Association between Gut Microbiota and Breast Cancer: Diet as a Potential Modulating Factor.

Breast cancer (BCa) has many well-known risk factors, including age, genetics, lifestyle, and diet; however, the influence of the gut microbiome on BCa remains an emerging area of investigation. This study explores the connection between the gut microbiome, dietary habits, and BCa risk. We enrolled newly diagnosed BCa patients and age-matched cancer-free controls in a case-control study. Comprehensive patient data was collected, including dietary habits assessed through the National Cancer Institute Diet History Questionnaire (DHQ). 16S rRNA amplicon sequencing was used to analyze gut microbiome composition and assess alpha and beta diversity. Microbiome analysis revealed differences in the gut microbiome composition between cases and controls, with reduced microbial diversity in BCa patients. The abundance of three specific microbial genera-Acidaminococus, Tyzzerella, and Hungatella-was enriched in the fecal samples taken from BCa patients. These genera were associated with distinct dietary patterns, revealing significant associations between the presence of these genera in the microbiome and specific HEI2015 components, such as vegetables and dairy for Hungatella, and whole fruits for Acidaminococus. Demographic characteristics were well-balanced between groups, with a significantly higher body mass index and lower physical activity observed in cases, underscoring the role of weight management in BCa risk. Associations between significant microbial genera identified from BCa cases and dietary intakes were identified, which highlights the potential of the gut microbiome as a source of biomarkers for BCa risk assessment. This study calls attention to the complex interplay between the gut microbiome, lifestyle factors including diet, and BCa risk.

Real-World Evaluation of Disease Progression After CDK 4/6 Inhibitor Therapy in Patients With Hormone Receptor-Positive Metastatic Breast Cancer.

BACKGROUND: Cyclin-dependent kinase 4/6 inhibitors (CDKi) have changed the landscape for treatment of patients with hormone receptor positive, human epidermal growth factor receptor 2-negative (HR+/HER-) metastatic breast cancer (MBC). However, next-line treatment strategies after CDKi progression are not yet optimized. We report here the impact of clinical and genomic factors on post-CDKi outcomes in a single institution cohort of HR+/HER2- patients with MBC. METHODS: We retrospectively reviewed the medical records of patients with HR+/HER2- MBC that received a CDKi between April 1, 2014 and December 1, 2019 at our institution. Data were summarized using descriptive statistics, the Kaplan-Meier method, and regression models. RESULTS: We identified 140 patients with HR+/HER2- MBC that received a CDKi. Eighty percent of patients discontinued treatment due to disease progression, with a median progression-free survival (PFS) of 6.0 months (95% CI, 5.0-7.1), whereas those that discontinued CDKi for other reasons had a PFS of 11.3 months (95% CI, 4.6-19.4) (hazard ratio (HR) 2.53, 95% CI, 1.50-4.26 [P = .001]). The 6-month cumulative incidence of post-CDKi progression or death was 51% for the 112 patients who progressed on CDKi. Patients harboring PTEN mutations pre-CDKi treatment had poorer clinical outcomes compared to those with wild-type PTEN. CONCLUSION: This study highlights post-CDKi outcomes and the need for further molecular characterization and novel therapies to improve treatments for patients with HR+/HER2- MBC.

Impact of TP53 mutations in Triple Negative Breast Cancer.

Identifying triple negative breast cancer (TNBC) patients expected to have poor outcomes provides an opportunity to enhance clinical management. We applied an Evolutionary Action Score to functionally characterize TP53 mutations (EAp53) in 96 TNBC patients and observed that EAp53 stratification may identify TP53 mutations associated with worse outcomes. These findings merit further exploration in larger TNBC cohorts and in patients treated with neoadjuvant chemotherapy regimens.

Multiomics analysis of serial PARP inhibitor treated metastatic TNBC inform on rational combination therapies.

In a pilot study, we evaluated the feasibility of real-time deep analysis of serial tumor samples from triple negative breast cancer patients to identify mechanisms of resistance and treatment opportunities as they emerge under therapeutic stress engendered by poly-ADP-ribose polymerase (PARP) inhibitors (PARPi). In a BRCA-mutant basal breast cancer exceptional long-term survivor, a striking tumor destruction was accompanied by a marked infiltration of immune cells containing CD8 effector cells, consistent with pre-clinical evidence for association between STING mediated immune activation and benefit from PARPi and immunotherapy. Tumor cells in the exceptional responder underwent extensive protein network rewiring in response to PARP inhibition. In contrast, there were minimal changes in the ecosystem of a luminal androgen receptor rapid progressor, likely due to indifference to the effects of PARP inhibition. Together, identification of PARPi-induced emergent changes could be used to select patient specific combination therapies, based on tumor and immune state changes.

Ado-trastuzumab for the treatment of metastatic HER2-positive breast cancer in patients previously treated with Pertuzumab.

