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Biology subjects

Haricharan, S.

Publications and source records attributed to Haricharan, S..

5 recordsLinked to original sources

The impact of patient biology on racial disparities in breast cancer outcome

Hormone receptor positive (HR+) breast cancer is the most common subtype of breast cancer diagnosed globally. Despite effective targeted therapies, HR+ breast cancer remains a leading cause of cancer-related death in women. Long-standing epidemiological research identifies significantly worse outcomes for Black women diagnosed with HR+ breast cancer relative to White women. While structural factors such as access to healthcare and education level contribute to this outcome disparity, it persists even in analyses where these factors are controlled. In-depth analyses of the somatic molecular biology that may underlie these outcome disparities are hampered by a lack of datasets that represent Black patient populations. Here, we generate a HR+ breast cancer patient transcriptomic dataset that overrepresents Black women and controls for access to healthcare and education level. We find that signatures relating to the tumor microenvironment, i.e. collagen deposition and prognostically unfavorable T-cell landscapes are enriched in HR+ tumors from Black women. Importantly, we find, using experimental model systems in vitro and in vivo, that race-aligned collagen deposition patterns are at least partially attributable to tumor cell-intrinsic signaling and critical for Black breast cancer metastasis. We also find that unfavorable T-cell signatures in HR+ tumors from Black women, which have previously been attributed to race and ancestry, are more strongly poverty-aligned. Using multiple independent datasets, we identify STAT4 as a potential master regulator of this poverty-associated tumor immune signature. Together, these findings provide new evidence that somatic molecular biology of breast cancer patients can be modified by multiple structural factors such as self-identified race and poverty burden to promote poor patient outcomes. Integrating an understanding of structural factors into molecular cancer research is critical for implementing truly personalized, and maximally effective, oncology systems.

cancer biology↗

Aberrant subcellular localization of mismatch repair protein MLH1 dysregulates the cell cycle to create new therapeutic opportunities

Estrogen receptor positive (ER+) breast cancer is one of the most common causes of cancer-related death in women. Mortality is largely driven by recurrence of treatment-resistant disease after many years of apparent response, making the molecular events that cause recurrence a critical area of investigation. Loss of expression of MLH1, a tumor suppressor best studied in its role in mismatch repair, induces resistance of ER+ breast cancer cells to standard estrogen-targeting therapies. It does so by delinking cell cycle progression from estrogen regulation, a role distinct from its function in mismatch repair. MLH1 loss, as currently clinically diagnosed by detecting genomic instability or by immunohistochemistry for absence of protein, occurs in 12-15% of all cancers. Here, we demonstrate that sub-clonal, patient-derived mutations in MLH1, which neither impact protein abundance nor contribute sufficiently to genomic instability to be detected diagnostically, seed endocrine treatment resistance by enabling estrogen-independent growth in vitro, ex vivo in patient-derived organoids (p=0.005) and in vivo (p=0.0001). The mechanism underlying this endocrine treatment resistance is aberrant localization of MLH1 to the cytoplasm in vitro and in vivo (p=0.04), which precludes cell cycle arrest in response to endocrine therapy while simultaneously rendering cells acutely dependent on CDK4/6 activity. Consequently, administration of CDK4/6 inhibitors causes extreme regression in cells with cytoplasmic MLH1 compared to control cell populations with nuclear localization of MLH1 in vitro (p=0.00000009), ex vivo (p=0.01) and in vivo (p=0.01). As aberrant cytoplasmic localization occurs in an additional [~]12% of ER+ breast cancer patients, it constitutes a new, major contributor to MLH1 dysregulation. The potential applicability of cytoplasmic MLH1 as a predictor of responsiveness to existing targeted therapies in a hard-to-treat breast cancer subtype posits an update of current clinical diagnostic criteria and therapeutic strategies. This is particularly important in the adjuvant setting where identification of biomarkers predicting responsiveness to CDK4/6 inhibitors remains an urgent, unmet clinical need.

cancer biology↗

Impact of germline and somatic cell cycle checkpoint kinase mutations on breast cancer presentation and prognosis.

