First-Line Genomic Profiling in Previously Untreated Advanced Solid Tumors for Identification of Targeted Therapy Opportunities

First-Line Genomic Profiling in Previously Untreated Advanced Solid Tumors: 1-Year Follow-Up of the FIRST-Dx Study

The FIRST-Dx study prospectively evaluated the clinical utility of the comprehensive genomic profiling (CGP) test (FoundationOne CDx) in the first-line setting for patients with chemotherapy-naïve advanced solid tumors (gastrointestinal, biliary, pancreatic, lung, breast, gynecologic, melanoma) in six hospitals in Japan. Here, we report the results of the 1-year interim analysis of the follow-up study about the clinical benefits provided by the upfront CGP test. The primary endpoint was overall survival (OS), and secondary endpoints were the proportion of patients who actually received molecular-based recommended therapy (MBRT) determined by the molecular tumor board, best overall response rate (ORR) in each line of therapy, and progression-free survival (PFS) ratio (PFS on MBRT/PFS on the first-line therapy). Data from 172 patients with a median follow-up of 15.1 months (range: 0.1-21.5 months) were available. The median OS was not reached. Thirty-nine patients (22.7%) received MBRT during this follow-up period. ORR in first-line therapy was 56.3% in the MBRT group (n = 16) vs. 42.3% in the non-MBRT group (n = 137), and in the second-line was 26.3% in the MBRT group (n = 19) vs. 17.1% in the non-MBRT group (n = 82). Regarding the PFS ratio of second-line MBRT (n = 12), the median PFS ratio was 1.1, and four patients (33.3%) had a ratio ≥ 1.3, indicating that MBRT might be effective in changing the clinical outcome. The findings of this study imply that CGP testing before the standard of care for patients with advanced solid tumors could prove to be a clinically beneficial strategy for guiding subsequent precision anticancer treatments. Trial Registration: Japan Registry of Clinical Trials (jRCT) ID: jRCT1050220041.

Comprehensive genomic profiling reveals a unique genomic landscape in solid tumors in an Indian cancer cohort of 1000 patients: a single institutional experience

The use of Comprehensive Genomic Profiling (CGP) in clinical practice to detect broad-spectrum therapeutic, prognostic, and predictive biomarkers, including tumor mutational burden (TMB), microsatellite instability (MSI), somatic BRCA (sBRCA) and other homologous recombination repair genes (HRRs) provides a more cost-efficient and tissue-preserving approach than serial single-biomarker analysis. A total of 1000 biopsy-proven cancer patients at the HCG cancer center were profiled in an IRB-approved prospective study. The findings were discussed in the multidisciplinary molecular tumor board (MTB), and recommendations were documented in electronic medical records (EMRs) for clinical management and follow-up. A total of 1747 genomic alterations were detected (mean 1.7 mutations/sample), with 80% of patients having genetic alterations with therapeutic and prognostic implications (Tier I-32%, Tier II-50%). CGP revealed a greater number of druggable genes (47%) than did small panels (14%). Tumor-agnostic markers for immunotherapy (IO) were observed in 16% of the current cohort, based on which IO was initiated. In 13.5% of the cohort, alterations in the HRR pathway including sBRCA (5.5%) were detected providing an option for treatment with platinum or PARP inhibitors. Other significant alterations included those in EGFR, KRAS/BRAF, PIK3CA, cKIT, PDGFRA, ARID1A, ARID2, and FGFR. RNA sequencing revealed 55 + RNA alterations, including those in TMPRSS-ERG, RPS6KB1-VMP1, EML4-ALK, NTRK, PDGFRA and EWSR. Clinical outcome data were available via EMR for 618 patients (62%), out of whom 419 patients had druggable mutations (67%; 95% CI 88.9-93.9%) and 39 patients had 1 or more mutations with prognostic implications. However, only 200 patients (44%; 95% CI 39.1-48.1%) were included in the MTB discussion. Based on genomics reports, the treatment regimen was changed for 137 and 61 patients with and without clinical inputs from the MTB, respectively. The overall change in therapy based on CGP in the clinical cohort was 43%, which was greater in patients enrolled for MTB than in patients who had not undergone MTB. At the interim analysis, with a median follow-up of 18 months (range 12-24 months) after the change in therapy as per genomics report, 97 patients (71%) were found to be alive thus establishing the importance of CGP and MTB in personalized genomics-driven treatment.

