Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT)
Open accessAbstract
The identification of specific genetic alterations as key oncogenic drivers and the development of targeted therapies are together transforming clinical oncology and creating a pressing need for increased breadth and throughput of clinical genotyping. Next-generation sequencing assays allow the efficient and unbiased detection of clinically actionable mutations. To enable precision oncology in patients with solid tumors, we developed Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT), a hybridization capture-based next-generation sequencing assay for targeted deep sequencing of all exons and selected introns of 341 key cancer genes in formalin-fixed, paraffin-embedded tumors. Barcoded libraries from patient-matched tumor and normal samples were captured, sequenced, and subjected to a custom analysis pipeline to identify somatic mutations. Sensitivity, specificity, reproducibility of MSK-IMPACT were assessed through extensive analytical validation. We tested 284 tumor samples with previously known point mutations and insertions/deletions in 47 exons of 19 cancer genes. All known variants were accurately detected, and there was high reproducibility of inter- and intrarun replicates. The detection limit for low-frequency variants was approximately 2% for hotspot mutations and 5% for nonhotspot mutations. Copy number alterations and structural rearrangements were also reliably detected. MSK-IMPACT profiles oncogenic DNA alterations in clinical solid tumor samples with high accuracy and sensitivity. Paired analysis of tumors and patient-matched normal samples enables unambiguous detection of somatic mutations to guide treatment decisions.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Exome sequencing of sorted cKit+ Lymph- Ery- HSPCs and paired tail tissue using the MSK-IMPACT mouse panel of 578 cancer-related genes showed evidence for expansion of clonal cell populations in all leukemic compound mutant mice tested.
“Exome sequencing of sorted cKit+ Lymph– Ery– HSPCs and paired tail tissue specimen using the Memorial Sloan Kettering Cancer Center's Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT) mouse panel of 578 cancer-related genes (31) showed evidence for expansion of clonal cell populations in all leukemic compound mutant mice tested (Supplementary Tables S2 and S3).”
From PU.1-Dependent Enhancer Inhibition Separates <i>Tet2</i> -Deficient Hematopoiesis from Malignant Transformation (2022) · cites this paper as [31]
The Panel Design and Target Region Coverage section identifies MSK-IMPACT as a targeted sequencing assay for cancer-related genes, supporting the citation's identification of the method. It describes a 341-gene panel, however, not a 578-gene mouse panel. The cited paper does not report the mouse HSPC sequencing or clonal-expansion result; the citing sentence points to its own supplementary tables for that result. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Cerami, E., Gao, J., Dogrusoz, U., Gross, B. E., Sumer, S. O., Aksoy, B. A., Jacobsen, A., Byrne, C. J., Heuer, M. L., Larsson, E., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0095 · Cited by 17,455 · see citing works
The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400 · see citing works
Improved survival with vemurafenib in melanoma with BRAF V600E mutation
Chapman, P. B., Hauschild, A., Robert, C., Haanen, J. B., Ascierto, P., Larkin, J., Dummer, R., Garbe, C., Testori, A., Maio, M., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103782 · Cited by 7,720 · see citing works
