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4203 citation(s) found for "Yu, Chen".

Abstract IA22: Mammographic density: A risk factor for all breast cancers or only specific subtypes?
Vachon, Celine M. , Chen, Yunn‐Yi , Jensen, Matthew R. , Visscher, Daniel W., Shepherd, John, Fan, Bo , Wu, Fangfang , Beck, Andrew H. , Cummings, Steve, Vachon, Celine M. , Tamimi, Rulla M. , Scott, Christopher G. , Bertrand, Kimberly A. , Norman, Aaron D. , Couch, Fergus J. , Wu, Fang-Fang, Pankratz, V. Shane , Kerlikowske, Karla

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | May 20, 2016 | Volume: 25 | Issue: 3_Supplement | Pages: IA22-IA22

10.1158/1538-7755.disp15-ia22 Get It

Abstract Gene expression profiling has identified molecular subtypes that classify invasive breast cancers into distinct categories that vary in their clinical behavior and response to treatment. These subtypes highlight the many possible biologically and clinically distinct types of breast cancer. Immunohistochemical (IHC) staining of tumor sections using antibody panels has been used as a surrogate for the molecular subtypes identified through gene expression profiling, resulting in a set of intrinsic molecular subtypes. Given the heterogeneity within breast cancer, one might expect that different risk factors influence specific subtypes of breast cancer through various etiologic pathways. We evaluated whether percent mammographic density (MD), the proportion of fibroglandular or white tissue on a mammogram and one of the strongest and most consistent risk factors for breast cancer, is associated equally with all intrinsic molecular subtypes. Data were pooled from six cohort or case-control studies including 3389 women with invasive breast cancer and 9860 without, who underwent screening mammography. Percent MD was assessed from digitized film-screen mammograms (for cases, at a median 4 years prior to diagnosis) using a computer-assisted threshold technique, and categorized as 0-10%, 11-25%, 26-50% and 51%+. Receptor status was abstracted from clinical pathology records and supplemented by IHC staining of tumor sections or microarrays. With estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor (HER2) information, we classified tumors into the intrinsic molecular subtypes: Luminal A ( ER+ and/or PR+ and HER2- and grade 1 or 2), Luminal B (ER+ and/or PR+ and HER2+ or Luminal A and grade 3), HER2 expressing (HER2+/ER-/PR-) and triple negative (ER-/PR-/HER2-). For cancers found to be triple negative (TN), we also stained for epidermal growth factor receptor (EGFR) and cytokeratins (CK) 5/6 to differentiate basal-like tumors (positive for EGFR and/or CK 5/6) from the unclassifieds (negative on both EGFR and CK 5/6). We used polytomous logistic regression to calculate the odds (OR) of each of the intrinsic subtypes of breast cancer by categories of percent MD, adjusting for age, BMI and study. Contrasts were constructed and tested within the polytomous model framework to investigate differences in the strength of association of percent MD across subtypes. On average, cases were slightly older (56.4 years [SD=11.3]) than controls (55.8 [10.9]). Of the 3389 invasive breast cancer cases, 2146 (63%) were classified as Luminal A, 709 (21%) as Luminal B, 169 (5%) as HER-2 expressing, and 365(11%) as triple negative (TN). Of the TN tumors, 203 had tumor tissue available and were evaluated for CK 5/6 and EGFR, with 167 (82%) classified as basal-like and 36 (18%) as unclassified. Percent (%) MD was associated with breast cancer risk across all intrinsic subtypes. For Luminal A, compared to women with 11-25% MD (reference), women with 0-10% MD had a reduced risk of breast cancer (OR=0.64 [95% confidence interval (CI): 0.55, 0.74]) while women with 26-50% MD had an OR=1.5 (1.3,1.7) and women with 51%+ MD had the highest risk, OR=2.4 (2.0, 2.8). Similar associations were seen for Luminal B, HER2 expressing, and TN across percent MD categories. The small differences among the percent MD-breast cancer associations observed for the different subtypes were not statistically significant, either when comparing the four (Luminal A, Luminal B, HER-2 expressing and TN; p=0.61) or five categories of subtypes (Luminal A, Luminal B, HER-2 expressing, basal-like, unclassified; p=0.66). Our results suggest percent MD is a risk factor for all intrinsic molecular subtypes. Additional study is needed to examine whether these results hold for younger and older aged women. Understanding the importance of mammographic density measures for subtypes of breast cancer has significance for development of subtype-specific risk models. Citation Format: Celine Vachon, Rulla Tamimi, Yunn-Yi Chen, Christopher Scott, Kimberly Bertrand, Matthew Jensen, Daniel Visscher, Aaron Norman, Fergus Couch, John Shepherd, Bo Fan, Fang-Fang Wu, Lin Ma, Andrew Beck, Steve Cummings, V. Shane Pankratz, Karla Kerlikowske. Mammographic density: A risk factor for all breast cancers or only specific subtypes? [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr IA22.
Abstract P5-04-19: JAK2 copy number and targeted JAK2 inhibition of TNBC cell lines
CHEN, Min-xia, Andreozzi, Mariacarla, González‐Malerva, Laura, Eaton, Seron, Pockaj, BA, Barrett, MT, Anderson, KS

