Triple-negative Breast Cancer Subtype Research Articles

Abstract 6620: PDX models of TNBC established from pre- and post-therapy tumors identify vulnerabilities of resistant disease

Abstract Chemotherapy, along with the PD1 inhibitor pembrolizumab, is the recommended standard of care for patients with primary triple negative breast cancer (TNBC). Nearly half of TNBC patients treated with standard neoadjuvant chemotherapy (NACT) have excellent responses. However, those patients with significant residual cancer burden (RCB) after NACT are at high risk of recurrence or metastatic relapse within two years. Due to the challenges posed by the inter- and intratumoral heterogeneity of TNBC, it is critical to develop appropriate models for predicting and overcoming therapy resistance. We established a collection of 92 orthotopic patient-derived xenograft (PDX) models of TNBC from 84 patients before, during, and after NACT while they were enrolled in the ARTEMIS trial (NCT02276443) at MD Anderson Cancer Center. Serial biopsies were obtained from patients prior to treatment (pre-NACT), from poorly responsive disease after four cycles of Adriamycin and cyclophosphamide (AC, mid-NACT), after a 3-month course of additional chemotherapy and/or different experimental therapies in cases of AC resistance (post-NACT), and from the metastatic lesions of two patients. The collection includes 12 longitudinal sets. Models were established from chemo-sensitive and -resistant tumors, but engraftment success was higher from those cancers that proved to be treatment resistant (RCB II/III). The PDX collection includes models encompassing a broad heterogeneity of chemotherapy responses, histologic features, and molecular TNBC subtypes. In addition, the majority of models develop spontaneous lung metastases. Whole exome sequencing demonstrated conservation of mutations between patient tumors and corresponding PDX models, with TP53 being the most commonly mutated gene. A similar comparison of patient and PDX transcriptomes revealed conservation of signaling pathway signatures, with those related to immune and stromal interactions being the most variable, as anticipated when adapting human tumors to growth in mice. The subclonal architecture of the tumors exhibited little overall change throughout NACT, suggesting that selection for resistant subclones is not likely to be a significant contributor to resistance. Tumor cells from the longitudinal PDX collections were subjected to high throughput drug susceptibility profiling to identify targetable vulnerabilities associated with resistance to NACT. We found that post-NACT tumors exhibited enhanced sensitivity to drugs targeting protein homeostasis pathways. Preclinical studies with pevonedistat validated the neddylation pathway as an effective target in chemoresistant TNBC. Citation Format: Amanda L. Rinkenbaugh, Yuan Qi, Reid T. Powell, Shirong Cai, Jiansu Shao, Faiza Baameur Hancock, Lei Guo, Xiaomei Zhang, Sabrina Jeter-Jones, Chunxiao Fu, Rebekah Gould, Jason B. White, Clifford Stephan, Gloria V. Echeverria, Peter J. Davies, Stacy Moulder, W. Fraser Symmans, Jeffrey T. Chang, Helen Piwnica-Worms. PDX models of TNBC established from pre- and post-therapy tumors identify vulnerabilities of resistant disease [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6620.

