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Cancer is a complex genetic disease that develops from the accumulation of genomic alterations in which germline variations predispose individuals to cancer and somatic alterations initiate and trigger the progression of cancer. For the past 2 decades, genomic research has advanced remarkably, evolving from single‐gene to whole‐genome screening by using genome‐wide association study and next‐generation sequencing that contributes to big genomic data. International collaborative efforts have contributed to curating these data to identify clinically significant alterations that could be used in clinical settings. Focusing on breast cancer, the present review summarizes the identification of genomic alterations with high‐throughput screening as well as the use of genomic information in clinical trials that match cancer patients to therapies, which further leads to cancer precision medicine. Furthermore, cancer screening and monitoring were enhanced greatly by the use of liquid biopsies. With the growing data complexity and size, there is much anticipation in exploiting deep machine learning and artificial intelligence to curate integrative “−omics” data to refine the current medical practice to be applied in the near future. Focusing on breast cancer, this review summarizes the discovery of germline variations and somatic alterations with genome‐wide association studies and next‐generation sequencing that contributes to big genomic data. These genetic biomarkers could be integrated in clinical settings to identify individuals who are at risk for cancer, drug‐induced toxicity, as well as match cancer patients to therapies, which further leads to cancer precision medicine. This review will also discuss the potential use of liquid biopsies in cancer screening and monitoring.

The use of blood liquid biopsy is being gradually incorporated into the clinical setting of cancer management. The minimally invasive nature of the usage of cell-free DNA (cfDNA) and its ability to capture the molecular alterations of tumors are great advantages for their clinical applications. However, somatic mosaicism in plasma remains an immense challenge for accurate interpretation of liquid biopsy results. Clonal hematopoiesis (CH) is part of the normal process of aging with the accumulation of somatic mutations and clonal expansion of hematopoietic stem cells. The detection of these non-tumor derived CH-mutations has been repeatedly reported as a source of biological background noise of blood liquid biopsy. Incorrect classification of CH mutations as tumor-derived mutations could lead to inappropriate therapeutic management. CH has also been associated with an increased risk of developing cardiovascular disease and hematological malignancies. Cancer patients, who are CH carriers, are more prone to develop therapy-related myeloid neoplasms after chemotherapy than non-carriers. The detection of CH mutations from plasma cfDNA analysis should be cautiously evaluated for their potential pathological relevance. Although CH mutations are currently considered as “false-positives” in cfDNA analysis, future studies should evaluate their clinical significance in healthy individuals and cancer patients.

Liquid biopsies have been receiving tremendous attentions as easy, rapid, and non-invasive tools for cancer diagnosis. Liquid biopsy can be performed repeatedly for disease monitoring and is expected to overcome the limitations of tissue biopsies. With the advancement of next generation sequencing technologies, it is now possible to detect minute amount of tumor-derived circulation tumor DNA (ctDNA) from blood samples. Importantly, ctDNA detection could be complementary to tissue biopsies or tumor biomarkers particularly in cases of which tumor biopsy is clinically difficult to obtain. Here, we introduce the up-to-date technologies used in cfDNA-based liquid biopsy and review the clinical utilities of ctDNA in cancer screening, detection of minimal residual diseases, selection of molecular-targeted drugs, as well as monitoring of treatment responsiveness. We also discuss the challenges and future perspectives of liquid biopsy implementation in clinical setting.

