is imperative for the effective integration of ctDNA analysis into point-of-care cancer testing. Innovative approaches utilizing multiple markers need to be explored to advance this technology and make substantial contributions to societal well-being.

Circulating tumor DNA predicts recurrence and survival in patients with resectable gastric and gastroesophageal junction cancer.

BACKGROUND: Gastric and gastroesophageal junction (GEJ) cancer represents a significant global health challenge, with high recurrence rates and poor survival outcomes. This study investigates circulating tumor DNA (ctDNA) as a biomarker for assessing recurrence risk in patients with resectable gastric and GEJ adenocarcinomas (AC). METHODS: Patients with resectable gastric and GEJ AC, undergoing perioperative chemotherapy and surgery, were prospectively enrolled. Serial plasma samples were collected at baseline, after one cycle of chemotherapy, after preoperative chemotherapy, and after surgery. ctDNA was assessed by a ddPCR test (TriMeth), which targets the gastrointestinal cancer-specific methylation patterns of the genes C9orf50, KCNQ5, and CLIP4. RESULTS: ctDNA analysis was performed on 229 plasma samples from 86 patients. At baseline, ctDNA was detected in 56% of patients, which decreased to 37% following one cycle of chemotherapy, 25% after preoperative chemotherapy and 15% after surgical resection. The presence of ctDNA after one cycle of chemotherapy was associated with reduced recurrence-free survival (RFS) (HR = 2.54, 95% confidence interval (CI) 1.33-4.85, p = 0.005) and overall survival (OS) (HR = 2.23, 95% CI 1.07-4.62, p = 0.032). Similarly, ctDNA after surgery was associated with significantly shorter RFS (HR = 6.22, 95% CI 2.39-16.2, p < 0.001) and OS (HR = 6.37, 95% CI 2.10-19.3, p = 0.001). Multivariable regression analysis confirmed ctDNA after surgery as an independent prognostic factor (p < 0.001). CONCLUSION: ctDNA analysis has the potential to identify patients at elevated risk of recurrence, thus providing personalized treatment strategies for patients with resectable gastric and GEJ cancer. Further validation in larger cohorts and ctDNA-guided interventions are needed for future clinical use.

Plasma EGFR mutation ctDNA dynamics in patients with advanced EGFR-mutated NSCLC treated with Icotinib: phase 2 multicenter trial result.

Plasma epidermal growth factor receptor mutation (EGFRm) circulating tumor DNA (ctDNA) dynamics exhibit promise in predicting outcomes in patients with EGFRm-advanced non-small cell lung cancer (NSCLC). However, there remains limited trial-level data on integrating ctDNA monitoring into clinical practice. We performed a prospective, multicenter trial to investigate the relationship between EGFRm ctDNA dynamic changes and clinical outcomes in NSCLC patients with EGFRm. Ninety-eight treatment-naive EGFRm-advanced NSCLC patients were recruited and administered icotinib until disease progression. Plasma samples were collected at baseline and four weeks after icotinib administration. ctDNA was analyzed using a droplet-digital polymerase chain reaction. At baseline, 71.4% of patients had detectable EGFRm ctDNA. Among them, 45.9% of patients' ctDNA became undetectable within four weeks of treatment. These patients demonstrated significantly longer progression-free survival (PFS) and overall survival (OS) than those with detectable ctDNA after treatment (P = 0.004 and < 0.001, respectively) and were comparable to those with undetectable ctDNA at both baseline and four weeks. ctDNA detectable at four weeks emerged as a poor independent risk factor for PFS and OS. Patients whose ctDNA became undetectable after treatment had outcomes similar to those with initially undetectable ctDNA, underscoring the predictive value of ctDNA dynamics in treatment efficacy.Registry and the Registration No. of the study/trial: ChiCTR-DDD-17013131. Date of registration: 2017-10-27.

Analytical and clinical validation of a NGS panel in detecting targetable variants from ctDNA of metastatic NSCLC patients.

