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Huang, R Stephanie

0000-0002-9862-0368

Mayo Clinic

Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota.

Citations 3

Germline–Somatic Interactions in BRCA-Associated Cancers: Unique Molecular Profiles and Clinical Outcomes Linking ATM to TP53 Synthetic Essentiality
Arafa, Ali T., Yadav, Siddhartha , Marshall, Catherine H. , Mauer, Elizabeth , Huang, Minxuan , Yilma, Binyam , Pol, Ymke van der , Fragkogianni, Stamatina , Teslow, Emily A. , Kellen, Samuel , Boytim, Ella , Luo, Christine , Ludwig, Megan , Jayaraj, Arockia, Armstrong, Deborah K. , Isaacs, William B. , Nguyen, Hai Dang , Huang, R. Stephanie , Dehm, Scott M. , Hwang, Justin H. , Arafa, Ali T. , Arafa, Ali , van der Pol, Ymke , Zhang, Weijie , Jayaraj, Arockia , Armstrong, Deborah K , Isaacs, William B , Drake, Justin M , Nguyen, Hai Dang , Huang, R Stephanie , Chao, Calvin Y. , Lou, Emil , Dehm, Scott M , Couch, Fergus J. , Hwang, Justin H , Antonarakis, Emmanuel S , Mauer, Elizabeth , Yadav, Siddhartha , Marshall, Catherine H , Teslow, Emily A , Fragkogianni, Stamatina , Lou, Emil , Couch, Fergus J. , Antonarakis, Emmanuel S.

Clinical Cancer Research | February 28, 2025 | Volume: 31 | Issue: 9 | Pages: 1730-1745

10.1158/1078-0432.ccr-24-2058 Get It

Abstract Purpose: Germline alterations in homologous recombination repair (gHRR) genes affect the pathogenesis, treatment options, and survival of patients with cancer. However, distinct gHRR gene alterations may differentially affect treatment response and oncogenic signaling. In this study, we interrogated genomic and transcriptomic data and assessed clinical outcomes of patients with gHRR mutations across four BRCA-associated cancers (breast, ovarian, pancreatic, and prostate cancers) to identify therapeutic vulnerabilities. Experimental Design: We assessed 24,309 patients undergoing matched tumor/normal next-generation DNA and RNA sequencing. Annotated gHRR gene variants [germline BRCA1, germline BRCA2, germline PALB2, germline ATM (gATM), and germline CHEK2] were analyzed. HRs were used to assess survival outcomes comparing germline versus sporadic groups. Somatic alterations and their frequencies were compared across gHRR-altered groups. Differential gene expression and gene set enrichment analysis were used to compare transcriptomic profiles. Results: Somatic TP53 mutations were depleted in gATM carriers (P < 0.05) across all four BRCA-associated cancers by up to 2.5-fold. Tumors with germline BRCA1/2 mutations were associated with improved survival in patients with ovarian cancer and had consistent enrichment of TP53 mutations in all four cancers. gATM mutations displayed elevated p53 transcriptional activity in all four cancers, with significance reached in breast and prostate cancers (P < 0.01). In breast, ovarian, and prostate cancers, gATM tumors demonstrated significantly increased inflammatory pathways (P < 0.001). Finally, using gene dependency data, we found that cell lines that were highly dependent on ATM were co-dependent on canonical p53 function. Conclusions: gATM-associated cancers seem to require intact p53 activity and this synthetic essentiality may be used to guide targeted therapies that perturb canonical TP53 function.
Platinum Sensitivity–Related Germline Polymorphism Discovered via a Cell-Based Approach and Analysis of Its Association with Outcome in Ovarian Cancer Patients
Huang, R. Stephanie , Johnatty, Sharon E. , Gamazon, Eric R. , Im, Hae Kyung , Ziliak, Dana, Zhang, Wei , Kistner, Emily O., Chen, Peixian , Beesley, Jonathan, Mi, Shuangli , O’Donnell, Peter H. , Fraiman, Yarden S. , Das, Soma , Cox, Nancy J. , Lu, Yi , MacGregor, Stuart , Goode, Ellen L. , Vierkant, Robert A. , Høgdall, Estrid , Kjær, Susanne K. , Jensen, Allan , Moysich, Kirsten B., Grasela, Matthew, Odunsi, Kunle , Brown, Robert , Paul, Jim, Lambrechts, Diether , Despierre, Evelyn, Vergote, Ignace , Gross, Jenny , DeFazio, Anna , Chenevix‐Trench, Georgia , Dolan, M. Eileen , Lambrechts, Diether , Duan, Shiwei , Fridley, Brooke L. , Paul, Jim, Karlan, Beth Y. , Fazio, Anna de , Lambrechts, Diether , Kjaer, Susanne K , Jensen, Allan , Vierkant, Robert A , Moysich, Kirsten , Brown, Robert , Lambrechts, Diether , Lu, Yi , MacGregor, Stuart , Chenevix-Trench, Georgia , Høgdall, Estrid , Huang, R Stephanie , Im, H K

Clinical Cancer Research | June 25, 2011 | Volume: 17 | Issue: 16 | Pages: 5490-5500

10.1158/1078-0432.ccr-11-0724 Get It

Abstract Purpose: Cell-based approaches were used to identify genetic markers predictive of patients' risk for poor response prior to chemotherapy. Experimental Design: We conducted genome-wide association studies (GWAS) to identify single-nucleotide polymorphisms (SNP) associated with cellular sensitivity to carboplatin through their effects on mRNA expression using International HapMap lymphoblastoid cell lines (LCL) and replicated them in additional LCLs. SNPs passing both stages of the cell-based study were tested for association with progression-free survival (PFS) in patients. Phase 1 validation was based on 377 ovarian cancer patients receiving at least four cycles of carboplatin and paclitaxel from the Australian Ovarian Cancer Study (AOCS). Positive associations were then assessed in phase 2 validation analysis of 1,326 patients from the Ovarian Cancer Association Consortium and The Cancer Genome Atlas. Results: In the initial GWAS, 342 SNPs were associated with carboplatin-induced cytotoxicity, of which 18 unique SNPs were retained after assessing their association with gene expression. One SNP (rs1649942) was replicated in an independent LCL set (Bonferroni adjusted P < 0.05). It was found to be significantly associated with decreased PFS in phase 1 AOCS patients (Pper-allele = 2 × 10−2), with a stronger effect in the subset of women with optimally debulked tumors (Pper-allele = 4 × 10−3). rs1649942 was also associated with poorer overall survival in women with optimally debulked tumors (Pper-allele = 9 × 10−3). However, this SNP was not significant in phase 2 validation analysis with patients from numerous cohorts. Conclusion: This study shows the potential of cell-based, genome-wide approaches to identify germline predictors of treatment outcome and highlights the need for extensive validation in patients to assess their clinical effect. Clin Cancer Res; 17(16); 5490–500. ©2011 AACR.