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Yadav, Siddhartha

https://orcid.org/0000-0003-4630-9903

Mayo Clinic

Mayo Clinic

Citations 126

Clarifying risk-factor associations with quantitative breast tumor features: a pooled analysis of 24 studies
Adams, Daniel , Hurson, Amber N. , Ahearn, Thomas U, Andrulis, Irene L, Antoniou, Antonis C, Auvinen, Päivi, Bane, Anita, González, Amy Berrington de , Bodelon, Clara, Bolla, Manjeet K. , Borrero, Maria , Brenner, Hermann, Brock, Ian W., Camp, Nicola J. , Cessna, Melissa H., Chanock, Stephen J, Chenevix-Trench, G, Copson, ER, Fh, Couch, Devilee, P, Easton, Douglas F, Eccles, Diana, Figueroa, Jonine D, Glendon, Gord, Hamann, U, Hartman, Mikael, Heemskerk-Gerritsen, Bernadette A M, Hodge, James M, Holleczek, Bernd, Hollestelle, A M, Mj, Hooning, Investigators, kConFab, Amor, David, Andrews, Lesley , Antill, Y , Rl, Balleine, Beesley, Jonathan, Bennett, Ian, Bogwitz, Michael, Bodek, Simon, Botes, Leon, Brennan, Meagan, Brown, Melissa, Buckley, Michael, Caldon, Liz, Campbell, Ian, Chakrabarti, Anannya , Chauhan, Deepa, Chauhan, Manisha, Christian, Alice, Cohen, Paul, Colley, Alison, Cui, James, Courtney, Eliza, Cummings, Margaret, Delatycki, Martin, Dickson, Rebecca, Dixon, Joanne, Duijf, Pascal, Edwards, Stacey, Farshid, Gelareh , Fellows, AM, Fenton, Georgina, Field, Michael, Flanagan, James, Fong, Peter, Forrest, Laura, Fox, Stephen, French, Juliet , Friedlander, Michael, Gattas, Mike, George, Peter, Greening, Sian, Harris, Marion, Harraka, Philip, Hayward, Nick, Hoskins, Cass , Hunt, Clare, James, Paul, Jenkins, Mark, Kidd, Alexa, Koehler, Jessica, Kollias, J, Lakhani, Sunil, Lawrence, Mitchell, Lee, Jason , Li, Shuai, Lindeman, Geoff, Lippey, Jocelyn, Lipton, Lara, Loi, Sherene, Mann, Graham, Marsh, Deborah, McLachlan, Sue Anne, Reed, Amy McCart, Milne, Roger, Nightingale, Sophie , O’Connell, Shona, O’Sullivan, Sarah, Reilly, Robert O', Ortega, David Gallego, Pachter, Nick, Pang, Jia-Min, Pathak, Gargi, Patterson, Briony, Phillips, Kelly, Pieper, Ellen, Ramus, Susan, Rickard, Edwina, Ragunathan, Abi, Robinson, Bridget, Skandarajah, Anita, Salisbury, Elizabeth, Saunders, Christobel, Saunus, Jodi, Scott, Rodney, Scott, Clare, Sexton, Adrienne, Shaw, Joanne, Shelling, Andrew, Srinivasa, Shweta , Simpson, Peter, Mc, Southey, Spurdle, Amanda, Taylor, Jessica, Taylor, Renea, Thorne, Heather, Trainer, A H, Tucker, Kathy , Visvader, Jane, Walker, Logan, Williams, Rachael, Winship, I, Young, Mary Ann, Zaheed, Milita , Investigators, S On Behalf Of The Chlovis Study, Tan, Veronique Kiak Mien , Lim, Geok Hoon, Tan, Ern Yu , Tan, Su-Ming, Iau, Philip Tsau Choong , Jakubowska, A, Jones, Michael E. , Jones, Louise , Jones, Brandt, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske , Lawrence, Scott, Li, J M, Lubiński, J, Mannermaa, Arto, Manoochehri, Mehdi, Martens, John W M, Mesker, Wilma E, Muhammad, Noor , Obi, Nadia, Olson, Janet E, Patel, Alpa V, Prajzendanc, Karolina , Ruddy, Kathryn J, Safizadeh, Fatemeh , Schöttker, Ben, Tengström, Maria , Le, Teras, Timmermans, M, Tollenaar, RA, Vachon, Celine M, Wang, Q, Yang, Xiaohong R, Zamora, M Pilar, Chang-Claude, Jenny, Schmidt, M K, Pharoah, Paul D P, Abubakar, Mustapha, Eccles, Diana , Ahearn, Thomas U. , Eccles, Diana , Jones, Michael E , Jones, J. Louise , Berrington de Gonzalez, Amy , Antoniou, Antonis C. , Bane, Anita, Behrens, Sabine , Białkowska, Katarzyna , Bodelón, Clara , Brenner, Hermann , Broeks, Annegien , Chanock, Stephen Jacob , Chenevix‐Trench, Georgia , Copson, Ellen , Couch, Fergus J, Cox, Angela , Cross, Simon S. , Devilee, Peter , Dunning, Alison M. , Easton, Douglas F. , Figueroa, Jonine D. , Glendon, Gord, González‐Neira, Anna , Hartikainen, Jaana M. , Hartman, Mikael , Heemskerk‐Gerritsen, Bernadette A. M. , Ho, Peh Joo , Hodge, James M. , Holleczek, Bernd , Hollestelle, Antoinette , Hooning, Maartje J. , Investigators, kConFab, Balleine, Rosemary L. , Bennett, Ian, Bogwitz, Michael R. , Bodek, Simon , Botes, Leon P., Buckley, Michael , Cohen, Paul A. , Crook, Ashley , Courtney, Eliza , Dawson, Sarah‐Jane , DeFazio, Anna , Delatycki, Martin B. , Duijf, Pascal H. G. , Fellows, Andrew, Fenton, Georgina L. , Flanagan, James M. , Forrest, Laura Elenor , Friedländer, Michael , Harraka, Philip A. , Kidd, Alexa, Kollias, James, Lakhani, Sunil R. , Lawrence, Mitchell, Lindeman, Geoffrey J. , Lippey, Jocelyn , Loi, Sherene , Reed, Amy E. McCart , Milne, Roger L , Gallego‐Ortega, David , Pathak, Gargi, Pearn, Amy , Robinson, Bridget A. , Skandarajah, Anita Rohini , Salisbury, Elizabeth, Saunders, Christobel , Saunus, Jodi M. , Savas, Peter Stephen , Sexton, Adrienne , Shelling, Andrew Neil , Simpson, Peter, Spurdle, Amanda B. , Visvader, Jane E. , Williams, Rachael, Tan, Bien‐Keem , Lim, Geok Hoon , Kaaks, Rudolf , Lawrence, Scott M. , Lissowska, Jolanta , Mannermaa, Arto , Manoochehri, Mehdi, Mesker, Wilma E. , Mulligan, Anna Marie , Obi, Nadia , Olson, Janet E. , Osório, Ana , Ottewell, Penelope Dawn , Patel, Alpa V , Pita, Guillermo , Rashid, Muhammad Usman , Ruddy, Kathryn J. , Schöttker, Ben , Seibold, Petra , Tapper, William , Teras, Lauren R , Timmermans, Mieke, Vachon, Celine M. , Wesseling, Jelle , Yadav, Siddhartha , Chang‐Claude, Jenny , Schmidt, Marjanka K. , Abubakar, Mustapha , García‐Closas, Montserrat