Circulating tumor DNA in colorectal cancer: biology, methods and applications

In the practice of colorectal cancer (CRC), traditional tumor tissue analysis is limited by intratumoral and intertumoral heterogeneity and its invasive nature. Circulating tumor DNA (ctDNA) analysis, a promising liquid biopsy approach, has been increasingly explored in clinical studies. Biologically, ctDNA is characterized by tumor-specific diversity and rapid clearance from circulation, enabling real-time, dynamic, and repeatable assessments. Technologically, PCR- and NGS-based downstream analysis methods have been developed and validated. However, variables in pre-analytical and analytical procedures underscores the need for standardized protocols. Compared with clinicopathology-based risk stratification, ctDNA-based molecular residual disease detection has demonstrated significant potential in guiding treatment decisions. Qualitative and quantitative changes in ctDNA have also shown predictive and prognostic value during neoadjuvant or adjuvant treatment, as well as in later-line treatment for metastatic CRC. Specific molecular aberrations in ctDNA can not only assist in identifying candidates for targeted therapies but also reveal resistance mechanisms. Additionally, emerging research is exploring the potential of ctDNA in early cancer detection. Overall, as a novel biomarker, ctDNA holds substantial promise in advancing clinical practice. This review focuses on the biological characteristics, pre-analytical variables, and downstream analysis methods of ctDNA and summarizes its role across various clinical scenarios in CRC.

Comprehensive Genome Profiling-Initiated Tumor-Informed Circulating Tumor DNA Monitoring for Patients With Advanced Cancer

In Japan, comprehensive genome profiling (CGP) as a companion diagnostic (CDx) has been covered by public insurance since June 2019, but the proportion of patients with cancer who actually received drug therapy based on CGP data is low. In the present study, we attempted to use CGP as a starting point for tumor-informed circulating tumor DNA (ctDNA) monitoring. We retrospectively validated 219 patients with malignant tumors who underwent CGP at Iwate Medical University Hospital between October 2019 and April 2023 in terms of patient demographics, genetic analysis, drug recommendations, and drug administration rate. The 219 cancer cases analyzed by CGP for 27 target organs, including prostate (n = 27, 12.3%), colorectal (n = 25, 11.4%), lung (n = 19, 8.7%), and other neoplasms (n = 148, 67.6%). Among the cohort, only 14 cases (6.4%) subsequently were able to undertake the recommended action by Molecular Tumor Board. Of patients who underwent ctDNA monitoring based on somatic mutations identified by CGP (n = 11), clinical validity was confirmed in terms of early relapse prediction (n = 5, 45.5%), treatment response evaluation (n = 10, 90.9%), and no relapse/regrowth corroboration (n = 2, 18.2%) whereas 90.9% (n = 10) of patients obtained information with at least one source of the clinical validity. Although the current rate of CGP contributing to a drug recommendation is low, CGP results can be an alternate resource for tumor-informed longitudinal ctDNA monitoring to provide information concerning early relapse prediction, treatment response evaluation, and no relapse/regrowth corroboration.

Frontiers in pancreatic cancer on biomarkers, microenvironment, and immunotherapy

Pancreatic cancer remains one of the most challenging malignancies to treat due to its late-stage diagnosis, aggressive progression, and high resistance to existing therapies. This review examines the latest advancements in early detection, and therapeutic strategies, with a focus on emerging biomarkers, tumor microenvironment (TME) modulation, and the integration of artificial intelligence (AI) in data analysis. We highlight promising biomarkers, including microRNAs (miRNAs) and circulating tumor DNA (ctDNA), that offer enhanced sensitivity and specificity for early-stage diagnosis when combined with multi-omics panels. A detailed analysis of the TME reveals how components such as cancer-associated fibroblasts (CAFs), immune cells, and the extracellular matrix (ECM) contribute to therapy resistance by creating immunosuppressive barriers. We also discuss therapeutic interventions that target these TME components, aiming to improve drug delivery and overcome immune evasion. Furthermore, AI-driven analyses are explored for their potential to interpret complex multi-omics data, enabling personalized treatment strategies and real-time monitoring of treatment response. We conclude by identifying key areas for future research, including the clinical validation of biomarkers, regulatory frameworks for AI applications, and equitable access to innovative therapies. This comprehensive approach underscores the need for integrated, personalized strategies to improve outcomes in pancreatic cancer.