Mayo Clinic

Cancer Research | May 20, 2016 | Volume: 76 | Issue: 4_Supplement | Pages: P5-04-19-P5-04-19

10.1158/1538-7445.sabcs15-p5-04-19 Get It

Abstract Background A subset of triple negative breast cancers (TNBC) has somatic amplification of chromosome 9p24.1, encoding PD-L1, PD-L2, and JAK2 (the "PDJ" amplicon). The JAK/STAT pathway promotes malignant transformation and proliferation, and the JAK1/JAK2 inhibitor ruxolitinib is being evaluated in early phase clinical trials in breast cancer. This study was designed to measure the frequency of PDJ copy number gain in existing TNBC cell lines, and determine the impact of targeted JAK2 inhibition on cellular proliferation. Methods: Copy number alterations were measured in nine TNBC cell lines (MDA-MB-453, MDA-MB-436, BT549, MDA-MB231, MFM-223, MDA-MB-468, H5578T, MDA-MB-157, HCC1937) by array comparative genomic hybridization (aCGH). JAK2 and pSTAT3 expression was measured by immunoblot in four of the TNBC lines (HCC1937, MDA-MB-468, MDA-MB-231, MDA-MB-436) and compared with MCF10A, SK-BR3, and T47D. To selectively inhibit JAK2, lentiviral vectors encoding five different shRNA targeting JAK2 were generated. Ruxolitinib treatment was performed at 25 uM for 48 hrs and 72 hrs. Cell proliferation was measured by CellTiter-Glo. Results: All TNBC cell lines had an elevated level of baseline protein expression of JAK2 and pSTAT3 compared to SK-BR3, T47D, and MCF10A. Of the nine TNBC cell lines, only MDA-MB-436 and BT549 had copy number gain of 9p24.1 (log2ratio<1). Four independent shRNA efficiently silenced over 90% of JAK2 expression in MDA-MB-231. The inhibition of JAK2 in MDA-MB-231 was associated with a decrease in both JAK2 and pSTAT3 protein expression and reduction in cell proliferation compared to control shRNA after 96 hrs (p<0.0001). Inhibition of proliferation was also observed for both MDA-MB-231 and MDA-MB-436 after ruxolitinib treatment. Conclusion These results demonstrate that existing TNBC cell lines have varying copy number alterations of chromosome 9p24.1 encoding JAK2, and targeted JAK2 inhibition in TNBC inhibits cell proliferation. Citation Format: Chen M, Andreozzi M, Gonzalez-Malerva L, Eaton S, Pockaj B, Barrett MT, Anderson KS. JAK2 copy number and targeted JAK2 inhibition of TNBC cell lines. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P5-04-19.
Abstract P3-07-49: Residual cancer burden (RCB) with veliparib/carboplatin in the I-SPY2 trial
Liu, MC, Symmans, WF, Rugo, HS, Olopade, OF, Datnow, Brian, Hasteh, Farnaz, Tickman, Ronald, Troxel, Mary , Mhawech‐Fauceglia, Paulette , Duan, Xiuzhen, Berry, D. A., Yau, Christina , Chen, Yung‐Yi , Chen, Bin , Feldman, Michael D. , Kallakury, Bhaskar , Ritter, Jacob , Esserman, Laura J. , DeMichele, Angela

