Association between tumor mutation profile and clinical outcomes among Hispanic Latina women with triple-negative breast cancer

Racial disparities in treatment and outcomes between Hispanic and non-Hispanic black women with triple-negative breast cancer

INTRODUCTION

Triple-negative breast cancer (TNBC) is an aggressive breast cancer (BC) subtype with higher incidence and mortality rates in non-Hispanic Black (NHB) women than non-Hispanic Whites. Studies assessing disparities between NHB and Hispanic women, the two largest US racial/ethnic minorities, are lacking. This study evaluates disparities in the treatment and outcomes between NHB and Hispanic women with non-metastatic TNBC.

METHODS

This observational, population-based study using the SEER database included adult, female patients diagnosed with non-metastatic TNBC between 2010 and 2015 and identified as NHB or Hispanic. Logistic regression analysis was used to examine the adjusted odds of receiving breast cancer-directed treatment. Kaplan-Meier and cumulative incidence of death curves were plotted to assess overall survival (OS) and risk of breast cancer-related death, respectively. Multivariate regression analyses with Cox and Fine-Gray methods were calculated to assess factors associated with OS and breast cancer-related death, respectively.

RESULTS

There were 3426 Hispanic and 5419 NHB patients with non-metastatic TNBC. Hispanics had better 5-year OS relative to NHB (76% vs. 72%). No differences in the odds of receiving chemotherapy or surgery between cohorts was seen. However, the odds of undergoing breast-conserving surgery (BCS) and receiving radiation was higher in NHB than Hispanics, (OR, 1.22; 95% CI, 1.10-1.36) and (OR, 1.50; 95% CI, 1.36-1.66), respectively. Lack of radiation therapy was associated with increased BC-related death in NHB relative to Hispanics (sHR, 1.40; 95% CI, 1.19-1.65). Nevertheless, this difference was not seen when radiation was given, (sHR, 1.03; 95% CI, 0.87-1.23).

CONCLUSIONS

We found racial disparities in treatment and outcomes between NHB and Hispanics. NHB were more likely to receive radiation therapy and have BCS. Still, after adjusting for demographic and treatment-related factors, NHB had worse OS and BCSS relative to Hispanics. Additional research is needed to understand the drivers of these disparities.

Temporal Variation of Treatment Patterns and Survival Outcomes of Triple-Negative Breast Cancer Patients: A Real-World Experience From 2000 to 2014

BACKGROUND

Previous studies have reported a higher prevalence of triple-negative breast cancer (TNBC) in US Hispanic/Latina populations. However, survival outcomes and treatment approaches over time in Latin American females are scarcely reported. We aimed to evaluate the temporal variation in treatment patterns and overall survival (OS) outcomes of females with TNBC according to cancer stage.

MATERIALS AND METHODS

We performed a single-center retrospective cohort study on 1840 females from 2000 to 2014. Patients were classified in 3 calendar periods (2000-2004, 2005-2009, and 2010-2014). The Kaplan-Meier method and multivariable regression analyses were employed.

RESULTS

Stage III cancer was identified in half of the population. Five-year OS estimates for cancer stages I, II, and IV remained unchanged across all calendar periods. However, we found worsening 5-year OS estimates in stage III females (49% in 2000-2004 and 31% in 2010-2014; P < .001). Despite increased uptake of overall use of neoadjuvant therapy in stage III females, the time from diagnosis to treatment initiation (P = .013) and time to complete the planned cycles (P < .001) increased over time. Fifty-sex percent of stage IV patients were untreated. Females aged ≥70 years were less likely to receive treatment.

CONCLUSIONS

Survival estimates were lower than those reported in high-income countries. Most females were diagnosed with advanced disease, and the OS for stage III females worsened over time. Our outcomes show difficulties in delivering timely neoadjuvant therapy in an overwhelmed healthcare system. Public health authorities should improve screening practices, develop regional clinical guidelines, and expand trial enrollment.