Limited Efficacy of Anti-EGFR Monoclonal Antibodies in Colorectal Cancer Patients with Rare RAS Variants: Analysis of the C-CAT Database

Epidermal growth factor receptor (EGFR) inhibition is crucial in treating RAS wild-type metastatic colorectal cancer, yet current testing methods may miss rare RAS variants affecting treatment efficacy. We analyzed 4122 colorectal cancer patients receiving anti-EGFR antibodies from the Center for Cancer Genomics and Advanced Therapeutics database, identifying 54 patients (1.3%) with rare RAS variants undetectable by standard testing. These patients showed significantly lower response rates to anti-EGFR therapy (28.3%) compared to RAS wild-type cases (44.6%, p = 0.003). Disease control rates were also lower in rare variant cases (60.9%) versus wild-type cases (80.0%). Most common rare variants included KRAS Q22K, A59E, and A11_G12insGA. Comprehensive genomic profiling revealed additional alterations in TP53 (90.7%), APC (87.0%), and non-V600E BRAF mutations (25.9%). Our findings suggest that rare RAS variants predict poor anti-EGFR therapy response, highlighting the potential benefit of comprehensive genomic profiling before treatment initiation. This study provides real-world evidence supporting the clinical relevance of rare RAS variants in treatment decision-making for colorectal cancer. Future studies should focus on developing cost-effective comprehensive testing strategies and evaluating alternative treatment approaches for patients with rare RAS variants.

Association of genetic alterations with prognosis in extramammary Paget disease: insights into the involvement of somatic CDKN2A variants in patients with a poor prognosis

BACKGROUND

Previous studies have reported the mutational landscape in extramammary Paget disease (EMPD); however, the prognostic implications of genetic alterations remain unexplored. While CDKN2A loss is known to be associated with tumour progression or poor prognosis in some types of cancer, its significance in EMPD has not been investigated.

OBJECTIVES

To examine the association between common genetic alterations and prognosis in EMPD.

METHODS

A retrospective cohort study was carried out to analyse the data of patients with EMPD registered up to January 2024 in the Center for Cancer Genomics and Advanced Therapeutics database, a nationwide database that records clinical data and comprehensive genomic profiling (CGP) test results in Japan.

RESULTS

A total of 167 patients with EMPD were recorded in the database, with CDKN2A loss being the most frequent genetic variant. Survival analysis was conducted on data from 127 patients. Survival from the initiation of chemotherapy was analysed, adjusting for length bias inherent in the database with the Kaplan-Meier estimator, an established method of adjustment. Patients with BRCA2-mutant tumours (n = 18) had a worse prognosis than those with BRCA2 wildtype (WT) tumours [n = 109; hazard ratio (HR) 2.97, 95% confidence interval (CI) 1.46-6.01 (P = 0.003)]. Additionally, patients in the CDKN2A mutant group (n = 72) had a significantly worse prognosis compared with those in the CDKN2A WT group [n = 55; HR 1.81, 95% CI 1.06-3.07 (P = 0.029)]. Most CDKN2A variants were pathogenic, primarily characterized by loss, while most BRCA2 variants were variants of uncertain significance. In the survival analysis of CGP enrolment based on Eastern Cooperative Oncology Group performance status (ECOG-PS), patients with an ECOG-PS of 1 at the time of CGP enrolment had a significantly poorer prognosis compared with those with an ECOG-PS of 0 (P = 0.034; median survival time 531 vs. 259 days).

CONCLUSIONS

A somatic CDKN2A variant, mainly exhibiting loss, may be associated with a poor prognosis in EMPD. Patients with EMPD with BRCA2-mutant disease might also have a worse prognosis. In addition, CGP testing before ECOG-PS deteriorates is preferable, considering that the observed median survival of individuals undergoing CGP tests in an ECOG-PS 1 condition was < 9 months.

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.

