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ACOSOG Z1041 (Alliance): Cardiac events (CE) among those receiving neoadjuvant anthracyclines (A) and taxanes with trastuzumab (T) for HER2+ breast cancer.
Ewer, Michael S. , Buzdar, Aman U. , McCall, Linda, Leitch, A. Marilyn , Unzeitig, Gary, Royce, Melanie , Suman, Vera J. , Meric‐Bernstam, Funda , Ellis, Matthew J. , Boughey, Judy C. , Hunt, Kelly K.

Journal of Clinical Oncology | March 11, 2020 | Volume: 31 | Issue: 15_suppl | Pages: 526-526

10.1200/jco.2013.31.15_suppl.526 Get It

526 Background: Z1041 randomized women with HER2+ operable breast cancer to: FEC → P+T (Arm 1) or P+T → FEC+T (Arm 2). Treatment administered as 5-FU 500 mg/m2, epirubicin 75 mg/m2 and cyclophosphamide 500 mg/m2 day 1 of a 21-day cycle x 4; paclitaxel 80 mg/m2weekly x 12 and T 4 mg/kg once then 2 mg/kg weekly x 11. T was to continue q3 weeks post-op for 40 weeks. A secondary aim was to examine the cardiotoxicity (CE). Methods: Ejection fraction (EF) was measured at baseline (BL), between regimens (wk 12), prior to surgery (wk 24) and PRN. Eligibility: BL EF ≥ 55%. CEs included decline in EF of > 15%, or >10% points to a value < LLN. Reversibility was adjudicated by blinded investigators as reversible (R: recovery of EF to ≤ 5% below BL), partially reversible (PR: recovery of > 10% points from nadir, but ≤ 5% points below BL), indeterminate (IN: no additional EF data), or irreversible (IRR:follow-up EF studies showed no improvement). Results: Of the 280 patients (Arm 1: 138) who began treatment, 15 pts (Arm 1: 10; Arm 2: 5) did not receive T. The number of weeks of T was 13 (range: 1-18) in Arm 1 and 24 (range: 1-31) in Arm 2. Changes in EF and severe treatment related cardiac toxicities prior to surgery (sx) are tabled below. There were 271 pts (Arm 1: 131) who had post-BL EFs. Prior to sx, there were 11 CE (8.3%) in Arm 1 and 13 CE (9.2%) in Arm 2. CEs were R in 12 pts (Arm 1: 5; Arm 2: 7); PR in 6 pts (Arm 1: 4; Arm 2: 2); IN in 4 pts (Arm 1: 2; Arm 2: 3) and IRR in 1 Arm 2 pt. Conclusions: The number of CE events in arms 1 and 2 showed no significant difference; greater scatter was observed in arm 2 patients. While concern for late cardiac events makes ongoing cardiac surveillance prudent due to A, concomitant use of A and T appear to not be associated with increased cardiac risk. Clinical trial information: NCT00513292. [Table: see text]
Prognostic impact of the 21-gene recurrence score in patients presenting with stage IV breast cancer.
King, Tari A. , Lyman, Jaclyn P. , Gönen, Mithat , Voci, Amy, Brot, Marina De , Boafa, Camilla, Sing, Amy P., Hwang, Eun-Sil Shelley, Alvarado, Michael , Liu, Minetta C. , McGuire, Kandace P. , Poznak, Catherine Van , Jacobs, Lisa K. , Meszoely, Ingrid M. , Babiera, Gildy V., Morrow, Monica , Hudis, Clifford A. , Boughey, Judy C. , Krontiras, Helen , Norton, Larry

Journal of Clinical Oncology | March 11, 2020 | Volume: 31 | Issue: 15_suppl | Pages: 507-507