Mayo Clinic

Cancer Research | May 20, 2016 | Volume: 76 | Issue: 4_Supplement | Pages: P3-07-49-P3-07-49

10.1158/1538-7445.sabcs15-p3-07-49 Get It

Abstract Background: I-SPY2 is a multicenter phase 2 trial in high risk stage II/III breast cancer (BC) using adaptive randomization within biomarker subtypes to evaluate novel agents added to standard neoadjuvant chemotherapy. The first regimen to graduate based on the predicted probability of a higher pCR rate within predefined subsets was veliparib/carboplatin + paclitaxel (VC+T→AC vs T→AC) in triple negative BC (TNBC). In TNBC the residual cancer burden (RCB) is prognostic, whether as a continuous index or grouped into classes, with pCR (RCB-0) and RCB-I classes having identical survival. Therefore, we evaluated the use of RCB to further discriminate between investigational and control arms. Methods: Site pathologists reported RCB for 99% of subjects in the primary efficacy analysis based on pCR (n=114/115). We compared the distribution of RCB reported as a continuous index in each treatment-subset combination to matched concurrently randomized controls using the Wilcoxon rank sum test for RCB index, and Fisher's Exact test for RCB classes (RCB-0/I vs RCB-II/III). The statistics are descriptive rather than inferential, and given the small sample size have no claim on generalizability. We modified the Bayesian model used to compute the estimated probability of success in a future, randomized, phase 3 trial of 300 subjects, if response were defined by either pCR or RCB-I (RCB0/I), or separately if it were defined by pCR alone. Results: VC+T→AC led to a significantly lower RCB index than T→AC in TNBC (p=0.0021), with a near-significant trend when those with pCR were excluded (p=0.06). There was no significant difference in RCB distributions in the other breast cancer subtypes treated. In TNBC, the odds ratio (OR) for achieving RCB-0/I in the VC+T→AC arm vs control was 8.2 (95% confidence interval (CI): 2.1–35), whereas the OR for achieving pCR was 4.56 (95% CI: 1.25–19.53). The simulations using response information from I-SPY2 to predict the probability of success for VC+T→AC for TNBC in a future phase 3 trial estimated this probability to be 0.99 if modeled using RCB-0/I as the response endpoint, and 0.90 if modeled using pCR as the response endpoint. Conclusions: Use of RCB index and classes provided additional insight into the effect of adding VC to T, appearing to magnify the improved treatment response that had been observed with pCR rates in TNBC. It will be important to test in randomized trials whether a decrease in the RCB index relative to controls, and/or increased rates of RCB-0/I class, are predictive of survival benefit in TNBC. Citation Format: Liu MC, Symmans WF, Yau C, Chen Y-Y, Rugo HS, Olopade OF, Datnow B, Chen B, Feldman M, Kallakury B, Hasteh F, Tickman R, Ritter J, Troxel M, Mhawech-Fauceglia P, Duan X, Berry D, Esserman L, DeMichele A. Residual cancer burden (RCB) with veliparib/carboplatin in the I-SPY2 trial. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P3-07-49.
Grey platelet syndrome misdiagnosed as ITP
Botero, Juliana Perez , Im, Roeun, Chen, Dong , Patnaik, Mrinal M. , Perez Botero, Juliana, Perez Botero, Juliana , Chen, Dong

Mayo Clinic

British Journal of Haematology | May 13, 2016 | Volume: 173 | Issue: 5 | Pages: 662-662