Comprehensive genomic profiling in multiple cancer types: A comparative analysis of the National Biobank Consortium of Taiwan and clinical practice cohorts

BACKGROUND

This retrospective study analyzed tumor tissue profiling data to assess the potential of comprehensive genomic profiling (CGP) for patient care across diverse solid tumors.

MATERIAL AND METHODS

Patients with newly diagnosed or recurrent stage IIIB or IV lung adenocarcinoma with a null immunophenotype and esophageal, gastric, pancreatic, or bile duct cancer between January 2020 and July 2023 at two medical centers in Taiwan were included. One cohort was a part of the National Biobank Consortium of Taiwan project, whereas the other consisted of patients undergoing routine clinical practice. Tumor samples were subjected to CGP using FoundationOne®CDx, with therapeutic implications determined using OncoKB classification.

RESULTS

FoundationOne®CDx testing of 574 patients was successful in 456 (79.4%) patients. Clinically actionable genomic alterations were detected in 21.1% (96/456) of the patients, including 17.5%, 2.9%, and 0.7% of patients with evidence levels 1, 2, and 3, respectively. Lung adenocarcinoma accounted for the largest proportion of samples with at least one actionable gene alteration (63.2%), followed by bile duct (26.9%), gastric (17.6%), esophageal (4.0%), and pancreatic (3.1%) cancers. Based on CGP results, 43 patients (9.4%) received matched targeted therapy. The median overall survival of patients who received matched therapy or not was 26.1 months (95% confidence interval (CI), 16.7-35.5 months) and 10.6 months (95% CI, 8.1-13.1 months; hazard ratio, 0.28, 95% CI, 0.14-0.55, p < 0.001), respectively.

CONCLUSIONS

This study provides comprehensive insights into the genomic profiles of diverse cancers in Taiwan, highlighting the crucial role of CGP in identifying actionable genomic alterations and guiding effective therapeutic strategies in real-world practice.

Molecularly guided therapy versus chemotherapy after disease control in unfavourable cancer of unknown primary (CUPISCO): an open-label, randomised, phase 2 study

BACKGROUND

Patients with unfavourable subset cancer of unknown primary (CUP) have a poor prognosis when treated with standard platinum-based chemotherapy. Whether first-line treatment guided by comprehensive genomic profiling (CGP) can improve outcomes is unknown. The CUPISCO trial was designed to inform a molecularly guided treatment strategy to improve outcomes over standard platinum-based chemotherapy in patients with newly diagnosed, unfavourable, non-squamous CUP. The aim of the trial was to compare the efficacy and safety of molecularly guided therapy (MGT) versus standard platinum-based chemotherapy in these patients. This was to determine whether the inclusion of CGP in the initial diagnostic work-up leads to improved outcomes over the current standard of care. We herein report the primary analysis.

METHODS

CUPISCO was a phase 2, prospective, randomised, open-label, active-controlled, multicentre trial done at 159 sites in 34 countries outside the USA. Patients with central eligibility review-confirmed disease (acceptable histologies included adenocarcinoma and poorly differentiated carcinoma) and an Eastern Cooperative Oncology Group performance status of 0 or 1, evaluated by CGP, who reached disease control after three cycles of standard first-line platinum-based chemotherapy were randomly assigned 3:1 via a block-stratified randomisation procedure to MGT versus chemotherapy continuation for at least three further cycles. The primary endpoint was investigator-assessed progression-free survival in the intention-to-treat population. The study is registered with ClinicalTrials.gov, NCT03498521, and follow-up is ongoing.

FINDINGS

From July 10, 2018, to Dec 9, 2022, 636 (42%) of 1505 screened patients were enrolled. Median follow-up in the treatment period was 24·1 months (IQR 11·6-35·6). Of 438 patients who reached disease control after induction chemotherapy, 436 were randomly assigned: 326 (75%) to the MGT group and 110 (25%) to the chemotherapy group. Median progression-free survival in the intention-to-treat population was 6·1 months (95% CI 4·7-6·5) in the MGT group versus 4·4 months (4·1-5·6) in the chemotherapy group (hazard ratio 0·72 [95% CI 0·56-0·92]; p=0·0079). Related adverse event rates per 100-patient-years at risk were generally similar or lower with MGT versus chemotherapy.

