Pre-clinical validation of an RNA-based precision oncology platform for patient-therapy alignment in a diverse set of human malignancies resistant to standard treatments
Open accessAbstract
Predicting tumor sensitivity to antineoplastics remains an elusive challenge, with no methods demonstrating predictive power. Joint analysis of tumors—from patients with distinct malignancies who had progressed on multiple lines of therapy—and drug perturbation transcriptional profiles predicted sensitivity to 28 of 350 drugs, 26 of which (93%) were confirmed in low-passage, patient-derived xenograft (PDX) models. Drugs were prioritized based on their ability to either invert the activity of individual Master Regulator proteins, with available high-affinity inhibitors, or of the modules they comprise (Tumor-Checkpoints), based on de novo mechanism of action analysis. Of 138 PDX mice enrolled in 16 single and 18 multi-protein treatment arms, a disease control rate (DCR) of 68% and 91 %, and an objective response rate (ORR) of 12% and 17%, were achieved respectively, compared to 6% and 0% in the negative controls arm, with multi-protein drugs achieving significantly more durable responses. Thus, these approaches may effectively complement and expand current precision oncology approaches, as also illustrated by a case study.
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?
PDX model systems are valuable in basic science and personalized medicine because they have clinical and molecular features representative of human disease.
“These PDX model systems are of particular value in both basic science and potentially personalized medicine research 180,183,222 as they have clinical and molecular features that are quite representative of the human disease 223,224,225,226 .”
From Osteosarcoma (2022) · cites this paper as [226]
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
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989 · see citing works
Molecular portraits of human breast tumours
Perou, C., Sørlie, T., Eisen, M., van de Rijn, M., Jeffrey, S., Rees, C. A., Pollack, J., Ross, D., Johnsen, H., Akslen, L., et al. (2000) · Nature · doi:10.1038/35021093 · Cited by 16,551 · see citing works
Nishimura, R., Osako, T., Nishiyama, Y., Tashima, R., Nakano, M., Fujisue, M., Toyozumi, Y., & Arima, N. (2013) · Oncology · doi:10.1159/000353099 · Cited by 13,239 · see citing works
Comprehensive molecular portraits of human breast tumours
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11412 · Cited by 12,129 · see citing works
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950 · see citing works
Lehmann, B. D., Bauer, J. A., Chen, X., Sanders, M. E., Chakravarthy, A. B., Shyr, Y., & Pietenpol, J. A. (2011) · Journal of Clinical Investigation · doi:10.1172/jci45014 · Cited by 5,592 · see citing works
Ki67 expression in breast cancer
Elkablawy, M. A., Albasri, A. M., Mohammed, R. A., Hussainy, A. S., Nouh, M. M., & Alhujaily, A. S. (2016) · Saudi Medical Journal · doi:10.15537/smj.2016.2.12285 · Cited by 4,382 · see citing works
Greaves, M., & Maley, C. C. (2012) · Nature · doi:10.1038/nature10762 · Cited by 3,162 · see citing works
DrugBank: a knowledgebase for drugs, drug actions and drug targets
Wishart, D. S., Knox, C., Guo, A. C., Cheng, D., Shrivastava, S., Tzur, D., Gautam, B., & Hassanali, M. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm958 · Cited by 2,852 · see citing works
Molecular principles of metastasis: a hallmark of cancer revisited
Fares, J., Fares, M. Y., Khachfe, H. H., Salhab, H. A., & Fares, Y. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0134-x · Cited by 2,423 · see citing works
Margolin, A. A., Nemenman, I., Basso, K., Wiggins, C., Stolovitzky, G., Favera, R. D., & Califano, A. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-s1-s7 · Cited by 2,420 · see citing works
Self-citationMargolin, A. A., Nemenman, I. M., Basso, K., Wiggins, C. H., Stolovitzky, G. A., Favera, R. D., & Califano, A. (2006) · BMC Bioinformatics · doi:10.7916/d8g15zbp · Cited by 2,260 · see citing works
Self-citationElyada, E., Bolisetty, M., Laise, P., Flynn, W. F., Courtois, E. T., Burkhart, R. A., Teinor, J. A., Belleau, P., Biffi, G., Lucito, M. S., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0094 · Cited by 2,241 · see citing works