BACKGROUND: Circulating tumor DNA (ctDNA) has emerged as a promising biomarker for noninvasive cancer diagnostics, particularly in the context of metastatic non-small-cell lung cancer (NSCLC). Detecting targetable variants through ctDNA analysis offers the potential to guide treatment decisions, especially in cases where tissue samples are insufficient or unavailable. METHOD: In this study, we developed and validated a next-generation sequencing panel targeting 101 cancer-related genes (101-test) to detect somatic variants in ctDNA from a large cohort of Chinese patients with metastatic NSCLC. The performance of the 101-test was assessed by evaluating its limit of detection (LOD), accuracy, and precision in identifying molecular variants. Additionally, the concordance between ctDNA and tissue samples for detecting targetable variants was analyzed in 904 patients. RESULTS: The 101-test demonstrated a LOD of 0.38% for single-nucleotide variants (SNVs), 0.33% for insertions and deletions (InDels), and 0.33% for fusions. Sensitivity was 98.3% for SNVs, 100% for InDels, and 100% for fusions when compared to digital droplet PCR (ddPCR)/breakpoint PCR reference methods. The by-variant sensitivity for somatic variants was 97.5%, with a specificity of 99.9% between tumor-only and tumor-normal analyses. In a real-world cohort, the concordance between ctDNA and tissue samples for identifying targetable variants was 72.2% (457/633). Notably, the EGFR S768I variant, recently recommended by clinical guidelines, achieved an 80% concordance rate. Furthermore, 4.3% of patients (27/633) with targetable variants were identified exclusively through ctDNA testing. CONCLUSION: The ctDNA-based 101-test is a highly sensitive and specific tool for detecting targetable variants in metastatic NSCLC, particularly in cases with insufficient tissue samples. The findings support the use of ctDNA testing as a reliable and complementary method to traditional tissue-based molecular analysis, enhancing the precision of treatment strategies for NSCLC patients.

Liquid biopsy for early cancer detection: technological revolutions and clinical dilemma.

INTRODUCTION: Liquid biopsy is an innovative advancement in oncology, offering a noninvasive method for early cancer detection and monitoring by analyzing circulating tumor cells, DNA, RNA, and other biomarkers in bodily fluids. This technique has the potential to revolutionize precision oncology by providing real-time analysis of tumor dynamics, enabling early detection, monitoring treatment responses, and tailoring personalized therapies based on the molecular profiles of individual patients. AREAS COVERED: In this review, the authors discuss current methodologies, technological challenges, and clinical applications of liquid biopsy. This includes advancements in detecting minimal residual disease, tracking tumor evolution, and combining liquid biopsy with other diagnostic modalities for precision oncology. Key areas explored are the sensitivity, specificity, and integration of multi-omics, AI, ML, and LLM technologies. EXPERT OPINION: Liquid biopsy holds great potential to revolutionize cancer care through early detection and personalized treatment strategies. However, its success depends on overcoming technological and clinical hurdles, such as ensuring high sensitivity and specificity, interpreting results amidst tumor heterogeneity, and making tests accessible and affordable. Continued innovation and collaboration are crucial to fully realize the potential of liquid biopsy in improving early cancer detection, treatment, and monitoring.

Circulating tumor DNA predicts venous thromboembolism in patients with cancers.

INTRODUCTION: Despite rapid advances in liquid biopsy for circulating tumor DNA (ctDNA), its prognostic value for venous thromboembolism (VTE) in patients with cancer is underexplored, particularly in underserved and minoritized populations. METHODS: We analyzed data from 1,038 cancer patients who underwent ctDNA measurement for oncologic care at a large safety-net hospital system in the US. We investigated the association between ctDNA and VTE after adjusting for cancer type, stage, treatment, and time from initial diagnosis using Fine-Gray models. We further assessed the discrimination of the genetic, clinical-only, and combined models using the area under the time-dependent receiver operating characteristic curve (AUC). RESULTS: The presence of pathogenic ctDNA was independently associated with VTE after adjusting for clinical variables. Independent of tumor type, the number of pathogenic ctDNA mutations was predictive of future VTE risk (adjusted subdistribution hazard ratio 2.75, 1.94, and 1.38 for ≥3, 2, and 1 pathogenic mutation, respectively, compared to none; p<0.0001). The association was primarily driven by mutations in KRAS, PTEN, CDKN2A, NF1, and EGFR genes. Compared to the clinical-only model (AUC 0.71, 95% CI 0.64-0.76), the combined clinical and ctDNA model had a numerically higher time-dependent AUC (AUC 0.74, 95% CI 0.67-0.80). CONCLUSIONS: CtDNA testing may serve as an adjunctive tool to clinical risk assessment models in cancer patients to improve personalized VTE risk assessment and management.