Abstract 1014: Disparities of triple negative breast cancer in Mississippi

Abstract Background: Triple-negative breast cancer (TNBC) accounts for about 10-15% of all breast cancers nationwide with disparities of incidence and outcomes among races, geographic locations, and other factors. This study is aimed to analyze the differences in the rate of TNBC, patient conditions at time of diagnosis, and death from TNBC among women in Mississippi. Methods: A retrospective study was conducted to serially review breast cancer cases diagnosed in the University of Mississippi Medical Center during May 2016 to May 2023. The entire breast cancer population was then stratified by race. The rate of TNBC, age and BMI at time of diagnosis, the rate of expiration were compared between African American (AA) and Caucasian American (CA) women with breast cancer. Two-tailed Student’s T-test was used to calculate the difference in mean values, and Chi-Square Test was used to compare the difference in rates or percentages. The significant p value was set at p<0.05. Results: In total 291 women with breast cancer, AA patients were 195 (67.01%), CA patients were 88 (30.24%), and other were 8 (2.75%). The mean age of all patients was 58.3 years-old (ranged 24-97). The mean BMI was 31.19. The patients with TNBC were 109 (37.46%) in entire studied population. A total of 32 (1.6%) patients, including 14 TNBC and 18 non-TNBC were expired with an average age of 61.84 and an average survival time of 20 months from diagnosis to expiration. As compared to CA patient population, AA breast cancer patients had onset at younger age (58.08±0.88 vs. 59.18±1.36), had a higher BMI (31.79±0.62 vs. 28.25±1.05, p=0.017), higher percentage of TNBC (41.54% vs. 30.68%, p=0.082 and OR=1.605), and higher rate of expiration (11.28% vs, 9.1%). Also, as compared to CA expired patients with breast cancer, AA expired patients had higher BMI (29.57 vs. 28.61), shorter survival time (17.5 months vs. 19.4 months), and died at younger age (61.84-year old vs. 66.38-year old) with a higher proportion of TNBC subtype (54.6% vs 12.5%, p=0.045, OR=9.6). Conclusions: Breast cancer is greatly disparate racially between AA and CA and geographically between Mississippi and US national average. The disparities are manifested in the proportion of TNBC subtype, age at onset of breast cancer, BMI at time of diagnosis, and death rate. Citation Format: Navdeep Kaur, Javaria A. Khan, Jinghe Mao, Diva Melvin, Muhammad M. Hassan, Xinchun Zho. Disparities of triple negative breast cancer in Mississippi [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1014.

Abstract 2521: New predictive markers for dasatinib responsiveness in triple-negative breast cancer: A biomarker discovery study

Abstract Triple negative breast cancer is the most heterogeneous and aggressive type of breast tumor type and is characterized by the lack of expression of clinical biomarkers (ER, PR, and HER2) and targeted therapies. In this regard, different clinical trials have failed, unable to stratify these patients to find an effective response to specific therapy. This study aimed to identify biomarkers exclusively expressed in the basal mammary compartment that can help us to subclassify the triple-negative breast cancer subtype. Based on computational analysis from single-cell RNA sequencing data, we have identified a list of basal identity-associated genes (BC-markers). Subsequent histological validation confirmed the expression pattern of these markers in a cohort of 50 samples, which has allowed us to stratify triple-negative breast cancer patients into BC-TNBC and luminal-like subtypes. Importantly, the expression of these markers correlated with poorer prognosis in TNBC patients. Functional analysis revealed that TAGLN played a significant role in cell proliferation and migration, potentially impacting tumor aggressiveness. Moreover, the expression of these BC-markers is associated with a mesenchymal phenotype which corresponds to the previously described Lehmannn’s mesenchymal-like signature. In this study, TAGLN appeared to influence dasatinib sensitivity, suggesting its potential as a predictive biomarker for dasatinib response in TNBC patients. Citation Format: Daniel Ortega-Álvarez, David Tebar, Marta Casado, Elena Castillo, Cristina Guardia, David Olivares-Osuna, Eva Musulén, Elisabetta Mereu, Ginés Luengo, Eva M. Galán-Moya, Veronica Rodilla. New predictive markers for dasatinib responsiveness in triple-negative breast cancer: A biomarker discovery study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2521.

Unveiling the relationship between WWOX and BRCA1 in mammary tumorigenicity and in DNA repair pathway selection

Breast cancer is the leading cause of cancer-related deaths in women worldwide, with the basal-like or triple-negative breast cancer (TNBC) subtype being particularly aggressive and challenging to treat. Understanding the molecular mechanisms driving the development and progression of TNBC is essential. We previously showed that WW domain-containing oxidoreductase (WWOX) is commonly inactivated in TNBC and is implicated in the DNA damage response (DDR) through ATM and ATR activation. In this study, we investigated the interplay between WWOX and BRCA1, both frequently inactivated in TNBC, on mammary tumor development and on DNA double-strand break (DSB) repair choice. We generated and characterized a transgenic mouse model (K14-Cre;Brca1fl/fl;Wwoxfl/fl) and observed that mice lacking both WWOX and BRCA1 developed basal-like mammary tumors and exhibited a decrease in 53BP1 foci and an increase in RAD51 foci, suggesting impaired DSB repair. We examined human TNBC cell lines harboring wild-type and mutant BRCA1 and found that WWOX expression promoted NHEJ repair in cells with wild-type BRCA1. Our findings suggest that WWOX and BRCA1 play an important role in DSB repair pathway choice in mammary epithelial cells, underscoring their functional interaction and significance in breast carcinogenesis.