Self-citationMemorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT)
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., et al. (2015) · The Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2014.12.006 · Cited by 2,119 · see citing works
Addiction to Oncogenes--the Achilles Heal of Cancer
Weinstein, I. (2002) · Science · doi:10.1126/science.1073096 · Cited by 1,753 · see citing works
Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
Hidalgo, M. M., Amant, F. C., Biankin, A. V., Budínská, E., Byrne, A. T., Caldas, C., Clarke, R. B., de Jong, S., Jonkers, J., Mælandsmo, G. M., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-14-0001 · Cited by 1,748 · see citing works
Small molecules in targeted cancer therapy: advances, challenges, and future perspectives
Zhong, L., Li, Y., Xiong, L., Wang, W., Wu, M., Yuan, T., Yang, W. M., Tian, C., Miao, Z., Wang, T., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00572-w · Cited by 1,735 · see citing works
Reverse engineering of regulatory networks in human B cells
Basso, K., Margolin, A. A., Stolovitzky, G. A., Klein, U., Dalla‐Favera, R., & Califano, A. (2005) · Nature Genetics · doi:10.1038/ng1532 · Cited by 1,406 · see citing works
Self-citationHerschkowitz, J. I., Simin, K. J., Weigman, V., Mikaelian, I., Usary, J., Hu, Z., Rasmussen, K., Jones, L. P., Assefnia, S., Chandrasekharan, S., et al. (2007) · Genome biology · doi:10.1186/gb-2007-8-5-r76 · Cited by 1,277 · see citing works
The transcriptional network for mesenchymal transformation of brain tumours
Carro, M. S., Lim, W. K., Alvarez, M. J., Bollo, R. J., Zhao, X., Snyder, E. Y., Sulman, E. P., Anne, S. L., Doetsch, F. K., Colman, H., et al. (2009) · Nature · doi:10.1038/nature08712 · Cited by 1,242 · see citing works
Self-citationLe Tourneau, C., Delord, J.-P., Gonçalves, A., Gavoille, C., Dubot, C., Isambert, N., Campone, M., Trédan, O., Massiani, M.-A., Mauborgne, C., et al. (2015) · The Lancet Oncology · doi:10.1016/s1470-2045(15)00188-6 · Cited by 1,137 · see citing works
Mutations of multiple genes cause deregulation of NF-kB in diffuse large B-cell lymphoma
Compagno, M., Lim, W., Grunn, A., Nandula, S., Brahmachary, M., Shen, Q., Bertoni, F., Ponzoni, M., Scandurra, M., Califano, A., et al. (2009) · Nature · doi:10.1038/nature07968 · Cited by 1,116 · see citing works
Self-citationAlvarez, M. J., Shen, Y., Giorgi, F. M., Lachmann, A., Ding, B. B., Ye, B. H., & Califano, A. (2016) · Nature Genetics · doi:10.1038/ng.3593 · Cited by 966 · see citing works
Self-citationThe great escape: tumour cell plasticity in resistance to targeted therapy
Boumahdi, S., & de Sauvage, F. J. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0044-1 · Cited by 759 · see citing works
Patient-derived xenografts undergo mouse-specific tumor evolution
Ben-David, U., Ha, G., Tseng, Y.-Y., Greenwald, N. F., Oh, C., Shih, J., McFarland, J. M., Wong, B., Boehm, J. S., Beroukhim, R., et al. (2017) · Nature Genetics · doi:10.1038/ng.3967 · Cited by 716 · see citing works
Tumor measurement in the nude mouse
Euhus, D., Hudd, C., LaRegina, M. C., & Johnson, F. E. (1986) · Journal of Surgical Oncology · doi:10.1002/jso.2930310402 · Cited by 607 · see citing works
Zhang, X., Claerhout, S., Prat, A., Dobrolecki, L. E., Petrovic, I., Lai, Q., Landis, M. D., Wiechmann, L., Schiff, R., Giuliano, M., et al. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-4081 · Cited by 483 · see citing works
Genomic correlates of response to immune checkpoint blockade
Keenan, T. E., Burke, K. P., & Van Allen, E. M. (2019) · Nature Medicine · doi:10.1038/s41591-019-0382-x · Cited by 448 · see citing works
Meric-Bernstam, F., Brusco, L., Shaw, K., Horombe, C., Kopetz, S., Davies, M. A., Routbort, M., Piha-Paul, S. A., Janku, F., Ueno, N., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2014.60.4165 · Cited by 424 · see citing works
Limits to Personalized Cancer Medicine
Tannock, I. F., & Hickman, J. A. (2016) · New England Journal of Medicine · doi:10.1056/nejmsb1607705 · Cited by 418 · see citing works
Measuring Response in Solid Tumors: Unidimensional Versus Bidimensional Measurement
James, K., Eisenhauer, E. A., Christian, M. C., Terenziani, M., Vena, D. A., Muldal, A., & Therasse, P. (1999) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/91.6.523 · Cited by 401 · see citing works