10.1111/bjh.14079 | PMID 27172068 Get It

Extracorporeal Liver Support and Liver Transplant for Patients with Acute-on-Chronic Liver Failure
Chen, Harvey , Nyberg, Scott L. , Chen, Harvey Shi-Hsien, Li, Han

Mayo Clinic

Seminars in Liver Disease | May 12, 2016 | Volume: 36 | Issue: 02 | Pages: 153-160

10.1055/s-0036-1583197 | PMID 27172357 Get It

NKAP Regulates Invariant NKT Cell Proliferation and Differentiation into ROR-γt–Expressing NKT17 Cells
Thapa, Puspa , Chen, Meibo W., McWilliams, Douglas C., Belmonte, Paul , Constans, Megan, Sant’Angelo, Derek B. , Shapiro, Virginia Smith , Belmonte, Paul J

Mayo Clinic

The Journal of Immunology | May 10, 2016 | Volume: 196 | Issue: 12 | Pages: 4987-4998

10.4049/jimmunol.1501653 | PMID 27183586 Get It

Abstract Invariant NKT (iNKT) cells are a unique lineage with characteristics of both adaptive and innate lymphocytes, and they recognize glycolipids presented by an MHC class I–like CD1d molecule. During thymic development, iNKT cells also differentiate into NKT1, NKT2, and NKT17 functional subsets that preferentially produce cytokines IFN-γ, IL-4, and IL-17, respectively, upon activation. Newly selected iNKT cells undergo a burst of proliferation, which is defective in mice with a specific deletion of NKAP in the iNKT cell lineage, leading to severe reductions in thymic and peripheral iNKT cell numbers. The decreased cell number is not due to defective homeostasis or increased apoptosis, and it is not rescued by Bcl-xL overexpression. NKAP is also required for differentiation into NKT17 cells, but NKT1 and NKT2 cell development and function are unaffected. This failure in NKT17 development is rescued by transgenic expression of promyelocytic leukemia zinc finger; however, the promyelocytic leukemia zinc finger transgene does not restore iNKT cell numbers or the block in positive selection into the iNKT cell lineage in CD4-cre NKAP conditional knockout mice. Therefore, NKAP regulates multiple steps in iNKT cell development and differentiation.
Chronic Recreational Physical Inactivity and Epithelial Ovarian Cancer Risk: Evidence from the Ovarian Cancer Association Consortium
Cannioto, Rikki , LaMonte, Michael J. , Sucheston‐Campbell, Lara, Eng, Kevin H., Szender, J. Brian, Chang‐Claude, Jenny, Schmalfeldt, Barbara , Klapdor, R, Gower, Emily, Minlikeeva, Albina N. , Zirpoli, Gary , Edwards, Robert P., Goode, Ellen L. , Goodman, Marc T. , Høgdall, Estrid , Hosono, Satoyo , Jensen, Allan , Jordan, Susan J. , Group, on behalf of The Australian Ovarian Cancer Study, Matsuo, Keitaro , Ness, Roberta B., Olsen, Catherine M. , Olson, Sara H. , Pearce, Celeste Leigh , Pike, Malcolm C. , Rossing, Mary Anne, Szamreta, Elizabeth A. , Thompson, Pamela J., Tseng, Chiu-Chen , Vierkant, Robert A. , Webb, Penelope M. , Wentzensen, Nicolas , Wicklund, Kristine G. , Winham, Stacey J. , Wu, Anna H. , Schildkraut, Joellen M. , Terry, Kathryn L. , Kelemen, Linda E. , Moysich, Kirsten B. , Risch, Harvey A. , Hong, Chi‐Chen , Bandera, Elisa V. , Berchuck, Andrew , Cramer, Daniel W. , Doherty, Jennifer A. , Fridley, Brooke L. , Group, on behalf of The Australian Ovarian Cancer Study, Kjær, Susanne K. , Modugno, Francesmary , Winham, Stacey J , Webb, Penelope M , Jensen, Allan , Vierkant, Robert A , Moysich, Kirsten , Matsuo, Keitaro , Høgdall, Estrid , Zirpoli, Gary , Goodman, Marc T