JNCI: Journal of the National Cancer Institute | July 18, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/jnci/djag244 Get It

Abstract Background Breast cancer is etiologically heterogeneous, but which risk factors differ in their associations across tumor subtypes remains unclear. We conducted a large, pooled analysis to evaluate independent, dose-response associations between breast cancer risk factors and quantitative tumor features. Methods Analyses of 15,731 invasive breast cancers from 24 studies evaluated associations (p-trend) between reproductive and hormonal factors, body mass index (BMI), alcohol, smoking, and family history in relation to quantitative immunohistochemistry measures on tissue microarrays (ER, PR, HER2, KI67, TP53) and tumor grade. Analyses in a subset of 10 population-based studies estimated subtype-specific odds ratios (ORs) comparing cases to controls. A Bayesian False Discovery Probability (BFDP) <0.2 was used to identify associations with strong statistical evidence. Results Nulliparity and later age at menopause were associated with higher ER-positivity (p-trend=0.021 and 0.001, respectively), with corresponding OR[ER+] (95% CI) = 1.49 (1.16-1.90) for nulliparous vs. parous and 1.07 (1.03-1.11) per 5 years. Current combined menopausal hormone therapy (MHT) use was associated with lower grade (p-trend<0.001), with OR [grade1] = 3.37 (2.69-4.21) for current vs. never users. Higher BMI was associated with lower ER-positivity and higher grade in premenopausal women (p-trend<0.001 and <0.001), with OR[ER+] = 0.80 (0.74-0.87) and OR[grade1] = 0.75 (0.63-0.88) per 5 units, and with higher PR-positivity and higher grade in postmenopausal women (p-trend<0.001 and <0.001), with OR[PR+] = 1.08 (1.03-1.14) and OR[grade 3] = 1.10 (1.04-1.17) per 5 units. Conclusion This pooled analysis of 15,731 cases showed that nulliparity, age at menopause, MHT, and BMI have independent, dose-response associations with ER, PR, and grade, clarifying patterns of etiologic heterogeneity. Associations with HER2, KI67 and TP53, or other risk factors did not meet our threshold for strong evidence.
PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups
Levi, Hagai, Wang, Qin, Bolla, Manjeet K. , Dennis, Joe, Andrulis, Irene L., Antonenkova, Natalia, Au, Chun Hang, Freeman, Laura E. Beane, Bermisheva, Marina, Bodelon, Clara, Bojesen, Stig E., Brenner, Hermann, Brock, Ian W., Brüning, Thomas, Byers, Helen, Camp, Nicola J., Castelao, Jose E., Choi, Ji-Yeob, Chung, Wendy K., Collaborators, NBCS, Colonna, Sarah, Couch, Fergus J., Daly, Mary B., Devilee, Peter, Dörk, Thilo, Eliassen, A. Heather, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Faw, Kierstin, García-Closas, Montserrat, Haiman, Christopher A., Hamann, Ute, Hartman, Mikael, Hooning, Maartje J., Hoppe, Reiner , Howell, Sacha J., Investigators, ABCTB, Investigators, SGBCC, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Jernström, Helena, Joseph, Vijai, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K., Kiprijanovska, Sanja , Koutros, Stella, Kristensen, Vessela N., Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Nicole L. , Marchand, Loic Le, Li, Shuai, Li, Jingmei, Lophatananon, Artitaya, Mannermaa, Arto, Matsuo, Keitaro, Maxwell, Whitney, Muir, Kenneth, Nevelsteen, Ines, Obi, Nadia, O’Brien, Katie M., Ofit, Kenneth, Ottewell, Penelope D., Patel, Alpa V., Plaseska-Karanfilska, Dijana, Prajzendanc, Karolina , Ramachandran, Dhanya, Rashid, Muhammad U., Saloustros, Emmanouil, Sandler, Dale P., Schöttker, Ben, Simard, Jacques, Southey, Melissa C., Stone, Jennifer, Teras, Lauren R., Truong, Thérèse, Weinberg, Clarice R., Yamaji, Taiki , Zheng, Wei, Easton, Douglas F., Elkon, Ran , Lambrechts, Diether , Lambrechts, Diether , Kurian, Allison W. , Li, Shuai , Lambrechts, Diether , Lambrechts, Diether , Kurian, Allison W , Li, Shuai , Levi, Hagai , Au, Chun , Augustinsson, Annelie , Freeman, Laura E. Beane , Behrens, Sabine , Bermisheva, Marina , Bodelón, Clara , Bogdanova, Natalia , Brenner, Hermann , Brock, Ian W., Brüning, Thomas , Byers, Helen, Camp, Nicola J. , Castelao, Jose E. , Choi, Ji-Yeob , Chung, Wendy K. , Colonna, Sarah V. , Couch, Fergus J. , Czene, Kamila , Daly, Mary B., Devilee, Peter , Dörk, Thilo, Evans, D. Gareth , Fasching, Peter A., Faw, Kierstin, Gago-Domínguez, Manuela , García‐Closas, Montserrat , Haiman, Christopher A. , Hartman, Mikael , Ho, Vikki , Ho, Peh Joo , Hooning, Maartje J. , Investigators, S On Behalf Of The Chlovis Study, Iwasaki, Motoki , Jakubowska, Anna, Jernström, Helena , Joseph, Vijai, Kaaks, Rudolf , Хуснутдинова, Э. К. , Koutros, Stella , Kristensen, Vessela N., Kwong, Ava , Marchand, Loı̈c Le , Li, Jingmei, Lophatananon, Artitaya , Mannermaa, Arto , Nevelsteen, Ines , Obi, Nadia , O’Brien, Katie M. , Ottewell, Penelope Dawn , Peterlongo, Paolo , Plaseska‐Karanfilska, Dijana , Radice, Paolo , Ramachandran, Dhanya , Romero, Atocha , Saloustros, Emmanouil , Sandler, Dale P. , Schöttker, Ben , Simard, Jacques , Southey, Melissa C. , Sugier, Pierre‐Emmanuel , Taylor, Jack A. , Teras, Lauren R. , Truong, Thérèse , Weinberg, Clarice R. , Yadav, Siddhartha , Dunning, Alison M. , Mavaddat, Nasim , Easton, Douglas F. , Michailidou, Kyriaki , Shamir, Ron

