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Bainbridge, M.

Publications and source records attributed to Bainbridge, M..

3 recordsLinked to original sources

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↗

Rapid Whole Genome Sequencing Decreases Morbidity and Healthcare Cost of Hospitalized Infants

BACKGROUNDGenetic disorders are a leading cause of morbidity and mortality in infants. Rapid Whole Genome Sequencing (rWGS) can diagnose genetic disorders in time to change acute medical or surgical management (clinical utility) and improve outcomes in acutely ill infants.\n\nMETHODSRetrospective cohort study of acutely ill inpatient infants in a regional childrens hospital from July 2016-March 2017. Forty-two families received rWGS for etiologic diagnosis of genetic disorders. Probands received standard genetic testing as clinically indicated. Primary end-points were rate of diagnosis, clinical utility, and healthcare utilization. The latter was modelled in six infants by comparing actual utilization with matched historical controls and/or counterfactual utilization had rWGS been performed at different time points.\n\nFINDINGSThe diagnostic sensitivity was 43% (eighteen of 42 infants) for rWGS and 10% (four of 42 infants) for standard of care (P=.0005). The rate of clinical utility for rWGS (31%, thirteen of 42 infants) was significantly greater than for standard of care (2%, one of 42; P=.0015). Eleven (26%) infants with diagnostic rWGS avoided morbidity, one had 43% reduction in likelihood of mortality, and one started palliative care. In six of the eleven infants, the changes in management reduced inpatient cost by $800, 000 to $2,000,000.\n\nDISCUSSIONThese findings replicate a prior study of the clinical utility of rWGS in acutely ill inpatient infants, and demonstrate improved outcomes and net healthcare savings. rWGS merits consideration as a first tier test in this setting.

clinical trials↗