Physician interpretation of genomic test results and treatment selection

Next-Generation Sequencing in Sporadic Medullary Thyroid Cancer Patients: Mutation Profile and Disease Aggressiveness

Context

Next-generation sequencing (NGS) analysis of sporadic medullary thyroid carcinoma (sMTC) has led to increased detection of somatic mutations, including RET M918T, which has been considered a negative prognostic indicator.

Objective

This study aimed to determine the association between clinicopathologic behavior and somatic mutation identified on clinically motivated NGS.

Methods

In this retrospective cohort study, patients with sMTC who underwent NGS to identify somatic mutations for treatment planning were identified. Clinicopathologic factors, time to distant metastatic disease (DMD), disease-specific survival (DSS), and overall survival (OS) were compared between somatic mutations.

Results

Somatic mutations were identified in 191 sMTC tumors, including RET M918T (53.4%), other RET codons (10.5%), RAS (18.3%), somatic RET indels (8.9%), and RET/RAS wild-type (WT) status (8.9%). The median age at diagnosis was 50 years (range, 11-83); 46.1% were female. When comparing patients with RET M918T, RET-Other, and RET WT (which included RAS and RET/RAS WT), there were no differences in sex, TNM category, systemic therapy use, time to DMD, DSS, or OS. On multivariate analysis, older age at diagnosis (HR 1.05, P < .001; HR 1.06, P< .001) and M1 stage at diagnosis (HR 3.17, P = .001; HR 2.98, P = .001) were associated with decreased DSS and OS, respectively, but mutation cohort was not. When comparing RET M918T to RET indels there was no significant difference in time to DMD, DSS, or OS between the groups.

Conclusion

Somatic RET mutations do not portend compromised DSS or OS in a cohort of sMTC patients who underwent clinically motivated NGS.

Genetic and genomic learning needs of oncologists and oncology nurses in the era of precision medicine: a scoping review

Genetic and genomic data are increasingly guiding clinical care for cancer patients. To meet the growing demand for precision medicine, patient-facing oncology staff will be a part of leading the provision of genomic testing. A scoping review was undertaken to identify the range of genetic and genomic learning needs of oncologists and oncology nurses. Learning needs were reported relating to interpretation of genomic data, clinical decision-making, patient communication and counseling, and fundamentals of genetics and genomics. There was a lack of empirical research specific to oncology nurses and their learning needs in tumor sequencing. Our findings suggest that oncologists and oncology nurses need tailored support, education and training to improve their confidence and skills in adopting genomic testing into clinical practice.

Results and Clinical Utilization of Foundation Medicine Molecular Tumor Profiling in Uterine and Ovarian Cancers

BACKGROUND

Recent advances in next-generation sequencing have allowed for an increase in molecular tumor profiling.

OBJECTIVE

We sought to assess the actionability and clinical utilization of molecular tumor profiling results obtained via Foundation Medicine tumor sequencing tests in uterine and ovarian cancers.

PATIENTS AND METHODS

We performed a single-institution retrospective chart review to obtain demographic and clinical information in patients with uterine and ovarian cancer whose tumors were submitted to Foundation Medicine for molecular tumor profiling over a 7-year period. Alterations identified on testing were stratified according to the OncoKB database actionability algorithm. Descriptive statistics were primarily used to analyze the data.

RESULTS

Tumors from 185 women with gynecologic cancer were submitted for molecular tumor profiling between 2013 and 2019. The majority of tests (144/185; 78%) were ordered after a diagnosis of recurrence. In 60 (32%), no actionable molecular alteration was identified. Thirteen (7%) identified an alteration that directed to a US Food and Drug Administration-approved therapy in that tumor type, while 112 (61%) had alterations with investigational or hypothetical treatment implications. In patients with any actionable finding, treatment was initiated in 27 (15%) based on these results.

CONCLUSIONS

The majority of uterine and ovarian cancers (93%) did not have molecular alterations with corresponding Food and Drug Administration-approved treatments. Even in patients with a potentially actionable alteration, gynecologic oncologists were more likely to choose an alternative therapy. Further investigation is warranted to determine which patients with uterine and ovarian cancer are most likely to benefit from molecular tumor profiling and the ideal timing of testing. The potential to identify effective therapeutic options in a minority of patients needs to be balanced with the current limited clinical applicability of these results in most cases.

Rate of change in investigational treatment options: An analysis of reports from a large precision oncology decision support effort

PURPOSE

Genomic analysis of individual patients is now affordable, and therapies targeting specific molecular aberrations are being tested in clinical trials. Genomically-informed therapy is relevant to many clinical domains, but is particularly applicable to cancer treatment. However, even specialized clinicians need help to interpret genomic data, to navigate the complicated space of clinical trials, and to keep up with the rapidly expanding biomedical literature. To quantitate the cognitive load on treating clinicians, we attempt to quantitate the rate of change in potential treatment options for patients considering genomically-relevant and genomically-selected therapy for cancer.