INTERPRETATION

In patients with previously untreated, unfavourable, non-squamous CUP who reached disease control after induction chemotherapy, CGP with subsequent MGTs resulted in longer progression-free survival than standard platinum-based chemotherapy. On the basis of these results, we recommend that CGP is performed at initial diagnosis in patients with unfavourable CUP.

FUNDING

F Hoffmann-La Roche.

Activating Point Mutations in the MET Kinase Domain Represent a Unique Molecular Subset of Lung Cancer and Other Malignancies Targetable with MET Inhibitors

Activating point mutations in the MET tyrosine kinase domain (TKD) are oncogenic in a subset of papillary renal cell carcinomas. Here, using comprehensive genomic profiling among >600,000 patients, we identify activating MET TKD point mutations as putative oncogenic driver across diverse cancers, with a frequency of ∼0.5%. The most common mutations in the MET TKD defined as oncogenic or likely oncogenic according to OncoKB resulted in amino acid substitutions at positions H1094, L1195, F1200, D1228, Y1230, M1250, and others. Preclinical modeling of these alterations confirmed their oncogenic potential and also demonstrated differential patterns of sensitivity to type I and type II MET inhibitors. Two patients with metastatic lung adenocarcinoma harboring MET TKD mutations (H1094Y, F1200I) and no other known oncogenic drivers achieved confirmed partial responses to a type I MET inhibitor. Activating MET TKD mutations occur in multiple malignancies and may confer clinical sensitivity to currently available MET inhibitors. Significance: The identification of targetable genomic subsets of cancer has revolutionized precision oncology and offers patients treatments with more selective and effective agents. Here, we demonstrate that activating, oncogenic MET tyrosine kinase domain mutations are found across a diversity of cancer types and are responsive to MET tyrosine kinase inhibitors.

A case of treatment-resistant advanced gastric cancer with FGFR2 gene alteration successfully treated with pemigatinib

Comprehensive genome profiling (CGP) is expected to widen the scope of cancer drug options by identifying the genes involved in carcinogenesis. However, a few patients can access recommended treatments following CGP. Herein, we report a case in which pemigatinib, a selective fibroblast growth factor receptor (FGFR) inhibitor, was used as last-line therapy to treat a patient with advanced gastric cancer exhibiting FGFR2 genomic alterations, as determined by CGP testing. The patient (male, 52 years old) was diagnosed with advanced gastric cancer (cStage IV, cT4aN3M1 [LYM], por, HER2 0, microsatellite stable) and received docetaxel + cisplatin + S-1 (7 cycles), irinotecan + ramucirumab (11 cycles), and nivolumab (3 cycles), but experienced progressive disease (PD). Subsequently, FoundationOne Liquid CDx testing was conducted, revealing FGFR2 rearrangement and amplification; however, no clinical trials on genotype-matched therapies for FGFR2 alterations were available. After three cycles of TAS-102, the patient experienced PD and provided consent for the off-label use of pemigatinib. The Cancer Genomics Medical Committee of our hospital approved the self-funded treatment. The patient had markedly decreased CEA and CA19-9 levels after treatment initiation, but experienced PD after five courses. Over the treatment course, grade 1 hyperphosphatemia and onychomadesis were observed. To the best of our knowledge, this is the first reported case of pemigatinib therapy employed in a patient with advanced gastric cancer exhibiting FGFR2 gene alterations. This case could serve as a notable example of tumor-agnostic therapy to broaden treatment options for gastric cancer patients with rare genetic alterations.

Clinical genetics in breast cancer

As genetic testing becomes increasingly more accessible and more applicable with a broader range of clinical implications, it may also become more challenging for breast cancer providers to remain up-to-date. This review outlines some of the current clinical guidelines and recent literature surrounding germline genetic testing, as well as genomic testing, in the screening, prevention, diagnosis, and treatment of breast cancer, while identifying potential areas of further research.

Efficacy and Safety of the MDM2-p53 Antagonist Brigimadlin (BI 907828) in Patients with Advanced Biliary Tract Cancer: A Case Series

Background

In patients with advanced biliary tract cancer (BTC), first-line chemotherapy plus immunotherapy has improved outcomes; however, second-line options that reflect the disease's molecular heterogeneity are still needed. One emerging target is MDM2, amplified in ~5-8% of BTC cases.

