Checkpoint inhibitor therapy for metastatic triple-negative breast cancer.

Immunotherapy has become a mainstay of cancer treatment in many malignancies, though its application in breast cancer remains limited. Of the breast cancer subtypes, triple-negative breast cancers (TNBCs) are characterized by immune activation and infiltration and more commonly express biomarkers associated with response to immunotherapy. Checkpoint inhibitor therapy has shown promising activity in metastatic TNBC. In 2019, the US FDA granted accelerated approval of atezolizumab, a programmed death-ligand 1 (PD-L1) inhibitor, in combination with nab-paclitaxel for unresectable locally advanced or metastatic PD-L1-positive TNBC, based on the results of the phase III IMpassion130 trial. In 2020, the FDA also granted accelerated approval of pembrolizumab, a PD-1 inhibitor, in combination with chemotherapy for locally recurrent unresectable and metastatic PD-L1-positive TNBC, based on results of the phase III KEYNOTE-355 trial. Additional combination strategies are being explored in the treatment of metastatic TNBC, with the goal of augmenting antitumor activity. In this review, the clinical development of checkpoint inhibitors in the treatment of metastatic TNBC will be discussed, including clinical outcomes with monotherapy and combination therapy regimens, biomarkers that may predict for benefit, and future directions in the field.

Molecular characterization of ESR1 variants in breast cancer.

PURPOSE: Estrogen receptor 1 (ESR1) mutations and fusions typically arise in patients with hormone receptor-positive breast cancer after aromatase inhibitor therapy, whereby ESR1 is constitutively activated in a ligand-independent manner. These variants can impact treatment response. Herein, we characterize ESR1 variants among molecularly profiled advanced breast cancers. METHODS: DNA next-generation sequencing (592-gene panel) data from 9860 breast cancer samples were retrospectively reviewed. Gene fusions were detected using the ArcherDx fusion assay or whole transcriptome sequencing (n = 344 and n = 4305, respectively). Statistical analyses included Chi-square and Fisher's exact tests. RESULTS: An ESR1 ligand-binding domain (LBD) mutation was detected in 8.6% of tumors evaluated and a pathogenic ESR1 fusion was detected in 1.6%. Most ESR1 LBD mutations/fusions were from estrogen receptor (ER)-positive samples (20.1% and 4.9%, respectively). The most common ESR1 LBD mutations included D538G (3.3%), Y537S (2.3%), and E380Q (1.1%) mutations. Among biopsy sites, ESR1 LBD mutations were most observed in liver metastases. Pathogenic ESR1 fusions were identified in 76 samples (1.6%) with 40 unique fusion partners. Evaluating co-alterations, ESR1 variant (mutation/fusion) samples more frequently expressed androgen receptor (78.0% vs 58.6, P < 0.0001) and less frequently immune checkpoint proteins than ESR1 wild-type (PD-1 20.0% vs 53.4, P < 0.05; immune cell PD-L1 10.0% vs 30.2, P < 0.0001). CONCLUSION: We have described one of the largest series of ESR1 fusions reported. ESR1 LBD mutations were commonly identified in ER-positive disease. Limited data exists regarding the clinical impact of ESR1 fusions, which could be an area for future therapeutic exploration.

Residual Cancer Burden Class Associated with Survival Outcomes in Women with Different Phenotypic Subtypes of Breast Cancer After Neoadjuvant Chemotherapy.