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711 · see citing works
Crizotinib versus Chemotherapy in Advanced <i>ALK</i> -Positive Lung Cancer
Shaw, A. T., Kim, D.-W., Nakagawa, K., Seto, T., Crinó, L., Ahn, M.-J., De Pas, T., Besse, B., Solomon, B. J., Blackhall, F., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1214886 · Cited by 3,381 · see citing works
Frampton, G. M., Fichtenholtz, A., Otto, G. A., Wang, K., Downing, S. R., He, J., Schnall-Levin, M., White, J., Sanford, E. M., An, P., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2696 · Cited by 2,157 · see citing works
Using Multiplexed Assays of Oncogenic Drivers in Lung Cancers to Select Targeted Drugs
Kris, M. G., Johnson, B. E., Berry, L. D., Kwiatkowski, D. J., Iafrate, A. J., Wistuba, I. I., Varella-Garcia, M., Franklin, W. A., Aronson, S. L., Su, P.-F., et al. (2014) · JAMA · doi:10.1001/jama.2014.3741 · Cited by 1,724 · see citing works
Self-citationFrequency of TERT promoter mutations in human cancers
Vinagre, J., Almeida, A., Pópulo, H., Batista, R., Lyra, J., Pinto, V., Coelho, R., Celestino, R., Prazeres, H., Lima, L., et al. (2013) · Nature Communications · doi:10.1038/ncomms3185 · Cited by 898 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Forbes SA, Bhamra G, Bamford S, Dawson E, Kok C, Clements J, Menzies A, Teague JW, Futreal PA, Stratton MR: The Catalogue of Somatic Mutations in Cancer (COSMIC). Curr Protoc Hum Genet 2008. Chapter 10:Unit 10.11
- Wang K, Li M, Hakonarson H: ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res 2010, 38:e164
Cited by
Sorted by citations
Tumor mutational load predicts survival after immunotherapy across multiple cancer types
Samstein, R. M., Lee, C.-H., Shoushtari, A. N., Hellmann, M. D., Shen, R., Janjigian, Y. Y., Barron, D. A., Zehir, A., Jordan, E. J., Omuro, A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0312-8 · Cited by 4,071 · see citing works
Self-citationZehir, A., Benayed, R., Shah, R. H., Syed, A., Middha, S., Kim, H. R., Srinivasan, P., Gao, J., Chakravarty, D., Devlin, S. M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4333 · Cited by 3,380 · see citing works
Self-citationPersonalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer
Rojas, L. A., Sethna, Z., Soares, K. C., Olcese, C., Pang, N., Patterson, E., Lihm, J., Ceglia, N., Guasp, P., Chu, A., et al. (2023) · Nature · doi:10.1038/s41586-023-06063-y · Cited by 1,432 · see citing works
Rizvi, H., Sanchez-Vega, F., La, K., Chatila, W., Jonsson, P., Halpenny, D., Plodkowski, A., Long, N., Sauter, J. L., Rekhtman, N., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.75.3384 · Cited by 1,367 · see citing works
Self-citationThe Challenges of Tumor Mutational Burden as an Immunotherapy Biomarker
Jardim, D. L., Goodman, A., de Melo Gagliato, D., & Kurzrock, R. (2021) · Cancer Cell · doi:10.1016/j.ccell.2020.10.001 · Cited by 1,192 · see citing works
Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy
Chowell, D., Morris, L. G. T., Grigg, C. M., Weber, J. K., Samstein, R. M., Makarov, V., Kuo, F., Kendall, S. M., Requena, D., Riaz, N., et al. (2018) · Science · doi:10.1126/science.aao4572 · Cited by 1,142 · see citing works
Self-citationTumor Mutational Burden as a Predictive Biomarker in Solid Tumors
Sha, D., Jin, Z., Budczies, J., Kluck, K., Stenzinger, A., & Sinicrope, F. A. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-0522 · Cited by 859 · see citing works
Clinical Sequencing Defines the Genomic Landscape of Metastatic Colorectal Cancer