No container title available | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.12.26357860 Get It

Abstract Polygenic risk scores (PRSs), which quantify inherited susceptibility to complex traits and diseases, have emerged as valuable tools for risk stratification and precision medicine. Despite their promise, PRS developed on European cohorts often demonstrate substantially reduced predictive accuracy in non-European populations, due to differences in genetic architecture. The disproportionate representation of European ancestry cohorts in genome-wide association studies (GWAS) leads to inequitable deployment of PRS technologies across diverse populations. Here, we introduce PRANA (Polygenic Risk Adaptation via Neural-network Architecture), a deep learning framework that adapts an existing PRS developed on one population to other ancestries. Unlike methods that require large-scale GWAS in the target population, PRANA leverages pre-trained PRS models derived from European cohorts and adapts them using modestly sized cohorts from the target population. We evaluated PRANA on seven complex traits in South Asian, East Asian and Ashkenazi Jewish populations, as well as in selected smaller East Asian subpopulations where the scarcity of training data poses a particular challenge. PRANA mostly improved predictive performance of the baseline PRS models by 5%-20% in terms of effect size (β) and Nagelkerke’s R², and, in most cases, outperformed existing cross-ancestry multi-PRS approaches. These results highlight PRANA as a scalable and practical strategy to reduce disparities in genomic risk prediction and advance the equitable application of PRS in diverse populations.
First-in-human phase 1/2 study of ETX-19477, an oral, potent, and selective PARG inhibitor, in patients with advanced solid tumors (ERADIC8).
Rosen, Ezra, Advani, Pooja , Banda, Kalyan , Chan, Nancy, McKean, William Bennion , Spira, A, Yap, Timothy A., Zarrabi, Kevin , Trehan, Sanjay K., McCormick, Daniel, Holleran, John P., Stansfield, Ryan, Santini, Angelina M., Veal, James M., Stafford, Jeffrey, Penson, Richard T. , Batalini, Felipe , Cecchini, Michael , Chan, Nancy, Spira, Alexander I. , Yadav, Siddhartha , Yap, Timothy Anthony , Bain, Gretchen , Stansfield, Ryan K., Stafford, Jeffrey A.

