Craig M. Bielski
Memorial Sloan Kettering Cancer Center
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Featured researches published by Craig M. Bielski.
eLife | 2013
Jose U. Scher; Andrew Sczesnak; Randy S. Longman; Nicola Segata; Carles Ubeda; Craig M. Bielski; Tim Rostron; Vincenzo Cerundolo; Eric G. Pamer; Steven B. Abramson; Curtis Huttenhower; Dan R. Littman
Rheumatoid arthritis (RA) is a prevalent systemic autoimmune disease, caused by a combination of genetic and environmental factors. Animal models suggest a role for intestinal bacteria in supporting the systemic immune response required for joint inflammation. Here we performed 16S sequencing on 114 stool samples from rheumatoid arthritis patients and controls, and shotgun sequencing on a subset of 44 such samples. We identified the presence of Prevotella copri as strongly correlated with disease in new-onset untreated rheumatoid arthritis (NORA) patients. Increases in Prevotella abundance correlated with a reduction in Bacteroides and a loss of reportedly beneficial microbes in NORA subjects. We also identified unique Prevotella genes that correlated with disease. Further, colonization of mice revealed the ability of P. copri to dominate the intestinal microbiota and resulted in an increased sensitivity to chemically induced colitis. This work identifies a potential role for P. copri in the pathogenesis of RA. DOI: http://dx.doi.org/10.7554/eLife.01202.001
Science | 2016
Gregory V. Kryukov; Frederick H. Wilson; Jason Ruth; Joshiawa Paulk; Aviad Tsherniak; Sara Marlow; Francisca Vazquez; Barbara A. Weir; Mark E. Fitzgerald; Minoru Tanaka; Craig M. Bielski; Justin Scott; Courtney Dennis; Glenn S. Cowley; Jesse S. Boehm; David E. Root; Todd R. Golub; Clary B. Clish; James E. Bradner; William C. Hahn; Levi A. Garraway
Tumors put in a vulnerable position Cancer cells often display alterations in metabolism that help fuel their growth. Such metabolic “rewiring” may also work against the cancer cells, however, by creating new vulnerabilities that can be exploited therapeutically. A variety of human tumors show changes in methionine metabolism caused by loss of the gene coding for 5-methylthioadenosine phosphorylase (MTAP). Mavrakis et al. and Kryukov et al. found that the loss of MTAP renders cancer cell lines sensitive to growth inhibition by compounds that suppress the activity of a specific arginine methyltransferase called PRMT5. Conceivably, drugs that inhibit PRMT5 activity could be developed into a tailored therapy for MTAP-deficient tumors. Science, this issue pp. 1208 and 1214 Tumors cope with a genomic change by rewiring their metabolism, but this makes them more susceptible to certain drugs. The discovery of cancer dependencies has the potential to inform therapeutic strategies and to identify putative drug targets. Integrating data from comprehensive genomic profiling of cancer cell lines and from functional characterization of cancer cell dependencies, we discovered that loss of the enzyme methylthioadenosine phosphorylase (MTAP) confers a selective dependence on protein arginine methyltransferase 5 (PRMT5) and its binding partner WDR77. MTAP is frequently lost due to its proximity to the commonly deleted tumor suppressor gene, CDKN2A. We observed increased intracellular concentrations of methylthioadenosine (MTA, the metabolite cleaved by MTAP) in cells harboring MTAP deletions. Furthermore, MTA specifically inhibited PRMT5 enzymatic activity. Administration of either MTA or a small-molecule PRMT5 inhibitor showed a modest preferential impairment of cell viability for MTAP-null cancer cell lines compared with isogenic MTAP-expressing counterparts. Together, our findings reveal PRMT5 as a potential vulnerability across multiple cancer lineages augmented by a common “passenger” genomic alteration.