Decoding gene regulatory circuitry underlying TNBC chemoresistance reveals biomarkers for therapy response and therapeutic targets

Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype characterised by extensive intratumoral heterogeneity, high rates of metastasis and chemoresistance, leading to poor clinical outcomes. Despite progress, the mechanistic basis of chemotherapy resistance in TNBC patients remains poorly understood. Here, leveraging single-cell transcriptome datasets of matched longitudinal TNBC chemoresponsive and chemoresistant patient cohorts, we unravel distinct cell subpopulations intricately associated with chemoresistance and the signature genes defining these populations. Notably, using genome-wide mapping of the H3K27ac mark, we show that the expression of these chemoresistance genes is driven via a set of TNBC super-enhancers and associated transcription factor networks across TNBC subtypes. Furthermore, genetic screens reveal that a subset of these transcription factors is essential for the survival of TNBC cells, and their loss increases sensitivity to chemotherapeutic agents. Overall, our study has revealed epigenetic and transcription factor networks underlying chemoresistance and suggests novel avenues to stratify and improve the treatment of patients with a high risk of developing resistance.

Heterogeneity of anoikis in triple-negative breast cancer subtyping and therapeutic implications

Heterogeneity of anoikis in triple-negative breast cancer subtyping and therapeutic implications

A novel tumor-associated neutrophil gene signature for predicting prognosis, tumor immune microenvironment, and therapeutic response in breast cancer

Tumor-associated neutrophils (TANs) can promote tumor progression. This study aimed to investigate the molecular signature that predict the prognosis and immune response of breast cancer (BRCA) based on TAN-related gene (TANRG) expression data. The RNA-seq data of BRCA were gathered from The Cancer Genome Atlas (TCGA) and gene expression omnibus (GEO) datasets. Univariate Cox regression analysis and the least absolute shrinkage and selection operator for selecting prognostic genes. A neo-TAN-related risk signature was constructed by multivariate Cox regression analysis. Time-dependent receiver operating characteristic (ROC) curve analyses and Kaplan–Meier analyses were performed to validate the signature in GEO cohorts and the triple-negative breast cancer (TNBC) subtype. We constructed an independent prognostic factor model with 11 TANRGs. The areas under the ROC curve (AUCs) of the TCGA training cohorts for 3-, 5-, and 7-year overall survival were 0.72, 0.73, and 0.73, respectively. The AUCs of the GEO test cohorts for 3-, 5-, and 7-year overall survival were 0.83, 0.89, and 0.94 (GSE25066) and 0.67, 0.69, and 0.73 (GSE58812), respectively. The proportion of immune subtypes differed among the different risk groups. The IC50 values differed significantly between risk groups and can be used as a guide for systemic therapy. The prognostic model developed by TANRGs has excellent predictive performance in BRCA patients. In addition, this feature is closely related to the prediction of survival, immune activity and treatment response in BRCA patients.

Comprehensive Analysis Identifies Variability in PI3K Pathway Alterations in Triple-Negative Breast Cancer Subtypes.

The PI3K pathway is frequently altered in triple-negative breast cancer (TNBC). Limited cell line and human data suggest that TNBC tumors characterized as mesenchymal (M) and luminal androgen receptor (LAR) subtypes have increased incidence of alterations in the PI3K pathway. The impact of PI3K pathway alterations across TNBC subtypes is poorly understood. Pretreatment tumor was evaluated from operable TNBC patients enrolled on a clinical trial of neoadjuvant therapy (NAT; A Robust TNBC Evaluation fraMework to Improve Survival [ClinicalTrials.gov identifier: NCT02276443]). Tumors were characterized into seven TNBC subtypes per Pietenpol criteria (basal-like 1, basal-like 2, immunomodulatory, M, mesenchymal stem-like, LAR, and unstable). Using whole-exome sequencing, RNA sequencing, and immunohistochemistry for PTEN, alterations were identified in 32 genes known to activate the PI3K pathway. Alterations in each subtype were associated with pathologic response to NAT. In evaluated patients (N = 177), there was a significant difference in the incidence of PI3K pathway alterations across TNBC subtypes (P < .01). The highest incidence of alterations was seen in LAR (81%), BL2 (79%), and M (62%) subtypes. The odds ratio for pathologic complete response (pCR) in the presence of PIK3CA mutation, PTEN mutation, and/or PTEN loss was highest in the LAR subtype and lowest in the M subtype, but these findings did not reach statistical significance. Presence of PIK3CA mutation was associated with pCR in the LAR subtype (P = .02). PI3K pathway alteration can affect response to NAT in TNBC, and targeted agents may improve outcomes, particularly in patients with M and LAR TNBC.