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 3109-3109

10.1200/jco.2026.44.16_suppl.3109 Get It

3109 Background: Poly(ADP-ribose) glycohydrolase (PARG) is an enzyme that catalyzes the removal of poly-ADP-ribose (PAR) chains from proteins during DNA damage repair. PARG inhibition leads to selective cell death in tumors with underlying replication fork defects, including BRCAm tumors, through a mechanism distinct from PARP inhibition. ETX-19477 is an oral, potent, and selective PARG inhibitor that shows robust preclinical activity in mouse models of ovarian, breast, and gastric cancers. Methods: ERADIC8 is an open-label, multicenter, Phase 1/2 study, consisting of two parts, dose escalation and dose expansion. A Bayesian Optimal Interval Design was used to enroll patients (pts) into dose escalation cohorts, with enrichment for pts with BRCAm high grade serous ovarian (HGSOC) and breast cancers. The primary objective is to assess safety/tolerability of ETX-19477 and define the maximum tolerated dose (MTD) and recommended Phase 2 dose(s). Secondary and exploratory objectives include pharmacokinetics, pharmacodynamics, and preliminary anti-tumor activity per RECIST v1.1. ETX-19477 is given orally once or twice daily in 21-day cycles. Results: As of Jan 6 2026, 45 pts were enrolled into the study across 11 dose levels (range: 80-750 mg QD, 190-350 mg BID). Tumor types included ovarian (n=24, BRCAm: 18), breast (n=8, BRCAm: 7), endometrial (n=6, BRCAm: 0), colorectal (CRC, n=3, BRCAm: 1), and other (n=4, BRCAm: 0) cancers. Treatment-related AEs (TRAEs; any grade) occurring in >20% of pts were nausea (53%), vomiting (38%), and fatigue (24%). The only Gr3 TRAE occurring in >5% of pts was neutropenia (16%). There was one Gr4 TRAE of neutropenia in 1 pt (2%) and no Gr5 TRAEs. ETX-19477 exposure is dose proportional, and the BID regimen achieves >85% PARG inhibition throughout the dosing interval in a blood-based PAR accumulation pharmacodynamic assay. As of the data cutoff, dose escalation is ongoing at 350 mg BID (MTD has not been defined) and dose expansion is ongoing at 200-300 mg BID. Among BRCAm, HGSOC pts enrolled at BID dose levels, there were 7 evaluable pts with a median of 4 prior lines of therapy (range 2–11): 2 pts achieved a partial response (PR, 29%) and 3 pts achieved stable disease (SD, 43%). Both pts with PRs were platinum-resistant and received prior PARP inhibitor treatment. 1 pt with BRCAm CRC remains on active therapy (250 mg BID) with SD for 7 months. Conclusions: ETX-19477 was well tolerated and showed anti-tumor activity in heavily pretreated pts with BRCAm, platinum-resistant HGSOC during dose escalation. These findings provide the first clinical proof-of-concept of PARG inhibition in HGSOC. ETX-19477 is being further evaluated in the dose expansion phase of the study. Clinical trial information: NCT06395519 .
Real-world evaluation of germline pathogenic variants (PVs) in cancer-predisposition genes among unselected South Asian women with breast or ovarian cancer.
Shilpakar, Ramila , Karki, Aditi, Mina, Syeda A. , Yeakub, Nadia, Acharya, Bibek , Acharya, Sandhya Chapagain , Naseer, Hafsa, Khatun, Nazrina , Akhtar, Parveen , Mukhopadhyay, Asima , Pruthi, Sandhya, Goetz, Matthew P., Couch, Fergus J., Aziz, Zeba , Yadav, Siddhartha , Pramanik, Raja , Kataria, Babita , Pruthi, Sandhya , Bakkum‐Gamez, Jamie N. , Goetz, Matthew P. , Kaufmann, Scott H. , Couch, Fergus J. , Islam, Muhammad Rafiqul

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 10513-10513

10.1200/jco.2026.44.16_suppl.10513 Get It

10513 Background: Prior reports of high frequency of BRCA1 and BRCA2 ( BRCA1/2 ) PVs among South Asian women from Bangladesh, India, Nepal, and Pakistan with breast or ovarian cancer require validation in large prospective unselected cohorts. Methods: Individual-level anonymized patient data from two prospective cohorts were pooled to evaluate the prevalence of germline PVs among South Asian women: the South Asian Regional Alliance for Hereditary Cancers (SARAH Consortium) in Bangladesh, Nepal, and Pakistan, and the previously reported Nurse-led Genetic Counseling and Awareness (NuGenA) expansion cohort in India. Both studies enrolled consecutive cases of histologically confirmed newly diagnosed breast or epithelial ovarian cancer irrespective of age at diagnosis or family history. In both studies, participants completed questionnaires on personal and family history (first-, second- or third-degree) and provided blood for germline genetic testing after written consent. PVs in cancer predisposition genes including ATM, BARD1, BRCA1, BRCA2, BRIP1, CHEK2, MLH1, MSH2, MSH6, PALB2, RAD51C, RAD51D, and TP53 were identified as part of the studies utilizing a multigene panel and the results were returned to ordering clinicians. The data cutoff date for this analysis was November 30, 2025. Results: The analysis included 1,711 South Asian women with breast (n=1,210) or ovarian (n=501) cancer. A family history of breast or ovarian cancer was noted in 177 (10.3%). Among breast cancers, 94% were invasive, 84% were ductal, 35% were triple-negative and over two-thirds presented with nodal involvement. Germline PVs across 13 predisposition genes were observed in 17.7% of breast and 35.9% of ovarian cancers. Notably, BRCA1/2 PVs accounted for most of these PV (13.6% of breast and 28.3% of ovarian cancer cases) with PVs in all genes except BRCA1/2 under 1%. The frequency of BRCA1/2 PVs was 24.4% in triple-negative breast cancer and 8.0% in ER+/HER2-. BRCA1/2 PV carriers were diagnosed with breast cancer at a younger age than non-carriers (Median age: 42 vs 46 years, P<0.001), with no age difference observed in ovarian cancer (50 vs. 51 years, P=0.79). Notably, among the 306 BRCA1/2 PV carriers identified, 229 (74.2%) did not report a family history of breast or ovarian cancer. Conclusions: We confirm a high prevalence of BRCA1/2 PVs among unselected South Asian women with either breast or ovarian cancer. The observations of younger age at cancer diagnosis, and low rates of family history support the need for population-specific germline genetic testing and risk management strategies in South Asia.
Abstract CT022: First data disclosure of the Phase I trial of the first in class combination of WEE1 inhibitor zedoresertib with PKMYT1 inhibitor lunresertib in patients with advanced solid tumors harboring CCNE1, FBXW7, or PPP2R1A genomic alterations
Yap, Timothy A., Aggarwal, Rahul, Carneiro, Benedito A. , Duska, Linda, LoRusso, Patricia, Lheureux, Stéphanie , Mathews, Cara, Weiss, Mia , Tymon-Rosario, Joan, Colón‐Otero, Gerardo , Garrido-Laguna, Ignacio, Lee, Elisabeth K., Wessen, Jonathan, Piggott, Luke, Dozio, Vito , Luong, Noemie, Yap, Timothy Anthony , Aggarwal, Rahul , Fontana, Elisa , Højgaard, Martin , LoRusso, Patricia , Yadav, Siddhartha , Mathews, Cara Amanda , Moy, Ryan H. , Lakhani, Nehal J. , Tymon‐Rosario, Joan , Garrido‐Laguna, Ignacio , Imedio, Esteban Rodrigo , Piggott, Luke , Mas, Christophe , Schram, Alison M.