Biomarkers for Immunotherapy Efficacy in Advanced Hepatocellular Carcinoma: A Comprehensive Review.

Hepatocellular carcinoma (HCC), the most common primary liver malignancy and the sixth most common cancer globally, remains fatal for many patients with inappropriate responses to treatment. Recent advancements in immunotherapy have transformed the treatment landscape for advanced HCC. However, variability in patient responses to immunotherapy highlights the need for biomarkers that can predict treatment outcomes. This manuscript comprehensively reviews the evolving role of biomarkers in immunotherapy efficacy, spanning from blood-derived indicators-alpha-fetoprotein, inflammatory markers, cytokines, circulating tumor cells, and their DNA-to tissue-derived indicators-programmed cell death ligand 1 expression, tumor mutational burden, microsatellite instability, and tumor-infiltrating lymphocytes. The current body of evidence suggests that these biomarkers hold promise for improving patient selection and predicting immunotherapy outcomes. Each biomarker offers unique insights into disease biology and the immune landscape of HCC, potentially enhancing the precision of treatment strategies. However, challenges such as methodological variability, high costs, inconsistent findings, and the need for large-scale validation in well-powered two-arm trial studies persist, making them currently unsuitable for integration into standard care. Addressing these challenges through standardized techniques and implementation of further studies will be critical for the future incorporation of these biomarkers into clinical practice for advanced HCC.

Feasibility of Circulating Tumor DNA Detection in the Cerebrospinal Fluid of Patients With Central Nervous System Involvement in Large B-Cell Lymphoma.

We explored the utility of cerebrospinal fluid (CSF) circulating tumor DNA (ctDNA) sequencing as a noninvasive diagnostic tool for detecting central nervous system (CNS) involvement in patients with diffuse large B-cell lymphoma (DLBCL). Secondary CNS involvement in DLBCL, although rare (~5% of cases), presents diagnostic and prognostic challenges during systemic disease progression or relapse. Effective treatment is impeded by the blood-brain barrier. This was a prospective cohort study (Samsung Lymphoma Cohort Study III) involving 17 patients with confirmed CNS involvement. High-throughput sequencing was conducted using targeted gene panels designed to detect low-frequency variants and copy number alterations pertinent to lymphomas in ctDNA extracted from archived CSF samples. Despite challenges such as low DNA concentrations affecting library construction, the overall variant detection rate was 76%. Detected variants included those in genes commonly implicated in CNS lymphoma, such as MYD88. The study highlights the potential of CSF ctDNA sequencing to identify CNS involvement in DLBCL, providing a promising alternative to more invasive diagnostic methods such as brain biopsy, which are not always feasible. Further validation is necessary to establish the clinical utility of this method, which could significantly enhance the management and outcomes of DLBCL patients with suspected CNS involvement.

Corrigendum: Biomarkers (mRNAs and non-coding RNAs) for the diagnosis and prognosis of colorectal cancer - from the body fluid to tissue level.

[This corrects the article DOI: 10.3389/fonc.2021.632834.].

The Unholy Grail of cancer screening: or is it just about the Benjamins?

The biotechnology company Grail developed a non-invasive blood test (Galleri test) which is claimed to detect 50 types of cancer at early and potentially curable stages. The initially promising results from prospective studies, and the anticipated financial success of Grail led the sequencing giant Illumina to purchase Grail for $8 billion (2021). Following this event, Grail collaborated with the UK National Health System to further clarify the test's capability, in a 3-year prospective trial, along with the standard of care. At the end of the first year, UK-NHS announced that they will suspend the trial due to unsatisfactory clinical performance and until they analyze the data for the first year (which already enrolled 140,000 participants). Legal and financial issues between the interested parties are currently in flux. We previously expressed concerns about the sensitivity and specificity of the Galleri test. In this opinion paper, we revisit the hyped technology, and we provide new suggestions on the use of this test.

Advances in blood DNA methylation-based assay for colorectal cancer early detection: a systematic updated review.