10.1200/jco.2013.31.15_suppl.507 Get It

507 Background: The 21-gene Recurrence Score (OncotypeDX Breast Cancer Assay) predicts outcome and benefit from chemotherapy (CT) in early stage ER+ BC treated with adjuvant endocrine therapy. We evaluated the association between Recurrence Score (RS), time to progression (TTP), and overall survival (OS) in patients with stage IV BC enrolled in TBCRC 013. Methods: TBCRC 013 is a registry study evaluating surgery of the primary tumor in pts presenting with Stage IV BC. From 7/09 - 4/12, 128 evaluable pts were enrolled in two cohorts (A: metastases (mets) with intact primary tumor (n=112); B: mets within 3 months of primary surgery (n=16)). This study includes 110 pts with pre-treatment primary tumor samples available for analysis. Clinical variables, TTP and OS were correlated with RS using long-rank, Kaplan-Meier and Cox regression. Results: Median pt age was 52yrs (21-79) and median tumor size 3.1cm (0.7-15). 82 (80%) were ER+, 83 (81%) Her2(-) and 51 (46%) had bone-only mets. Cohorts A and B did not differ. At a median follow-up of 26 mos (1-47), median TTP is 19 mos (95%CI16-25) and surgery is not associated with OS. 102 samples qualified for RS. 23 (23%) had low RS<18, 29 (28%) intermediate RS, 18-30; and 50 (49%) high RS≥31. Age, tumor size or site of 1stmets was not associated with RS. Risk groups were prognostic for TTP in ER+ pts and for 2 yr OS in ER+Her2- pts (Table). In Cox models continuous RS was also prognostic for TTP in ER+ pts (HR 3.5; for 50 point difference (PD) 95%CI 1.5-8.1, p=0.003) and for OS in ER+Her2- pts (HR 21.4, for 50 PD 95%CI 2.2-204.4, p=0.008). In MVA, adjusting for clinical variables, RS remained prognostic for TTP in ER+ pts (p=0.01). Further analysis of surgery in this trial is ongoing. Conclusions: The 21-gene RS is independently prognostic for TTP in ER+ Stage IV BC. RS is also prognostic for OS in ER+Her2- BC, suggesting that a high RS may be a surrogate for endocrine resistance and could be used to select pts with ER+ Stage IV BC for CT. A randomized trial to address this hypothesis is warranted. Clinical trial information: NCT00941759. [Table: see text]
ACOSOG Z1041 (Alliance): Definitive analysis of randomized neoadjuvant trial comparing FEC followed by paclitaxel plus trastuzumab (FEC → P+T) with paclitaxel plus trastuzumab followed by FEC plus trastuzumab (P+T → FEC+T) in HER2+ operable breast cancer.
Buzdar, Aman U. , Leitch, A. Marilyn , Unzeitig, Gary, Royce, Melanie , Suman, Vera J. , Meric‐Bernstam, Funda , Ellis, Matthew J. , Boughey, Judy C. , Hunt, Kelly K.

Journal of Clinical Oncology | March 11, 2020 | Volume: 31 | Issue: 15_suppl | Pages: 502-502

10.1200/jco.2013.31.15_suppl.502 Get It

502 Background: Neoadjuvant chemotherapy (NAC) and concomitant trastuzumab (T) have produced high pathologic complete response (pCR) rates in HER2+ breast cancers. Z1041 addresses the timing of initiation of T with NAC. Methods: Women with operable HER2+ invasive breast cancer were randomized 1:1 to: FEC → P+T (Arm 1) or P+T → FEC+T (Arm 2) where treatment was administered as 5-FU 500 mg/m2, epirubicin 75 mg/m2 and cyclophosphamide 500 mg/m2 day 1 of a 21-day cycle x 4 (FEC); paclitaxel 80 mg/m2 weekly x 12 and trastuzumab 4 mg/kg once then 2 mg/kg weekly x 11. Eligibility also included: tumor > 2 cm or a positive lymph node and left ventricular ejection fraction > 55%. The primary aim was to compare the pCR rates in the breast (pBCR) between the regimens. Secondary endpoints were pCR rate in the breast and lymph nodes (pBNCR) and safety profile. All pts who began study treatment were included in the analyses. With 128 pts per regimen, a two-sided alpha=0.05 test of proportions would have a 90% chance of detecting a difference of 20% or more in the pBCR rates, when the pBCR rate with the poorer regimen is ≤ 25%. Results: From September 15, 2007 to December 15, 2011, 282 women (Arm 1: 140 pts) were enrolled. Two pts (Arm 1) withdrew without receiving treatment. The two arms were similar in age, stage, and hormone receptor (HR) status (HR neg: 40%). The severe (grade 3+) treatment-related toxicities included: neutropenia (Arm 1: 24.6%; Arm 2: 32.4%), fatigue (Arm 1: 4.3%; Arm 2: 8.5%), and neurosensory problems (Arm 1: 3.6%; Arm 2: 4.9%). The pBCR rate and pBNCR rates (Table) were not found to differ between the two regimens (Fisher’s exact p values: 0.905 and 0.811, respectively). Conclusions: High pCR rates can be achieved with trastuzumab in combination with anthracyclines and taxanes. The pBCR or pBNCR was not different between regimens based on the timing of initiation of trastuzumab. Clinical trial information: NCT00513292. [Table: see text]
Role of axillary ultrasound after neoadjuvant chemotherapy in women with node-positive breast cancer (T1-4, N1-2, M0) at initial diagnosis (ACOSOG Z1071).
Le‐Petross, Huong T. , McCall, Linda, Ahrendt, Gretchen , Leitch, A. Marilyn , Taback, Bret , Hunt, Kelly K. , Mittendorf, EA , Wilke, Lee G. , Boughey, Judy C.