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | May 7, 2016 | Volume: 25 | Issue: 7 | Pages: 1114-1124

10.1158/1055-9965.epi-15-1330 | PMID 27197285 Get It

Abstract Background: Despite a large body of literature evaluating the association between recreational physical activity and epithelial ovarian cancer (EOC) risk, the extant evidence is inconclusive, and little is known about the independent association between recreational physical inactivity and EOC risk. We conducted a pooled analysis of nine studies from the Ovarian Cancer Association Consortium to investigate the association between chronic recreational physical inactivity and EOC risk. Methods: In accordance with the 2008 Physical Activity Guidelines for Americans, women reporting no regular, weekly recreational physical activity were classified as inactive. Multivariable logistic regression was utilized to estimate the ORs and 95% confidence intervals (CI) for the association between inactivity and EOC risk overall and by subgroups based upon histotype, menopausal status, race, and body mass index. Results: The current analysis included data from 8,309 EOC patients and 12,612 controls. We observed a significant positive association between inactivity and EOC risk (OR = 1.34; 95% CI, 1.14–1.57), and similar associations were observed for each histotype. Conclusions: In this large pooled analysis examining the association between recreational physical inactivity and EOC risk, we observed consistent evidence of an association between chronic inactivity and all EOC histotypes. Impact: These data add to the growing body of evidence suggesting that inactivity is an independent risk factor for cancer. If the apparent association between inactivity and EOC risk is substantiated, additional work via targeted interventions should be pursued to characterize the dose of activity required to mitigate the risk of this highly fatal disease. Cancer Epidemiol Biomarkers Prev; 25(7); 1114–24. ©2016 AACR.
T cell Bim levels reflect responses to anti–PD-1 cancer therapy
Dronca, Roxana , Liu, Xin , Harrington, Susan M. , Cao, Siyu , Kottschade, Lisa A. , Block, Matthew S. , Nevala, Wendy K. , Dong, Haidong , Dronca, Roxana S., Chen, Lingling, McWilliams, Robert R. , Chen, Ling‐Ling , Thompson, Michael A. , Mansfield, Aaron S. , Park, Sean S. , Markovic, Svetomir N. , Dong, Haidong

Mayo Clinic

JCI Insight | May 4, 2016 | Volume: 1 | Issue: 6 | Pages: No page available

10.1172/jci.insight.86014 | PMID 27182556 Get It

Immune checkpoint therapy with PD-1 blockade has emerged as an effective therapy for many advanced cancers; however, only a small fraction of patients achieve durable responses. To date, there is no validated blood-based means of predicting the response to PD-1 blockade. We report that Bim is a downstream signaling molecule of the PD-1 pathway, and its detection in T cells is significantly associated with expression of PD-1 and effector T cell markers. High levels of Bim in circulating tumor-reactive (PD-1 + CD11a hi CD8 + ) T cells were prognostic of poor survival in patients with metastatic melanoma who did not receive anti–PD-1 therapy and were also predictive of clinical benefit in patients with metastatic melanoma who were treated with anti–PD-1 therapy. Moreover, this circulating tumor-reactive T cell population significantly decreased after successful anti–PD-1 therapy. Our study supports a crucial role of Bim in both T cell activation and apoptosis as regulated by PD-1 and PD-L1 interactions in effector CD8 + T cells. Measurement of Bim levels in circulating T cells of patients with cancer may provide a less invasive strategy to predict and monitor responses to anti–PD-1 therapy, although future prospective analyses are needed to validate its utility.
Clinical neurocardiology defining the value of neuroscience‐based cardiovascular therapeutics
Shivkumar, Kalyanam , Ajijola, Olujimi A. , Anand, Inder S. , Armour, J. Andrew, Chen, Peng‐Sheng , Esler, Murray , Ferrari, Gaetano Maria De , Fishbein, Michael C. , Harper, Ronald M. , Joyner, Michael J. , Khalsa, Sahib S. , Lane, Richard D. , Mahajan, Aman , Po, Sunny S. , Valderrábano, Miguel , Vaseghi, Marmar , Goldberger, Jeffrey J , Kumar, Rajesh , Schwartz, Peter J. , Somers, Virend K. , Zipes, Douglas P. , Shivkumar, Kalyanam , Anand, Inder S , Joyner, Michael J , Khalsa, Sahib S