Cancer Research | April 17, 2026 | Volume: 86 | Issue: 8_Supplement | Pages: CT022-CT022

10.1158/1538-7445.am2026-ct022 Get It

Abstract Background: Zedoresertib (zedo) and lunresertib (lunre) are oral, highly selective WEE1 and PKMYT1 inhibitors, respectively. Inhibition of these targets leads to premature mitotic entry, and in the presence of high replication stress causes mitotic catastrophe. In preclinical models, the combination of the zedo and lunre is synthetically lethal, supporting this first-in-class trial combination (NCT04855656). Methods: In this Phase 1 trial, patients (pts) with advanced solid tumors with CCNE1 amplification (amp), or FBXW7 or PPP2R1A deleterious mutations (mut) were treated with zedo (daily dosing) plus lunre (3 days on/4 days off), guided by preclinical modelling of the pharmacological contributions of WEE1 and PKMYT1 inhibition in achieving tumor regression. Objectives included safety, tolerability, recommended doses (RD), pharmacokinetics (PK), pharmacodynamics (PDy), antitumor activity and molecular response rate (MRR; ≥50% decline in circulating tumor DNA). Results: As of 18 Nov 2025, 54 pts (55.6% female ; prior lines of therapy 1 - 9, main cancer types: ovarian (OC) (35.2%), colorectal (31.5%), pancreatic (7.4%) and breast (5.6%)) were treated at 5 dose levels (DL) from 150 mg to 260 mg of zedo plus 60 mg or 80 mg of lunre. The most common ≥G3 treatment related adverse events (TRAEs) were anemia (9.3%), neutropenia (7.4%) and Palmar Plantar Erythrodysesthesia (PPE) (7.4%). There were no G5 TRAEs. 4 (9.3%) of 54 pts had a dose-limiting toxicity (G3 pain in extremity and G1 rash in same pt (zedo 150 mg / lunre 60 mg), G3 rash (200 mg / 80 mg), G3 PPE (260 mg / 60 mg), G3 vomiting (260 mg / 60 mg)). PK/PDy analyses showed dose-dependent exposures for both zedo and lunre and target engagement in most pts, with reductions in pCDK1 Thr14 and Tyr15 and yH2AX induction. 24 (55.5%) of 44 RECIST v1.1 evaluable pts showed tumor shrinkage (3 cCR, 5 uPR, 15 SD and 1 PD). Of 16 evaluable pts with advanced OC (12 platinum resistant , 2 unknown and 2 platinum sensitive) with CCNE1 amp (13 pts) or FBXW7 mut (3 pts), 13 (81.3%) showed tumor shrinkage (3 cCR, 3 uPR and 7 SD); clinical benefit rate (pts with CR, PR or SD) was 93.8%; 7 (43.8%) OC pts were on treatment for at least 16 weeks; 4 (25%) OC pts achieved GCIG CA-125 responses. Of 23 pts with a post baseline ctDNA analysis, a MRR of 39% was seen across all DLs. Conclusion: We report the first disclosure of clinical data of the first-in-field synthetic lethal combination of WEE1 and PKMYT1 inhibitors in a molecularly defined pt population. The safety profile of zedo and lunre was expected and manageable. Promising antitumor activity was observed in pts with CCNE1 amp or FBXW7 mut solid tumors, especially pts with OC. Further dose optimization of this combination is ongoing. Citation Format: Timothy A. Yap, Rahul Aggarwal, Elisa Fontana, Martin Hojgaard, Benedito A. Carneiro, Linda Duska, Patricia LoRusso, Siddhartha Yadav, Stephanie Lheureux, Cara Mathews, Ryan H. Moy, Nehal Lakhani, Mia Weiss, Joan Tymon-Rosario, Gerardo Colon-Otero, Ignacio Garrido-Laguna, Elisabeth K. Lee, Esteban Rodrigo Imedio, Jonathan Wessen, Luke Piggott, Vito Dozio, Noemie Luong, Christophe Mas, Alison M. Schram. First data disclosure of the Phase I trial of the first in class combination of WEE1 inhibitor zedoresertib with PKMYT1 inhibitor lunresertib in patients with advanced solid tumors harboring CCNE1, FBXW7, or PPP2R1A genomic alterations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(8_Suppl):Abstract nr CT022.
The Human Male Mammary Gland has Similar Epithelial Populations to Female but Distinct Composition and Transcriptional Properties
Ibañez-Rios, M. Iliana , Aalam, Syed Mohammed Musheer , Ritting, Megan L. , Jore, Ashlyn, Chaludia, Keyur, Emperumal, Chitra Priya , Jakub, James W, McLaughlin, Sarah A. , Degnim, Amy C, Boughey, Judy C. , Couch, Fergus J. , Sadanandam, Anguraj , Radisky, Derek, Knapp, David J.H.F., Degnim, Amy C. , Jakub, James W. , Boughey, JC , Couch, Fergus J. , Jakub, James W , Degnim, Amy C , Yadav, Siddhartha , Sadanandam, Anguraj , Sherman, Mark E , Radisky, Derek C , Knapp, David J H F , Kannan, Nagarajan , Musheer Aalam, Syed Mohammed , Yadav, Siddhartha , Sherman, Mark E. , Radisky, Derek C. , Knapp, David J. H. F. , Kannan, Nagarajan