Journal of Clinical Oncology | March 11, 2020 | Volume: 30 | Issue: 15_suppl | Pages: 1107-1107

10.1200/jco.2012.30.15_suppl.1107 Get It

1107 Background: The role of axillary ultrasound (AUS) after neoadjuvant chemotherapy (NAC) to assess for residual nodal disease in patients presenting with node positive breast cancer remains unclear. ACOSOG Z1071 is a prospective multi-institutional trial evaluating sentinel node biopsy in patients with biopsy proven node positive breast cancer (T0-4, N1-2, M0) receiving NAC. Herein we report on the secondary objective evaluating the correlation of lymph node (LN) features on AUS with residual nodal disease. Methods: AUS images from diagnosis and after NAC were centrally reviewed for cortex size, LN size and LN morphology. Morphologic features were defined as: type I, no visible cortex, type II, < 3 mm hypoechoic cortex, type III, > 3mm hypoechoic cortex, type IV, generalized lobulated hypoechoic cortex, type V, focal hypoechoic cortical lobulation, and type VI, totally hypoechoic node with no hilum. Type I and II are considered normal. Results: Surgical and imaging data are available on 294 patients. Median age was 50 years (range 23-93 years), mean initial tumor size 3cm (0 to 15cm) and clinical stage II in 64.5% and III in 35.5%. The maximum LN diameter decreased after NAC (mean 22mm pre-NAC to 14mm post-NAC)(p<0.0001); however, there was no significant difference after NAC between the pathologically N+ (13mm, range 5-46mm) and N0 cases (12mm, range 3-32mm)(p=0.13). LN cortical thickness correlated with residual nodal disease after NAC (p-value = 0.04). Using a cutoff point of cortical thickness of 3 mm, the sensitivity was 33% (48/145) and specificity 80% (66/82). AUS morphological features after NAC was associated with false negative rate 62%, false positive rate 28%, sensitivity 38%, and specificity 72%. Conclusions: AUS after NAC is useful to assess nodal response. Cortical thickness was the best predictor of residual nodal metastasis. LN size and morphological features do not reliably exclude residual nodal metastasis in patients after NAC. [Table: see text]
Evaluation of Germline Genetic Testing Criteria in a Hospital-Based Series of Women With Breast Cancer
Yadav, Siddhartha , Hu, Chunling , Lindstrom, Tricia, Armasu, Sebastian M. , Fitz‐Gibbon, Patrick D., Ghosh, Karthik, Pruthi, Sandhya , Neal, Lonzetta, Sandhu, Nicole P. , Rhodes, Deborah J. , Klassen, Christine L. , Peethambaram, Prema P. , Haddad, Tufia C. , Ruddy, Kathryn J. , Hart, Steven N. , Polley, Eric C. , Na, Jie , Gnanaolivu, Rohan , Lee, Kun Y. , Armasu, Sebastian, Fitz-Gibbon, Patrick, Stan, Daniela L., Sandhu, Nicole, Klassen, Christine, Hoskin, Tanya L. , Yadav, Siddhartha , Hu, Chunling , Boddicker, Nicholas , Stan, Daniela , Olson, Janet E. , Goetz, Matthew P. , Domchek, Susan M. , Boughey, Judy C. , Couch, Fergus J.