Nature Genetics | 2018
Joshua Armenia; Stephanie A. Wankowicz; David R. Liu; Jianjiong Gao; Ritika Kundra; Ed Reznik; Walid K. Chatila; Debyani Chakravarty; G. Celine Han; Ilsa Coleman; Bruce Montgomery; Colin C. Pritchard; Colm Morrissey; Christopher E. Barbieri; Himisha Beltran; Andrea Sboner; Zafeiris Zafeiriou; Susana Miranda; Craig M. Bielski; Alexander Penson; Charlotte Tolonen; Franklin W. Huang; Dan R. Robinson; Yi Mi Wu; Robert J. Lonigro; Levi A. Garraway; Francesca Demichelis; Philip W. Kantoff; Mary-Ellen Taplin; Wassim Abida
Comprehensive genomic characterization of prostate cancer has identified recurrent alterations in genes involved in androgen signaling, DNA repair, and PI3K signaling, among others. However, larger and uniform genomic analysis may identify additional recurrently mutated genes at lower frequencies. Here we aggregate and uniformly analyze exome sequencing data from 1,013 prostate cancers. We identify and validate a new class of E26 transformation-specific (ETS)-fusion-negative tumors defined by mutations in epigenetic regulators, as well as alterations in pathways not previously implicated in prostate cancer, such as the spliceosome pathway. We find that the incidence of significantly mutated genes (SMGs) follows a long-tail distribution, with many genes mutated in less than 3% of cases. We identify a total of 97 SMGs, including 70 not previously implicated in prostate cancer, such as the ubiquitin ligase CUL3 and the transcription factor SPEN. Finally, comparing primary and metastatic prostate cancer identifies a set of genomic markers that may inform risk stratification.Meta-analysis of exome sequencing data identifies new recurrently mutated driver genes for prostate cancer. Comparison of primary and metastatic tumors further identifies genomic markers for advanced prostate cancer that may inform risk stratification.
Nature Medicine | 2017
Hana Janouskova; Geniver El Tekle; Elisa Bellini; Namrata D. Udeshi; Anna Rinaldi; Anna Ulbricht; Tiziano Bernasocchi; Gianluca Civenni; Marco Losa; Tanya Svinkina; Craig M. Bielski; Gregory V. Kryukov; Luciano Cascione; Sara Napoli; Radoslav I. Enchev; David G. Mutch; Michael E. Carney; Andrew Berchuck; Boris Winterhoff; Russell Broaddus; Peter Schraml; Holger Moch; Francesco Bertoni; Carlo V. Catapano; Matthias Peter; Steven A. Carr; Levi A. Garraway; Peter Wild; Jean Philippe Theurillat
It is generally assumed that recurrent mutations within a given cancer driver gene elicit similar drug responses. Cancer genome studies have identified recurrent but divergent missense mutations affecting the substrate-recognition domain of the ubiquitin ligase adaptor SPOP in endometrial and prostate cancers. The therapeutic implications of these mutations remain incompletely understood. Here we analyzed changes in the ubiquitin landscape induced by endometrial cancer–associated SPOP mutations and identified BRD2, BRD3 and BRD4 proteins (BETs) as SPOP–CUL3 substrates that are preferentially degraded by endometrial cancer–associated SPOP mutants. The resulting reduction of BET protein levels sensitized cancer cells to BET inhibitors. Conversely, prostate cancer–specific SPOP mutations resulted in impaired degradation of BETs, promoting their resistance to pharmacologic inhibition. These results uncover an oncogenomics paradox, whereby mutations mapping to the same domain evoke opposing drug susceptibilities. Specifically, we provide a molecular rationale for the use of BET inhibitors to treat patients with endometrial but not prostate cancer who harbor SPOP mutations.
Oncogenesis | 2015
Franklin W. Huang; Craig M. Bielski; Mikael L. Rinne; William C. Hahn; William R. Sellers; Frank Stegmeier; Levi A. Garraway; Gregory V. Kryukov
Here we report that promoter mutations in telomerase (TERT), the most common noncoding mutations in cancer, give rise to monoallelic expression of TERT. Through deep RNA sequencing, we find that TERT activation in human cancer cell lines can occur in either mono- or biallelic manner. Without exception, hotspot TERT promoter mutations lead to the re-expression of only one allele, accounting for approximately half of the observed cases of monoallelic TERT expression. Furthermore, we show that monoallelic TERT expression is highly prevalent in certain tumor types and widespread across a broad spectrum of cancers. Taken together, these observations provide insights into the mechanisms of TERT activation and the ramifications of noncoding mutations in cancer.