BACKGROUND: Docetaxel in combination with two HER2-directed therapies, trastuzumab and pertuzumab, is the current standard frontline therapy for patients with metastatic HER2-positive breast cancer. Ado-trastuzumab (T-DM1), an antibody-drug conjugate of trastuzumab and a cytotoxic microtubule-inhibitory agent, emtansine, is approved in patients that have progressed with prior trastuzumab-based therapy. However, the benefit of T-DM1 in patients previously treated with pertuzumab therapy for metastatic breast cancer remains unclear. METHODS: We identified thirty-three adults with metastatic HER2-positive breast cancer treated between March 2013 and July 2018 with T-DM1 either as subsequent therapy after progression on a pertuzumab-based regimen (i.e., "pertuzumab-pretreated") or without prior exposure to pertuzumab (i.e., "pertuzumab-naïve"). Collected data included patient demographics, treatment history, adverse events, and clinical outcomes. For both cohorts receiving T-DM1, the primary endpoint was PFS and secondary endpoints were overall survival (OS), overall response rate (ORR), clinical benefit rate (CBR), and T-DM1-related toxicity rate. RESULTS: Pertuzumab-pretreated patients (n = 23, with 21 evaluable for T-DM1 efficacy) had a median PFS of 9.5 months (95% CI: 2.9-NA), 1-year OS rate of 67.4% (95% CI: 50.0-90.9%) with an unreached median, ORR of 14.3% (95% CI: 3.0-36.3%), and CBR of 52.4% (95% CI: 29.8-74.3%), with none of these measures being statistically different than those estimated for the pertuzumab-naïve group (n = 10). Treatment with T-DM1 after prior pertuzumab exposure (median T-DM1 duration 2.9 months) resulted in no grade ≥ 3 adverse events. CONCLUSIONS: In our cohort, prior exposure to pertuzumab did not significantly impact T-DM1's clinical efficacy or safety profile as second- or later-line therapy in patients with metastatic HER2-positive breast cancer.

Characterizing advanced breast cancer heterogeneity and treatment resistance through serial biopsies and comprehensive analytics.

Molecular heterogeneity in metastatic breast cancer presents multiple clinical challenges in accurately characterizing and treating the disease. Current diagnostic approaches offer limited ability to assess heterogeneity that exists among multiple metastatic lesions throughout the treatment course. We developed a precision oncology platform that combines serial biopsies, multi-omic analysis, longitudinal patient monitoring, and molecular tumor boards, with the goal of improving cancer management through enhanced understanding of the entire cancer ecosystem within each patient. We describe this integrative approach using comprehensive analytics generated from serial-biopsied lesions in a metastatic breast cancer patient. The serial biopsies identified remarkable heterogeneity among metastatic lesions that presented clinically as discordance in receptor status and genomic alterations with mixed treatment response. Based on our study, we highlight clinical scenarios, such as rapid progression or mixed response, that indicate consideration for repeat biopsies to evaluate intermetastatic heterogeneity (IMH), with the objective of refining targeted therapy. We present a framework for understanding the clinical significance of heterogeneity in breast cancer between metastatic lesions utilizing multi-omic analyses of serial biopsies and its implication for effective personalized treatment.

Everolimus Plus Exemestane Treatment in Patients with Metastatic Hormone Receptor-Positive Breast Cancer Previously Treated with CDK4/6 Inhibitor Therapy.

BACKGROUND: The combination of everolimus (EVE) and exemestane (EXE) is approved for the treatment of patients with metastatic hormone receptor-positive breast cancer (mHRBC) who progress on nonsteroidal aromatase inhibitor (NSAI) therapy. However, none of the patients enrolled in the trial that led to this approval (BOLERO-2) had previously received CDK4/6 inhibitors (CDK4/6is), which have since become a frontline standard of care for mHRBC. As such, the clinical benefit of EVE plus EXE in patients who have previously received CDK4/6is remains unknown. MATERIALS AND METHODS: Adult patients with mHRBC at our institution who progressed on an NSAI plus CDK4/6i or NSAI therapy alone and were treated with at least one cycle of EVE plus EXE between 2012 and 2018 were analyzed. Collected data included patient demographics, treatment history, adverse events, and clinical outcomes. Primary objectives were to compare progression-free survival (PFS) and overall survival (OS) between patients who received prior NSAI plus CDK4/6i therapy versus an NSAI alone. RESULTS: Among 43 patients, 17 had prior CDK4/6i exposure. With the exception of de novo metastatic disease, patient and disease characteristics were comparable across treatment cohorts. There was no significant difference in PFS (median, 3.6 vs. 4.2 months) or OS (median, 15.6 vs. 11.3 months) between patients who had received prior CDK4/6is and those who had not, respectively. CONCLUSION: Prior exposure to CDK4/6i therapy did not impact survival outcomes for patients with mHRBC taking EVE plus EXE. However, there was a trend toward improved OS in the CDK4/6i cohort that should be evaluated in larger cohorts. IMPLICATIONS FOR PRACTICE: The use of CDK4/6 inhibitors in combination with a nonsteroidal aromatase inhibitor has become a standard frontline therapy in metastatic hormone receptor-positive breast cancer. An approved subsequent line of therapy is everolimus plus exemestane; however, the original data supporting this therapy predated approval of CDK4/6 inhibitors. As such, the clinical benefit of everolimus and exemestane in patients previously treated with a CDK4/6 inhibitor was unknown. This retrospective cohort study offers real-world data demonstrating prior CDK4/6 inhibitor exposure does not impact survival outcomes for everolimus plus exemestane.