Aim: A systematic review was conducted to summarize the methylated circulating tumor DNA (ctDNA) markers reported over the last decade for early detection of colorectal cancer (CRC) and to identify the main technical challenges that are impeding their clinical implementation. Background: CRC is a major cause of cancer deaths worldwide, but early detection is key for successful treatment. Non-invasive methods such as methylated ctDNA testing show promise for improving detection and monitoring of CRC. Methods: A comprehensive search was performed using Web of Science, PubMed, and Scopus up to December 30, 2023, limited to articles published in the last 10 years (after 2012), while including advanced adenoma/stage 0 or stage I/II samples in biomarker validation. Results: After identifying 694 articles, removing duplicates and screening titles, abstracts, and full texts, a total of 62 articles were found to meet the inclusion criteria. Among the single biomarkers, MYO1-G, SEPT9, SDC2, and JAM3 revealed the highest sensitivity for polyps and stage I/II CRC. For multi-biomarkers with suitable sensitivity, combinations of SFRP1, SFRP2, SDC2, PRIMA1, or ALX4, BMP3, NPTX2, RARB, SDC2, SEPT9, VIM or ZFHX4, ZNF334, ELOVL2, UNC5C, LOC146880, SFMBT2, GFRA1 were identified for polyps and stage I/II CRC. Conclusion: Enhancing sensitivity and specificity of molecular screening methods is crucial for improving CRC detection. Identifying a select few valuable biomarkers is key to reducing costs, despite challenges posed by low ctDNA levels in plasma, particularly in early-stage cancers.

Detection of circulating tumor DNA by tumor-informed whole-genome sequencing enables prediction of recurrence in stage III colorectal cancer patients.

INTRODUCTION: Circulating tumor (ctDNA) can be used to detect residual disease after cancer treatment. Detecting low-level ctDNA is challenging, due to the limited number of recoverable ctDNA fragments at any target loci. In response, we applied tumor-informed whole-genome sequencing (WGS), leveraging thousands of mutations for ctDNA detection. METHODS: Performance was evaluated in serial plasma samples (n = 1283) from 144 stage III colorectal cancer patients. Tumor/normal WGS was used to establish a patient-specific mutational fingerprint, which was searched for in 20x WGS plasma profiles. For reproducibility, paired aliquots of 172 plasma samples were analyzed in two independent laboratories. De novo variant calling was performed for serial plasma samples with a ctDNA level > 10 % (n = 17) to explore genomic evolution. RESULTS: WGS-based ctDNA detection was prognostic of recurrence: post-operation (Hazard ratio [HR] 6.75, 95 %CI 3.18-14.3, p < 0.001), post-adjuvant chemotherapy (HR 28.9, 95 %CI 10.1-82.8; p < 0.001), and during surveillance (HR 22.8, 95 %CI 13.7-37.9, p < 0.0001). The 3-year cumulative incidence of ctDNA detection in recurrence patients was 95 %. ctDNA was detected a median of 8.7 months before radiological recurrence. The independently analyzed plasma aliquots showed excellent agreement (Cohens Kappa=0.9, r = 0.99). Genomic characterization of serial plasma revealed significant evolution in mutations and copy number alterations, and the timing of mutational processes, such as 5-fluorouracil-induced mutations. CONCLUSION: Our study supports the use of WGS for sensitive ctDNA detection and demonstrates that post-treatment ctDNA detection is highly prognostic of recurrence. Furthermore, plasma WGS can identify genomic differences distinguishing the primary tumor and relapsing metastasis, and monitor treatment-induced genomic changes.

Prediction of undetectable circulating tumor DNA by comprehensive genomic profiling assay in metastatic prostate cancer: the SCRUM-Japan MONSTAR SCREEN project.