Different views of the pathway's impact on Chemoresistance and Relapse Advanced Breast Cancer and type 2 Diabetes Mellitus

Advanced breast cancer (ABC) with type 2 diabetes mellitus could be an uncommon, however profoundly forceful frame of breast cancer, which accounts for less than 5% of all locally progressed introductions. The clinical introduction of advanced breast cancer regularly contrasts altogether from that of non-advanced breast cancer; immunohistochemistry uncovers a few recognizing highlights. The more forceful triple-negative and HER2-positive breast cancer subtypes are overrepresented in advanced breast cancer compared to non-advanced breast cancer, with a poorer guess in reaction to routine treatments and plasma glucose level control with hyperglucosemia modification. Current understanding of breast tumor chemoresistance - breast cancers localized at essential breast areas and treated early can still relapse because of the presence of cancer cells and the change of cancer cells into a moderately forceful phenotype. This audit summarizes the current proof recommending that inflammatory signaling pathways are up-regulated, which may give a road for novel therapeutics against the background of diabetes. The part of the tumor microenvironment, through tumor-associated macrophages and infiltrating lymphocytes, is additionally examined, recommending that these tumors' outward variables may offer assistance in accounting for the contrasts in behavior between advanced breast cancer with high plasma glucose levels and non-advanced breast cancer. There are different novel treatment techniques currently underway in clinical trials; they require encouraging the improvement of preclinical models of this uncommon but forceful disease is vital.

Identification of Subtypes in Triple-negative Breast Cancer Based on Shared Genes Between Immunity and Cancer Stemness.

The correlation between triple-negative breast cancer (TNBC) and genes related to immunity and cancer stemness, particularly shared genes, remains unclear. This study aimed to investigate the correlation of immunity and cancer stemness with the molecular subtyping and survival rates in TNBC using bioinformatics approaches. Differential gene analysis was conducted to identify TNBC-associated differentially expressed genes (DEGs). Cancer stem cell (CSC)-related genes were obtained using weighted gene coexpression network analysis. Immune-related gene sets were retrieved from the literature. Venn analysis was performed to identify the shared DEGs between immunity and cancer stemness in TNBC. Cluster analysis and survival analysis based on the expression of these genes were conducted to identify TNBC subtypes with significant survival differences. A total of 5259 TNBC-associated DEGs, 2214 CSC-related genes, 1793 immune-related genes, and 44 shared DEGs between immunity and cancer stemness were obtained. Among them, 3 shared DEGs were closely associated with TNBC survival rates ( P <0.05). Cluster and survival analyses revealed that among 3 subtypes, cluster2 exhibited the best survival rate, and cluster3 showed the worst survival rate ( P <0.05). Dendritic cells were highly infiltrated in cluster2, while plasma cells and resting mast cells were highly infiltrated in cluster3 ( P <0.05). Genes shared by immunity and cancer stemness were capable of classifying TNBC samples. TNBC patients of different subtypes exhibited significant differences in immune profiles, genetic mutations, and drug sensitivity. These findings could provide new insights into the pathogenesis of TNBC, the immune microenvironment, and the selection of therapeutic targets for drug treatment.