Deregulated miRNA Expression in Triple-Negative Breast Cancer of Ancestral Genomic-Characterized Latina Patients

Among patients with triple-negative breast cancer (TNBC), several studies have suggested that deregulated microRNA (miRNA) expression may be associated with a more aggressive phenotype. Although tumor molecular signatures may be race- and/or ethnicity-specific, there is limited information on the molecular profiles in women with TNBC of Hispanic and Latin American ancestry. We simultaneously profiled TNBC biopsies for the genome-wide copy number and miRNA global expression from 28 Latina women and identified a panel of 28 miRNAs associated with copy number alterations (CNAs). Four selected miRNAs (miR-141-3p, miR-150-5p, miR-182-5p, and miR-661) were validated in a subset of tumor and adjacent non-tumor tissue samples, with miR-182-5p being the most discriminatory among tissue groups (AUC value > 0.8). MiR-141-3p up-regulation was associated with increased cancer recurrence; miR-661 down-regulation with larger tumor size; and down-regulation of miR-150-5p with larger tumor size, high p53 expression, increased cancer recurrence, presence of distant metastasis, and deceased status. This study reinforces the importance of integration analysis of CNAs and miRNAs in TNBC, allowing for the identification of interactions among molecular mechanisms. Additionally, this study emphasizes the significance of considering the patients ancestral background when examining TNBC, as it can influence the relationship between intrinsic tumor molecular characteristics and clinical manifestations of the disease.

XMR: an explainable multimodal neural network for drug response prediction

Introduction: Existing large-scale preclinical cancer drug response databases provide us with a great opportunity to identify and predict potentially effective drugs to combat cancers. Deep learning models built on these databases have been developed and applied to tackle the cancer drug-response prediction task. Their prediction has been demonstrated to significantly outperform traditional machine learning methods. However, due to the "black box" characteristic, biologically faithful explanations are hardly derived from these deep learning models. Interpretable deep learning models that rely on visible neural networks (VNNs) have been proposed to provide biological justification for the predicted outcomes. However, their performance does not meet the expectation to be applied in clinical practice. Methods: In this paper, we develop an XMR model, an eXplainable Multimodal neural network for drug Response prediction. XMR is a new compact multimodal neural network consisting of two sub-networks: a visible neural network for learning genomic features and a graph neural network (GNN) for learning drugs' structural features. Both sub-networks are integrated into a multimodal fusion layer to model the drug response for the given gene mutations and the drug's molecular structures. Furthermore, a pruning approach is applied to provide better interpretations of the XMR model. We use five pathway hierarchies (cell cycle, DNA repair, diseases, signal transduction, and metabolism), which are obtained from the Reactome Pathway Database, as the architecture of VNN for our XMR model to predict drug responses of triple negative breast cancer. Results: We find that our model outperforms other state-of-the-art interpretable deep learning models in terms of predictive performance. In addition, our model can provide biological insights into explaining drug responses for triple-negative breast cancer. Discussion: Overall, combining both VNN and GNN in a multimodal fusion layer, XMR captures key genomic and molecular features and offers reasonable interpretability in biology, thereby better predicting drug responses in cancer patients. Our model would also benefit personalized cancer therapy in the future.

Race and Ethnicity Reporting and Enrollment Disparities in Clinical Trials Leading to FDA Approvals for Breast Cancer Between 2010 and 2020

BACKGROUND

We determined the race and ethnicity demographics and reporting trends of clinical trials leading to Food and Drug Administration (FDA) approvals for breast cancer.

METHODS

We collected enrollment and reporting data from clinical trials leading to FDA novel and new use approvals for breast cancer from 2010 to 2020 from Drugs@FDA, ClinicalTrials.gov, and associated journal manuscripts. Enrollment demographics were compared to the US cancer population estimates obtained using National Cancer Institute-Surveillance, Epidemiology, and End Results and 2010 US Census databases.