No container title available | March 31, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.03.27.714915 Get It

ABSTRACT The normal adult male breast has not been characterized at single-cell resolution, leaving the cellular basis of male breast cancer (MBC) biology undefined. Here we present an integrated single-cell RNA sequencing atlas of the adult human breast comprising 174,471 cells from 17 donors (3 male, 14 female), including 18,117 male-derived cells. This revealed that the male breast retains all three epithelial populations, basal (BC), luminal progenitor (LP), and luminal committed cells (LC), but with an increase in LC at the expense of BC and LP across all three male donors. Male LC were distinguished from female by elevated ESR1 and PGR mRNA, enrichment of RNA processing and ribosome biogenesis programs, reduced inflammatory cytokine and growth factor signaling, elevated estradiol gene set enrichment scores, and higher inferred activity of developmental patterning transcription factors. This pattern was observed across differential expression, gene ontology, ligand profiling, and regulon-based analyses, and was not restricted to sex chromosome-linked gene expression. This is consistent with the near-universal estrogen receptor (ER) positivity that characterizes MBC clinically. This atlas provides the first cellular and transcriptional reference for the normal male breast and a resource for investigating sex differences in mammary biology, germline susceptibility variant interpretation, and modeling breast malignancies.
Landscape of somatic genetic alterations and PAM50 intrinsic subtypes in breast cancer associated with germline pathogenic variants in DNA-repair genes
Yadav, Siddhartha , Reid, Sonya , Yilma, Binyam , Fragkogianni, Stamatina, Whisenant, Jennifer G. , Weidner, Anne , Rajagopal, Padma Sheila , Huang, Minxuan , Mauer, Elizabeth , Arafa, Ali T., Chao, Calvin, Antonarakis, Emmanuel S, Kurian, Allison, Couch, Fergus J, Pal, Tuya, Kurian, Allison W. , Mauer, Elizabeth , Arafa, Ali T. , Arafa, Ali , Teslow, Emily A , Antonarakis, Emmanuel S , Kurian, Allison W , Couch, Fergus J. , Pal, Tuya , Yadav, Siddhartha , Fragkogianni, Stamatina , Weidner, Anne , Chao, Calvin Y. , Teslow, Emily A. , Antonarakis, Emmanuel S. , Couch, Fergus J. , Pal, Tuya

JNCI: Journal of the National Cancer Institute | March 11, 2026 | Volume: 118 | Issue: 8 | Pages: 1416-1424