Cyclin‐dependent kinase 4/6 inhibitors (CDK4/6i) significantly improve progression‐free survival and have become the standard therapy for estrogen receptor‐positive/human epidermal growth factor receptor 2‐negative metastatic breast cancer patients. Treatment surveillance by radiological imaging has some limitations in detection and repeated biopsy genomic profiling is not clinically feasible. Serial circulating tumor DNA (ctDNA) analysis may provide insights into treatment response. Here we performed serial ctDNA analysis (n = 178) on 33 patients. Serial ctDNA analysis identified disease progression with sensitivity of 75% and specificity of 92%. In eight of 12 patients (61%) responding to CDK4/6i who eventually developed progressive disease, serial sampling every 3 or 6 months captured the initial rise of ctDNA with an average lead time of 3 months. In three of eight patients that did not respond to CDK4/6i (progressive disease at first radiological assessment, 3 months), biweekly sequencing within the first cycle of CDK4/6i treatment (1 month) detected sustained ctDNA levels (≥0.2% variant allele frequency), with lead time of 2 months. Serial ctDNA analysis tracked RECIST response, including clinically challenging scenarios (bone metastases or small‐sized target lesions), as well as detecting acquired genetic alterations linked to CDK4/6i resistance in the G1 to S transition phase. Circulating tumor DNA analysis was more sensitive than carcinoembryonic antigen or cancer antigen 15‐3 serum tumor markers at monitoring tumor response to CDK4/6i treatment. Our findings indicated the possible clinical utility of serial ctDNA analysis for earlier progressive disease detection and real‐time monitoring of CDK4/6i response. Cyclin‐dependent kinase 4/6 inhibitors (CDK4/6i) significantly improve progression‐free survival and have become the standard therapy for ER+/HER2− metastatic breast cancer patients. Treatment surveillance by radiological imaging has some limitations in detection and repeated biopsy genomic profiling is not clinically feasible. Our findings showed the possible clinical utility of serial circulating tumor DNA analysis for earlier progressive disease detection and real‐time monitoring of CDK4/6i response.

Abstract Background Blood-based analysis of circulating tumor DNA (ctDNA) is a promising tool for cancer screening, monitoring relapse/recurrence and evaluating response to treatment. Although plasma is widely used to obtain ctDNA, biorepositories worldwide possess a huge number of serum samples and comparative studies on the use of serum vs plasma as ctDNA sources are essential. Methods We analyzed cell-free DNA (cfDNA) from matched EDTA-plasma and serum samples from healthy donors and patients with colorectal or lung cancer, and used targeted next-generation sequencing to evaluate mutation detection efficiency and reproducibility. Matched samples from healthy individuals were spiked with reference oligonucleotides and sequenced using the Ion-S5 Oncomine-Pan-Cancer panel. Detection efficiency in matched samples from patients with cancer was evaluated using 2 distinct gene panels and compared to mutations found in tissue-biopsy samples at diagnosis. Results Mean total cfDNA was 55% higher in serum samples and the presence of longer DNA fragments was significantly increased in serum compared with plasma samples (P = 0.0001 to 0.015). Spiked mutated nucleotides were detected in both samples, but allele frequencies (AF) were approximately half in serum compared with plasma, suggesting ctDNA from serum was more diluted by DNA of noncancerous origins. Matched samples from patients with cancer revealed that up to 44.8% of mutations with low AF were missed in serum samples and concordance rates with somatic mutations found in tissue biopsy at diagnosis was better in plasma samples. Conclusion The use of serum in retrospective studies should consider the limitations for detecting low AF mutations. Plasma is clearly preferable for prospective clinical applications of liquid biopsy.

As the use of next‐generation sequencing (NGS) for plasma cell‐free DNA (cfDNA) continues to expand in clinical settings, accurate identification of circulating tumor DNA mutations is important to validate its use in the clinical management for cancer patients. Here, we aimed to characterize mutations including clonal hematopoiesis (CH)‐related mutations in plasma cfDNA and tumor tissues using the same ultradeep NGS assay and evaluate the clinical significance of CH‐related mutations on the interpretation of liquid biopsy results. Ultradeep targeted NGS using Oncomine Pan‐Cancer Panel was performed on matched surgically resected tumor tissues, peripheral blood cells (PBCs), and 120 plasma cfDNA samples from 38 colorectal cancer patients. The clinical significance of the CH‐related mutations in plasma cfDNA was evaluated by longitudinal monitoring of the postoperative plasma samples. Among the 38 patients, 74 nonsynonymous mutations were identified from tumor tissues and 64 mutations from the preoperative plasma samples. Eleven (17%) of the 64 mutations identified in plasma cfDNA were also detected in PBC DNA and were identified to be CH‐related mutations. Overall, 11 of 38 (29%) patients in this cohort harbored at least one CH‐related mutation in plasma cfDNA. These CH‐related mutations were continuously detected in subsequent postoperative plasma samples from three patients which could be misinterpreted as the presence of residual disease or as lack of treatment response. Our results indicated that it is essential to integrate the mutational information of PBCs to differentiate tumor‐derived from CH‐related mutations in liquid biopsy analysis. This would prevent the misinterpretation of results to avoid misinformed clinical management for cancer patients. Identification of circulating tumor DNA mutations through next‐generation sequencing (NGS) of plasma samples has important clinical applications. However, a substantial fraction of mutations detected shares features of mutations related with clonal hematopoiesis. Paired plasma and peripheral blood cell sequencing should be standard practice for NGS analysis of liquid biopsies to avoid misinterpretation of results and misinformed clinical management of cancer patients.