Generation of orthotopic and heterotopic human pancreatic cancer xenografts in immunodeficient mice
Kim, M. P., Evans, D. B., Wang, H., Abbruzzese, J. L., Fleming, J. B., & Gallick, G. E. (2009) · Nature Protocols · doi:10.1038/nprot.2009.171 · Cited by 383 · see citing works
Zou, M., Toivanen, R., Mitrofanova, A., Floc’h, N., Hayati, S., Sun, Y., Magnen, C. L., Chester, D., Mostaghel, E. A., Califano, A., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-1174 · Cited by 380 · see citing works
Self-citationLachmann, A., Giorgi, F. M., López, G., & Califano, A. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw216 · Cited by 379 · see citing works
Self-citationElucidating Compound Mechanism of Action by Network Perturbation Analysis
Woo, J. H., Shimoni, Y., Yang, W. S., Subramaniam, P., Iyer, A., Nicoletti, P., Rodríguez Martínez, M., López, G., Mattioli, M., Realubit, R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.056 · Cited by 351 · see citing works
Self-citationA community computational challenge to predict the activity of pairs of compounds
Community, N.-D., Bansal, M., Yang, J., Karan, C., Menden, M. P., Costello, J. C., Tang, H., Xiao, G., Li, Y., Allen, J., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.3052 · Cited by 321 · see citing works
Self-citationAytés, À., Mitrofanova, A., Lefèbvre, C., Alvarez, M. J., Castillo-Martín, M., Zheng, T., Eastham, J. A., Gopalan, A., Pienta, K. J., Shen, M. M., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.03.017 · Cited by 319 · see citing works
Self-citationSingle-Cell Protein Activity Analysis Identifies Recurrence-Associated Renal Tumor Macrophages
Obradovic, A., Chowdhury, N., Haake, S., Ager, C., Wang, V., Vlahos, L. J., Guo, X. V., Aggen, D., Rathmell, W., Jonasch, E., et al. (2021) · Cell · doi:10.1016/j.cell.2021.04.038 · Cited by 303 · see citing works
Self-citationFichtner, I., Rolff, J., Soong, R., Hoffmann, J., Hammer, S., Sommer, A., Becker, M., & Merk, J. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-08-0138 · Cited by 286 · see citing works
Reproducible pharmacogenomic profiling of cancer cell line panels
Haverty, P. M., Lin, E., Tan, J., Yu, Y., Lam, B., Lianoglou, S., Neve, R. M., Martin, S. E., Settleman, J., Yauch, R. L., et al. (2016) · Nature · doi:10.1038/nature17987 · Cited by 279 · see citing works
The Genotype-Tissue Expression (GTEx) project
Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., Hasz, R., Walters, G., Garcia, F., Young, N., et al. (2013) · Nature Genetics · doi:10.1038/ng.2653 · Cited by 263 · see citing works
Direct reversal of glucocorticoid resistance by AKT inhibition in acute lymphoblastic leukemia
Piovan, E., Yu, J.-Y., Tosello, V., Herranz, D., Ambesi-Impiombato, A., da Silva, A. D., Sanchez-Martin, M., Pérez-García, A., Rigo, I., Castillo, M., et al. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.10.022 · Cited by 259 · see citing works
Self-citationVaubel, R. A., Tian, S., Remonde, D., Schroeder, M. A., Mladek, A. C., Kitange, G. J., Caron, A., Kollmeyer, T. M., Grove, R., Peng, S., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-0909 · Cited by 227 · see citing works
Self-citationAn expanded universe of cancer targets
Hahn, W. C., Bader, J. S., Braun, T. P., Califano, A., Clemons, P. A., Druker, B. J., Ewald, A. J., Fu, H., Jagu, S., Kemp, C. J., et al. (2021) · Cell · doi:10.1016/j.cell.2021.02.020 · Cited by 213 · see citing works
Self-citationAlvarez, M. J., Subramaniam, P. S., Tang, L. H., Grunn, A., Aburi, M., Rieckhof, G., Komissarova, E. V., Hagan, E. A., Bodei, L., Clemons, P. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0138-4 · Cited by 210 · see citing works
Self-citationThe recurrent architecture of tumour initiation, progression and drug sensitivity
Califano, A., & Alvarez, M. J. (2016) · Nature reviews. Cancer · doi:10.1038/nrc.2016.124 · Cited by 198 · see citing works
Self-citationA Validated Tumorgraft Model Reveals Activity of Dovitinib Against Renal Cell Carcinoma
Sivanand, S., Peña‐Llopis, S., Zhao, H., Kucejová, B., Spence, P., Pavía-Jiménez, A., Yamasaki, T., McBride, D. J., Gillen, J. M., Wolff, N. C., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003643 · Cited by 193 · see citing works
Chen, J. C., Alvarez, M. J., Talos, F., Dhruv, H., Rieckhof, G. E., Iyer, A., Diefes, K. L., Aldape, K., Berens, M., Shen, M. M., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.021 · Cited by 188 · see citing works