RESULTS

Seventeen drugs received approval based on 18 clinical trials with a total enrollment of 12,334. For approvals from 2010 to 2015 and from 2016 to 2020, there was no significant difference in race (80% vs. 91.6%, P = .34) or ethnicity reporting (20% vs. 33.3%, P = .5) on ClinicalTrials.Gov, manuscripts, and FDA labels. For trials that reported race and ethnicity, White, Asian, Black, and Hispanic patients represented 73.8%, 16.4%, 3.7%, and 10.4% of trial participants. Relative to their US cancer incidence, Black (31% of expected) patients were underrepresented compared with White (90% of expected), Hispanic (115%), and Asian (327% of expected) patients.

CONCLUSION

We observed no significant difference in race and ethnicity reporting in pivotal clinical trials leading to FDA approval for breast cancer from 2010 to 2020. Black patients were underrepresented in these pivotal trials relative to White, Hispanic, and Asian patients. Ethnicity reporting remained low throughout the study period. Innovative approaches are needed to ensure equitable benefit of novel therapeutics.

Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer

Triple-negative breast cancer (TNBC) is a rare variant of breast cancer (BC) known to be aggressive and refractory. TNBC lacks effective early diagnostic and therapeutic options leading to poorer outcomes. The genomic landscape and alterations leading to BC and TNBC are vast and unclear. Single nucleotide polymorphisms (SNPs) are a widespread form of genetic alterations with a multi-faceted impact on multiple diseases, including BC and TNBC. In this study, we attempted to construct a framework that could identify genes associated with TNBC and screen the SNPs reported in these genes using a set of computational predictors. This framework helped identify BRCA1, BRCA2, EGFR, PIK3CA, PTEN, and TP53 as recurrent genes associated with TNBC. We found 2%-29% of reported SNPs across genes to be typed pathogenic by all the predictors in the framework. We demonstrate that our framework prediction on BC samples identifies 99% of alterations as pathogenic by at least one predictor and 32% as pathogenic by all the predictors. Our framework could be an initial step in developing an early diagnosis of TNBC and potentially help improve the understanding of therapeutic resistance and sensitivity.

Genetic Heterogeneity, Tumor Microenvironment and Immunotherapy in Triple-Negative Breast Cancer

Heterogeneity of triple-negative breast cancer is well known at clinical, histopathological, and molecular levels. Genomic instability and greater mutation rates, which may result in the creation of neoantigens and enhanced immunogenicity, are additional characteristics of this breast cancer type. Clinical outcome is poor due to early age of onset, high metastatic potential, and increased likelihood of distant recurrence. Consequently, efforts to elucidate molecular mechanisms of breast cancer development, progression, and metastatic spread have been initiated to improve treatment options and improve outcomes for these patients. The extremely complex and heterogeneous tumor immune microenvironment is made up of several cell types and commonly possesses disorganized gene expression. Altered signaling pathways are mainly associated with mutated genes including p53, PIK3CA, and MAPK, and which are positively correlated with genes regulating immune response. Of note, particular immunity-associated genes could be used in prognostic indexes to assess the most effective management. Recent findings highlight the fact that long non-coding RNAs also play an important role in shaping tumor microenvironment formation, and can mediate tumor immune evasion. Identification of molecular signatures, through the use of multi-omics approaches, and effector pathways that drive early stages of the carcinogenic process are important steps in developing new strategies for targeted cancer treatment and prevention. Advances in immunotherapy by remodeling the host immune system to eradicate tumor cells have great promise to lead to novel therapeutic strategies. Current research is focused on combining immune checkpoint inhibition with chemotherapy, PARP inhibitors, cancer vaccines, or natural killer cell therapy. Targeted therapies may improve therapeutic response, eliminate therapeutic resistance, and improve overall patient survival. In the future, these evolving advancements should be implemented for personalized medicine and state-of-art management of cancer patients.

Comparison of PIK3CA Mutation Prevalence in Breast Cancer Across Predicted Ancestry Populations

PURPOSE

Understanding the differences in biomarker prevalence that may exist among diverse populations is invaluable to accurately forecast biomarker-driven clinical trial enrollment metrics and to advance inclusive research and health equity. This study evaluated the frequency and types of PIK3CA mutations (PIK3CAmut) detected in predicted genetic ancestry subgroups across breast cancer (BC) subtypes.