Yaeger, R., Chatila, W. K., Lipsyc, M. D., Hechtman, J. F., Cercek, A., Sanchez-Vega, F., Jayakumaran, G., Middha, S., Zehir, A., Donoghue, M. T. A., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2017.12.004 · Cited by 858 · see citing works
Self-citationTumor Evolution and Drug Response in Patient-Derived Organoid Models of Bladder Cancer
Lee, S. H., Hu, W., Matulay, J. T., Silva, M. V., Owczarek, T. B., Kim, K., Chua, C. W., Barlow, L. J., Kandoth, C., Williams, A. B., et al. (2018) · Cell · doi:10.1016/j.cell.2018.03.017 · Cited by 873 · see citing works
Coombs, C. C., Zehir, A., Devlin, S. M., Kishtagari, A., Syed, A., Jonsson, P., Hyman, D. M., Solit, D. B., Robson, M. E., Baselga, J., et al. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.07.010 · Cited by 866 · see citing works
Self-citationChang, M. T., Asthana, S., Gao, S. P., Lee, B. H., Chapman, J. S., Kandoth, C., Gao, J., Socci, N. D., Solit, D. B., Olshen, A. B., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3391 · Cited by 808 · see citing works
HER kinase inhibition in patients with HER2- and HER3-mutant cancers
Hyman, D. M., Piha-Paul, S. A., Won, H., Rodon, J., Saura, C., Shapiro, G. I., Juric, D., Quinn, D. I., Moreno, V., Doger, B., et al. (2018) · Nature · doi:10.1038/nature25475 · Cited by 780 · see citing works
Self-citationJordan, E. J., Kim, H. R., Arcila, M. E., Barron, D., Chakravarty, D., Gao, J., Chang, M. T., Ni, A., Kundra, R., Jonsson, P., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-1337 · Cited by 643 · see citing works
Self-citationKeap1 loss promotes Kras-driven lung cancer and results in dependence on glutaminolysis
Romero, R., Sayin, V. I., Davidson, S. M., Bauer, M. R., Singh, S. X., LeBoeuf, S. E., Karakousi, T. R., Ellis, D. C., Bhutkar, A., Sánchez-Rivera, F. J., et al. (2017) · Nature Medicine · doi:10.1038/nm.4407 · Cited by 652 · see citing works
Harding, J. J., Nandakumar, S., Armenia, J., Khalil, D. N., Albano, M., Ly, M., Shia, J., Hechtman, J. F., Kundra, R., El Dika, I., et al. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-2293 · Cited by 602 · see citing works
Self-citationTherapeutic cancer vaccines: Advancements, challenges, and prospects
Fan, T., Zhang, M., Yang, J., Zhu, Z., Cao, W., & Dong, C. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01674-3 · Cited by 597 · see citing works
Tumours with class 3 BRAF mutants are sensitive to the inhibition of activated RAS
Yao, Z., Yaeger, R., Rodrik-Outmezguine, V. S., Tao, A., Torres, N. M., Chang, M. T., Drosten, M., Zhao, H., Cecchi, F., Hembrough, T., et al. (2017) · Nature · doi:10.1038/nature23291 · Cited by 562 · see citing works
Teo, M. Y., Seier, K., Ostrovnaya, I., Regazzi, A. M., Kania, B. E., Moran, M. M., Cipolla, C. K., Bluth, M. J., Chaim, J., Al-Ahmadie, H., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.75.7740 · Cited by 544 · see citing works
Self-citationPredicting drug response and synergy using a deep learning model of human cancer cells
Kuenzi, B. M., Park, J., Fong, S. H., Sanchez, K. S., Lee, J., Kreisberg, J. F., Ma, J., & Ideker, T. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.09.014 · Cited by 544 · see citing works
Loss of the FAT1 Tumor Suppressor Promotes Resistance to CDK4/6 Inhibitors via the Hippo Pathway
Li, Z., Razavi, P., Li, Q., Toy, W., Liu, B., Ping, C., Hsieh, W., Sanchez-Vega, F., Brown, D. N., Da Cruz Paula, A. F., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.11.006 · Cited by 508 · see citing works
Genome-Informed Targeted Therapy for Osteosarcoma