Self-citationDifferentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer
Risom, T., Langer, E. M., Chapman, M. P., Rantala, J., Fields, A. J., Boniface, C., Alvarez, M. J., Kendsersky, N. D., Pelz, C. R., Johnson-Camacho, K., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05729-w · Cited by 174 · see citing works
Self-citationRajbhandari, P., López, G., Capdevila, C., Salvatori, B., Yu, J., Barrueco, R. R., Martínez, D., Yarmarkovich, M., Weichert‐Leahey, N., Abraham, B. J., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0861 · Cited by 168 · see citing works
Self-citationTrends in the global immuno-oncology landscape
Tang, J., Pearce, L., O’Donnell-Tormey, J., & Hubbard-Lucey, V. M. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.167 · Cited by 150 · see citing works
Uniform genomic data analysis in the NCI Genomic Data Commons
Zhang, Z., Hernandez, K. M., Savage, J. H., Li, S., Miller, D. P., Agrawal, S., Ortuño, F. M., Staudt, L. M., Heath, A. P., & Grossman, R. L. (2021) · Nature Communications · doi:10.1038/s41467-021-21254-9 · Cited by 149 · see citing works
Dix, D. B., Seibel, N. L., Chi, Y.-Y., Khanna, G., Gratias, E. J., Anderson, J. R., Mullen, E. A., Geller, J. I., Kalapurakal, J. A., Paulino, A. C., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.77.1931 · Cited by 137 · see citing works
A modular master regulator landscape controls cancer transcriptional identity
Paull, E., Aytés, À., Jones, S. J., Subramaniam, P. S., Giorgi, F. M., Douglass, E. F., Tagore, S., Chu, B., Vasciaveo, A., Zheng, S., et al. (2021) · Cell · doi:10.1016/j.cell.2020.11.045 · Cited by 132 · see citing works
Self-citationWhen Progressive Disease Does Not Mean Treatment Failure: Reconsidering the Criteria for Progression
Oxnard, G. R., Morris, M. J., Hodi, F. S., Baker, L. H., Kris, M. G., Venook, A. P., & Schwartz, L. H. (2012) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djs353 · Cited by 125 · see citing works
Walsh, L. A., Alvarez, M. J., Sabio, E. Y., Reyngold, M., Makarov, V., Mukherjee, S., Lee, K.-W., Desrichard, A., Turcan, Ş., Dalin, M. G., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.07.052 · Cited by 118 · see citing works
Self-citationDing, H., Douglass, E. F., Sonabend, A. M., Mela, A., Bose, S., Gonzalez, C., Canoll, P., Sims, P. A., Alvarez, M. J., & Califano, A. (2018) · Nature Communications · doi:10.1038/s41467-018-03843-3 · Cited by 118 · see citing works
Self-citationBarrueco, R. R., Yu, J., Saucedo-Cuevas, L. P., Oliván, M., Llobet‐Navàs, D., Putcha, P., Castro, V., Murga-Penas, E., Collazo-Lorduy, A., Castillo-Martín, M., et al. (2015) · Genes & Development · doi:10.1101/gad.262642.115 · Cited by 108 · see citing works
Self-citationPLATE-Seq for genome-wide regulatory network analysis of high-throughput screens
Bush, E. C., Ray, F., Alvarez, M. J., Realubit, R. B., Hai, L., Karan, C., Califano, A., & Sims, P. A. (2017) · Nature Communications · doi:10.1038/s41467-017-00136-z · Cited by 107 · see citing works
Self-citationDrug and disease signature integration identifies synergistic combinations in glioblastoma
Stathias, V., Jermakowicz, A. M., Maloof, M. E., Forlin, M., Walters, W. M., Suter, R. K., Durante, M. A., Williams, S. L., Harbour, J. W., Volmar, C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07659-z · Cited by 99 · see citing works
Daw, N. C., Chi, Y., Kalapurakal, J. A., Kim, Y., Hoffer, F. A., Geller, J. I., Perlman, E. J., Ehrlich, P. F., Mullen, E. A., Warwick, A. B., et al. (2020) · Journal of Clinical Oncology · doi:10.1200/jco.19.01265 · Cited by 94 · see citing works
Zeleke, T. Z., Pan, Q., Chiuzan, C. C., Onishi, M., Li, Y., Tan, H., Alvarez, M. J., Honan, E., Yang, M., Chia, P. L., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00489-5 · Cited by 84 · see citing works
Self-citationNested Stromal Epithelial Tumor of the Liver
Heerema‐McKenney, A., Leuschner, I., Smith, N., Sennesh, J. D., & Finegold, M. J. (2004) · The American Journal of Surgical Pathology · doi:10.1097/01.pas.0000147398.03015.9e · Cited by 80 · see citing works
Douglass, E. F., Allaway, R. J., Szalai, B., Wang, W., Tian, T., Fernández-Torras, A., Realubit, R., Karan, C., Zheng, S., Pessia, A., et al. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100492 · Cited by 68 · see citing works