10.1093/jnci/djag070 Get It

Abstract Background The association of germline pathogenic and likely pathogenic variants (GPVs) in hereditary breast cancer genes with underlying tumor biology and clinical outcomes remains incompletely understood. This study characterized differences in somatic alterations and intrinsic subtypes between sporadic and hereditary breast cancers associated with GPVs in ATM, BRCA1, BRCA2, CHEK2, or PALB2. Methods This retrospective cohort study included women with breast cancer and an ATM, BRCA1, BRCA2, CHEK2, or PALB2 GPV who had undergone tumor sequencing and whole transcriptome RNA expression analysis. Clinicopathological features, intrinsic subtypes, somatic alterations, and survival were compared by GPV status and immunohistochemistry-defined subtype and to sporadic cases. All statistical significance tests were 2-sided. Results The 4988 women with breast cancer in this study included 98 BRCA1, 126 BRCA2, 74 PALB2, 54 ATM, and 83 CHEK2 GPVs. Compared with sporadic cases, hormone receptor–positive/(ERBB2) formerly HER2–negative tumors in BRCA1 GPVs were statistically significantly enriched for basal subtype (45.5% vs 11.4%; P &lt; .001), while CHEK2 carriers had a higher prevalence of luminal A subtype (80.4% vs 60.3%; P = .006). In hormone receptor–positive/(ERBB2)-negative breast cancers, BRCA1 GPVs were enriched for TP53 alterations (84.6% vs 29.8%; q &lt; 0.001), ATM GPVs with FGFR1 alterations (35.4% vs 12.7%; q = 0.04), and BRCA2 GPVs with APC alterations (10.1% vs 1.5%; q = 0.004). Conversely, BRCA2 GPVs were inversely associated with PIK3CA alterations (13.0% vs 34.1%; q = 0.005) and CHEK2 GPVs with TP53 alterations (8.0% vs 29.8%; q = 0.02). Conclusions The GPVs in BRCA1, BRCA2, ATM, CHEK2, and PALB2 are associated with distinct intrinsic breast cancer subtypes and somatic genomic alterations. These findings may enhance precision in risk stratification and guide personalized treatment strategies.
Management of Cancer During Pregnancy: ASCO Guideline
Loren, Alison W. , Lacchetti, Christina , Amant, Frédéric , Carey, Lisa A. , Christian, Nicole , Clark, Caroline C. , Dizon, Don S. , Hudson, Melissa M. , Maués, Julia , Peterson, Erika, Prowell, Tatiana M. , Raab, Rachel, Saeed, Hina , Watson, Katie, Yadav, Siddhartha , Carey, Lisa A , Christian, Nicole , Clark, Caroline , Dizon, Don S , Henry, Melissa , Hudson, Melissa M , Maues, Julia , Prowell, Tatiana M , Rogers, Jane E , Sekeres, Mikkael A , Taylor, Jolyn S , Van Loon, Katherine , Wallace, W Hamish , Yadav, Siddhartha , Partridge, Ann H , Amant, Frederic , Cardonick, Elyce H. , Rogers, Jane E. , Sekeres, Mikkael A. , Loon, Katherine Van , Partridge, Ann H.

Journal of Clinical Oncology | December 11, 2025 | Volume: 44 | Issue: 3 | Pages: 200-251

10.1200/jco-25-02115 Get It

ASCO Guidelines provide recommendations with comprehensive review and analyses of the relevant literature for each recommendation, following the guideline development process as outlined in the ASCO Guidelines Methodology Manual . ASCO Guidelines follow the ASCO Conflict of Interest Policy for Clinical Practice Guidelines . Clinical Practice Guidelines and other guidance (“Guidance”) provided by ASCO is not a comprehensive or definitive guide to treatment options. It is intended for voluntary use by clinicians and should be used in conjunction with independent professional judgment. Guidance may not be applicable to all patients, interventions, diseases or stages of diseases. Guidance is based on review and analysis of relevant literature, and is not intended as a statement of the standard of care. ASCO does not endorse third-party drugs, devices, services, or therapies and assumes no responsibility for any harm arising from or related to the use of this information. See complete disclaimer in Appendix 1 and Appendix 2 (online only) for more. PURPOSE To provide guidance on the recommended management of cancer in pregnant patients. METHODS A multidisciplinary Expert Panel convened and conducted a systematic review of the literature. RESULTS The systematic review identified 450 eligible studies. Much of the evidence consisted of observational data, case series, and case reports. RECOMMENDATIONS Management of cancer during pregnancy should be grounded in a values-based informed-consent process outlining maternal and fetal risks and anticipated benefits. Diagnostic evaluation should follow the as low as reasonably achievable (ALARA) principle, with timing of diagnostic studies individualized based on urgency of cancer detection, potential dangers of delay, and the balance of risks to both the pregnant patient and her embryo or fetus. Due to significant risk of harm to the developing embryo and/or fetus, systemic therapy should be deferred until the second trimester. Methotrexate, hormonal therapies, human epidermal growth factor receptor 2–targeted agents, vascular endothelial growth factor and poly (ADP-ribose) polymerase inhibitors, antibody-drug conjugates, and all cellular therapies are contraindicated during pregnancy, regardless of gestational age. For patients who wish to continue their pregnancy, delivery should be planned at or after 37 weeks, with the final chemotherapy dose scheduled 2-4 weeks before birth. Referral to psychosocial support services is essential to address emotional and practical challenges, reduce distress, and support shared decision making. Additional information is available at www.asco.org/survivorship-guidelines .
Pathogenic Variants, Family History, and Cumulative Risk of Breast Cancer in US Women
Keil, Alexander P. , Taylor, Jack A. , Yadav, Siddhartha , Culver, Hoda Anton, Auer, Paul L. , Bodelón, Clara , Haiman, Christopher A., Lindströem, Sara, Martinez, Maria Elena, Nathanson, Katherine L. , Patel, Alpa V. , Penney, Kathryn L., Ruddy, Kathryn J. , Teras, Lauren R., Vachon, Celine M. , Weitzel, Jeffrey N. , Yao, Song, Weitzel, Jeffrey N , Yadav, Siddhartha , Taylor, Jack A , Nathanson, Katherine L , O’Brien, Katie M. , Weinberg, Clarice R. , Polley, Eric C. , Boddicker, Nicholas , Hu, Chunling , Ambrosone, Christine B. , Brantley, Kristen D. , Burnside, Elizabeth S. , Chen, Fei , Domchek, Susan M. , Eliassen, A. Heather , Hodge, James M. , Kraft, Peter , Lacey, James V. , Neuhausen, Susan L. , Olson, Janet E. , Palmer, Julie R. , Penney, Kathryn , Scott, Christopher G. , Teras, Lauren R. , Trentham‐Dietz, Amy , Vachon, Celine M. , Yao, Song , Zirpoli, Gary , Couch, Fergus J. , Sandler, Dale P.