Identification of CD160-TM as a tumor target on triple negative breast cancers: possible therapeutic applications

BackgroundDespite major therapeutic advances, triple-negative breast cancer (TNBC) still presents a worth prognosis than hormone receptors-positive breast cancers. One major issue relies in the molecular and mutational heterogeneity of TNBC subtypes that is reinforced by the absence of reliable tumor-antigen that could serve as a specific target to further promote efficient tumor cell recognition and depletion. CD160 is a receptor mainly expressed by NK lymphocytes and presenting two isoforms, namely the GPI-anchored form (CD160-GPI) and the transmembrane isoform (CD160-TM). While CD160-GPI is constitutively expressed on resting cells and involved in the generation of NK cells' cytotoxic activity, CD160-TM is neo-synthesized upon activation and promotes the amplification of NK cells' killing ability.MethodsCD160 expression was assessed by immunohistochemistry (IHC) and flow cytometry on TNBC patient biopsies or cell lines, respectively. Antibody (Ab)-mediated tumor depletion was tested in vitro by performing antibody-dependent cell cytotoxicity (ADCC) and phagocytosis (ADCP) assays, and in vivo on a TNBC mouse model.ResultsPreliminary data obtained by IHC on TNBC patients' tumor biopsies revealed an unconventional expression of CD160 by TNBC tumor cells. By using a specific but conformation-dependent anti-CD160-TM Ab, we established that CD160-TM, but not CD160-GPI, was expressed by TNBC tumor cells. A conformation-independent anti-CD160-TM mAb (22B12; muIgG2a isotype) was generated and selected according to pre-defined specificity and functional criterions. In vitro functional assays demonstrated that ADCC and ADCP could be induced in the presence of 22B12, resulting in TNBC cell line apoptosis. The ability of 22B12 to exert an in vivo anti-tumor activity was also demonstrated on a TNBC murine model.ConclusionsOur data identify CD160-TM as a tumor marker for TNBC and provide a rational for the use of anti-CD160-TM antibodies as therapeutic tools in this tumor context.

Long-chain noncoding RNA LINC01569 upregulates filamin A-interacting protein 1-like to prevent metastasis of triple-negative breast cancer via sponging miR-300.

Long-chain noncoding RNA (lncRNA), LINC01569, is important for regulating the extracellular matrix, which affects cell migration. However, its involvement in the occurrence and development of triple-negative breast cancer (TNBC) remains unclear. This study is aimed to investigate the role of LINC01569 on TNBC. Online database was used for clinical data analysis. Cell viability and migration capability were monitored using cell counting kit-8 and transwell assays, respectively. Luciferase reporter assay and RNA pull-down were used to confirm the binding capability between noncoding RNAs and filamin A-interacting protein 1-like (FILIP1L). Western blotting was used to determine the protein content. Compared with normal breast tissue, LINC01569 was significantly reduced in patients with TNBC subtype, and LINC01569 expression gradually decreased with the progression of tumor stage. Patients with TNBC with high lncRNA LINC01569 levels had a better prognosis than did patients with low LINC01569 levels. LINC01569 overexpression inhibited the migration capability, whereas siRNA-mediated LINC01569 downregulation promoted the migration capability in TNBC cells. Using ENCORI and lncRNA SNP online databases, miR-300 was screened as the potential sponge of LINC01569. The binding of LINC01569 to miR-300 was confirmed using the dual-luciferase reporter and RNA pull-down assays. miR-300 was negatively correlated with LINC01569, and miR-300 mimics eliminated the anti-proliferation and anti-migration effects of LINC01569 on TNBC cells. Additionally, FILIP1L was further verified as the downstream target of miR-300. miR-300 mimics blocked LINC01569 upregulation-mediated elevation of FILIP1L. Importantly, the anti-tumor effects mediated by LINC01569 overexpression were abolished by miR-300 mimics and further restored by FILIP1L upregulation. LINC01569 was expressed at a low level in TNBC and could sponge miR-300 to promote FILIP1L expression, reducing the proliferation and metastasis capability of TNBC. Thus, LINC01569 might be a useful biomarker in the diagnosis and prognosis of metastatic TNBC.