Self-citationSubcutaneous tumor volume measurement in the awake, manually restrained mouse using MRI
Kersemans, V., Cornelissen, B. T., Allen, P. D., Beech, J. S., & Smart, S. (2012) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.23829 · Cited by 67 · see citing works
Wang, V. E. H., Xue, J. Y., Frederick, D. T., Cao, Y., Lin, E., Wilson, C., Urisman, A., Carbone, D. P., Flaherty, K. T., Bernards, R., et al. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-2779 · Cited by 55 · see citing works
Bisikirska, B. C., Bansal, M., Shen, Y., Teruya‐Feldstein, J., Chaganti, R. S. K., & Califano, A. (2015) · Cancer Research · doi:10.1158/0008-5472.can-15-0828 · Cited by 49 · see citing works
Self-citationAssmann, G., Kappler, R., Zeindl‐Eberhart, E., Schmid, I., Häberle, B., Graeb, C., Jung, A., & Müller‐Höcker, J. (2012) · Human Pathology · doi:10.1016/j.humpath.2012.03.018 · Cited by 44 · see citing works
OncoLoop: A Network-Based Precision Cancer Medicine Framework
Vasciaveo, A., Arriaga, J. M., de Almeida, F. N., Zou, M., Douglass, E. F., Picech, F., Shibata, M., Rodríguez-Calero, A., de Brot, S., Mitrofanova, A., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0342 · Cited by 38 · see citing works
Self-citationInterval approach to assessing antitumor activity for tumor xenograft studies
Wu, J., & Houghton, P. J. (2009) · Pharmaceutical Statistics · doi:10.1002/pst.369 · Cited by 30 · see citing works
Patient-Derived Orthotopic Xenograft (PDOX) Mouse Models of Primary and Recurrent Meningioma
Zhang, H., Qi, L., Du, Y., Huang, L. F., Braun, F., Kogiso, M., Zhao, Y., Li, C., Lindsay, H., Zhao, S., et al. (2020) · Cancers · doi:10.3390/cancers12061478 · Cited by 30 · see citing works
Two-sample tests for growth curves under dependent right censoring
Vardi, Y., Ying, Z., & Zhang, C.-H. (2001) · Biometrika · doi:10.1093/biomet/88.4.949 · Cited by 28 · see citing works
Calcifying nested stromal-epithelial tumor (CNSET) of the liver in Beckwith-Wiedemann syndrome
Khoshnam, N., Robinson, H. B., Clay, M. R., Schaffer, L. R., Gillespie, S. E., & Shehata, B. M. (2016) · European Journal of Medical Genetics · doi:10.1016/j.ejmg.2016.12.001 · Cited by 25 · see citing works
Calcifying Nested Stromal-Epithelial Tumor of the Liver: An Update and Literature Review
Benedict, M., & Zhang, X. (2018) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2017-0346-rs · Cited by 22 · see citing works
Coutinho, D. F., Mundi, P. S., Marks, L. J., Burke, C., Ortiz, M. V., Diolaiti, D., Bird, L., Vallance, K., Ibáñez, G., You, D., et al. (2022) · Med · doi:10.1016/j.medj.2022.09.002 · Cited by 22 · see citing works
Self-citationLaise, P., Turunen, M. M., Garcia, A. C., Tomassoni, L., Maurer, H. C., Elyada, E., Schmierer, B., Worley, J., Kesner, J. S., Tan, X., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.27.357269 · Cited by 21 · see citing works
Self-citationReply to ‘H-STS, L-STS and KRJ-I are not authentic GEPNET cell lines’
Alvarez, M. J., Yan, P., Alpaugh, M. L., Bowden, M., Sicińska, E., Zhou, C. W., Karan, C., Realubit, R. B., Mundi, P. S., Grunn, A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0509-5 · Cited by 16 · see citing works
Self-citationTranslational Strategies for Repotrectinib in Neuroblastoma
O’Donohue, T. J., Ibáñez, G., Coutinho, D. F., Mauguen, A., Siddiquee, A. H., Rosales, N., Calder, P., Ndengu, A. A., You, D., Long, M. M., et al. (2021) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-21-0126 · Cited by 13 · see citing works
Self-citationTehseen, S., Rapkin, L. B., Schemankewitz, E., Magliocca, J. F., & Romero, R. (2017) · Pediatric Transplantation · doi:10.1111/petr.13000 · Cited by 11 · see citing works
Na, Y.-S., Ryu, M., Park, Y. S., Lee, C., Lee, J., Park, Y., Park, J. M., Ma, J., & Kang, Y. (2020) · Scientific Reports · doi:10.1038/s41598-020-64552-w · Cited by 11 · see citing works
Single-cell based elucidation of molecularly-distinct glioblastoma states and drug sensitivityPreprint
Ding, H., Burgenske, D. M., Zhao, W., Subramaniam, P. S., Bakken, K. K., He, L., Alvarez, M. J., Laise, P., Paull, E., Spinazzi, E. F., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/675439 · Cited by 8 · see citing works
Self-citation
Flagged first, then by citations