Sayles, L. C., Breese, M. R., Koehne, A. L., Leung, S. G., Lee, A. G., Liu, H.-Y., Spillinger, A., Shah, A. T., Tanasa, B., Straessler, K., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-1152 · Cited by 452 · see citing works
Arbour, K. C., Jordan, E., Kim, H. R., Dienstag, J., Yu, H. A., Sanchez-Vega, F., Lito, P., Berger, M., Solit, D. B., Hellmann, M., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-1841 · Cited by 466 · see citing works
Self-citationDiverse alterations associated with resistance to KRAS(G12C) inhibition
Zhao, Y., Murciano-Goroff, Y. R., Xue, J. Y., Ang, A., Lucas, J., Mai, T. T., Da Cruz Paula, A. F., Saiki, A. Y., Mohn, D., Achanta, P., et al. (2021) · Nature · doi:10.1038/s41586-021-04065-2 · Cited by 479 · see citing works
Self-citationInstitutional implementation of clinical tumor profiling on an unselected cancer population
Sholl, L. M., Do, K., Shivdasani, P., Cerami, E., Dubuc, A. M., Kuo, F. C., Garcia, E. P., Jia, Y., Davineni, P., Abo, R. P., et al. (2016) · JCI Insight · doi:10.1172/jci.insight.87062 · Cited by 450 · see citing works
Valero, C., Lee, M., Hoen, D., Weiss, K., Kelly, D. W., Adusumilli, P. S., Paik, P. K., Plitas, G., Ladanyi, M., Postow, M. A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-20935-9 · Cited by 441 · see citing works
Self-citationSchoenfeld, A. J., Chan, J. M., Kubota, D., Sato, H., Rizvi, H., Daneshbod, Y., Chang, J. C., Paik, P. K., Offin, M., Arcila, M. E., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-3563 · Cited by 411 · see citing works
Self-citationVanguri, R. S., Luo, J., Aukerman, A. T., Egger, J. V., Fong, C. J., Horvat, N., Pagano, A., Araujo-Filho, J. D. A. B., Geneslaw, L., Rizvi, H., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00416-8 · Cited by 395 · see citing works
The expanding landscape of ‘oncohistone’ mutations in human cancers
Nacev, B. A., Feng, L., Bagert, J. D., Lemiesz, A. E., Gao, J., Soshnev, A. A., Kundra, R., Schultz, N., Muir, T. W., & Allis, C. D. (2019) · Nature · doi:10.1038/s41586-019-1038-1 · Cited by 384 · see citing works
Wang, S., Zheng, Y., Yang, F., Zhu, L., Zhu, X.-Q., Wang, Z.-F., Wu, X.-L., Zhou, C.-H., Yan, J.-Y., Hu, B.-Y., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00659-4 · Cited by 369 · see citing works
Boehm, K. M., Aherne, E. A., Ellenson, L., Nikolovski, I., Alghamdi, M., Vázquez-García, I., Zamarin, D., Long Roche, K., Liu, Y., Patel, D., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00388-9 · Cited by 357 · see citing works
Targeting an RNA-Binding Protein Network in Acute Myeloid Leukemia
Wang, E., Lu, S. X., Pastore, A., Chen, X., Imig, J., Chun-Wei Lee, S., Hockemeyer, K., Ghebrechristos, Y. E., Yoshimi, A., Inoue, D., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.01.010 · Cited by 338 · see citing works
Guryanova, O. A., Shank, K., Spitzer, B., Luciani, L., Koche, R. P., Garrett-Bakelman, F. E., Ganzel, C., Durham, B. H., Mohanty, A., Hoermann, G., et al. (2016) · Nature Medicine · doi:10.1038/nm.4210 · Cited by 256 · see citing works
Self-citationOrdered and deterministic cancer genome evolution after p53 loss
Baslan, T., Morris, J. P., Zhao, Z., Reyes, J., Ho, Y.-J., Tsanov, K. M., Bermeo, J., Tian, S., Zhang, S., Askan, G., et al. (2022) · Nature · doi:10.1038/s41586-022-05082-5 · Cited by 221 · see citing works
Nacev, B. A., Sanchez-Vega, F., Smith, S. A., Antonescu, C. R., Rosenbaum, E., Shi, H., Tang, C., Socci, N. D., Rana, S., Gularte-Mérida, R., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30453-x · Cited by 232 · see citing works