Mayo Clinic

The Journal of Physiology | April 27, 2016 | Volume: 594 | Issue: 14 | Pages: 3911-3954

10.1113/jp271870 | PMID 27114333 Get It

AbstractThe autonomic nervous system regulates all aspects of normal cardiac function, and is recognized to play a critical role in the pathophysiology of many cardiovascular diseases. As such, the value of neuroscience‐based cardiovascular therapeutics is increasingly evident. This White Paper reviews the current state of understanding of human cardiac neuroanatomy, neurophysiology, pathophysiology in specific disease conditions, autonomic testing, risk stratification, and neuromodulatory strategies to mitigate the progression of cardiovascular diseases.
No evidence that protein truncating variants in BRIP1 are associated with breast cancer risk: implications for gene panel testing
Easton, Douglas F. , Lesueur, Fabienne , Decker, Brennan , Michailidou, Kyriaki , Li, Jun , Allen, Jamie , Luccarini, Craig , Pooley, Karen A. , Shah, Mitul , Bolla, Manjeet K. , Wang, Qin, Ahmad, Jamil , Thompson, Ella R. , Pertesi, Maroulio , Voegele, Catherine , Mebirouk, Noura, Robinot, Nivonirina , Forey, Nathalie, Luben, Robert , Aittomäki, Kristiina, Group, Australian Ovarian Cancer Study, Baynes, Caroline, Beckman, Matthias W., Benı́tez, Javier , Blot, William J. , Bogdanova, Natalia , Bojesen, Stig E. , Brenner, Hermann , Chang‐Claude, Jenny , Chia, Kee Seng , Choi, Ji‐Yeob , Conroy, Don, Darabi, Hatef, Devilee, Peter , Eriksson, Mikael , Fasching, Peter A. , Figueroa, Jonine D. , Flyger, Henrik, García‐Closas, Montserrat , Giles, Graham G. , Glendon, Gord, Guénel, Pascal , Haiman, Christopher A., Hart, Steven N. , Hartman, Mikael , Hooning, Maartje J. , Hsiung, Chia‐Ni , Jakubowska, Anna , James, Paul A. , John, Esther M. , Johnson, Nichola , Jones, Michael E. , Kabisch, Maria, Kang, Daehee , Investigators, kConFab, Kosma, Veli‐Matti , Kristensen, Vessela, Lambrechts, Diether , Li, Na , Investigators, Lifepool, Lindblom, Annika , Long, Jirong , Lophatananon, Artitaya, Lubiński, Jan , Mannermaa, Arto, Manoukian, Siranoush , Margolin, Sara , Matsuo, Keitaro , Meindl, Alfons , Mitchell, Gillian, Investigators, NBCS, Nevelsteen, Ines, Ouweland, Ans van den, Peterlongo, Paolo , Phuah, Sze Yee, Pylkäs, Katri , Rowley, Simone M. , Sangrajrang, Suleeporn , Schmutzler, Rita K., Shen, Chen‐Yang , Southey, Melissa C. , Surowy, Harald , Swerdlow, Anthony J. , Teo, Soo‐Hwang , Tollenaar, Rob A.�E.�M. , Tomlinson, Ian , Torres, Diana , Truong, Thérèse , Vachon, Celine M. , Verhoef, Senno, Wong‐Brown, Michelle W. , Zheng, Wei , Zheng, Ying , Scott, Rodney J. , Andrulis, Irene L. , Wu, Anna H. , Hopper, John L. , Winqvist, Robert , Burwinkel, Barbara , Sawyer, Elinor J. , Schmidt, Marjanka K. , Dörk, Thilo , Brauch, Hiltrud , Hamann, Ute, Fletcher, Olivia , Campbell, Ian , Dunning, Alison M. , Calvez‐Kelm, Florence Le , Goldgar, David E, Tavtigian, Sean V. , Chenevix‐Trench, Georgia , Thorne, Heather , Lambrechts, Diether , Luben, Robert N , Vachon, Celine, Decker, Brennan , Wang, Qin, Dennis, Joe , Damiola, Francesca , Durand, Geoffroy , Ahmed, Shahana , Anton‐Culver, Hoda , Arndt, Volker , Group, Australian Ovarian Cancer Study, Berg, David Van Den , Cox, Angela , Cross, Simon S. , Czene, Kamila , Eriksson, Mikael , Fostira, Florentia , González‐Neira, Anna , Hall, Per N , Hooning, Maartje J. , Ito, Hidemi , Investigators, kConFab, Kristensen, Vessela N. , Investigators, Lifepool, Mannermaa, Arto, Meindl, Alfons , Muir, Kenneth , Investigators, NBCS, Shu, Xiao‐Ou , Vachon, Celine M. , Nevanlinna, Heli , Couch, Fergus J. , Rudolph, Anja , Neuhausen, Susan L. , Milne, Roger L. , Pharoah, Paul D.P. , Goldgar, David E, Dörk, Thilo , Lambrechts, Diether , Giles, Graham G , James, Paul , Lesueur, Fabienne , Peterlongo, Paolo , Teo, Soo H , Swerdlow, Anthony J , Campbell, Ian G , John, Esther M , Southey, Melissa C , Matsuo, Keitaro , Hart, Steven N , Dunning, Alison M , Jakubowska, Anna , Jones, Michael E , Lambrechts, Diether , Brenner, Hermann , Guénel, Pascal , Hartman, Mikael , Torres, Diana , García-Closas, Montserrat , Schmidt, Marjanka K , Michailidou, Kyriaki , Bogdanova, Natalia V , Benitez, Javier , Chenevix-Trench, Georgia , Zheng, Wei , Figueroa, Jonine D , Pylkäs, Katri , Devilee, Peter , Manoukian, Siranoush , Lubinski, Jan , Fletcher, Olivia , Bojesen, Stig E , Truong, Therese , Brauch, Hiltrud , Lindblom, Annika , Sawyer, Elinor J , Kang, Daehee