BACKGROUND: The residual cancer burden class informs survival outcomes after neoadjuvant chemotherapy. We evaluated the prognostic ability of the RCB for survival outcomes in women with different phenotypic subtypes of breast cancer treated with neoadjuvant chemotherapy. Additional variables were assessed for inclusion with the RCB to further improve the model's discriminative ability. PATIENTS AND METHODS: We conducted a retrospective review of patients completing at least 75% of the recommended cycles of neoadjuvant chemotherapy between 1 January 2010 and 31 December 2016. Phenotypic subtypes were defined by hormone receptor and human epidermal growth factor receptor 2 (HER2) status at diagnosis, classified as HR+/HER2-, HER2+, or triple-negative breast cancer (TNBC). The RCB class was calculated and survival endpoints of overall survival, recurrence-free survival, and distant recurrence-free survival were analyzed using Kaplan-Meier and Cox proportional hazards methods. The discriminative ability of the models was quantified by Harrell's C-index. RESULTS: Overall, 532 women met the inclusion criteria. Median follow-up was 65 months. In univariate models, RCB was significantly associated with OS, RFS, and DRFS. The RCB class had good discriminative ability for OS, RFS, and DRFS survival, with Harrell's C-indices of 0.68, 0.67, and 0.68, respectively. The RCB class discriminated well for each survival endpoint within HER2+ and TNBC, but did not discriminate well for HR+/HER2- (OS Harrell's C-indices of 0.77, 0.75, and 0.52, respectively). CONCLUSIONS: The RCB class was prognostic for OS, RFS, and DRFS after neoadjuvant chemotherapy, but prognostic discrimination between patients with subtype HR+/HER2- was not observed during the follow-up period for which the overall event rate was low.

Actionable co-alterations in breast tumors with pathogenic mutations in the homologous recombination DNA damage repair pathway.

PURPOSE: Homologous recombination (HR)-deficient breast tumors may have genomic alterations that predict response to treatment with PARP inhibitors and other targeted therapies. METHODS: Comprehensive molecular profiles of 4647 breast tumors performed at Caris Life Sciences using 592-gene NGS were reviewed to identify somatic pathogenic mutations in HR genes ARID1A, ATM, ATRX, BAP1, BARD1, BLM, BRCA1/2, BRIP1, CHEK1/2, FANCA/C/D2/E/F/G/L, KMT2D, MRE11, NBN, PALB2, RAD50/51/51B, and WRN, as well as 41 markers that may be associated with treatment response to targeted anticancer therapies. RESULTS: 17.9% of breast tumors had HR mutations (HR-MT, 831/4647) [ER/PR+ , HER2- 18.3%, n = 2183; TNBC 18.2%, n = 1568; ER/PR+ , HER2+ 15.6%, n = 237; ER/PR-, HER2+ 12.9%, n = 217; unknown n = 442]. Mean TMB was higher for HR-MT tumors across subtypes (9.2 mut/Mb vs 7.6 h-wild type (HR-WT), p ≤ 0.0001) and independent of microsatellite status. MSI-H/dMMR was more frequent among HR-MT tumors (2.1% HR-MT vs 0.2% HR-WT, p ≤ 0.0001), as was tumor PD-L1 overexpression (13.2% HR-MT vs 11.0% HR-WT, p = 0.08). Additional co-alterations were similar between HR-MT and HR-WT, with the exception of PIK3CA (30.3% HR-WT vs 26.4% HR-MT, p = 0.024) and AKT1 (3.7% HR-WT vs 2.1% HR-MT, p = 0.021). AR overexpression and PIK3CA mutations were more common among ER/PR+ tumors. ERBB2 mutations were seen in both HER2+ and HER2- tumors. CONCLUSIONS: HR-MT was common across breast cancer subtypes and co-occurred more frequently with markers of response to immunotherapy (MSI-H/dMMR, TMB) compared to HR-WT tumors. Mutations were identified in both HR-MT and HR-WT tumors that suggest other targets for treatment. Clinical trials combining HRD-targeted agents and immunotherapy are underway and could be enriched through comprehensive molecular profiling.

Impact of Patient Age on Molecular Alterations of Left-Sided Colorectal Tumors.