ID4-dependent secretion of VEGFA enhances the invasion capability of breast cancer cells and activates YAP/TAZ via integrin β3-VEGFR2 interaction

Understanding the mechanisms of breast cancer cell communication underlying cell spreading and metastasis formation is fundamental for developing new therapies. ID4 is a proto-oncogene overexpressed in the basal-like subtype of triple-negative breast cancer (TNBC), where it promotes angiogenesis, cancer stem cells, and BRACA1 misfunction. Here, we show that ID4 expression in BC cells correlates with the activation of motility pathways and promotes the production of VEGFA, which stimulates the interaction of VEGFR2 and integrin β3 in a paracrine fashion. This interaction induces the downstream focal adhesion pathway favoring migration, invasion, and stress fiber formation. Furthermore, ID4/ VEGFA/ VEGFR2/ integrin β3 signaling stimulates the nuclear translocation and activation of the Hippo pathway member’s YAP and TAZ, two critical executors for cancer initiation and progression. Our study provides new insights into the oncogenic roles of ID4 in tumor cell migration and YAP/TAZ pathway activation, suggesting VEGFA/ VEGFR2/ integrin β3 axis as a potential target for BC treatment.

Abstract A006: Spatial localization of Caveolin-1 protein in triple negative breast cancer is related to different molecular features

Abstract Background: Triple negative breast cancer (TNBC) is an aggressive and heterogeneous form of breast cancer with few targeted therapies and clinically used biomarkers. Caveolin-1 (CAV1) is a marker of stromal activation and vascularization. Molecular features of the tumor microenvironment (TME), important for tumor metastasis, may improve precision oncology in TNBC. CAV1 protein levels have previously been reported as a potential biomarker in breast cancer depending on their localization. Therefore, we aimed to investigate CAV1 protein levels in malignant and stromal cells of TNBC and their relation to CAV1 gene expression, clinicopathological factors, and molecular features. Methods: Tumor-specific CAV1 protein levels were evaluated with immunohistochemistry in malignant and stromal cells in tumor tissue microarrays from a cohort of 242 TNBC patients (inclusion 2010-2015, Sweden) from SCAN-B (NCT03758976). The protein levels of CAV1 in malignant and stromal cells were dichotomized as ‘strong’ (1) vs ‘negative to moderate’ (0) The CAV1 categories in malignant and stromal cells, respectively, were combined to create a joint CAV1 status with four categories: malignant/stromal cells, 0/0, 0/1, 1/0, and 1/1. Gene expression profiles from massive parallel paired-end sequencing of mRNA (RNA-seq) were available for all the tumors and from which PAM50 category and TNBC subtype were assigned. CAV1 status in malignant and stromal cells in relation to clinicopathological factors was analyzed using Chi-Square test. CAV1 mRNA expression in relation to CAV1 status in malignant and stromal cells was evaluated using Kruskal-Wallis test. Results: CAV1 status could be evaluated in 231/242 tumors. Strong CAV1 staining in malignant cells was associated with higher histological grade but no axillary lymph node involvement (both P &amp;lt;0.007). In contrast, strong CAV1 staining in stromal cells was associated with lower histological grade but axillary lymph node involvement (both P &amp;lt;0.001). Strong CAV1 staining in stromal cells was also associated with higher age at diagnosis (P =0.025). With regards to PAM50 subtypes, CAV1 in malignant cells was positively associated with the basal subtype while CAV1 in malignant cells was positively associated with the HER2 enriched subtype (P &amp;lt;0.001). Depending on localization, CAV1 expression was associated with different TNBCsubtypes. CAV1 in malignant cells was positively associated with the mesenchymal and negatively associated with the immunomodulatory subtype (P &amp;lt;0.001). CAV1 in stromal cells was positively associated with the luminal androgen (LAR) subtype (P &amp;lt;0.001). Neither CAV1 protein levels in malignant cells nor in stromal cells were correlated with CAV1 gene expression in the tumors, and the combined CAV1 status was not associated with CAV1 gene expression. Conclusion: CAV1 protein levels in malignant cells were related to different molecular features of TNBC compared to CAV1 protein levels in stromal cells. The results suggest that depending on localization, CAV1 protein levels function as two distinct biomarkers. Citation Format: Christopher Godina, Somayeh Khazaei, Mattias Belting, Johan Vallon-Christersson, Björn Nodin, Karin Jirström, Karolin Isaksson, Ana Bosch, Helena Jernström. Spatial localization of Caveolin-1 protein in triple negative breast cancer is related to different molecular features [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Breast Cancer Research; 2023 Oct 19-22; San Diego, California. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_1):Abstract nr A006.