Cell cycle dysregulation is prerequisite for cancer formation. However, it is unknown whether the mode of dysregulation affects disease characteristics. Here, we conduct comprehensive analyses of cell cycle checkpoint dysregulation events in breast cancer using patient data complemented by experimental investigations in multiple model systems: genetically-engineered mice, patient-derived xenografts, biomatrices, and cell lines. We find that ATM mutation predisposes the diagnosis of primary estrogen receptor (ER)+/human epidermal growth factor (HER)2- cancer in older women. Conversely, CHK2 dysregulation induces formation of metastatic, premenopausal ER+/HER2- breast cancer (p=0.001) that is treatment-resistant (HR=6.15, p=0.01). Lastly, while mutations in ATR alone are rare, ATR/TP53 co-mutation is 12-fold enriched over expected in ER+/HER2- disease (p=0.002) and associates with metastatic progression (HR=2.01, p=0.006). Concordantly, ATR dysregulation induces metastatic phenotypes in TP53 mutant, but not wild-type, cells. These results newly identify a role for distinct cell cycle dysregulation events in determining cancer subtype, metastatic potential, and treatment responsiveness. Statement of SignificanceThese findings reframe the paradigm of cancer classification by demonstrating that cell cycle dysregulation decisions during malignant transformation can causally direct the type of cancer that evolves, its metastatic potential, and treatment responsiveness. These results provide rationale for delineating mode of checkpoint kinase dysregulation to improve diagnostic and therapeutic choices.

bioinformatics↗

Race specific differences in DNA damage repair dysregulation in breast cancer and association with outcome

IMPORTANCEAfrican American (AA) breast cancer patients have worse outcomes than Caucasian Americans (CAs). DNA damage repair (DDR) genes drive poor outcome in CA estrogen receptor (ER)+ breast cancer patients. Whether DDR genes similarly impact survival in AAs is unknown. Identifying AA-specific patterns of DDR dysregulation could change how we tailor predictive/prognostic biomarkers. OBJECTIVETo characterize DDR dysregulation in ER+ AA patient tumors and test associations with clinical outcome. DESIGN SETTINGS AND PARTICIPANTSThree independent tumor, and two normal breast datasets were analyzed. Tumor datasets: (1) GSE78958 (2) GSE18229 (3) The Cancer Genome Atlas (TCGA). Normal datasets: (4) GSE43973 (5) GSE50939. MAIN OUTCOME AND MEASURESUp/down-regulation of 104 DDR genes was assessed in AA samples vs CAs. Survival associations were assessed for genes dysregulated in multiple datasets. RESULTSOverall, RNA levels of single strand break repair (SSBR) genes were downregulated in AA tumors and double strand break repair (DSBR) genes were upregulated compared to CAs. While SSBR downregulation was mainly detected in tumors, DSBR upregulation was detectable in both tumor and normal breast AA samples. Seven specific DDR genes identified as dysregulated in AAs vs CAs in multiple datasets associated with poor survival. A subset of tumors with simultaneous dysregulation of homologous recombination and single strand break repair genes was enriched in AAs and had associated consistently with poor survival. CONCLUSION AND RELEVANCEOverall, these results constitute the first systematic analysis of differences in DDR regulation in AA ER+ tumors and normal tissue vs CAs. We identify a profile of DDR dysregulation enriched in AA patients, which associates with poor outcome. These results suggest a distinct molecular mechanism of DDR regulation in AAs that lays the groundwork for refining biomarker profiles by race and improving precision medicine for underserved populations.

cancer biology↗

Mismatch repair deficiency predicts response to HER2 blockade in HER2-negative breast cancer

Estrogen receptor positive (ER+) breast cancer is a leading cause of cancer-related death globally. Resistance to standard of care endocrine treatment occurs in at least 30% of ER+ breast cancer patients resulting in ~40,000 deaths every year in the US alone. Preclinical studies strongly implicate activation of growth factor receptor, HER2 in endocrine treatment resistance of ER+ breast cancer that is HER2- at diagnosis1,2. However, clinical trials of pan-HER inhibitors in ER+/HER2- patients have disappointed, likely due to a lack of predictive biomarkers3-6. Here we demonstrate that loss of MLH1, a principal mismatch repair gene, causally activates HER2 in ER+/HER2- breast cancer upon endocrine treatment. Additionally, we show that HER2 activation is indispensable for endocrine treatment resistant growth of MLH1- cells in vitro and in vivo. Consequently, inhibiting HER2 restores sensitivity to endocrine treatment in multiple experimental models including patient-derived xenograft tumors. Patient data from multiple clinical datasets (TCGA, METABRIC, Alliance (Z1031) and E-GEOD-28826) supports an association between MLH1 loss, HER2 upregulation, and sensitivity to trastuzumab in endocrine treatment-resistant ER+/HER2- patients. These results provide strong rationale that MLH1 could serve as a first-in-class predictive marker of sensitivity to combinatorial treatment with endocrine drugs and HER inhibitors in endocrine treatment-resistant ER+/HER2- breast cancer patients. Implications of this study extend beyond breast cancer to Lynch Syndrome cancers. One Sentence SummaryDefective mismatch repair activates HER2 in HER2-negative breast cancer cells and renders them susceptible to HER2 inhibitors.

cancer biology↗