BACKGROUND: The incidence of colorectal cancer (CRC) in younger patients is rising, mostly due to tumors in the descending colon and rectum. Therefore, we aimed to explore the molecular differences of left-sided CRC between younger (≤45 years) and older patients (≥65). SUBJECTS, MATERIALS, AND METHODS: In total, 1,126 CRC tumor samples from the splenic flexure to (and including) the rectum were examined by next-generation sequencing (NGS), immunohistochemistry, and in situ hybridization. Microsatellite instability (MSI) and tumor mutational burden (TMB) were assessed by NGS. RESULTS: Younger patients (n = 350), when compared with older patients (n = 776), showed higher mutation rates in genes associated with cancer-predisposing syndromes (e.g., Lynch syndrome), such as MSH6 (4.8% vs. 1.2%, p = .005), MSH2 (2.7% vs. 0.0%, p = .004), POLE (1.6% vs. 0.0%, p = .008), NF1 (5.9% vs. 0.5%, p < .001), SMAD4 (14.3% vs. 8.3%, p = .024), and BRCA2 (3.7% vs. 0.5%, p = .002). Genes involved in histone modification were also significantly more mutated: KDM5C (1.9% vs. 0%, p = .036), KMT2A (1.1% vs. 0%, p = .033), KMT2C (1.6% vs. 0%, p = .031), KMT2D (3.8% vs. 0.7%, p = .005), and SETD2 (3.2% vs. 0.9%, p = .039). Finally, TMB-high (9.7% vs. 2.8%, p < .001) and MSI-high (MSI-H; 8.1% vs. 1.9%, p = .009) were more frequent in younger patients. CONCLUSION: Our findings highlight the importance of genetic counseling and screening in younger CRC patients. MSI-H and TMB-high tumors could benefit from immune-checkpoint inhibitors, now approved for the treatment of MSI-H/deficient mismatch repair metastatic CRC patients. Finally, histone modifiers could serve as a new promising therapeutic target. With confirmatory studies, these results may influence our approach to younger adults with CRC. IMPLICATIONS FOR PRACTICE: The increasing rate of colorectal cancers (CRC), primarily distal tumors, among young adults poses a global health issue. This study investigates the molecular differences between younger (≤45 years old) and older (≥65) adults with left-sided CRCs. Younger patients more frequently harbor mutations in genes associated with cancer-predisposing syndromes. Higher rates of microsatellite instability-high and tumor mutational burden-high tumors occur in younger patients, who could benefit from immune-checkpoint inhibitors. Finally, histone modifiers are more frequently mutated in younger patients and could serve as a new promising therapeutic target. This study provides new insights into mutations that may guide development of novel tailored therapy in younger CRC patients.

Prevalence of Phosphatidylinositol-3-Kinase (PI3K) Pathway Alterations and Co-alteration of Other Molecular Markers in Breast Cancer.

Background: PI3K/AKT signaling pathway is activated in breast cancer and associated with cell survival. We explored the prevalence of PI3K pathway alterations and co-expression with other markers in breast cancer subtypes. Methods: Samples of non-matched primary and metastatic breast cancer submitted to a CLIA-certified genomics laboratory were molecularly profiled to identify pathogenic or presumed pathogenic mutations in the PIK3CA-AKT1-PTEN pathway using next generation sequencing. Cases with loss of PTEN by IHC were also included. The frequency of co-alterations was examined, including DNA damage response pathways and markers of response to immuno-oncology agents. Results: Of 4,895 tumors profiled, 3,558 (72.7%) had at least one alteration in the PIK3CA-AKT1-PTEN pathway: 1,472 (30.1%) harbored a PIK3CA mutation, 174 (3.6%) an AKT1 mutation, 2,682 (54.8%) had PTEN alterations (PTEN mutation in 7.0% and/or PTEN loss by IHC in 51.4% of cases), 81 (1.7%) harbored a PIK3R1 mutation, and 4 (0.08%) a PIK3R2 mutation. Most of the cohort consisted of metastatic sites (n = 2974, 60.8%), with PIK3CA mutation frequency increased in metastatic (32.1%) compared to primary sites (26.9%), p < 0.001. Other PIK3CA mutations were identified in 388 (7.9%) specimens, classified as "off-label," as they were not included in the FDA-approved companion test for PIK3CA mutations. Notable co-alterations included increased PD-L1 expression and high tumor mutational burden in PIK3CA-AKT1-PTEN mutated cohorts. Novel concurrent mutations were identified including CDH1 mutations. Conclusions: Findings from this cohort support further exploration of the clinical benefit of PI3K inhibitors for "off-label" PIK3CA mutations and combination strategies with potential clinical benefit for patients with breast cancer.

The use of a predictive statistical model to make a virtual control arm for a clinical trial.