Self-citationProspective Evaluation of Germline Alterations in Patients With Exocrine Pancreatic Neoplasms
Lowery, M. A., Wong, W., Jordan, E. J., Lee, J. W., Kemel, Y., Vijai, J., Mandelker, D., Zehir, A., Capanu, M., Salo-Mullen, E., et al. (2018) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djy024 · Cited by 224 · see citing works
Self-citationSamstein, R. M., Krishna, C., Ma, X., Pei, X., Lee, K.-W., Makarov, V., Kuo, F., Chung, J., Srivastava, R. M., Purohit, T. A., et al. (2020) · Nature Cancer · doi:10.1038/s43018-020-00139-8 · Cited by 219 · see citing works
Self-citationAisner, D. L., Sholl, L. M., Berry, L. D., Rossi, M. R., Chen, H., Fujimoto, J., Moreira, A. L., Ramalingam, S. S., Villaruz, L. C., Otterson, G. A., et al. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-2289 · Cited by 206 · see citing works
Yao, Z., Gao, Y., Su, W., Yaeger, R., Tao, J., Na, N., Zhang, Y., Zhang, C., Rymar, A., Tao, A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0274-5 · Cited by 195 · see citing works
Progressive plasticity during colorectal cancer metastasis
Moorman, A., Benitez, E. K., Cambuli, F., Jiang, Q., Mahmoud, A., Lumish, M., Hartner, S., Balkaran, S., Bermeo, J., Asawa, S., et al. (2025) · Nature · doi:10.1038/s41586-024-08150-0 · Cited by 229 · see citing works
KRAS Allelic Imbalance Enhances Fitness and Modulates MAP Kinase Dependence in Cancer
Burgess, M. R., Hwang, E., Mroue, R., Bielski, C. M., Wandler, A. M., Huang, B. J., Firestone, A. J., Young, A., Lacap, J. A., Crocker, L., et al. (2017) · Cell · doi:10.1016/j.cell.2017.01.020 · Cited by 183 · see citing works
Kinase-impaired BTK mutations are susceptible to clinical-stage BTK and IKZF1/3 degrader NX-2127
Montoya, S., Bourcier, J., Noviski, M., Lu, H., Thompson, M. C., Chirino, A., Jahn, J., Sondhi, A. K., Gajewski, S., Tan, Y. S. (., et al. (2024) · Science · doi:10.1126/science.adi5798 · Cited by 175 · see citing works
An approach to suppress the evolution of resistance in BRAFV600E-mutant cancer
Xue, Y., Martelotto, L., Baslan, T., Vides, A., Solomon, M., Mai, T. T., Chaudhary, N., Riely, G. J., Li, B. T., Scott, K., et al. (2017) · Nature Medicine · doi:10.1038/nm.4369 · Cited by 174 · see citing works
Self-citationCheng, D. T., Prasad, M., Chekaluk, Y., Benayed, R., Sadowska, J., Zehir, A., Syed, A., Wang, Y. E., Somar, J., Li, Y., et al. (2017) · BMC Medical Genomics · doi:10.1186/s12920-017-0271-4 · Cited by 158 · see citing works
Self-citationMolecular Characterization of Acquired Resistance to KRASG12C–EGFR Inhibition in Colorectal Cancer
Yaeger, R., Mezzadra, R., Sinopoli, J., Bian, Y., Marasco, M., Kaplun, E., Gao, Y., Zhao, H., Paula, A. D. C., Zhu, Y., et al. (2023) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0405 · Cited by 144 · see citing works
Self-citationLin, J. J., Choudhury, N. J., Yoda, S., Zhu, V. W., Johnson, T. W., Sakhtemani, R., Dagogo-Jack, I., Digumarthy, S. R., Lee, C., Do, A., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-0032 · Cited by 145 · see citing works
Granlund, K. L., Tee, S.-S., Vargas, H. A., Lyashchenko, S. K., Reznik, E., Fine, S., Laudone, V., Eastham, J. A., Touijer, K. A., Reuter, V. E., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2019.08.024 · Cited by 138 · see citing works
Suehara, Y., Alex, D., Bowman, A., Middha, S., Zehir, A., Chakravarty, D., Wang, L., Jour, G., Nafa, K., Hayashi, T., et al. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-4032 · Cited by 135 · see citing works