METHODS

Analyses were conducted using real-world genomic data from adult patients with BC treated in an academic or community setting in the United States and whose tumor tissue was submitted for comprehensive genomic profiling.

RESULTS

Of 36,151 patients with BC (median age, 58 years; 99% female), the breakdown by predicted genetic ancestry was 75% European, 14% African, 6% Central/South American, 3% East Asian, and 1% South Asian. We demonstrated that patients of African ancestry are less likely to have tumors that harbor PIK3CAmut compared with patients of European ancestry with estrogen receptor-positive/human epidermal growth factor receptor 2-negative (ER+/HER2-) BC (37% [949/2,593] v 44% [7,706/17,637]; q = 4.39E-11) and triple-negative breast cancer (8% [179/2,199] v 14% [991/7,072]; q = 6.07E-13). Moreover, we found that PIK3CAmut were predominantly composed of hotspot mutations, of which mutations at H1047 were the most prevalent across BC subtypes (35%-41% ER+/HER2- BC; 43%-61% HER2+ BC; 40%-59% triple-negative breast cancer).

CONCLUSION

This analysis established that tumor PIK3CAmut prevalence can differ among predicted genetic ancestries across BC subtypes on the basis of the largest comprehensive genomic profiling data set of patients with cancer treated in the United States. This study highlights the need for equitable representation in research studies, which is imperative to ensuring better health outcomes for all.

A comprehensive genomic and transcriptomic dataset of triple-negative breast cancers

Molecular subtyping of triple-negative breast cancer (TNBC) is essential for understanding the mechanisms and discovering actionable targets of this highly heterogeneous type of breast cancer. We previously performed a large single-center and multiomics study consisting of genomics, transcriptomics, and clinical information from 465 patients with primary TNBC. To facilitate reusing this unique dataset, we provided a detailed description of the dataset with special attention to data quality in this study. The multiomics data were generally of high quality, but a few sequencing data had quality issues and should be noted in subsequent data reuse. Furthermore, we reconduct data analyses with updated pipelines and the updated version of the human reference genome from hg19 to hg38. The updated profiles were in good concordance with those previously published in terms of gene quantification, variant calling, and copy number alteration. Additionally, we developed a user-friendly web-based database for convenient access and interactive exploration of the dataset. Our work will facilitate reusing the dataset, maximize the values of data and further accelerate cancer research.

Measurement(s)	RNA expression profiling • whole-exome sequencing (WES) • somatic mutations • copy number alterations (CNAs)
Technology Type(s)	RNA sequencing • DNA sequencing • OncoScan CNV assay
Factor Type(s)	Intervention or procedure
Sample Characteristic - Organism	Homo sapiens
Sample Characteristic - Location	China

Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer

Approximately 30% of breast cancer (BC) patients suffer from disease relapse after definitive treatment. Monitoring BC at baseline and disease progression using comprehensive genomic profiling would facilitate the prediction of prognosis. We retrospectively studied 101 BC patients ultimately experiencing relapse and/or metastases. The baseline and circulating tumor DNA‐monitoring cohorts included patients with baseline tumor tissue and serial plasma samples, respectively. Samples were analyzed with targeted next‐generation sequencing of 425 cancer‐relevant genes. Of 35 patients in the baseline cohort, patients with TP53 mutations (P < 0.01), or CTCF/GNAS mutations (P < 0.01) displayed inferior disease‐free survival, and patients harboring TP53 (P = 0.06) or NOTCH1 (P = 0.06) mutations showed relatively poor overall survival (OS), compared to patients with wild‐type counterparts. Of the 59 patients with serial plasma samples, 11 patients who were newly detected with TP53 mutations had worse OS than patients whose TP53 mutational status remained negative (P < 0.01). These results indicate that an inferior prognosis of advanced breast cancer was potentially associated with baseline TP53, CTCF, and NOTCH1 alterations. Newly identified TP53 mutations after relapse and/or metastasis was another potential prognostic biomarker of poor prognosis.

