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A compendium of next-generation patient-derived models for diverse cancers

Dina Elharouni Mushriq Al-Jazrawe Seongmin Choi Merve Dede T. Hinoue Sean A. Misek Heeju Noh Luca Zanella Yuen-Yi Tseng H. Francies D. Plenker Cindy W. Kyi Julyann Pérez-Mayoral M. Stine Eva Tonsing-Carter Rachana Agarwal J. Zenklusen James M. Clinton Jennifer M. Shelton Timothy R. Chu William F. Hooper Xavi Loinaz Paula Keskula Jordan Tagle Peyton C. Kuhlers Bahar Tercan Sylvia F. Boj A. Vasciaveo L. Tomassoni J. M. Crawford S. Walsh Claire Sinai Sonam Bhatia Priya Sridevi Hardik Patel M. Cerone Mubarak Akadri Andrew J. Aguirre R. Akbani M. Al Assaad W. Al Zoughbi A. Al-Ibraheemi Sahar Alkhairy Nasser K. Altorki S. Andreani Joshua Araya G. Arun Adel Atari Stefanie Avril Toby M. Baker Metin Balaban Michael Barnes Caitlyn W. Barrett A. Bass A. Beck Pascal Belleau C. Benz B. Bhinder S. Bhosle J. Boerner Jay Bowen L. Brais B. Broom Catherine A. Bullen J. Buscaglia T. A. Caiazza Joshua D. Campbell Evelyn Cantillo Song Cao Jared Capuano M. A. Castro E. Chapman-Davis K. Chiotti Toni K. Choueiri Kin-hoe Chow Wolu Chukwu A. Church H. Clevers Catherine Clinton I. Cortés-Ciriano D. B. Costa Gregory M. Cote Brian D. Crompton S. D'Agosto Simona Dalin Melissa B. Davis F. De Smet Rebecca Deasy M. Delmar P. Denoya Astrid Deschênes Li Ding Elizabeth R. Duffy Ruvimbo Dzvurumi K. Eng J. E. Valle-Inclán B. Faltas Michelle Feenstra Idhaliz Flores S. Fox M. Frey M. Frimer J. Geduldig Veerle Geurts Gad Getz J. Gilbert Gary L. Goldberg Sara Goodwin Peter K. Gregersen Evan B. Grossman Akansha Gupta Amber N. Habowski William C. Hahn P. Hammerman D. Hayes David I. Heiman Elizabeth P. Henske C. Herranz-Ors J. Hess K. Holcomb A. Hong Christopher Hudson Victoria Hung L. Iliev Katherine A. Janeway Julia Japo Grace A. Johnson Ji-Hang Ju Troy Kane S. Klempner M. Kramer A. Kramm A. Krasnitz Shweth V. Kumar R. Lawlor G. M. Lee Si-Yun Lee Hong-Yu Li Elaine Li Madison Liistro J. Lorch Carolina Lucchesi C. Luchini Seth Malinowski J. Manohar L. Martello Jennifer Marti M. L. Martin R. Mashl W. R. McCombie Aaron K. McCormick Brian W. McSteen Christine N. Metz Ana M. Molina Juan Miguel Mosquera Jenna E. Moyer A. Murphy Payal Naik Indu B. Nair D. Nanus E. Nasajpour J. Nauseef Lisa A. Newman K. Ng S. Ng A. Ocean Coyin Oh Kentaro Ohara Kadir Ozler K. Panchot Nicole Pavao A. Pea K. Pelton Anson Peng C. Petritsch Payal P. Pradhan Sidharth V. Puram Mei-Fang Qi Srivatsan Raghavan Benjamin J. Raphael David Requena Phoebe L. Reuben E. Rheinbay Arvind Rishi Carmen Rios A. Robertson Peter Ronning Ashley R. Ruehr Suzanne Russo A. Ruzzenente Michael Ryan R. Salvia David Sandak Shahab Sarmashghi Ashish Saxena Abeer Sayeed Parul J. Shukla A. Sboner A. Scarpa Douglas S. Scherr Francesco Serafini Hui Shen A. Shetty Manish Shah Ewa T. Sicinska Sabina Signoretti M. Sigouros A. Smith Yi-Zhe Song Ying-Duo Song Conrado T. Soria Cora N. Sternberg Joshua M. Stuart C. Thompson N.-V. Tsang Aviad Tsherniak Cristina Valente Sara Valentini J. V. van Es Barbara Van Hare S. Vignesh J. Vogelzang Abigail Ward Fiona Watkinson Sophie Webster John N. Weinstein D. Weinstock M. Wendl B. Wolpin Christopher K. Wong Mao-Xin Wu M. Wyczalkowski W. Wysocki Alexa Yeagley Smitha Yerrum Charles H. Yoon Jenny Yuan Brian Yueh Zhen-Yu Zhang K. Ellrott Calvin J. Kuo O. Elemento Semir Beyaz V. Corbo D. Spector R. Beroukhim M. Ferguson A. Cherniack P. Laird N. Robine Andrew Mcpherson K. Hoadley M. Garnett D. Tuveson Andrea Califano Paul T. Spellman Keith L. Ligon Daniela S. Gerhard L. Staudt Jesse S. Boehm
Aug 2026 · Nature · Vol 657, pp. 775 - 788 · 7 citations · 173 references
Medicine

TL;DR

A large-scale international programme—the Human Cancer Models Initiative—is presented, which involved the generation of a resource of 665 next-generation models from 2,780 donors with 25 cancer types and integrated tumour–model whole genome, exome, methylome and transcriptome analyses.

Abstract

The development of new therapeutics and the validation of pathogenetic cancer mechanisms require representative laboratory models1,2. However, existing collections represent only a fraction of the diversity observed in human cancer2, 3–4. Recent technologies have enabled efficient in vitro model derivation (for example, tumour organoids)5. However, whether these maintain essential properties of patient tumours during long-term expansion has not been systematically investigated. Here we present results of a large-scale international programme—the Human Cancer Models Initiative—which involved the generation of a resource of 665 next-generation models from 2,780 donors with 25 cancer types and integrated tumour–model whole genome, exome, methylome and transcriptome analyses. The resource provides 522 models with comprehensive clinical data, 153 models of rare cancers and 71 models from participants with non-European ancestry. Analyses of 421 matched tumour–model pairs reveal high genetic (97.8%) and epigenetic (95%) concordance and define correlates of model discordance. Single-nucleus RNA sequencing of tumour–model pairs reveals subsets of models in which culture conditions significantly influence cell states. Finally, we characterize model preservation of extrachromosomal DNA and post-treatment mutational signatures to provide opportunities to study therapeutic resistance. This model repository is being made available to the community—including multimodal molecular profiling, clinical information and integrative software tools—thus providing a valuable resource for preclinical investigation of cancer pathogenesis and treatment response. The international collaboration of the Human Cancer Models Initiative presents a comprehensive resource of next-generation cancer models from 2,780 donors with 25 cancer types and integrated tumour–model genomic, transcriptomic and epigenomic analyses.

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