BACKGROUND: Undetectable circulating tumor DNA (ctDNA) is an obstacle to performing comprehensive genomic profiling in daily practice to identify genomic alterations. We investigated the associations between clinicopathological factors and undetectable ctDNA using a commercially available comprehensive genomic profiling assay in metastatic prostate cancer. PATIENTS AND METHODS: Patients treated with systemic treatment for metastatic prostate cancer were included. ctDNA was analyzed by FoundationOne®Liquid CDx at enrollment. The associations between clinicopathological characteristics and ctDNA detection were analyzed. RESULTS: The number of bone metastasis was associated with ctDNA detection (odds ratio [95% confidence interval], 13.6 [1.71-108], P = 0.014). An algorithm predicting ctDNA detection using clinicopathological parameters was created. If ≥ 4 bone metastases were observed, ctDNA detection was estimated to be 98.9%. Among the patients with < 4 bone metastases, if two or three features among ISUP grade group 5, PSA level ≥ 10 ng/ml, and castration resistance were present, the ctDNA detection rate was 96.7% while the ctDNA detection rate was 86.3% if no or only one feature was present. CONCLUSIONS: An algorithm created in this study is helpful in determining when to undertake comprehensive genomic profiling assay using blood.

Circulating Tumor DNA in Patients with Desmoid Fibromatosis during Active Surveillance.

BACKGROUND: Sporadic desmoid fibromatosis (DF) is a rare locally aggressive tumor characterized by mutation in exon 3 of CTNNB1 (T41A, S45F, and S45P). Standard of care is active surveillance (AS), but 30% require treatment. DF clinical course is unpredictable and identification of prognostic markers is needed to tailor strategy. In this prospective study, we investigated the consistency between mutation detected in tumor biopsies with that detected in plasma by digital droplet PCR (ddPCR) and the association between circulating tumor DNA (ctDNA) abundancy with clinical outcome. PATIENTS AND METHODS: A total of 56 patients and 10 healthy donors were included. CTNNB1 mutation status of DF biopsies was determined by Sanger and in case of WT CTNNB1 with NGS. In matched plasma samples at enrollment and during AS at specific timepoints, we evaluated cfDNA quantity and ctDNA. RESULTS: ctDNA levels were measured in 46 patients with CTNNB1 mutation. Detection rate for T41A, S45F and S45P was 68%, 42% and 100%, respectively. S45P variant has been detected in all patients with S45P mutation. Longitudinal assessment of ctDNA during AS in nine patients (four with regression and five with progression as first event according to RECIST) showed a concordance between the event and ctDNA level change in six out of nine patients tested (4/5 with progression and 2/4 with regression). CONCLUSIONS: Results of ctDNA analysis support its potential clinical implementation as diagnostic tool in specific clinical scenarios where biopsy can be challenging. A prospective clinical trial needs to be performed to evaluate the potential role of ctDNA as predictive biomarker.

Biomarkers for diagnosis and therapeutic options in hepatocellular carcinoma.

Liver cancer is a global health challenge, causing a significant social-economic burden. Hepatocellular carcinoma (HCC) is the predominant type of primary liver cancer, which is highly heterogeneous in terms of molecular and cellular signatures. Early-stage or small tumors are typically treated with surgery or ablation. Currently, chemotherapies and immunotherapies are the best treatments for unresectable tumors or advanced HCC. However, drug response and acquired resistance are not predictable with the existing systematic guidelines regarding mutation patterns and molecular biomarkers, resulting in sub-optimal treatment outcomes for many patients with atypical molecular profiles. With advanced technological platforms, valuable information such as tumor genetic alterations, epigenetic data, and tumor microenvironments can be obtained from liquid biopsy. The inter- and intra-tumoral heterogeneity of HCC are illustrated, and these collective data provide solid evidence in the decision-making process of treatment regimens. This article reviews the current understanding of HCC detection methods and aims to update the development of HCC surveillance using liquid biopsy. Recent critical findings on the molecular basis, epigenetic profiles, circulating tumor cells, circulating DNAs, and omics studies are elaborated for HCC diagnosis. Besides, biomarkers related to the choice of therapeutic options are discussed. Some notable recent clinical trials working on targeted therapies are also highlighted. Insights are provided to translate the knowledge into potential biomarkers for detection and diagnosis, prognosis, treatment response, and drug resistance indicators in clinical practice.

Genomic-Based Early Detection Screening: A Literature Review of Prospective Trials and Emerging Strategies for Gastrointestinal Cancers.

Numerous genomic-based early detection screening tests are being developed. These tests have the potential to revolutionize current single-organ screening paradigms, especially in gastrointestinal cancers. In this review, we underscore the performance of these genomic-based early detection tests based on prospective clinical trials. Moreover, we discuss a professional advancement for gastroenterologists in the diagnostic assessment of individuals who are cancer signal positive.