A Pilot Study on BRCA1/2 and PI3K Mutations Across Subtypes of Triple Negative Breast Cancer in North Indian Population.

BRCA1/2 are tumor suppressor genes which regulate the DNA repair mechanism. Mutations in BRCA1/2 may increase the risk of breast cancer in patients. In the present study frequency of BRCA1/2 mutations in triple negative breast cancer (TNBC) patients was assessed and correlated with molecular subtypes of TNBC. Blood samples from 65 confirmed cases of TNBC were collected. DNA was isolated from whole blood and libraries were prepared using a BRCA1/2 custom panel. Sequencing was done on Ion torrent S5 sequencer and ion reporter was used for data analysis. Further molecular subtyping of mutation positive TNBC cases was done using immunohistochemistry markers CK5/6; CK4/14; Vimentin and E-Cadherin and androgen receptor (AR) using tissue microarray. Twenty five of 65 patients had heterozygous pathogenic mutations, alterations with conflicting interpretation of pathogenicity, variants of uncertain significance and variants of unknown significance. Nine patients had pathogenic mutation in BRCA 1 gene only and 2 patients had pathogenic mutations in BRCA2 gene. Two patients were transheterozygous for BRCA mutations, that is, had pathogenic mutations in both BRCA1/2 genes simultaneously and 5 were compound heterozygous (involving BRCA2 gene in all the cases). Prevalent subtypes among BRCA positive cases were unclassified subtype (n=4, 33%), Basal like (n=5, 41%), and mesenchymal subtype (n=3, 25%). None of the LAR subtype showed BRCA1/2 mutations. The present study observed that the BRCA1 mutation is more frequent than BRCA2 mutation in TNBC. BRCA1/2 mutations do not correspond to BRCAness or basal phenotype. Considering high incidence of breast cancer and lack of correlation of basal morphology with BRCA1/2 mutation, the molecular methods should be used for screening for BRCA1/2 mutations. This will not only help in familial screening but also in deciding targeted therapy with PARP (poly-ADP ribose polymerase) inhibitors.

Integrated Proteogenomic Analysis Reveals Distinct Potentially Actionable Therapeutic Vulnerabilities in Triple-Negative Breast Cancer Subtypes

Triple-negative breast cancer (TNBC) is characterized by an aggressive clinical presentation and a paucity of clinically actionable genomic alterations. Here, we utilized the Cancer Genome Atlas (TCGA) to explore the proteogenomic landscape of TNBC subtypes to see whether genomic alterations can be inferred from proteomic data. We found only 4% of the protein level changes are explained by mutations, while 21% of the protein and 35% of the transcriptomics changes were determined by copy number alterations (CNAs). We found tighter coupling between proteome and genome in some genes that are predicted to be the targets of drug inhibitors, including CDKs, PI3K, tyrosine kinase (TKI), and mTOR. The validation of our proteogenomic workflow using mass spectrometry Clinical Proteomic Tumor Analysis Consortium (MS-CPTAC) data also demonstrated the highest correlation between protein–RNA–CNA. The integrated proteogenomic approach helps to prioritize potentially actionable targets and may enable the acceleration of personalized cancer treatment.

Androgen and Estrogen β Receptor Expression Enhances Efficacy of Antihormonal Treatments in Triple-Negative Breast Cancer Cell Lines.

The triple-negative breast cancer (TNBC) subtype is characterized by the lack of expression of ERα (estrogen receptor α), PR (progesterone receptor) and no overexpression of HER-2. However, TNBC can express the androgen receptor (AR) or estrogen receptor β (ERβ). Also, TNBC secretes steroid hormones and is influenced by hormonal fluctuations, so the steroid inhibition could exert a beneficial effect in TNBC treatment. The aim of this study was to evaluate the effect of dutasteride, anastrozole and ASP9521 in in vitro processes using human TNBC cell lines. For this, immunofluorescence, sensitivity, proliferation and wound healing assays were performed, and hormone concentrations were studied. Results revealed that all TNBC cell lines expressed AR and ERβ; the ones that expressed them most intensely were more sensitive to antihormonal treatments. All treatments reduced cell viability, highlighting MDA-MB-453 and SUM-159. Indeed, a decrease in androgen levels was observed in these cell lines, which could relate to a reduction in cell viability. In addition, MCF-7 and SUM-159 increased cell migration under treatments, increasing estrogen levels, which could favor cell migration. Thus, antihormonal treatments could be beneficial for TNBC therapies. This study clarifies the importance of steroid hormones in AR and ERβ-positive cell lines of TNBC.