Mayo Clinic

Journal of Medical Genetics | April 22, 2016 | Volume: 53 | Issue: 5 | Pages: 298-309

10.1136/jmedgenet-2015-103529 | PMID 26921362 Get It

Background BRCA1 interacting protein C-terminal helicase 1 (BRIP1) is one of the Fanconi Anaemia Complementation (FANC) group family of DNA repair proteins. Biallelic mutations in BRIP1 are responsible for FANC group J, and previous studies have also suggested that rare protein truncating variants in BRIP1 are associated with an increased risk of breast cancer. These studies have led to inclusion of BRIP1 on targeted sequencing panels for breast cancer risk prediction. Methods We evaluated a truncating variant, p.Arg798Ter (rs137852986), and 10 missense variants of BRIP1, in 48 144 cases and 43 607 controls of European origin, drawn from 41 studies participating in the Breast Cancer Association Consortium (BCAC). Additionally, we sequenced the coding regions of BRIP1 in 13 213 cases and 5242 controls from the UK, 1313 cases and 1123 controls from three population-based studies as part of the Breast Cancer Family Registry, and 1853 familial cases and 2001 controls from Australia. Results The rare truncating allele of rs137852986 was observed in 23 cases and 18 controls in Europeans in BCAC (OR 1.09, 95% CI 0.58 to 2.03, p=0.79). Truncating variants were found in the sequencing studies in 34 cases (0.21%) and 19 controls (0.23%) (combined OR 0.90, 95% CI 0.48 to 1.70, p=0.75). Conclusions These results suggest that truncating variants in BRIP1, and in particular p.Arg798Ter, are not associated with a substantial increase in breast cancer risk. Such observations have important implications for the reporting of results from breast cancer screening panels.