BACKGROUND: Randomized clinical trials compare participants receiving an experimental intervention to participants receiving standard of care (SOC). If one could predict the outcome for participants receiving SOC, a trial could be designed where all participants received the experimental intervention, with the observed outcome of the experimental group compared to the prediction for those individuals. METHODS: We used the CancerMath calculator to predict outcomes for participants in two large clinical trials of adjuvant chemotherapy for breast cancer: NSABPB15 and CALGB9344. NSABPB15 was the training set, and we used the modified algorithm to predict outcomes for two groups from CALGB9344: one which received standard of care (SOC) chemotherapy and one which received paclitaxel in addition. We made a prediction for each individual CALGB9344 participant, assuming each received only SOC. RESULTS: The predicted outcome for the group which received only SOC matched what was observed in the CALGB9344 trial. In contrast, the predicted outcome for the group also receiving paclitaxel was significantly worse than what was observed for this group. This matches the conclusion of CALGB9344 that adding paclitaxel to SOC improves survival. CONCLUSION: This project proves that a statistical model can predict the outcome of clinical trial participants treated with SOC. In some circumstances, a predictive model could be used instead of a control arm, allowing all participants to receive experimental treatment. Predictive models for cancer and other diseases could be constructed using the vast amount of outcomes data available to the federal government, and made available for public use.

Prevalence of Homologous Recombination-Related Gene Mutations Across Multiple Cancer Types.

PURPOSE: The prevalence of homologous recombination DNA damage repair (HR-DDR) deficiencies among all tumor lineages is not well characterized. Therapy directed toward homologous recombination DDR deficiency (HRD) is now approved in ovarian and breast cancer, and there may be additional opportunities for benefit for patients with other cancers. Comprehensive evaluations for HRD are limited in part by the lack of a uniform, cost-effective method for testing and defining HRD. METHODS: Molecular profiles of 52,426 tumors were reviewed to identify pathogenic mutations in the HR-DDR genes ARID1A, ATM, ATRX, BAP1, BARD1, BLM, BRCA1/2, BRIP1, CHEK1/2, FANCA/C/D2/E/F/G/L, MRE11A, NBN, PALB2, RAD50, RAD51, RAD51B, or WRN. From solid tumors submitted to Caris Life Sciences, molecular profiles were generated using next-generation sequencing (NGS; average read depth, 500×). A total of 17,566 tumors were sequenced with NGS600 (n = 592 genes), and 34,860 tumors underwent hotspot Illumina MiSeq platform testing (n = 47 genes). RESULTS: Of the tumors that underwent NGS600 testing, the overall frequency of HRDDR mutations detected was 17.4%, and the most commonly mutated lineages were endometrial (34.4%; n = 1,475), biliary tract (28.9%; n = 343), bladder (23.9%; n = 201), hepatocellular (20.9%; n = 115), gastroesophageal (20.8%; n = 619), and ovarian (20.0%; n = 2,489). Least commonly mutated lineages included GI stromal (3.7%; n = 108), head and neck (6.8%; n = 206), and sarcoma (9.3%; n = 592). ARID1A was the most commonly mutated gene (7.2%), followed by BRCA2 (3.0%), BRCA1 (2.8%), ATM (1.3%), ATRX (1.3%), and CHEK2 (1.3%). CONCLUSIONS: HR-DDR mutations were seen in 17.4% of tumors across 21 cancer lineages, providing a path to explore the role of HRD-directed therapies, including poly-ADP ribose polymerase inhibitors, DNA-damaging chemotherapies, and newer agents such as ATR inhibitors.

Disseminated emm Type 12 Group A Streptococcus and Review of Invasive Disease.

The authors present a case of invasive group A Streptococcus (GAS) in a previously healthy 63-year-old male complicated by trans-esophageal echocardiogram negative endocarditis, septic arthritis, and multiple cerebral septic emboli. Despite antibiotics and drainage of his largest brain abscess, the patient expired. This case highlights the potential mortality from invasive GAS disease. Included is a review of current literature regarding invasive GAS that addresses its presentation, prevalence, virulence and treatment.