Potential epigenetic modifications implicated in triple- to quadruple-negative breast cancer transition: a review

Current research on triple-negative breast cancer (TNBC) has resulted in delineation into the quadruple-negative breast cancer (QNBC) subgroup. Epigenetic modifications such as DNA methylation, histone posttranslational modifications and associated changes in chromatin architecture have been implicated in breast cancer pathogenesis. Herein, the authors highlight genes with observed epigenetic modifications that are associated with more aggressive TNBC/QNBC pathogenesis and possible interventions. Advanced literature searches were done on PubMed/MEDLINE, Scopus and Google Scholar. The results suggest that nine epigenetically altered genes/differentially expressed proteins in addition to the downregulated androgen receptor are associated with TNBC aggressiveness and could be implicated in the TNBC to QNBC transition. Thus, restoring the normal expression of these genes via epigenetic reprogramming could be therapeutically beneficial to TNBC and QNBC patients.

Association Between Tumor Mutation Profile and Clinical Outcomes Among Hispanic-Latino Patients With Metastatic Colorectal Cancer

In the United States, CRC is the third most common type of cancer and the second leading cause of cancer-related death. Although the incidence of CRC among the Hispanic population has been declining, recently, a dramatic increase in CRC incidents among HL younger than 50 years of age has been reported. The incidence of early-onset CRC is more significant in HL population (45%) than in non-Hispanic Whites (27%) and African-Americans (15%). The reason for these racial disparities and the biology of CRC in the HL are not well understood. We performed this study to understand the biology of the disease in HL patients. We analyzed formalin-fixed paraffin-embedded tumor tissue samples from 52 HL patients with mCRC. We compared the results with individual patient clinical histories and outcomes. We identified commonly altered genes in HL patients (APC, TP53, KRAS, GNAS, and NOTCH). Importantly, mutation frequencies in the APC gene were significantly higher among HL patients. The combination of mutations in the APC, NOTCH, and KRAS genes in the same tumors was associated with a higher risk of progression after first-line of chemotherapy and overall survival. Our data support the notion that the molecular drivers of CRC might be different in HL patients.

PIK3CA mutation confers resistance to chemotherapy in triple-negative breast cancer by inhibiting apoptosis and activating the PI3K/AKT/mTOR signaling pathway

Background

Triple-negative breast cancer (TNBC) is a malignant subtype of breast cancer, the main treatments for which are chemotherapy and surgery. PIK3CA is an oncogene that encodes the p110α subunit of class IA PI3K to regulate cell proliferation and apoptosis. Some reports have observed neoadjuvant chemotherapy (NAC) to have poor pathological complete response (pCR) rates in TNBC with PIK3CA mutation. This study aimed to explore the mechanism of how mutant PIK3CA alters chemotherapeutic susceptibility in TNBC.

Methods

TNBC cell lines (MDA-MB-231 and MDA-MB-468) with PIK3CA gene mutations (E545K and H1047R regions) and overexpression were established by transfection. NOD/SCID mice were used for in vivo experiments. Epirubicin was used as the chemotherapeutic agent. Cell viability, cell cycle, apoptosis, and Transwell assays were conducted for phenotype analysis. Western blot, quantitative reverse transcription-polymerase chain reaction, and immunohistochemistry were used to detect gene and protein expression levels. A clinical analysis of 50 patients with TNBC was also performed.

Results

Cell viability and Transwell assays showed that PIK3CA mutation promoted TNBC cell growth and conferred an enhanced migratory phenotype. Cell cycle and apoptosis assays showed that PIK3CA mutation moderately improved the proliferation ability of TNBC cells and remarkably inhibited their apoptosis. After epirubicin therapy, the proportion of early apoptotic cells decreased among cells with PIK3CA mutation. Further, xenograft tumors grew faster in NOD/SCID mice injected with mutated cell lines than in control group, suggesting that PIK3CA mutation caused chemotherapy resistance. Importantly, western blot and immunohistochemical analysis showed that cells and mouse tumors in the PIK3CA mutation groups exhibited different expression levels of apoptosis-related markers (Xiap, Bcl-2, and Caspase 3) and proteins associated with the PI3K/AKT/mTOR pathway (p110α, AKT, p-AKT, mTOR, p-mTOR, p-4E-BP1, p-p70S6K, and Pten). Moreover, prognostic analysis of 50 patients with TNBC indicated that PIK3CA mutation might be linked with relapse and death.