MATERIALS AND METHODS

To this end, we analyzed patient-specific reports generated by a precision oncology decision support team (PODS) at a large academic cancer center. Two types of potential treatment options were analyzed: FDA-approved genomically-relevant and genomically-selected therapies and therapies available via clinical trials. We focused on two clinically-actionable alterations: ERBB2 (Her2/neu; amplified vs. non-amplified) and BRAF mutation (V600 vs. non-V600). To determine changes in available treatment options, we grouped patients into similar groups by disease site (ERBB2: breast, gastric and "other"; BRAF: melanoma, non-melanoma).

RESULTS

A total of 2927 reports for 2366 unique patients were generated 8/2016-12/2018. Reports included 9902 gene variants and 150 disease classifications. BRAF mutation and ERBB2 amplification were annotated with therapeutic options in 270 reports (225 unique patients). The median survival time of a therapeutic option was nine months.

CONCLUSION

When compared to "traditional" clinical practice guideline recommendations, treatment options for personalized cancer therapy change seven times more rapidly; partly due to change in knowledge and partly due to logistics such as clinical trial availability.

Molecular Profiling-Based Precision Medicine in Cancer: A Review of Current Evidence and Challenges

Matched therapy based on next-generation sequencing is now a part of routine care to guide the treatment of patients with advanced solid tumors. However, whether and to what extent patients can benefit from this strategy on a large scale remains uncertain. In the past decade, several clinical studies were performed in this field, among which only one was a randomized trial. We reviewed the literature on this topic and summarize the existing data about the efficacy of this treatment strategy. Currently, the evidence is promising but not solid. Multiple ongoing trials are also summarized. We also discuss the limitations of this treatment strategy and certain unsolved important problems, including how to select the sample and target level, how to interpret the results, and the problem of drug accessibility. All these issues should receive more attention in future clinical trial design and the application of target therapy in cancer treatment.

Redefining Colorectal Cancer by Tumor Biology

Colorectal cancer treatment has undergone a paradigm shift. We no longer see this disease as a singular, anatomic tumor type but rather a set of disease subgroups. Largely because of a better understanding of cancer biology and the introduction and integration of molecular biomarkers-the premise of precision therapy-we are beginning to direct treatments toward the right tumor target(s) in the right patients. The field of molecular profiling is continually evolving, and new biomarkers are constantly being discovered that have investigational, therapeutic, and/or prognostic implications-negative or positive. To date, only a few biomarkers have sufficient actionable, clinical implication to earn international guideline-recommended routine testing. Hence, it is vital that the treating oncologist should know which biomarkers to assess, when in the treatment course to test for them, and how the test is to be done. Correct interpretation of profiling results is imperative. Herein, we focus on international guideline-recommended mutation testing for patients prior to their colorectal cancer treatment initiation. The clinical applications of circulating tumor DNA (ctDNA) in patients with metastatic disease, based on our current knowledge and capabilities, are also addressed.

The regulatory landscape of precision oncology laboratory medicine in the United States - Perspective on the past 5 years and considerations for future regulation

The regulatory landscape for precision oncology in the United States is complicated, with multiple governmental regulatory agencies with different scopes of jurisdiction. Several regulatory proposals have been introduced since the Food and Drug Administration released a draft guidance to regulate laboratory-developed tests in 2014. Key aspects of the most recent proposals and discussion of central arguments related to the regulation of precision oncology laboratory tests provides insight to stakeholders for future discussions related to regulation of laboratory tests.

Provider engagement in precision oncology education: an exploratory analysis of online continuing medical education data

Given the rapid growth in genomic tests and targeted therapeutics, clinicians are likely to benefit from additional precision medicine education. Aim: This study evaluated the engagement and effectiveness of two interactive, case-based educational modules about somatic tumor testing, developed by the Jackson Laboratory, American Medical Association and Scripps Research Translational Institute, titled ‘Precision Medicine for Your Practice’. Results: 402 participants enrolled in one or both free online continuing education modules, including physicians, nurses, scientists and genetic counselors and 41% completed module evaluations. Over 90% of respondents reported alignment of program with practice needs and planned to change their practice, including patient communication, identifying candidates for testing and/or interpreting test results. Conclusion: These findings support Precision Medicine for Your Practice as an effective education offering for diverse clinical professionals.

Detection of Pathogenic Germline Variants Among Patients With Advanced Colorectal Cancer Undergoing Tumor Genomic Profiling for Precision Medicine

BACKGROUND

Genomic profiling of colorectal cancer aims to identify actionable somatic mutations but can also discover incidental germline findings.

OBJECTIVE

The purpose of this study was to report the detection of pathogenic germline variants that confer heritable cancer predisposition.