Journal of Clinical Oncology | March 3, 2020 | Volume: 38 | Issue: 13 | Pages: 1409-1418

10.1200/jco.19.02190 | PMID 32125938 Get It

PURPOSE To determine the sensitivity and specificity of genetic testing criteria for the detection of germline pathogenic variants in women with breast cancer. MATERIALS AND METHODS Women with breast cancer enrolled in a breast cancer registry at a tertiary cancer center between 2000 and 2016 were evaluated for germline pathogenic variants in 9 breast cancer predisposition genes ( ATM , BRCA1, BRCA2, CDH1, CHEK2, NF1, PALB2, PTEN, and TP53). The performance of the National Comprehensive Cancer Network (NCCN) hereditary cancer testing criteria was evaluated relative to testing of all women as recommended by the American Society of Breast Surgeons. RESULTS Of 3,907 women, 1,872 (47.9%) meeting NCCN criteria were more likely to carry a pathogenic variant in 9 predisposition genes compared with women not meeting criteria (9.0% v 3.5%; P < .001). Of those not meeting criteria (n = 2,035), 14 (0.7%) had pathogenic variants in BRCA1 or BRCA2. The sensitivity of NCCN criteria was 70% for 9 predisposition genes and 87% for BRCA1 and BRCA2, with a specificity of 53%. Expansion of the NCCN criteria to include all women diagnosed with breast cancer at ≤ 65 years of age achieved > 90% sensitivity for the 9 predisposition genes and > 98% sensitivity for BRCA1 and BRCA2. CONCLUSION A substantial proportion of women with breast cancer carrying germline pathogenic variants in predisposition genes do not qualify for testing by NCCN criteria. Expansion of NCCN criteria to include all women diagnosed at ≤ 65 years of age improves the sensitivity of the selection criteria without requiring testing of all women with breast cancer.
Transcriptome‐wide association study of breast cancer risk by estrogen‐receptor status
Feng, Helian , Gusev, Alexander , Wu, Lang , Abu-Full, Zomoroda, Aittomäki, Kristiina, Andrulis, Irene L. , Antoniou, Antonis C. , Arason, Aðalgeir , Arndt, Volker , Aronson, Kristan J. , Asseryanis, Ella, Auer, Paul L. , Azzollini, Jacopo , Barkardóttir, Rósa B. , Barrowdale, Daniel , Beckmann, Matthias W. , Bermisheva, Marina , Białkowska, Katarzyna , Bogdanova, Natalia , Bojesen, Stig E. , Bolla, Manjeet K. , Borg, Åke , Brauch, Hiltrud , Brenner, Hermann , Brüning, Thomas , Burwinkel, Barbara , Caldés, Trinidad , Canisius, Sander , Campa, Daniele , Carter, Brian D., Castelao, Jose E. , Chang‐Claude, Jenny , Christiansen, Hans , Claes, Kathleen , Collaborators, GEMO Study, Collaborators, EMBRACE, Collaborators, GC‐HBOC study, Cox, Angela , Daly, Mary B., Leeneer, Kim De , Dörk, Thilo , Dwek, Miriam , Eccles, Diana M., Ejlertsen, Bent , Engel, Christoph , Fasching, Peter A. , Flyger, Henrik, Friedman, Eitan , Frost, Debra, Gabrielson, Marike , Ganz, Patricia A. , Gapstur, Susan M. , García‐Closas, Montserrat , Gaudet, Mia M. , Glendon, Gord , Goldberg, Mark S. , Goldgar, David E., González‐Neira, Anna , Greene, Mark H. , Guénel, Pascal , Haiman, Christopher A. , Hamann, Ute, Hake, Christopher R., He, Wei , Heyworth, Jane , Hogervorst, Frans B.L., Hooning, Maartje J. , Hoover, Robert N. , Hopper, John L. , Huang, Guanmengqian, Hulick, Peter J. , Humphreys, Keith , Imyanitov, Evgeny N., Investigators, ABCTB, Investigators, HEBON, Investigators, BCFR, Investigators, OCGN, Jakimovska, Milena , Jakubowska, Anna , James, Paul A. , Janavicius, Ramunas, Jankowitz, Rachel C. , John, Esther M. , Johnson, Nichola , Jung, Audrey , Kiiski, Johanna I. , Konstantopoulou, Irene , Kristensen, Vessela N. , Laitman, Yael , Lambrechts, Diether , Leroux, Dominique, Lester, Jenny, Lesueur, Fabienne , Lindor, Noralane M. , Lindström, Sara, Lo, Wing‐Yee, Loud, Jennifer T. , Makalic, Enes , Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush , Margolin, Sara , Matricardi, Laura , Maurer, Tabea, Mavroudis, Dimitrios, McGuffog, Lesley, Meindl, Alfons , Menon, Usha , Michailidou, Kyriaki , Kapoor, Pooja M., Montagna, Marco , Moreno, Fernando , Muranen, Taru , Nathanson, Katherine L. , Nevelsteen, Ines, Ņikitina-Zaķe, Liene , Offit, Kenneth, Oláh, Edith , Olopade, Olufunmilayo I. , Olsson, Håkan , Osório, Ana , Papp, J., Park‐Simon, Tjoung‐Won , Pedersen, Inge Søkilde , Peixoto, Ana , Peterlongo, Paolo , Peto, Julian , Phillips, Kelly‐Anne , Plaseska‐Karanfilska, Dijana , Poppe, Bruce , Pradhan, Nisha , Prajzendanc, Karolina , Punie, Kevin , Pylkäs, Katri , Rantala, Johanna, Rashid, Muhammad Usman , Rennert, Gad , Romero, Atocha , Saloustros, Emmanouil , Sandler, Dale P. , Santos, Catarina , Sawyer, Elinor J. , Schmutzler, Rita K., Schoemaker, Minouk J. , Scott, Rodney J. , Simard, Jacques , Skytte, Anne‐Bine , Soucy, Penny, Spinelli, John J. , Stone, Jennifer , Tapper, William , Taylor, Jack A. , Teixeira, Manuel R. , Terry, Mary Beth , Teulé, Àlex , Thomassen, Mads , Thöne, Kathrin , Thull, Darcy L. , Tollenaar, Rob A.�E.�M. , Torres, Diana , Vachon, Celine M. , Ouweland, Ans M.W. van den, Vega, Ana , Viel, Alessandra , Vieiro‐Balo, Paula, Wang, Qin , Wappenschmidt, Barbara , Weinberg, Clarice R. , Weitzel, Jeffrey N. , Wendt, Camilla, Winqvist, Robert , Yang, Xiaohong R., Easton, Douglas F. , Chenevix‐Trench, Georgia , Durocher, Francine , Eccles, Diana , Janavičius, Ramūnas , Khaw, Kay‐Tee , Lambrechts, Diether , Lindor, Noralane, Dörk, Thilo , Lambrechts, Diether , Hulick, Peter J , James, Paul , Lesueur, Fabienne , Peterlongo, Paolo , Rennert, Gad , Sandler, Dale P , Teixeira, Manuel R , Eccles, Diana , Menon, Usha , Vega, Ana , Weitzel, Jeffrey N , Claes, Kathleen B M , Azzollini, Jacopo , John, Esther M , Konstantopoulou, Irene , Matricardi, Laura , Olopade, Olufunmilayo I , Arndt, Volker , Jakubowska, Anna , Lambrechts, Diether , Brenner, Hermann , Cox, Angela , Guénel, Pascal , Muranen, Taru A , Romero, Atocha , Saloustros, Emmanouil , Torres, Diana , García-Closas, Montserrat , Makalic, Enes , Michailidou, Kyriaki , Bogdanova, Natalia V , Taylor, Jack A , Nathanson, Katherine L , Arason, Adalgeir , Barrowdale, Daniel , Engel, Christoph , Montagna, Marco , Viel, Alessandra , Simard, Jacques , Chenevix-Trench, Georgia , Jung, Audrey Y , Gabrielson, Marike , Stone, Jennifer , Pylkäs, Katri , Rashid, Muhammad U , De Leeneer, Kim , Manoukian, Siranoush , Bojesen, Stig E , Schoemaker, Minouk J , Weinberg, Clarice R , Phillips, Kelly-Anne , Terry, Mary Beth , Brauch, Hiltrud , Plaseska-Karanfilska, Dijana , Sawyer, Elinor J , Paşaniuc, Bogdan , Long, Jirong , Anton‐Culver, Hoda , Arun, Banu , Balmañà, Judith , Barnes, Daniel R. , Behrens, Sabine , Benı́tez, Javier , Blanco, Ana , Blomqvist, Carl , Boeckx, Bram , Bonanni, Bernardo , Borg, Åke , Briceño, Ignacio , Broeks, Annegien , Cai, Qiuyin , Caligo, Maria A. , Campbell, Ian , Carter, Jonathan , Chanock, Stephen Jacob , Chung, Wendy K. , Clarke, Christine L. , Collaborators, GEMO Study, Collaborators, EMBRACE, Collaborators, GC‐HBOC study, Couch, Fergus J. , Cross, Simon S. , Cybulski, Cezary , Czene, Kamila , Hoya, Miguel de la , Dennis, Joe , Devilee, Peter , Dı́ez, Orland , Domchek, Susan M. , dos‐Santos‐Silva, Isabel , Dunning, Alison M. , Ellberg, Carolina , Eriksson, Mikael , Fletcher, Olivia , Fostira, Florentia , Fritschi, Lin , Garber, Judy E. , García-Sáenz, José Á. , Giles, Graham G. , Godwin, Andrew K. , Goldgar, David E., Gronwald, Jacek , Hall, Per N , Hollestelle, Antoinette , Investigators, ABCTB, Investigators, HEBON, Investigators, BCFR, Investigators, OCGN, Isaacs, Claudine , Vijai, Joseph , Karlan, Beth Y. , Хуснутдинова, Э. К. , Lázaro, Conxi , Leslie, Goska , Lubiński, Jan , Mannermaa, Arto, Martens, John W.M. , Martı́nez, Marı́a Elena , Meindl, Alfons , Kapoor, Pooja M., Miller, Austin , Moserle, Lidia , Mulligan, Anna Marie , Neuhausen, Susan L. , Nevanlinna, Heli , Nielsen, Finn Cilius , Parsons, Michael T. , Pharoah, Paul D.P. , Presneau, Nadège , Radice, Paolo , Risch, Harvey A. , Robson, Mark E. , Schmidt, Marjanka K. , Schmidt, Daniel F. , Sharma, Priyanka , Shu, Xiao‐Ou , Singer, Christian F. , Southey, Melissa C. , Spurdle, Amanda B. , Swerdlow, Anthony J. , Tischkowitz, Marc D. , Toland, Amanda Ewart , Truong, Thérèse , Tung, Nadine , Vachon, Celine M. , Asperen, Christi J. van , Rensburg, Elizabeth J. van , Yannoukakos, Drakoulis , Ziogas, Argyrios , Milne, Roger L. , Zheng, Wei , Kraft, Peter , Jiang, Xia