Conclusions

PIK3CA mutation confers resistance to chemotherapy in TNBC by inhibiting apoptosis and activating the PI3K/AKT/mTOR signaling pathway.

Context Matters: NOTCH Signatures and Pathway in Cancer Progression and Metastasis

The Notch signaling pathway is a critical player in embryogenesis but also plays various roles in tumorigenesis, with both tumor suppressor and oncogenic activities. Mutations, deletions, amplifications, or over-expression of Notch receptors, ligands, and a growing list of downstream Notch-activated genes have by now been described for most human cancer types. Yet, it often remains unclear what may be the functional impact of these changes for tumor biology, initiation, and progression, for cancer therapy, and for personalized medicine. Emerging data indicate that Notch signaling can also contribute to increased aggressive properties such as invasion, tumor heterogeneity, angiogenesis, or tumor cell dormancy within solid cancer tissues; especially in epithelial cancers, which are in the center of this review. Notch further supports the “stemness” of cancer cells and helps define the stem cell niche for their long-term survival, by integrating the interaction between cancer cells and the cells of the tumor microenvironment (TME). The complexity of Notch crosstalk with other signaling pathways and its roles in cell fate and trans-differentiation processes such as epithelial-to-mesenchymal transition (EMT) point to this pathway as a decisive player that may tip the balance between tumor suppression and promotion, differentiation and invasion. Here we not only review the literature, but also explore genomic databases with a specific focus on Notch signatures, and how they relate to different stages in tumor development. Altered Notch signaling hereby plays a key role for tumor cell survival and coping with a broad spectrum of vital issues, contributing to failed therapies, poor patient outcome, and loss of lives.

MALAT-1: LncRNA ruling miR-182/PIG-C/mesothelin triad in triple negative breast cancer

Breast cancer (BC) remains a major health problem, despite the remarkable advances in cancer research setting. BC is the most common cancer affecting women worldwide. In the context of triple negative breast cancer (TNBC) treatment, major obstacles include late diagnoses and detrimental side effects of chemotherapy and radiotherapy. Research effort was rewarded with the discovery of mesothelin (MSLN), an oncogenic Glycosyl-Phosphatidyl-Inositol (GPI) anchored protein, over-expressed in TNBC. GPI pathway is a post-translational modification that attaches proteins to cellular membrane. MSLN targeted therapy succeeded in early clinical trials, nevertheless, to date, the epigenetic regulation of MSLN and GPI pathway by non-coding RNAs (nc-RNAs) in BC remains an untouched area. Accordingly, our aim is to investigate-for the first time- the impact of simultaneous targeting of MSLN and its associated GPI pathway member, PIG-C, by non-coding-RNAs. Expression profiling of PIG-C, MSLN in BC was performed. Using bioinformatics tools, MALAT-1 and miR-182 were found to target MSLN and PIG-C. MDA-MB-231 cells were transfected with synthetic nc-RNAs. Expression profiling of MSLN, miR-182 and MALAT-1 showed a dramatic over-expression in BC samples. MiR-182 ectopic expression and MALAT-1 silencing increased MSLN and PIG-C transcript levels. However, miR-182 inhibition and miR-182/si-MALAT-1 co-transfection lowered MSLN and PIG-C levels. Finally, si-PIG-C decreased MSLN and PIG-C levels. To conclude, our investigation unravels a new axis in TNBC, where miR-182 can manipulate MSLN and PIG-C. Meanwhile, MALAT-1 is the culprit lncRNA in this novel axis, possibly a sponge for miR-182. Altogether, this sheds light on new targets for BC immune-therapy.