Considering the cost and invasiveness of monitoring postoperative minimal residual disease (MRD) of colorectal cancer (CRC) after adjuvant chemoradiotherapy (ACT), we developed a favorable approach based on methylated circulating tumor DNA to detect MRD after radical resection. Analyzing the public database, we identified the methylated promoter regions of the genes FGD5, GPC6, and MSC. Using digital polymerase chain reaction (dPCR), we termed the “amplicon of methylated sites using a specific enzyme” assay as “AMUSE.” We examined 180 and 114 pre‐ and postoperative serial plasma samples from 28 recurrent and 19 recurrence‐free pathological stage III CRC patients, respectively. The results showed 22 AMUSE‐positive of 28 recurrent patients (sensitivity, 78.6%) and 17 AMUSE‐negative of 19 recurrence‐free patients (specificity, 89.5%). AMUSE predicted recurrence 208 days before conventional diagnosis using radiological imaging. Regarding ACT evaluation by the reactive response, 19 AMUSE‐positive patients during their second or third blood samples showed a significantly poorer prognosis than the other patients (p = 9E‐04). The AMUSE assay stratified four groups by the altered patterns of tumor burden postoperatively. Interestingly, only 34.8% of cases tested AMUSE‐negative during ACT treatment, indicating eligibility for ACT. The AMUSE assay addresses the clinical need for accurate MRD monitoring with universal applicability, minimal invasiveness, and cost‐effectiveness, thereby enabling the timely detection of recurrences. This assay can effectively evaluate the efficacy of ACT in patients with stage III CRC following curative resection. Our study strongly recommends reevaluating the clinical application of ACT using the AMUSE assay. We developed a method called AMUSE, utilizing methylated circulating tumor DNA, to detect minimal residual disease (MRD) in colorectal cancer (CRC) patients after treatment. The AMUSE assay displayed high sensitivity and specificity in predicting cancer recurrence earlier than traditional imaging methods and also evaluated the efficacy of adjuvant chemoradiotherapy in these patients. The study highlights the potential of the AMUSE assay for noninvasive, cost‐effective MRD monitoring and suggests reconsidering chemoradiotherapy application using this method.

We present a study to evaluate the feasibility and clinical utility of amplicon‐based Oncomine Pan‐Cancer cell‐free assay to detect circulating tumor DNA (ctDNA) in patients with early or advanced breast cancer. In this study, 109 early and metastatic breast cancer patients were recruited before the initiation of treatment. ctDNA mutation profiles were assessed through unique molecular tagging (UMT) and ultradeep next generation sequencing (NGS). For patients with mutations, DNA from corresponding white blood cells (WBC) was sequenced to exclude variants of clonal‐hematopoietic (CH) origin. UMT targeted sequencing from plasma of 109 patients achieved a median total coverage of 55 498X and a median molecular coverage of 4187X. Among 53 ctDNA positive samples, 38% were mutation positive by WBC sequencing, indicating potentially false‐positive results contributed by CH origin. Prevalence of CH‐related mutations was associated with age (P = 7.51 × 10−4). After exclusion of CH mutations, ctDNA detection rates were 37% for local or locally advanced breast cancer (stage I‐III) and 81% for metastatic or recurrent breast cancer. The ctDNA detection rate correlated with disease stage (P = 2.60 × 10−4), nodal spread (P = 6.49 × 10−3) and the status of distant metastases (P = 5.00 × 10−4). ctDNA variants were detected mostly in TP53, PIK3CA and AKT1 genes, with variants showing therapeutic relevance. This pilot study endorses the use of targeted NGS for non‐invasive molecular profiling of breast cancer. Paired sequencing of plasma ctDNA and WBC should be implemented to improve accurate interpretation of liquid biopsy. We present a study to evaluate the feasibility and clinical utility of amplicon‐based liquid biopsy assay to detect circulating tumor DNA (ctDNA) in patients with early or advanced breast cancer. After excluding CH mutations, the ctDNA detection rate correlated with disease stage, nodal spread and the status of distant metastases. Paired sequencing of plasma ctDNA and WBC should be implemented to improve accurate interpretation of liquid biopsy.