Self-citationArruabarrena-Aristorena, A., Maag, J. L. V., Kittane, S., Cai, Y., Karthaus, W. R., Ladewig, E., Park, J., Kannan, S., Ferrando, L., Cocco, E., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.08.003 · Cited by 130 · see citing works
The landscape of somatic genetic alterations in breast cancers from ATM germline mutation carriers
Weigelt, B., Bi, R., Kumar, R., Blecua, P., Mandelker, D. L., Geyer, F. C., Pareja, F., James, P. A., kConFab Investigators, Couch, F. J., et al. (2018) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djy028 · Cited by 128 · see citing works
Barriga, F. M., Tsanov, K. M., Ho, Y.-J., Sohail, N., Zhang, A., Baslan, T., Wuest, A. N., Del Priore, I., Meškauskaitė, B., Livshits, G., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00443-5 · Cited by 125 · see citing works
Moon, I., LoPiccolo, J., Baca, S. C., Sholl, L. M., Kehl, K. L., Hassett, M. J., Liu, D., Schrag, D., & Gusev, A. (2023) · Nature Medicine · doi:10.1038/s41591-023-02482-6 · Cited by 122 · see citing works
Development of genome-derived tumor type prediction to inform clinical cancer care
Penson, A., Camacho, N., Zheng, Y., Varghese, A. M., Al-Ahmadie, H., Razavi, P., Chandarlapaty, S., Vallejo, C. E., Vakiani, E., Gilewski, T., et al. (2020) · JAMA Oncology · doi:10.1001/jamaoncol.2019.3985 · Cited by 115 · see citing works
Self-citationRicciuti, B., Alessi, J. V., Elkrief, A., Wang, X., Cortellini, A., Li, Y. Y., Vaz, V. R., Gupta, H., Pecci, F., Barrichello, A., et al. (2022) · Annals of Oncology · doi:10.1016/j.annonc.2022.07.005 · Cited by 112 · see citing works
Grewal, J. K., Tessier-Cloutier, B., Jones, M., Gakkhar, S., Ma, Y., Moore, R., Mungall, A. J., Zhao, Y., Taylor, M. D., Gelmon, K., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.2597 · Cited by 90 · see citing works
KRAS G12C–Mutant Non–Small Cell Lung Cancer
Veluswamy, R., Mack, P. C., Houldsworth, J., Elkhouly, E., & Hirsch, F. R. (2021) · The Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2021.02.002 · Cited by 96 · see citing works
Yaeger, R., Yao, Z., Hyman, D. M., Hechtman, J. F., Vakiani, E., Zhao, H., Su, W., Wang, L., Joelson, A., Cercek, A., et al. (2017) · Cancer Research · doi:10.1158/0008-5472.can-17-0768 · Cited by 94 · see citing works
Self-citationHayashi, T., Desmeules, P., Smith, R. S., Drilon, A., Somwar, R., & Ladanyi, M. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-2343 · Cited by 90 · see citing works
Self-citationA Classical Epithelial State Drives Acute Resistance to KRAS Inhibition in Pancreatic Cancer
Singhal, A., Styers, H. C., Rub, J., Li, Z., Torborg, S. R., Kim, J. Y., Grbovic-Huezo, O., Feng, H., Tarcan, Z. C., Sahin Ozkan, H., et al. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-24-0740 · Cited by 84 · see citing works
Reinert, T., Petersen, L. M. S., Henriksen, T. V., Larsen, M. Ø., Rasmussen, M. H., Johansen, A. F. B., Øgaard, N., Knudsen, M., Nordentoft, I., Vang, S., et al. (2022) · International Journal of Cancer · doi:10.1002/ijc.33924 · Cited by 62 · see citing works
Shukla, N. N., Patel, J. A., Magnan, H., Zehir, A., You, D., Tang, J., Meng, F., Samoila, A., Slotkin, E. K., Ambati, S. R., et al. (2017) · JCO Precision Oncology · doi:10.1200/po.16.00028 · Cited by 52 · see citing works
Self-citationMundi, P. S., Dela Cruz, F. S., Grunn, A., Diolaiti, D., Mauguen, A., Rainey, A. R., Guillan, K. C., Siddiquee, A., You, D., Realubit, R., et al. (2021) · doi:10.1101/2021.10.03.462951 · Cited by 51 · see citing works
Funingana, I.-G., Reinius, M. A. V., Petrillo, A., Ang, J. E., & Brenton, J. D. (2021) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2021.02.008 · Cited by 23 · see citing works
