The Community Oncology and Academic Medical Center Alliance in the Age of Precision Medicine: Cancer Genetics and Genomics Considerations

Prevalence of homologous recombination biomarkers in multiple tumor types: an observational study

Aim: To determine the prevalence of deleterious mutations in BRCA1 and BRCA2 and in 13 genes involved in homologous recombination repair (HRR), the prevalence of genomic loss of heterozygosity and the allelic and hereditary status of BRCA1, BRCA2 and other HRR gene mutations in multiple solid tumor types. Patients & methods: This was a retrospective observational study of patients with an advanced/metastatic diagnosis in one of 15 solid tumor types, who were identified in a real-world clinico-genomic database. Results: Tumor tissue samples from 9457 patients were analyzed, among which 4.7% had known or suspected deleterious BRCA1/2 mutations. The prevalence (range) of mutations in HRR genes was 13.6% (2.4%-26.0%) and genomic loss of heterozygosity ≥16% was 20.6% (2.6-34.4%) across all tumor types. Conclusion: The prevalence of mutations varied significantly depending on the type of tumor.

Treatment Patterns and Clinical Outcomes Among Patients with Metastatic Non-small Cell Lung Cancer Without Actionable Genomic Alterations Previously Treated with Platinum-Based Chemotherapy and Immunotherapy

BACKGROUND

For patients with metastatic non-small cell lung cancer, timely molecular testing is essential to determine the appropriate course of therapy. Initial treatment with platinum chemotherapy and/or an immune checkpoint inhibitor (ICI) is the standard of care for patients without actionable genomic alterations.

OBJECTIVE

We aimed to assess treatment patterns and clinical outcomes among patients with metastatic non-small cell lung cancer, no actionable genomic alterations, and with prior ICI and platinum-based chemotherapy in a community oncology setting.

METHODS

This retrospective observational study examined electronic health records from adult patients with an initial metastatic non-small cell lung cancer diagnosis without actionable genomic alterations from 2017 to 2019. Patients had received a subsequent line of therapy (LOT) [index] after discontinuing platinum-based chemotherapy plus an ICI in the previous one or two LOTs. Patient demographics and clinical characteristics were analyzed descriptively. Clinical outcomes were evaluated using Kaplan-Meier analyses.

RESULTS

Among the study population (n = 961), the most common index LOT regimens were non-platinum-based chemotherapies (57.3%), platinum-based chemotherapies (12.9%), ICI-based chemotherapies (12.7%), platinum + ICI-based chemotherapies (9.4%), and other (7.7%). The most common post-index LOT regimens were non-platinum based (61.2%), ICI based (15.3%), platinum based (10.7%), platinum + ICI based (3.2%), and other (2.5%). Median time to treatment discontinuation, time to next treatment, and overall survival were numerically longest with index LOT ICI-based regimens (6.5, 9.9, and 18.9 months, respectively) and shortest with platinum-based regimens (2.8, 5.3, and 8.0 months, respectively) and non-platinum-based regimens (2.6, 5.0, and 7.8 months, respectively).

CONCLUSIONS

Among patients with metastatic non-small cell lung cancer without actionable genomic alterations previously treated with platinum + ICIs, non-platinum chemotherapy agents were most commonly prescribed in the index LOT. Clinical outcomes including time to treatment discontinuation, time to next treatment, and overall survival were short, highlighting the unmet need for more effective later-line treatments.

Virtual Molecular and Precision Medicine Clinic to Improve Access to Clinical Trials for Patients With Metastatic Breast Cancer: An Academic/Community Collaboration

PURPOSE

There is a demand for improved care delivery surrounding genomic testing and clinical trial enrollment among patients with metastatic breast cancer (MBC). We sought to improve the current process via real-time informal consultation and prescreening assessment for patients with MBC treated by community and academic medical oncologists by implementing a virtual molecular and precision medicine (vMAP) clinic.

METHODS

The vMAP program used a virtual referral system directed to a multidisciplinary team with precision medicine expertise. Providers contacted vMAP regarding patients with MBC, and on receipt of referral, the vMAP team engaged in discussion to identify if further diagnostics were needed (including genomic testing) and to identify potential clinical trials or standard treatment options. Recommendations were then sent to the referring provider within 72 hours. Pre-/postsurveys were issued to network physicians to assess for barriers, clinical trial access, and vMAP referral experience. Program implementation was evaluated with the Squire 2.0 reporting guidelines for quality improvement in health care as a framework.