Genetic Epidemiology | March 2, 2020 | Volume: 44 | Issue: 5 | Pages: 442-468

10.1002/gepi.22288 | PMID 32115800 Get It

AbstractPrevious transcriptome‐wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome‐wide association studies (GWAS), but analyses of breast cancer subtype‐specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta‐analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER−). We further compared associations with ER+ and ER− subtypes, using a case‐only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER– breast cancer. We further identified 30 TWAS‐significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast‐cancer gene in three of six regions harboring multiple TWAS‐significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER− breast cancer.
Ovarian and Breast Cancer Risks Associated With Pathogenic Variants in RAD51C and RAD51D
Yang, Xin , Song, Honglin , Leslie, Goska , Engel, Christoph , Hahnen, Eric , Auber, Bernd , Horváth, Judit , Kast, Karin , Niederacher, Dieter , Turnbull, Clare , Houlston, Richard S. , Hanson, Helen , Loveday, Chey , Dolinsky, Jill S. , LaDuca, Holly , Ramus, Susan J. , Menon, Usha , Rosenthal, Adam N. , Jacobs, Ian , Gayther, Simon A. , Dicks, Ed , Aittomäki, Kristiina, Ehrencrona, Hans , Borg, Åke , Kvist, Anders , Rivera, Bárbara , Hansen, Thomas van Overeem , Djursby, Malene , Lee, Andrew , Bowtell, David D.L. , Traficante, Nadia , Gruber, Stephen B., Chenevix‐Trench, Georgia , Investigators, kConFab, Castéra, Laurent , Janavičius, Ramūnas , Osório, Ana , Vega, Ana , Culver, Julie O. , Easton, Douglas F. , Meindl, Alfons , Schmutzler, Rita K., Antoniou, Antonis C. , Leslie, Goska , Ramus, Susan J , Menon, Usha , Houlston, Richard S , Vega, Ana , Auber, Bernd , Ehrencrona, Hans , Engel, Christoph , Hanson, Helen , Chenevix-Trench, Georgia , Traficante, Nadia , Bowtell, David D , Hansen, Thomas van Overeem , Nevanlinna, Heli , Pelttari, Liisa M. , Dennis, Joe , Dı́ez, Orland , Balmañà, Judith , Jensen, Allan , Kjær, Susanne K. , Høgdall, Estrid , Garber, Judy E. , Golmard, Lisa , Couch, Fergus J. , Robson, Mark E. , Gronwald, Jacek , Domchek, Susan M. , Hoya, Miguel de la , Foulkes, William D. , Tischkowitz, Marc D. , Meindl, Alfons , Pharoah, Paul D.P.