1 of the 85 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Beird, H. C., Bielack, S. S., Flanagan, A. M., Gill, J., Heymann, D., Janeway, K. A., Livingston, J. A., Roberts, R. D., Strauss, S. J., & Gorlick, R. (2022) · Nature Reviews Disease Primers · doi:10.1038/s41572-022-00409-y · Cited by 660 · see citing works
NetBID2 provides comprehensive hidden driver analysis
Dong, X., Ding, L., Thrasher, A., Wang, X., Liu, J., Pan, Q., Rash, J., Dhungana, Y., Yang, X., Risch, I., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38335-6 · Cited by 37 · see citing works
PDX models for functional precision oncology and discovery science
Blanchard, Z., Brown, E. A., Ghazaryan, A., & Welm, A. L. (2024) · Nature reviews. Cancer · doi:10.1038/s41568-024-00779-3 · Cited by 38 · see citing works
Rosenberger, G., Li, W., Turunen, M. M., He, J., Subramaniam, P. S., Pampou, S., Griffin, A. T., Karan, C., Kerwin, P., Murray, D., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47957-3 · Cited by 21 · see citing works
Self-citationFailli, M., Demir, S., Río-Álvarez, Á. D., Carrillo-Reixach, J., Royo, L., Domingo-Sàbat, M., Childs, M., Maibach, R., Alaggio, R., Czauderna, P. S., et al. (2023) · Hepatology · doi:10.1097/hep.0000000000000601 · Cited by 16 · see citing works
The Hallmarks of Predictive Oncology
Singhal, A., Zhao, X., Wall, P., So, E., Calderini, G., Partin, A., Koussa, N. C., Vasanthakumari, P., Narykov, O., Zhu, Y., et al. (2025) · Cancer Discovery · doi:10.1158/2159-8290.cd-24-0760 · Cited by 17 · see citing works
Single-cell analysis reveals a longitudinal trajectory of meningioma evolution and heterogeneity
Lee, J. Y., Lee, E. J., Seo, B. Y., Kim, J., Song, Y., Lee, D., Moon, N., Koo, H., Park, C., Kim, M.-S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-60653-0 · Cited by 12 · see citing works
Radigan, R., Kao, C. S., Krainock, M. R., Liu, M. C., Gupta, V., Alexander, L., Missios, S., Hsu, J., Sangal, A., Milano, M. T., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-88266-z · Cited by 11 · see citing works
Agrawal, P., Jain, N., Gopalan, V., Timon, A. J., Singh, A., Rajagopal, P., & Hannenhalli, S. (2024) · iScience · doi:10.1016/j.isci.2024.109752 · Cited by 7 · see citing works
Systems Biology of the Cancer Cell
Janes, K. A., & Lazzara, M. J. (2024) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-103122-030552 · Cited by 9 · see citing works
Differential analysis of testicular LncRNA in Kazakh horses of different ages
Zhao-Fa, L. U., Wen, M., Yao, X., Meng, J., Wang, J., Zeng, Y., Li, L., & Ren, W. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.146228 · Cited by 9 · see citing works
Subtype-selective prenylated isoflavonoids disrupt regulatory drivers of MYCN-amplified cancers
Stokes, M. E., Vasciaveo, A., Small, J. C., Zask, A., Reznik, E., Smith, N., Wang, Q., Daniels, J., Forouhar, F., Rajbhandari, P., et al. (2023) · Cell chemical biology · doi:10.1016/j.chembiol.2023.11.007 · Cited by 9 · see citing works
Self-citationReal-World Outcomes of Molecular Tumor Board Treatment Recommendations
Nichetti, F., Brambilla, M., Duca, M., Piccolo, A., Miliziano, D., Cavalli, C., Marra, F., Ambrosini, P., Zanella, C., Vernieri, C., et al. (2025) · JCO Precision Oncology · doi:10.1200/po-24-00387 · Cited by 8 · see citing works
BRAF inhibitor resistance in melanoma: from resistance mechanisms to therapeutic innovations
Shang, Y., Cao, T., Li, J., Li, J., ZHANG, L., Ma, Q., Feng, L., & Zhao, H. (2026) · Molecular Biomedicine · doi:10.1186/s43556-026-00425-4 · Cited by 8 · see citing works
Laise, P., Stanifer, M. L., Bosker, G., Sun, X., Triana, S., Doldan, P., Manna, F. L., Menna, M. D., Realubit, R. B., Pampou, S., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-03663-8 · Cited by 8 · see citing works
Self-citationRas-dependent activation of BMAL2 regulates hypoxic metabolism in pancreatic cancerPreprint
Curiel-Garcia, A., Holmstrom, S. R., Castillo, C., Palermo, C. F., Sastra, S. A., Andren, A. C., Tomassoni, L., Zhang, L., Large, T. Y. S. L., Sagalovskiy, I. R., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.03.19.533333 · Cited by 7 · see citing works
Self-citationEpigenetic targeting of PGBD5-dependent DNA damage in SMARCB1-deficient sarcomas
Kazansky, Y., Mueller, H. S., Cameron, D., Demarest, P., Zaffaroni, N., Arrighetti, N., Zuco, V., Mundi, P. S., Kuwahara, Y., Somwar, R., et al. (2025) · Journal of Clinical Investigation · doi:10.1172/jci179282 · Cited by 7 · see citing works