RESULTS

Eighty-one cases from 22 providers were referred to vMAP over a 26-month period. The average response time to the referring provider with a finalized recommendation was 1.90 ± 1.82 days. A total of 86.4% of cases had clinical trial options on vMAP prescreen, with 40.7% initiating formal screening assessments and 27 patients (33.3%) ultimately enrolling on trials. On resurvey, 92% of survey responses across community oncology referring providers said that they were very likely to use vMAP again.

CONCLUSION

In the initial 2-year period, vMAP demonstrated an efficient means to offer real-time interpretation of genomic testing and identification of clinical trials for patients with MBC, with effective clinical trial enrollment and high rates of referring provider satisfaction.

Clinical Network Systems Biology: Traversing the Cancer Multiverse

In recent decades, cancer biology and medicine have ushered in a new age of precision medicine through high-throughput approaches that led to the development of novel targeted therapies and immunotherapies for different cancers. The availability of multifaceted high-throughput omics data has revealed that cancer, beyond its genomic heterogeneity, is a complex system of microenvironments, sub-clonal tumor populations, and a variety of other cell types that impinge on the genetic and non-genetic mechanisms underlying the disease. Thus, a systems approach to cancer biology has become instrumental in identifying the key components of tumor initiation, progression, and the eventual emergence of drug resistance. Through the union of clinical medicine and basic sciences, there has been a revolution in the development and approval of cancer therapeutic drug options including tyrosine kinase inhibitors, antibody-drug conjugates, and immunotherapy. This 'Team Medicine' approach within the cancer systems biology framework can be further improved upon through the development of high-throughput clinical trial models that utilize machine learning models, rapid sample processing to grow patient tumor cell cultures, test multiple therapeutic options and assign appropriate therapy to individual patients quickly and efficiently. The integration of systems biology into the clinical network would allow for rapid advances in personalized medicine that are often hindered by a lack of drug development and drug testing.

Evaluation and Comparison of Real-World Databases for Conducting Research in Patients With Colorectal Cancer

PURPOSE

Evaluating whether patient populations in clinico-genomic oncology databases are comparable with whom in other databases without genomic component is important.

METHODS

Four databases were compared for colorectal cancer (CRC) cases and stage IV CRC cases: American Association for Cancer Research Project Genomics Evidence Neoplasia Information Exchange Biopharma Collaborative (GENIE-BPC), The Cancer Genome Atlas (TCGA), SEER-Medicare, and MarketScan Commercial and Medicare Supplemental claims databases. These databases were also compared with the SEER registry database which serves as national benchmarks. Demographics, clinical characteristics, and overall survival were compared in patients with newly diagnosed CRC and patients with stage IV CRC across databases. Treatment patterns were further compared in patients with stage IV CRC.

RESULTS

A total of 65,976 patients with CRC and 13,985 patients with stage IV CRC were identified. GENIE-BPC had the youngest patient population (mean age [years]: CRC, 54.1; stage IV CRC, 52.7). SEER-Medicare had the oldest patient population (CRC, 77.7; stage IV CRC, 77.3). Most patients were male and of White race across databases. GENIE-BPC had the highest proportion of patients with stage IV CRC (48.4% v other databases 13.8%-25.4%) and patients receiving treatments (95.7% v 37.6%-59.1%). Infusional fluorouracil, leucovorin, and oxaliplatin with or without bevacizumab was the most common regimen across databases accounting for 47.3%-78.5% of patients receiving first line of therapy. The median survival from diagnosis was 36, 94, 44 months (CRC) and 23, 36, 15 months (stage IV CRC) for patients in GENIE-BPC after left truncation, TCGA, and SEER-Medicare databases, respectively.

CONCLUSION

Compared with other databases, GENIE-BPC had the youngest patients with CRC with the most advanced disease and the largest proportion of patients receiving treatment. Investigators should consider adjustments when extrapolating results from clinico-genomic databases to the general CRC population.

Multisite Quality Improvement Initiative to Identify and Address Racial Disparities and Deficiencies in Delivering Equitable, Patient-Centered Care for Multiple Myeloma-Exploring the Differences between Academic and Community Oncology Centers

Treatment of multiple myeloma (MM) is complex; however, with equal access to care, clinical outcomes for Black patients match those in other patient groups. To reveal and begin to address clinical practice barriers to equitable, patient-centered MM care, this quality improvement (QI) initiative assessed patient electronic medical records (EMRs) and surveyed patients and providers at two large hospital systems and four community-based practices. For the educational intervention, providers participated in feedback-focused grand rounds sessions to reflect on system barriers and develop action plans to improve MM care. EMR reviews revealed infrequent documentation of cytogenetics and disease staging at community-based practices compared to large hospital systems. In surveys, providers from each care setting reported different challenges in MM care. Notably, the goals of treatment for patients and providers aligned at community clinics while providers and patients from large hospital systems had discordant perspectives. However, providers in community settings underreported race-associated barriers to care and identified different factors impacting treatment decision-making than Black patients. Relative to pre-session responses, providers were more likely to report high confidence after the educational sessions in aligning treatment decisions with guidelines and clinical evidence and shared decision-making (SDM). This QI study identified discordant perceptions among providers at large hospital systems and community-based practices in providing quality MM care. Provider education yielded increased confidence in and commitment to patient-centered care.