JNCI: Journal of the National Cancer Institute | February 25, 2020 | Volume: 112 | Issue: 12 | Pages: 1242-1250

10.1093/jnci/djaa030 | PMID 32107557 Get It

Abstract Background The purpose of this study was to estimate precise age-specific tubo-ovarian carcinoma (TOC) and breast cancer (BC) risks for carriers of pathogenic variants in RAD51C and RAD51D. Methods We analyzed data from 6178 families, 125 with pathogenic variants in RAD51C, and 6690 families, 60 with pathogenic variants in RAD51D. TOC and BC relative and cumulative risks were estimated using complex segregation analysis to model the cancer inheritance patterns in families while adjusting for the mode of ascertainment of each family. All statistical tests were two-sided. Results Pathogenic variants in both RAD51C and RAD51D were associated with TOC (RAD51C: relative risk [RR] = 7.55, 95% confidence interval [CI] = 5.60 to 10.19; P = 5 × 10-40; RAD51D: RR = 7.60, 95% CI = 5.61 to 10.30; P = 5 × 10-39) and BC (RAD51C: RR = 1.99, 95% CI = 1.39 to 2.85; P = 1.55 × 10-4; RAD51D: RR = 1.83, 95% CI = 1.24 to 2.72; P = .002). For both RAD51C and RAD51D, there was a suggestion that the TOC relative risks increased with age until around age 60 years and decreased thereafter. The estimated cumulative risks of developing TOC to age 80 years were 11% (95% CI = 6% to 21%) for RAD51C and 13% (95% CI = 7% to 23%) for RAD51D pathogenic variant carriers. The estimated cumulative risks of developing BC to 80 years were 21% (95% CI = 15% to 29%) for RAD51C and 20% (95% CI = 14% to 28%) for RAD51D pathogenic variant carriers. Both TOC and BC risks for RAD51C and RAD51D pathogenic variant carriers varied by cancer family history and could be as high as 32–36% for TOC, for carriers with two first-degree relatives diagnosed with TOC, or 44–46% for BC, for carriers with two first-degree relatives diagnosed with BC. Conclusions These estimates will facilitate the genetic counseling of RAD51C and RAD51D pathogenic variant carriers and justify the incorporation of RAD51C and RAD51D into cancer risk prediction models.
Shared genetic risk between eating disorder‐ and substance‐use‐related phenotypes: Evidence from genome‐wide association studies
Munn‐Chernoff, Melissa A. , Chou, Yi‐Ling, Coleman, Jonathan R. I. , Thornton, Laura M. , Walters, Raymond K. , Yılmaz, Zeynep , Baker, Jessica H. , Hübel, Christopher , Medland, Sarah E. , Hinney, Anke , Leppä, Virpi , Mattheisen, Manuel , Ripke, Stephan , Yao, Shuyang , Giusti‐Rodríguez, Paola , Hanscombe, Ken B. , Adan, Roger A.H. , Ando, Tetsuya , Berrettini, Wade H., Boehm, Ilka , Boni, Claudette, Perica, Vesna Boraska , Buehren, Katharina, Burghardt, Roland , Cassina, Matteo , Cichon, Sven , Clementi, Maurizio , Courtet, Philippe, Crowley, James J. , Danner, Unna N. , Davis, Oliver S. P. , Zwaan, Martina de, Degortes, Daniela, DeSocio, Janiece E., Dick, Danielle M., Dikeos, Dimitris, Dina, Christian , Dmitrzak‐Węglarz, Monika , Docampo, Elisa, Duncan, Laramie E. , Egberts, Karin , Ehrlich, Stefan , Escaramís, Geòrgia, Estivill, Xavier , Farmer, Anne, Favaro, Angela , Fernández‐Aranda, Fernando , Fichter, Manfred M., Fischer, Krista , Föcker, Manuel , Foretová, Lenka , Forstner, Andreas J. , Franklin, Christopher S., Gallinger, Steven , Giegling, Ina , Giuranna, Johanna, Gonidakis, Fragiskos , Gorwood, Philip , Mayora, Monica Gratacos, Guo, Yiran , Håkonarson, Håkon , Hatzikotoulas, Konstantinos , Hebebrand, Johannes , Helder, Sietske G., Herpertz‐Dahlmann, Beate, Herzog, Wolfgang , Huckins, Laura M. , Hudson, James I. , Imgart, Hartmut , Inoko, Hidetoshi , Janout, Vladimí­r , Jiménez‐Múrcia, Susana , Kalsi, Gursharan , Kaminská, Deborah , Karwautz, Andreas , Kas, Martien J. , Keski‐Rahkonen, Anna , Kiezebrink, Kirsty , Kim, Youl‐Ri , Klump, Kelly L. , Knudsen, Gun Peggy , Via, Maria C. 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Addiction Biology | February 17, 2020 | Volume: 26 | Issue: 1 | Pages: No page available