Self-citationA compendium of next-generation patient-derived models for diverse cancers
ElHarouni, D., Al‐Jazrawe, M., Choi, S., Dede, M., Hinoue, T., Misek, S. A., Noh, H., Zanella, L., Tseng, Y.-Y., Francies, H. E., et al. (2026) · Nature · doi:10.1038/s41586-026-10806-y · Cited by 8 · see citing works
Bhattacharyya, S., Ehsan, S., & Karacosta, L. G. (2023) · Frontiers in Network Physiology · doi:10.3389/fnetp.2023.1256104 · Cited by 7 · see citing works
Laise, P., Bosker, G., Babor, M., Sun, X., Andrews, S. J., Tomassoni, L., Califano, A., & Alvarez, M. J. (2025) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2024-011355 · Cited by 5 · see citing works
Self-citationYang, Z., Wei, S., Duan, H., Wang, X., Zhang, D., Kiang, K. M. Y., Deng, Y., Yang, Y., Ku, Y., Hu, W., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-68748-y · Cited by 7 · see citing works
Functional transcriptional signatures for tumor-type-agnostic phenotype predictionPreprint
Weistuch, C., Murgas, K. A., Zhu, J., Norton, L., Dill, K. A., Tannenbaum, A., & Deasy, J. O. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.12.536595 · Cited by 4 · see citing works
Fernández, E. C., Tomassoni, L., Zhang, X., Wang, J., Obradović, A., Laise, P., Griffin, A. T., Vlahos, L. J., Minns, H. E., Morales, D. V., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.17.585370 · Cited by 4 · see citing works
Self-citationJian, C., Fu, H., Wu, W., Zhang, N., Liu, Z., Xia, Z., Luo, P., Zhang, H., & Cheng, Q. (2026) · Molecular Cancer · doi:10.1186/s12943-026-02594-w · Cited by 4 · see citing works
Rusciano, D. (2026) · Journal of Personalized Medicine · doi:10.3390/jpm16040176 · Cited by 3 · see citing works
Fernández, E. C., Tomassoni, L., Zhang, X., Wang, J., Obradović, A., Laise, P., Griffin, A. T., Vlahos, L. J., Minns, H. E., Morales, D. V., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02550-w · Cited by 8 · see citing works
Self-citationLaise, P., Bosker, G., Califano, A., & Alvarez, M. J. (2022) · Current Protocols · doi:10.1002/cpz1.544 · Cited by 3 · see citing works
Self-citationA highly annotated drug combination resource for catalyzing precision combinatorial therapy
You, T., Wang, L., Wang, J., Xu, D., Xu, X., Li, N., Li, M. J., Wang, H., & Dong, X. (2025) · Scientific Data · doi:10.1038/s41597-025-05630-4 · Cited by 3 · see citing works
Qian, K., Cai, Z., Liu, R., Wang, Y., Liu, J., Wu, M., Zhu, M., Wang, L., Gan, H., Yang, Z., et al. (2026) · Biomedicines · doi:10.3390/biomedicines14030592 · Cited by 2 · see citing works
Fifteen challenges for generative AI applications to cell biology
Dupire, L., Khan, A. A., Karaletsos, T., Kelley, S., Lundberg, E. K., Ma, J., Paull, E., Quake, S. R., Rabadán, R., Cassius, R., et al. (2026) · Cell · doi:10.1016/j.cell.2026.07.004 · Cited by 3 · see citing works
Self-citationOrgan-specific colonization and niche remodeling in a human tissue model of metastasis
Chramiec, A. G., Baldassarri, I., Öztürk, E., Tavakol, D. N., Wang, M. C., Summers, M., Yeager, K. J., Zhuang, R. Z., Srivastava, A., Tagore, S., et al. (2026) · Science Translational Medicine · doi:10.1126/scitranslmed.adv6871 · Cited by 2 · see citing works
Self-citationNormal tissue transcriptional signatures for tumor-type-agnostic phenotype prediction
Weistuch, C., Murgas, K. A., Zhu, J., Norton, L., Dill, K. A., Tannenbaum, A., & Deasy, J. O. (2024) · Scientific Reports · doi:10.1038/s41598-024-76625-1 · Cited by 2 · see citing works
Road Map to Defeat Pancreatic Cancer
Ferguson, L. P., & Tuveson, D. A. (2025) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-060624-044323 · Cited by 2 · see citing works
Identification and targeting of regulators of SARS-CoV-2–host interactions in the airway epithelium
Dirvin, B., Noh, H., Tomassoni, L., Cao, D., Zhou, Y., Ke, X., Qian, J., Jangra, S., Schotsaert, M., García‐Sastre, A., et al. (2025) · Science Advances · doi:10.1126/sciadv.adu2079 · Cited by 2 · see citing works
Self-citationRadigan, R., Sangal, A., Zhang, D., Weber, J., Schmalzle, M., Finkelstein, A., Duggal, V., & Kao, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0325769 · Cited by 2 · see citing works