The rearrangement of anaplastic lymphoma kinase (ALK) occurs in 3%‐5% of patients with non–small cell lung cancer (NSCLC) and confers sensitivity to ALK–tyrosine kinase inhibitors (TKIs). For the treatment of patients with ALK‐rearranged NSCLC, various additional ALK‐TKIs have been developed. Ceritinib is a second‐generation ALK‐TKI and has shown great efficacy in the treatment of patients with both newly diagnosed and crizotinib (a first‐generation ALK‐TKI)‐refractory ALK‐rearranged NSCLC. However, tumors can also develop ceritinib resistance. This may result from secondary ALK mutations, but other mechanisms responsible for this have not been fully elucidated. In this study, we explored the mechanisms of ceritinib resistance by establishing ceritinib‐resistant, echinoderm microtubule‐associated protein‐like 4 (EML4)‐ALK–positive H3122 cells and ceritinib‐resistant patient‐derived cells. We identified a mechanism of ceritinib resistance induced by bypass signals that is mediated by the overexpression and activation of fibroblast growth factor receptor 3 (FGFR3). FGFR3 knockdown by small hairpin RNA or treatment with FGFR inhibitors was found to resensitize the resistant cells to ceritinib in vitro and in vivo. FGFR ligands from either human serum or fetal bovine serum were able to activate FGFR3 and induce ceritinib resistance. A detailed analysis of ceritinib‐resistant patient‐derived specimens confirmed that tyrosine‐protein kinase Met (cMET) amplification induces ceritinib resistance. Amplified cMET counteractivated EGFR and/or Her3 and induced ceritinib resistance. These results reveal multiple ceritinib resistance mechanisms and suggest that ceritinib resistance might be overcome by identifying precise resistance mechanisms. For the treatment of ALK rearranged non‐small cell lung cancer, 5 ALK inhibitors approved and prognosis has been markedly improved, but still the emergence of drug resistance is a major obstacle. In this study it was newly found that FGFR3 overexpression and activation mediated ALK‐TKI resistance as a bypass pathway activation mediated resistance.

Recent clinical trials of non‐small cell lung cancer with immune checkpoint inhibitors revealed that patients with epidermal growth factor receptor (EGFR) mutations had more unfavorable outcomes compared with those with wild‐type EGFR. However, the underlying mechanism for the link between EGFR mutations and immune resistance remains unclear. We performed T cell receptor (TCR) repertoire analysis of resected lung adenocarcinoma tissues with and without EGFR mutations to investigate the characteristics of TCR repertoires. We collected a total of 39 paired (normal and tumor) lung tissue samples (20 had EGFR mutations) and conducted TCR repertoire analysis as well as whole‐exome sequencing (WES) and transcriptome analysis. The TCR diversity index in EGFR‐mutant tumors was significantly higher than that in EGFR‐wild‐type tumors (median [range] 552 [162‐1,135] vs 230 [30‐764]; P < .01), suggesting higher T cell clonal expansion in EGFR‐wild‐type tumors than in EGFR‐mutant tumors. In WES, EGFR‐mutant tumors showed lower numbers of non‐synonymous mutations and predicted neoantigens than EGFR‐wild‐type tumors (P < .01, P = .03, respectively). The number of non‐synonymous mutations revealed a positive correlation with the sum of frequencies of the TCRβ clonotypes of 1% or higher in tumors (r = .52, P = .04). The present study demonstrates significant differences in TCR repertoires and the number of predicted neoantigens between EGFR‐mutant and wild‐type lung tumors. Our findings provide important information for understanding the molecular mechanism behind EGFR‐mutant patients showing unfavorable responses to immune checkpoint inhibitors. We report distinct characteristics of TCR repertoires in lung adenocarcinomas with and without EGFR mutations.