Aivalioti, M. M., Bartholdy, B. A., Pradhan, K., Bhagat, T. D., Zintiridou, A., Jeong, J. J., Thiruthuvanathan, V. J., Pujato, M., Paranjpe, A., Zhang, C., et al. (2022) · Blood Cancer Discovery · doi:10.1158/2643-3230.bcd-21-0226 · Cited by 22 · see citing works
“Exome sequencing of sorted cKit+ Lymph– Ery– HSPCs and paired tail tissue specimen using the Memorial Sloan Kettering Cancer Center’s Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT) mouse panel of 578 cancerrelated genes (31) showed evidence for expansion of clonal cell populations in all leuke…”
MethodMondaca, S., Margolis, M., Sanchez-Vega, F., Jonsson, P., Riches, J. C., Ku, G. Y., Hechtman, J. F., Tuvy, Y., Berger, M. F., Shah, M. A., et al. (2019) · Gastric Cancer · doi:10.1007/s10120-018-0861-7 · Cited by 21 · see citing works
Self-citationA microglia clonal inflammatory disorder in Alzheimer’s disease
Vicario, R., Fragkogianni, S., Weber, L., Lazarov, T., Hu, Y., Hayashi, S. Y., Craddock, B., Socci, N. D., Alberdi, A., Baako, A., et al. (2025) · eLife · doi:10.7554/elife.96519.3 · Cited by 21 · see citing works
Self-citationGmeiner, W. H. (2021) · OncoTargets and Therapy · doi:10.2147/ott.s242224 · Cited by 18 · see citing works
Ecker, B. L., Court, C. M., Janssen, Q. P., Tao, A. J., D’Angelica, M. I., Drebin, J. A., Gonen, M., O’Reilly, E. M., Jarnagin, W. R., Wei, A. C., et al. (2022) · Journal of the American College of Surgeons · doi:10.1097/xcs.0000000000000212 · Cited by 13 · see citing works
PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue
Vorontsov, E., Shaikovski, G., Casson, A., Viret, J., Zimmermann, E., Tenenholtz, N., Wang, Y. K., Bernhard, J. H., Godrich, R. A., Retamero, J. A., et al. (2025) · arXiv · doi:10.48550/arxiv.2506.13063
- Authors
- Cheng, D. T., Mitchell, T. N., Zehir, A., Shah, R. H., Benayed, R., Syed, A., Chandramohan, R., Liu, Z. Y., Won, H. H., Scott, S. N., Brannon, A. R., O'Reilly, C., Sadowska, J., Casanova, J., Yannes, A., Hechtman, J. F., Yao, J., Song, W., Ross, D. S., Oultache, A., Dogan, S., Borsu, L., Hameed, M., Nafa, K., Arcila, M. E., Ladanyi, M., & Berger, M. F.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- Corresponding author
- Berger, Michael F.
- ORCID
- Venue
- The Journal of Molecular Diagnostics
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 17
- Issue
- 3
- Pages
- 251-264
- ISSN
- 1525-1578 (ISSN-L)
- PMC
- PMC5808190
- OpenAlex
- W223909586
- Cited by
- 2,119
- References
- 8
- Citations by year
- 2026: 139 · 2025: 225 · 2024: 246 · 2023: 188 · 2022: 252 · 2021: 240 · 2020: 231 · 2019: 176 · 2018: 151 · 2017: 126 · 2016: 101 · 2015: 40 · 2014: 3
- FWCI
- 46.08
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Molecular Diagnostics (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Department of Pathology, Memorial Sloan Kettering Cancer Center
- Farmer Family Foundation
- Geoffrey Beene Cancer Research Center
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
- Keywords
- MSK-IMPACT, somatic mutations, hybridization capture sequencing, precision oncology, solid tumors, formalin-fixed paraffin-embedded tissue, targeted deep sequencing, copy number alterations, structural rearrangement, low-frequency variant detection, analytical method validation, targeted therapy
- MeSH terms
- DNA, DNA Mutational Analysis, Genotype, Humans, Mutation, Neoplasms, Reproducibility of Results, Paraffin Embedding, High-Throughput Nucleotide Sequencing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