"Doing Good" in U.S. Cancer Genomics? Valuation practices across the boundaries of research and care in rural community oncology

Genomic Tumour Testing (GTT) is an emerging site of "experimental care" in oncology [Cambrosio, Alberto, Peter Keating, Etienne Vignola-Gagné, Sylvain Besle, and Pascale Bourret. 2018a. "Extending Experimentation: Oncology's Fading Boundary Bbetween Research and Care." New Genetics and Society 37 (3): 207-226. doi: 10.1080/14636778.2018.1487281]. Few efforts to implement GTT have reached community oncology practices or patients living in rural communities within the US. Drawing on interdisciplinary research on a state-wide cancer genomics initiative in the rural US state of Maine, this paper explores the valuation practices within community oncologist and cancer stakeholders accounts of "doing good" within genomic science and care. We contribute to STS literatures on the bio-economy by highlighting the affective dimensions of strategies for managing economic and non-economic values. Clinician and stakeholders negotiated de-economizing and capitalizing modes of doing good as they built local genomic platforms "for Maine." These situated modes of doing good and feeling good via cancer genomics shaped how they navigated the ethical ambiguities of US biomedical markets across the boundaries of research and care.

Characterizing the relationships between tertiary and community cancer providers: Results from a survey of medical oncologists in Southern California

BACKGROUND

Tertiary cancer centers offer clinical expertise and multi-modal approaches to treatment alongside the integration of research protocols. Nevertheless, most patients receive their cancer care at community practices. A better understanding of the relationships between tertiary and community practice environments may enhance collaborations and advance patient care.

METHODS

A 31-item survey was distributed to community and tertiary oncologists in Southern California using REDCap. Survey questions assessed the following attributes: demographics and features of clinical practice, referral patterns, availability and knowledge of clinical trials and precision medicine, strategies for knowledge acquisition, and integration of community and tertiary practices.

RESULTS

The survey was distributed to 98 oncologists, 85 (87%) of whom completed it. In total, 52 (61%) respondents were community practitioners and 33 (38%) were tertiary oncologists. A majority (56%) of community oncologists defined themselves as general oncologists, whereas almost all (97%) tertiary oncologists reported a subspecialty. Clinical trial availability was the most common reason for patient referrals to tertiary centers (73%). The most frequent barrier to tertiary referral was financial considerations (59%). Clinical trials were offered by 97% of tertiary practitioners compared to 67% of community oncologists (p = 0.001). Most oncologists (82%) reported only a minimal-to-moderate understanding of clinical trials available at regional tertiary centers.

CONCLUSIONS

Community oncologists refer patients to tertiary centers primarily with the intent of clinical trial enrollment; however, significant gaps exist in their knowledge of trial availability. Our results identify the need for enhanced communication and collaboration between community and tertiary providers to expand patients' access to clinical trials.

Distribution of Genomic Testing Resources by Oncology Practice and Rurality: A Nationally Representative Study

PURPOSE

Oncologists are increasingly using molecular profiling to inform personalized patient treatment decisions. Despite its promising utility, the integration of genomic testing into diverse clinical health care settings across geographic settings has been understudied.

METHODS

We used data from the National Survey of Precision Medicine in Cancer Treatment, a nationally representative sample of practicing US oncologists, to assess the availability of six genomic testing resources, including on-site pathology, contracts with outside laboratories, on-site genetic counselors, internal policies or protocols for using genomic and biomarker testing, electronic medical record alerts, and genomic or molecular tumor boards. We used multivariate logistic regression models to examine differences in the availability of each genomic testing resource by practice type and rurality while adjusting for payer mix and patient volume.

RESULTS

A larger proportion of multispecialty group and academic practices had genomic testing resources available compared with solo and nonacademic practices. Electronic medical record alerts were the least available resource, whereas contracts with outside laboratories were the most available resource. Compared with urban practices, there were significantly fewer practices located in rural areas that had on-site pathology, on-site genetic counselors, protocols for genomic tests, and molecular tumor boards.

CONCLUSION

Genomic testing resources varied by practice type and geography among a nationally representative sample of practicing oncologists. This variation has important implications for the development of interventions and policies to support the more equitable delivery of precision oncology to patients with cancer.