10.1111/adb.12880 | PMID 32064741 Get It

Abstract Eating disorders and substance use disorders frequently co‐occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [ r g ], twin‐based = 0.23‐0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome‐wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance‐use‐related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism‐based genetic correlations between eating disorder‐ and substance‐use‐related phenotypes. Significant positive genetic associations emerged between AUD and AN ( r g = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN ( r g = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating ( r g = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating ( r gs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co‐varying for major depressive disorder loci. The patterns of association between eating disorder‐ and substance‐use‐related phenotypes highlights the potentially complex and substance‐specific relationships among these behaviors.
Biological subtype, treatment response and outcomes in inflammatory breast cancer using data from the National Cancer Database
Kupstas, Amanda, Day, Courtney N. , Habermann, Elizabeth B. , Hieken, Tina J. , Hieken, Tina J , Habermann, Elizabeth , Hoskin, Tanya L. , Boughey, Judy C.

British Journal of Surgery | February 14, 2020 | Volume: 107 | Issue: 8 | Pages: 1033-1041

10.1002/bjs.11469 | PMID 32057107 Get It

Abstract Background Although inflammatory breast cancer (IBC) is postulated to be a distinct biological entity, practice guidelines and previous data suggest that treatment and outcomes are influenced by standard approximated biological subtype. The aim of this study was validation in a large recent National Cancer Database (NCDB) patient cohort. Methods Patients with non-metastatic IBC treated in 2010–2015 with neoadjuvant systemic therapy and surgery were identified from the NCDB. Approximated biological subtypes were categorized as oestrogen receptor-positive (ER+)/human epidermal growth factor receptor 2-negative (HER2−), ER−/HER2− and HER2+. Total pathological complete response (pCR) was defined as ypT0/ypTis, ypN0. χ2 tests were used to compare pCR rates, and Kaplan–Meier curves and Cox proportional hazards regression to analyse overall survival. Results Among 4068 patients with IBC (median age 56 years), the approximated biological subtype was ER+/HER2− in 1575 (38·7 per cent), HER2+ in 1323 (32·5 per cent) and ER−/HER2− in 1170 (28·8 per cent). A total of 3351 patients (84·0 per cent) were cN+ at presentation, with no differences across subtypes. Total pCR rates varied significantly by subtype: ER+/HER2− (6·2 per cent), HER2+ (38·8 per cent), ER−/HER2− (19·1 per cent) (P &lt; 0·001), as did breast pCR rates (10·4, 44·5 and 25·2 per cent respectively) and nodal pCR rates (16·9, 56·9 and 33·1 per cent). The 5-year overall survival rate varied significantly across subtypes (ER+/HER2− 64·9 per cent, HER2+ 74·0 per cent, ER−/HER2− 44·0 per cent; P &lt; 0·001) and by pCR within subtypes (all P &lt; 0·001). In multivariable analysis, ER−/HER2− subtype (hazard ratio 2·89 versus HER2+ as reference; P &lt; 0·001) and absence of total pCR (hazard ratio 3·23; P &lt; 0·001) predicted worse survival. Conclusion Both treatment response and survival in patients with IBC varied with approximated biological subtype, as among other invasive breast cancers. These data support continued tailoring of systemic treatment to approximated biological subtype and highlight the recent improved outcomes in patients with HER2+ disease.