Prognostic Markers in Tyrosine Kinases Specific to Basal-like 2 Subtype of Triple-Negative Breast Cancer.

Triple-negative breast cancer (TNBC), a heterogeneous and therapeutically challenging subtype, comprises over 50% of patients categorized into basal-like 1 (BL1) and basal-like 2 (BL2) intrinsic molecular subtypes. Despite their shared basal-like classification, BL2 is associated with a poor response to neoadjuvant chemotherapy and reduced relapse-free survival compared to BL1. Here, the study focused on identifying subtype-specific markers for BL2 through transcriptomic analysis of TNBC patients using RNA-seq and clinical integration. Six receptor tyrosine kinase (TK) genes, including EGFR, EPHA4, EPHB2, PDGFRA, PDGFRB, and ROR1, were identified as potential differentiators for BL2. Correlations between TK mRNA expression and TNBC prognosis, particularly EGFR, PDGFRA, and PDGFRB, revealed potential synergistic interactions in pathways related to cell survival and proliferation. Our findings also suggest promising dual markers for predicting disease prognosis. Furthermore, RT-qPCR validation demonstrated that identified BL2-specific TKs were expressed at a higher level in BL2 than in BL1 cell lines, providing insights into unique characteristics. This study advances the understanding of TNBC heterogeneity within the basal-like subtypes, which could lead to novel clinical treatment approaches and the development of targeted therapies.

Incidence and Prognostic Significance of Androgen Receptors (AR) in Indian Triple-Negative Breast Cancer (TNBC).

Molecular sub-characterization of triple-negative breast cancer (TNBC) has great therapeutic and possibly prognostic implications. The primary aim of this study was to investigate the incidence of luminal androgen receptor (LAR)subtype of TNBC and secondary aims were sub-categorization and clinico-pathologic correlation of LAR breast cancers.Retrospective study (January 2008 and 31st of December 2018) consisting of 157 TNBC patients. Androgen receptor (AR) expression was measured by immunohistochemical analysis. One percent cutoff was set as a positive expression. Sub-categorization was done on the basis of EGFR (> 15% of tumor cells) and Ki-67 expression (low- < 11%, intermediate- 11-20%, and high- > 21%). AR expression was correlated with various clinico-pathologic features and outcomes of the patients.The incidence of AR expression in TNBC was 24.8%. Considering different thresholds of > 5%, > 10%, and > 20% immunostaining, the incidence of AR positivity was 18.4, 15.2, and 11.5% respectively. The incidence of Ki-67 (p = 0.89) and EGFR (p = 0.643) expression did not differ significantly in AR-positive and -negative TNBC. Based on EGFR expression 19, 67 and 14% patients were categorized as low, intermediate, and high risk respectively. Low-risk (p ≤ 0.001) and low-grade (p = 0.014) tumors were more likely to have > 10% AR expression. Clinico-pathological profile, response to neoadjuvant chemotherapy, disease-free survival (p = 0.458), and overall survival (p = 0.806) did not significantly differ between AR expressing and negative TNBC. On multivariate analysis, only tumor staging was a significant predictor of survival (p = 0.012) and AR expression of > 10% revealed a trend towards improved survival (p = 0.07). When considering only AR-positive TNBC, AR expression of > 10% (p = 0.038), distant metastases (p = 0.003), and EGFR status (p = 0.024) were significantly associated with survival.AR expression does not seem to very strongly correlate with prognosis in TNBC and further studies could focus more on its predictive role in deciding anti-androgen therapy.

Developing therapies for triple-negative breast cancer subtypes

Developing therapies for triple-negative breast cancer subtypes