Nature Communications | 2016
Andrew L. Hong; Yuen-Yi Tseng; Glenn S. Cowley; Oliver Jonas; Jaime H. Cheah; Bryan D. Kynnap; Mihir Doshi; Coyin Oh; Stephanie C. Meyer; Alanna Church; Shubhroz Gill; Craig M. Bielski; Paula Keskula; Alma Imamovic; Sara Howell; Gregory V. Kryukov; Paul A. Clemons; Aviad Tsherniak; Francisca Vazquez; Brian D. Crompton; Alykhan F. Shamji; Carlos Rodriguez-Galindo; Katherine A. Janeway; Charles W. M. Roberts; Kimberly Stegmaier; Paul Van Hummelen; Michael J. Cima; Robert Langer; Levi A. Garraway; Stuart L. Schreiber
Identifying therapeutic targets in rare cancers remains challenging due to the paucity of established models to perform preclinical studies. As a proof-of-concept, we developed a patient-derived cancer cell line, CLF-PED-015-T, from a paediatric patient with a rare undifferentiated sarcoma. Here, we confirm that this cell line recapitulates the histology and harbours the majority of the somatic genetic alterations found in a metastatic lesion isolated at first relapse. We then perform pooled CRISPR-Cas9 and RNAi loss-of-function screens and a small-molecule screen focused on druggable cancer targets. Integrating these three complementary and orthogonal methods, we identify CDK4 and XPO1 as potential therapeutic targets in this cancer, which has no known alterations in these genes. These observations establish an approach that integrates new patient-derived models, functional genomics and chemical screens to facilitate the discovery of targets in rare cancers.
Cancer Discovery | 2017
Matthew T. Chang; Tripti Shrestha Bhattarai; Alison M. Schram; Craig M. Bielski; Mark T.A. Donoghue; Philip Jonsson; Debyani Chakravarty; Sarah Phillips; Cyriac Kandoth; Alexander Penson; Alexander N. Gorelick; Tambudzai Shamu; Swati Patel; Christopher C. Harris; Jianjiong Gao; Selcuk Onur Sumer; Ritika Kundra; Pedram Razavi; Bob T. Li; Dalicia Reales; Nicholas D. Socci; Gowtham Jayakumaran; Ahmet Zehir; Ryma Benayed; Maria E. Arcila; Sarat Chandarlapaty; Marc Ladanyi; Nikolaus Schultz; José Baselga; Michael F. Berger
Most mutations in cancer are rare, which complicates the identification of therapeutically significant mutations and thus limits the clinical impact of genomic profiling in patients with cancer. Here, we analyzed 24,592 cancers including 10,336 prospectively sequenced patients with advanced disease to identify mutant residues arising more frequently than expected in the absence of selection. We identified 1,165 statistically significant hotspot mutations of which 80% arose in 1 in 1,000 or fewer patients. Of 55 recurrent in-frame indels, we validated that novel AKT1 duplications induced pathway hyperactivation and conferred AKT inhibitor sensitivity. Cancer genes exhibit different rates of hotspot discovery with increasing sample size, with few approaching saturation. Consequently, 26% of all hotspots in therapeutically actionable oncogenes were novel. Upon matching a subset of affected patients directly to molecularly targeted therapy, we observed radiographic and clinical responses. Population-scale mutant allele discovery illustrates how the identification of driver mutations in cancer is far from complete.Significance: Our systematic computational, experimental, and clinical analysis of hotspot mutations in approximately 25,000 human cancers demonstrates that the long right tail of biologically and therapeutically significant mutant alleles is still incompletely characterized. Sharing prospective genomic data will accelerate hotspot identification, thereby expanding the reach of precision oncology in patients with cancer. Cancer Discov; 8(2); 174-83. ©2017 AACR.This article is highlighted in the In This Issue feature, p. 127.