Genomic Alteration in Metastatic Breast Cancer and Its Treatment.

Metastatic breast cancer (mBC) remains responsible for the majority of breast cancer deaths. Whereas clinical outcomes have improved with the development of novel therapies, resistance almost inevitably develops, indicating the need for novel therapeutic approaches for the treatment of mBC. Recent investigations into mBC genomic alterations have revealed novel and potential therapeutic targets. Most notably, therapies against PIK3CA mutation and germline BRCA1/2 mutations have solidified the role of targeted therapy in mBC, with treatments against these alterations now approved by the U.S. Food and Drug Administration (FDA) on the basis of clinical benefit for patients with mBC. Familiarity with relevant genomic alterations in mBC, technologies for mutation detection, methods of interpreting genomic alterations, and an understanding of their clinical impact will aid practicing clinicians in the treatment of mBC as the field of breast oncology moves toward the era of precision medicine.

Implementing a comprehensive translational oncology platform: from molecular testing to actionability.

BACKGROUND: In order to establish the workflows required to implement a real-time process involving multi-omic analysis of patient samples to support precision-guided therapeutic intervention, a tissue acquisition and analysis trial was implemented. This report describes our findings to date, including the frequency with which mutational testing led to precision-guided therapy and outcome for those patients. METHODS: Eligible patients presenting to Oregon Health and Science University Knight Cancer Institute were enrolled on the study. Patients with biopsy proven metastatic or locally advanced unresectable prostate cancer, breast cancer, pancreatic adenocarcinoma, or refractory acute myelogenous leukemia receiving standard of care therapy were eligible. Metastatic site biopsies were collected and analyzed using the Knight Diagnostic Lab GeneTrails comprehensive solid tumor panel (124 genes). CLIA certified genomic information was made available to the treating physician. RESULTS: Between 1/26/2017 and 5/30/2018, 38 patients were enrolled, with 28 successfully undergoing biopsy. Of these, 25 samples yielded sufficient tumor for analysis. The median biopsy cellularity and number of cores collected were 70% (15-90%) and 5 (2-20), respectively. No procedure-related complications occurred. GeneTrails analysis revealed that 22 of 25 (88%) tumor samples harbored at least one potentially actionable mutation, and 18 (72%) samples harbored 2 or more potentially actionable mutations. The most common genetic alterations identified involved: DNA damage repair genes, cell cycle regulating genes, PIK3CA/Akt/mTOR pathway, and FGF gene family. To date, CLIA certified genomic results were used by treating physicians for precision-guided therapy in 5 (23%) patients. CONCLUSION: We report the feasibility of real-time tissue acquisition and analysis to support a successful translational oncology platform. The workflow will provide the foundation to improve access and accrual to biomarker driven precision oncology trials.

BRCAPRO 6.0 Model Validation in Male Patients Presenting for BRCA Testing.

BACKGROUND: BRCAPRO is a risk assessment model to estimate the risk of carrying a BRCA mutation. BRCA mutation carriers are at higher risk of developing breast, ovarian, pancreatic, and prostate cancer. BRCAPRO was developed for women and found to be superior to other risk assessment models. The present study evaluated the validity of BRCAPRO at predicting the risk of male patients carrying a BRCA mutation. PATIENTS AND METHODS: A total of 146 men who presented for genetic counseling and testing from February1997 to September 2011, and their test results were included in the present study. BRCAPRO risk assessment for all patients was calculated using the BRCAPRO clinical CancerGene assessment software. RESULTS: The mean age at presentation was 57 years. Of the 146 patients, 48 had breast cancer, 18 had pancreatic cancer, 39 had prostate cancer, 27 had other primary cancers, and 37 had no cancer. Fifty patients (34%) tested positive for a BRCA mutation (22 BRCA1, 27 BRCA2, and 1 BRCA1 and BRCA2). The mean BRCAPRO score for all patients was 24.96%. The BRCAPRO score was significantly higher for patients who tested positive for a BRCA mutation (46.19% vs. 13.9%, p < .01). The area under the receiver operating characteristics curve was 0.83 for all patients for the BRCAPRO score to predict the risk of carrying a BRCA mutation. At a cutoff point of 30.02%, the sensitivity, specificity, positive predictive value, and negative predictive value were 0.74, 0.81, 0.67, and 0.86, respectively. CONCLUSION: BRCAPRO appears to be a valid risk assessment tool for determining the risk of carrying a BRCA mutation in men. IMPLICATIONS FOR PRACTICE: Men carrying genetic mutations in the BRCA gene have a greater risk than the general population of developing certain types of cancer, including breast, pancreatic, and prostate cancer. BRCAPRO is a risk assessment model that predicts the risk of carrying a BRCA mutation. The present study aimed at validating BRCAPRO for use with men seen for genetic counseling, whether affected by cancer or not. The data available for 146 patients revealed that BRCAPRO was effective at identifying patients at risk of BRCA mutation. These findings could help in identifying a subset of high-risk patients who should proceed to genetic testing.