Potential value of detection of minimal residual disease in colorectal cancer following radical resection.

Although there has been significant advancement in the identification and management of colorectal cancer (CRC) in recent years, there is still room for improvement in the current standard treatment regimen. One area of concern is the lack of reliable tumor markers to predict treatment efficacy and guide tailored care. Due to its dynamic, effective, and non-invasive benefits over tissue biopsy, the detection of minimal or molecular residual lesions (MRD) based on circulating tumor DNA (ctDNA) is beneficial to the clinical development of drugs for patients with CRC after radical treatment, as well as for continuous monitoring of tumor recurrence and malignancy molecular gene evolution. The detection of ctDNA can currently be used to guide individual postoperative auxiliary treatment decisions (upgrade or downgrade treatment) in CRC, stratify the risk of clinical recurrence more precisely, and predict the risk of recurrence in advance of imaging examination, according to a large number of observational or prospective clinical studies. With increasing clarity comes the possibility of selecting a regimen of treatment based on postoperative ctDNA, which also improves the accuracy of clinical recurrence risk assessment for CRC. Therefore, it is anticipated that the identification of ctDNA would alter the current framework for dealing with CRC and lead to individualized, stratified precision therapy; however, additional confirmation will require subsequent high-quality, prospective, large-scale randomized controlled studies. This article will provide an overview of the definition and clinical significance of MRD, the primary indications and technological challenges for MRD detection, along with the advancement in clinical research about ctDNA detection following radical resection of the CRC.

Renal cell carcinoma: entering the age of biomarkers.

INTRODUCTION: Renal cell carcinoma is as the most prevalent form of kidney cancer, with the clear cell subtype comprising approximately 75% of cases. The identification of predictive and prognostic biomarkers has emerged as a crucial area of research within the field. Despite advancements in treatment, metastatic renal cell carcinoma presents formidable challenges, with survival rates heavily dependent upon the optimal choice of treatment. MATERIALS AND METHODS: This review summarizes the current literature regarding the prognostic and predictive value of biomarkers in patients with renal cell carcinoma. We conducted a comprehensive literature search to identify studies that reference biomarkers of interest in this domain. We selected studies based on their relevance, publication date, and the quality of the research. Data from these selected papers were compiled and analyzed to provide an overview of the current understanding and advancements in the field. The findings were then synthesized into a concise discussion highlighting the state of biomarker research in renal cell carcinoma today. RESULTS AND CONCLUSIONS: While various nucleic acid and protein biomarkers have shown promise in other malignancies, their application in renal cell carcinoma remains limited by the lack of validated predictors. This review aims to highlight the pressing need for robust predictive and prognostic biomarkers in renal cell carcinoma to guide clinicians in tailoring optimal therapeutic strategies. The discussion encompasses the limitations of existing markers and underscores the significance of the most recent advancements within the field. Despite these strides, the clinical application of renal cell carcinoma biomarkers requires further study and validation.

Circulating tumor DNA-based stratification strategy for chemotherapy plus PD-1 inhibitor in advanced non-small-cell lung cancer.

Stratification strategies for chemotherapy plus PD-1 inhibitors in advanced non-small-cell lung cancer (NSCLC) are critically demanded. We performed high-throughput panel-based deep next-generation sequencing and low-pass whole genome sequencing on prospectively collected circulating tumor DNA (ctDNA) specimens from 460 patients in the phase 3 CHOICE-01 study at different time points. We identified predictive markers for chemotherapy plus PD-1 inhibitor, including ctDNA status and genomic features such as blood-based tumor mutational burden, intratumor heterogeneity, and chromosomal instability. Furthermore, we established an integrated ctDNA-based stratification strategy, blood-based genomic immune subtypes (bGIS) scheme, to distinguish patients who benefit from the addition of PD-1 inhibitor to first-line chemotherapy. Moreover, we demonstrated potential applications for the dynamic monitoring of ctDNA. Overall, we proposed a potential therapeutic algorithm based on the ctDNA-based stratification strategy, shedding light on the individualized management of immune-chemotherapies for patients with advanced NSCLC.