Clinical Cancer Research | 2016
Gregory V. Kryukov; Craig M. Bielski; Kaitlin E. Samocha; Menachem Fromer; Sara Seepo; Carleen Gentry; Benjamin M. Neale; Levi A. Garraway; Christopher Sweeney; Mary-Ellen Taplin; Eliezer M. Van Allen
Purpose: Cancer survivors express anxiety that chemotherapy exposure may lead to transmissible genetic damage in posttreatment children. Preclinical models suggest that chemotherapy exposure may result in considerable genomic alterations in postexposure progeny. Epidemiologic studies have not demonstrated a significant increase in congenital abnormalities in posttreatment children of cancer survivors, but the inherited genome-wide effect of chemotherapy exposure in humans is unknown. Experimental Design: Two testicular cancer survivors cured with chemotherapy who had children pre- and postexposure without sperm banking were identified. Familial germline whole genome sequencing (WGS) was performed for these families, and analytic methods were utilized to identify de novo alterations, including mutations, recombinations, and structural rearrangements in the pre- and postexposure offspring. Results: No increase in de novo germline mutations in postexposure children compared with their preexposure siblings was found. Furthermore, there were no increased short insertion/deletions, recombination frequency, or structural rearrangements in these postexposure children. Conclusions: In two families of male cancer survivors, there was no transmissible genomic impact of significant mutagenic exposure in postexposure children. This study may provide possible reassuring evidence for patients undergoing chemotherapy who are unable to have pretreatment sperm cryopreservation. Expanded cohorts that utilize WGS to identify environmental exposure effects on the inherited genome may inform the generalizability of these results. Clin Cancer Res; 22(9); 2183–9. ©2015 AACR.
Nature Genetics | 2018
Craig M. Bielski; Ahmet Zehir; Alexander Penson; Mark T.A. Donoghue; Walid K. Chatila; Joshua Armenia; Matthew T. Chang; Alison M. Schram; Philip Jonsson; Chaitanya Bandlamudi; Pedram Razavi; Gopa Iyer; Mark E. Robson; Zsofia K. Stadler; Nikolaus Schultz; José Baselga; David B. Solit; David M. Hyman; Michael F. Berger; Barry S. Taylor
Ploidy abnormalities are a hallmark of cancer, but their impact on the evolution and outcomes of cancers is unknown. Here, we identified whole-genome doubling (WGD) in the tumors of nearly 30% of 9,692 prospectively sequenced advanced cancer patients. WGD varied by tumor lineage and molecular subtype, and arose early in carcinogenesis after an antecedent transforming driver mutation. While associated with TP53 mutations, 46% of all WGD arose in TP53-wild-type tumors and in such cases was associated with an E2F-mediated G1 arrest defect, although neither aberration was obligate in WGD tumors. The variability of WGD across cancer types can be explained in part by cancer cell proliferation rates. WGD predicted for increased morbidity across cancer types, including KRAS-mutant colorectal cancers and estrogen receptor-positive breast cancers, independently of established clinical prognostic factors. We conclude that WGD is highly common in cancer and is a macro-evolutionary event associated with poor prognosis across cancer types.The authors identify whole-genome doubling (WGD) in 30% of ~10,000 sequenced tumors from patients with advanced cancer. WGD correlates with increased risk of death across cancer types.
Cancer Cell | 2018
Pedram Razavi; Matthew T. Chang; Guotai Xu; Chaitanya Bandlamudi; Dara S. Ross; Neil Vasan; Yanyan Cai; Craig M. Bielski; Mark T.A. Donoghue; Philip Jonsson; Alexander Penson; Ronglai Shen; Fresia Pareja; Ritika Kundra; Sumit Middha; Michael L. Cheng; Ahmet Zehir; Cyriac Kandoth; Ruchi Patel; Kety Huberman; Lillian Mary Smyth; Komal Jhaveri; Shanu Modi; Tiffany A. Traina; Chau Dang; Wen Zhang; Britta Weigelt; Bob T. Li; Marc Ladanyi; David M. Hyman
We integrated the genomic sequencing of 1,918 breast cancers, including 1,501 hormone receptor-positive tumors, with detailed clinical information and treatment outcomes. In 692 tumors previously exposed to hormonal therapy, we identified an increased number of alterations in genes involved in the mitogen-activated protein kinase (MAPK) pathway and in the estrogen receptor transcriptional machinery. Activating ERBB2 mutations and NF1 loss-of-function mutations were more than twice as common in endocrine resistant tumors. Alterations in other MAPK pathway genes (EGFR, KRAS, among others) and estrogen receptor transcriptional regulators (MYC, CTCF, FOXA1, and TBX3) were also enriched. Altogether, these alterations were present in 22% of tumors, mutually exclusive with ESR1 mutations, and associated with a shorter duration of response to subsequent hormonal therapies.