Methods

This is a subset analysis of two ongoing Phase Ia/Ib trials assessing patients treated with brigimadlin (BI 907828; a highly potent, oral MDM2-p53 antagonist) ± ezabenlimab (PD-1 inhibitor) ± BI 754111 (anti-LAG-3; n = 1).

Results

Results from 12 patients with BTC are shown (monotherapy: n = 6/combination: n = 6). Six patients achieved partial response (monotherapy: n = 2/combination: n = 4), four had stable disease; responses were durable. Brigimadlin had a manageable safety profile. Seven patients had dose reductions due to adverse events, but no treatment-related adverse events led to treatment discontinuation.

Conclusion

Brigimadlin demonstrated anti-tumor activity in patients with advanced MDM2-amplified BTC, and warrants further investigation.

Patient survey on cancer genomic medicine in Japan under the national health insurance system

In Japan, comprehensive genomic profiling (CGP) tests have been reimbursed under the national health care system for solid cancer patients who have finished standard treatment. More than 50,000 patients have taken the test since June 2019. We performed a nation-wide questionnaire survey between March 2021 and July 2022. Questionnaires were sent to 80 designated Cancer Genomic Medicine Hospitals. Of the 933 responses received, 370 (39.7%) were web based and 563 (60.3%) were paper based. Most patients (784, 84%) first learned about CGP tests from healthcare professionals, and 775 (83.1%) gave informed consent to their treating physician. At the time of informed consent, they were most worried about test results not leading to novel treatment (536, 57.4%). On a scale of 0-10, 702 respondents (75.2%) felt that the explanations of the test result were easy to understand (7 or higher). Ninety-one patients (9.8%) started their recommended treatment. Many patients could not receive recommended treatment because no approved drugs or clinical trials were available (102/177, 57.6%). Ninety-eight patients (10.5%) did not wish their findings to be disclosed. Overall satisfaction with the CGP test process was high, with 602 respondents (64.5%) giving a score of 7-10. The major reason for choosing 0-6 was that the CGP test result did not lead to new treatment (217/277, 78.3%). In conclusion, satisfaction with the CGP test process was high. Patients and family members need better access to information. More patients need to be treated with genomically matched therapy.

Long-Read DNA and RNA Sequencing to Streamline Clinical Genetic Testing and Reduce Barriers to Comprehensive Genetic Testing

BACKGROUND

Obtaining a precise molecular diagnosis through clinical genetic testing provides information about disease prognosis or progression, allows accurate counseling about recurrence risk, and empowers individuals to benefit from precision therapies or take part in N-of-1 trials. Unfortunately, more than half of individuals with a suspected Mendelian condition remain undiagnosed after a comprehensive clinical evaluation, and the results of any individual clinical genetic test ordered during a typical evaluation may take weeks or months to return. Furthermore, commonly used technologies, such as short-read sequencing, are limited in the types of disease-causing variation they can identify. New technologies, such as long-read sequencing (LRS), are poised to solve these problems.

CONTENT

Recent technical advances have improved accuracy, increased throughput, and decreased the costs of commercially available LRS technologies. This has resolved many historical concerns about the use of LRS in the clinical environment and opened the door to widespread clinical adoption of LRS. Here, we review LRS technology, how it has been used in the research setting to clarify complex variants or identify disease-causing variation missed by prior clinical testing, and how it may be used clinically in the near future.

SUMMARY

LRS is unique in that, as a single data source, it has the potential to replace nearly every other clinical genetic test offered today. When analyzed in a stepwise fashion, LRS will simplify laboratory processes, reduce barriers to comprehensive genetic testing, increase the rate of genetic diagnoses, and shorten the amount of time required to make a molecular diagnosis.

Serial comprehensive genomic profiling by next-generation sequencing for patients with metastatic colorectal cancer

In a real‐world database of metastatic colorectal cancer (mCRC) in the United States, comprehensive genomic profiling (CGP) using plasma‐based next‐generation sequencing identified potentially actionable profiles for approximately one‐third of the patients with both the first test and again with a second test after disease progression, with around 60% of all patients tested receiving therapy consistent with the CGP results at each line of treatment. This suggests a role for CGP prior to more than one line of mCRC treatment.