DESIGN

This was a retrospective study.

SETTINGS

The study was conducted at a tertiary-referral institution.

PATIENTS

Between 2012 and 2015, 1000 patients with advanced cancer underwent targeted exome sequencing of a 202-gene panel. The subgroup of 151 patients with advanced colorectal cancer who underwent matched tumor-normal (blood) sequencing formed our study cohort.

INTERVENTIONS

Germline variants in 46 genes associated with hereditary cancer predisposition were classified according to a defined algorithm based on in silico predictions of pathogenicity. Patients with presumed pathogenic variants were examined for type of mutation, as well as clinical, pedigree, and clinical genetic testing data.

MAIN OUTCOME MEASURES

We measured detection of pathogenic germline variants.

RESULTS

A total of 1910 distinct germline variants were observed in 151 patients. After filtering, 15 pathogenic germline variants (9.9%) were found in 15 patients, arising from 9 genes of varying penetrance for colorectal cancer (APC (n = 2; 13%), ATM (n = 1; 6%), BRCA1 (n = 2; 13%), CDH1 (n = 2; 13%), CHEK2 (n = 4; 27%), MSH2 (n = 1; 7%), MSH6 (n = 1; 7%), NF2 (n = 1; 7%), and TP53 (n = 1; 7%)). Patients with pathogenic variants were diagnosed at a younger age than those without (median, 45 vs 52 y; p = 0.03). Of the 15 patients, 7 patients (46.7%) with variants in low/moderate- penetrant genes for colorectal cancer would likely have not been tested based on clinical and pedigree criteria, where 2 harbored clinically actionable variants (CDH1 and NF2, 28.5% of 7).

LIMITATIONS

This study was limited by its small sample size and advanced-stage patients.

CONCLUSIONS

Tumor-normal sequencing can incidentally discover clinically unsuspected germline variants that confer cancer predisposition in 9.9% of patients with advanced colorectal cancer. Precision medicine should integrate clinical cancer genetics to inform and interpret the actionability of germline variants and to provide follow-up care to mutation carriers. See Video Abstract at http://links.lww.com/DCR/A906.

Genomics-Enabled Precision Medicine for Cancer

Genomic information is increasingly being incorporated into clinical cancer care. Large-scale sequencing efforts have deepened our understanding of the genomic landscape of cancer and contributed to the expanding catalog of alterations being leveraged to aid in cancer diagnosis, prognosis, and treatment. Genomic profiling can provide clinically relevant information regarding somatic point mutations, copy number alterations, translocations, and gene fusions. Genomic features, such as mutational burden, can also be measured by more comprehensive sequencing strategies and have shown value in informing potential treatment options. Ongoing clinical trials are evaluating the use of molecularly targeted agents in genomically defined subsets of cancers within and across tumor histologies. Continued advancements in clinical genomics promise to further expand the application of genomics-enabled medicine to a broader spectrum of oncology patients.

Analysis of mutational signatures in primary and metastatic endometrial cancer reveals distinct patterns of DNA repair defects and shifts during tumor progression

OBJECTIVE

Mutational signatures provide insights into the biological processes shaping tumor genomes and may inform patient therapy. We sought to define the mutational signatures of i) endometrioid and serous endometrial carcinomas (ECs), stratified into the four molecular subtypes, ii) uterine carcinosarcomas, and iii) matched primary and metastatic ECs.

METHODS

Whole-exome sequencing MC3 data from primary endometrioid and serous carcinomas (n = 232) and uterine carcinosarcomas (n = 57) from The Cancer Genome Atlas (TCGA), and matched primary and metastatic ECs (n = 61, 26 patients) were reanalyzed, subjected to mutational signature analysis using deconstructSigs, and correlated with clinicopathologic and genomic data.

RESULTS

POLE (ultramutated) and MSI (hypermutated) molecular subtypes displayed dominant mutational signatures associated with POLE mutations (15/17 cases) and microsatellite instability (55/65 cases), respectively. Most endometrioid and serous carcinomas of copy-number low (endometrioid) and copy-number high (serous-like) molecular subtypes, and carcinosarcomas displayed a dominant aging-associated signature 1. Only 15% (9/60) of copy-number high (serous-like) ECs had a dominant signature 3 (homologous recombination DNA repair deficiency (HRD)-related), a prevalence significantly lower than that found in high-grade serous ovarian carcinomas (54%, p < 0.001) or basal-like breast cancers (46%, p < 0.001). Shifts from aging- or POLE- to MSI-related mutational processes were observed in the progression from primary to metastatic ECs in a subset of cases.

CONCLUSIONS

The mutational processes underpinning ECs vary even among tumors of the same TCGA molecular subtype and in the progression from primary to metastatic ECs. Only a minority of copy-number high (serous-like) ECs display genomics features of HRD and would likely benefit from HRD-directed therapies.