JAMA Oncology | October 9, 2025 | Volume: 11 | Issue: 12 | Pages: 1458

10.1001/jamaoncol.2025.3875 Get It

Importance Inherited pathogenic variants (PVs) in known predisposition genes can greatly increase breast cancer risk, but the combined impact of PV status, family history, and other factors on breast cancer risk in the general US population has not been well described. Objective To evaluate population-based breast cancer risk estimates for those with established PVs overall and stratified by first-degree family history of breast cancer and other factors. Design, Setting, and Participants This study used pooled data from 13 US-based breast cancer case-control studies participating in the Cancer Risk Estimates Related to Susceptibility (CARRIERS) consortium. Enrollment for individual studies occurred between 1976 and 2013, and results are based on data released March 2023, with analyses conducted from June 2022 to July 2025. Exposures PVs, breast cancer family history, self-reported race and ethnicity, and established risk factors. Main Outcomes and Measures Breast cancer rate ratios for PVs in 7 genes were estimated from the CARRIERS consortium. PV status and incidence and mortality statistics were combined using the Individualized Coherent Absolute Risk Estimation (iCARE) model to estimate conditional cumulative breast cancer risks and 95% CIs, stratified by family history and standardized to the US population. Models that incorporated population-based data and published estimates for established epidemiologic risk factors were also evaluated. Results A total of 67 692 women were studied, including 33 841 who were diagnosed with breast cancer. PVs in ATM , BRCA1 , BRCA2 , CHEK2 , and PALB2 were strongly associated with breast cancer risk, with BRCA1 and PALB2 PVs showing evidence of heterogeneity by family history. In models considering PVs, family history, and established risk factors, the estimated cumulative risks of breast cancer by age 50 years ranged from 2.4% (95% CI, 2.4-2.4) in women with no PVs and no family history to 35.5% (95% CI, 21.6-55.1) in PALB2 PV carriers with a family history. Among women who have not been diagnosed with breast cancer by age 50 years, the cumulative risk of breast cancer by age 80 years ranged from 11.1% (95% CI, 11.0-11.2) in noncarriers with no family history to 70.5% (95% CI, 52.8-83.5) for PALB2 carriers with a family history. PV-specific cumulative risk estimates varied across subgroups defined by race and ethnicity and potentially modifiable epidemiologic risk factors. Conclusions and Relevance In this study, population-based estimates of cumulative breast cancer risk for established PVs, as informed by the CARRIERS case-control sample, varied by family history and potentially modifiable risk factors. These estimates provide guidance for identifying individuals who will most benefit from enhanced screening and prevention strategies.
Genomic and Immune Landscape of Pancreatic Ductal Adenocarcinoma Associated with Germline Pathogenic Variants in ATM
Yadav, Siddhartha , Bao, Riyue , Graham, Rondell P. , Hart, Steven N. , Na, Jie , Boddicker, Nicholas , Gnanaolivu, Rohan , Smadbeck, James , Ding, Li , Billadeau, Daniel D. , Mayer, Aaron T. , Hu, Chunling , Hart, Steven N , Na, Jie , Boddicker, Nicholas J , Gnanaolivu, Rohan , Smadbeck, James B , Ding, Li , Billadeau, Daniel D , Mayer, Aaron T , Majumder, Shounak , Morais Lyra, Paulo Cilas , Lee, Adrian V , Monteiro, Alvaro N , Villasboas, Jose Caetano , McWilliams, Robert R , Couch, Fergus J. , Graham, Rondell P , Yadav, Siddhartha , Hu, Chunling , Majumder, Shounak , Lyra, Paulo C. , Lee, Adrian V. , Monteiro, Álvaro N.A. , Villasboas, José C. , McWilliams, Robert R. , Couch, Fergus J.

Clinical Cancer Research | August 19, 2025 | Volume: 31 | Issue: 21 | Pages: 4463-4474

10.1158/1078-0432.ccr-24-4120 Get It

Abstract Purpose: Germline pathogenic variants (PV) in ATM increase the risk of pancreatic ductal adenocarcinoma (PDAC), but the underlying tumor biology of PDAC associated with germline PV in ATM has not been adequately explored. Experimental Design: Whole-genome, whole-exome, and RNA sequencing were performed on PDAC tumors from 25 germline ATM PV carriers diagnosed at Mayo Clinic between 2007 and 2017. Somatic and copy-number alterations, mutational signatures, transcriptomic subtypes, and the immune landscape were evaluated. Results: High-quality whole-exome and whole-genome sequencing were obtained from 21 and 15 tumors, respectively. Biallelic inactivation of ATM was observed in 87%, KRAS PV in 90%, CDKN2A homozygous loss in 60%, and TP53 alterations in &lt;10% of these tumors. A predominant clock-like mutational signature was present in all samples. Whole-transcriptome analysis identified that the aberrantly differentiated endocrine exocrine subtype accounted for 18% of PDAC and was consistently associated with &gt;5-year overall survival. In addition, a 28-gene expression–based signature associated with overall survival was identified and further validated in The Cancer Genome Atlas cohort. Immune landscape analysis through CODEX identified enriched CD4 T-helper cell/tumor interactions and reduced B7H3-high cell/tumor interactions in ATM PV carriers compared with noncarriers. Conclusions: The observed absence of TP53 PV and enrichment for CDKN2A alterations in ATM tumors, along with differences in the mutational signatures, transcriptomic subtypes and immune landscape, improve our understanding of the mechanistic pathways involved in PDAC development in germline ATM PV carriers and help identify potential targeted therapeutic strategies.