Obradović, A., Tomassoni, L., Yu, D., Guillan, K. C., Souto, K., Fraser, E., Bates, S. E., Drake, C. G., Saenger, Y. M., Cruz, F. S. D., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.28.482410 · Cited by 2 · see citing works
Self-citationPan-cancer inference and validation of hypermorphic, hypomorphic and neomorphic mutations
Tagore, S., Tsang, S., Tangermann, C., Hu, L. Z., Diederichs, S., Mills, G. B., & Califano, A. (2026) · Nature Genetics · doi:10.1038/s41588-025-02482-x · Cited by 1 · see citing works
Self-citationDermawan, J. K., Vanoli, F., de Wardin, H. D. T., Levi, J. N., Sanchez, G. D. I., Siddiquee, A. H., Brosius, S., You, D., Tirode, F., Sung, P., et al. (2026) · Science Advances · doi:10.1126/sciadv.aea6453 · Cited by 1 · see citing works
Self-citationDansık, A., Sarıca, S., Öztürk, E., & Tunçbağ, N. (2026) · npj Systems Biology and Applications · doi:10.1038/s41540-026-00697-0 · Cited by 1 · see citing works
Laise, P., Turunen, M., Curiel‐García, Á., Tomassoni, L., Maurer, H. C., Elyada, E., Schmierer, B., Worley, J., Kesner, J. S., Tan, X., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02714-8 · Cited by 22 · see citing works
Self-citationA forward genetic screen identifies Sirtuin1 as a driver of neuroendocrine prostate cancer
de Almeida, F. N., Vasciaveo, A., Giacobbe, A., Bernardo, M. D., Zou, M., Antao, A. M., de Brot, S., Rodríguez-Calero, A., Chui, A., Wang, A. L. E., et al. (2026) · The Journal of Experimental Medicine · doi:10.1084/jem.20241484 · Cited by 2 · see citing works
Self-citationHu, L. Z., Hirschhorn, T., Goldstein, S. I., Murray, D., Trudeau, S. J., Turunen, M. M., Douglass, E. F., Pampou, S., Grunn, A., Dupire, L., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.08.561457 · Cited by 1 · see citing works
Self-citationWorley, J., Noh, H., You, D., Turunen, M. M., Ding, H., Paull, E., Griffin, A. T., Grunn, A., Zhang, M., Guillan, K. C., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.08.562798 · Cited by 1 · see citing works
Self-citationCalifano, A., Bild, A., Sims, P. A., & Stolovitzky, G. A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-821618-7.00260-1
Self-citationSystematic Pan-cancer Functional Inference and Validation of Hyper, Hypo and Neomorphic MutationsPreprint
Tagore, S., Tsang, S., Mills, G. B., & Califano, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.29.538640
Self-citationNetwork-based biomarker discovery for multiple sclerosis
Åkesson, J. (2023) · Linköping studies in science and technology. Dissertations · doi:10.3384/9789180753968
Kim, Y., Nagy, M. R., Pollard, R., & Rajagopal, P. S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.15.608073
Cohen, D. A., Obradović, A., Jovanovic, L., Mitani, Y., Li, T., Lee, S., De, D., Bethancourt, C.-N. R., Shin, A. E., Dunbar, K. J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.15.653154
Extracellular Matrix-Guided Tumor Stratification and Network Models Reveal Clinical Molecular GradesPreprint
Dansık, A., Sarıca, S., Öztürk, E., & Tunçbağ, N. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.29.672994
Mundi, P. S., Grunn, A., Kojadinovic, A., Pampou, S., Karan, C., Realubit, R. B., Caescu, C. I., Hibshoosh, H. H., Aburi, M., Alvarez, M. J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.12.681609
Self-citationLi, J., Zhang, N., Piao, M., Zhao, J., Wang, Y., Li, C., Li, S., Huang, Z., Li, Y., Xun, Z., et al. (2026) · Cancer and Metastasis Reviews · doi:10.1007/s10555-026-10392-5
- Authors
- Mundi, P. S., Dela Cruz, F. S., Grunn, A., Diolaiti, D., Mauguen, A., Rainey, A. R., Guillan, K. C., Siddiquee, A., You, D., Realubit, R., Karan, C., Ortiz, M. V., Accordino, M., Mistretta, S., Brogan, F., Bruce, J. N., Caescu, C. I., Carvajal, R., Crew, K., Decastro, G., Heaney, M., Henick, B., Hershman, D., Hou, J., Iwamoto, F., Jurcic, J., Kiran, R. P., Kluger, M., Kreisl, T., Lamanna, N., Lassman, A., Lim, E., Manji, G. A., McKhann, G., McKiernan, J., Neugut, A., Olive, K., Rosenblat, T., Schwartz, G. K., Shu, C., Sisti, M., Tergas, A., Vattakalam, R., Welch, M., Wenske, S., Wright, J. D., Hibshoosh, H., Kalinsky, K., Aburi, M., Sims, P. A., Alvarez, M. J., Kung, A. L., & Califano, A.
- Affiliations
- Columbia University Irving Medical Center (US)
- Memorial Sloan Kettering Cancer Center (US)
- Emory University (US)
- Corresponding author
- Alvarez, Mariano J.
- Kung, Andrew L.
- Califano, Andrea
- ORCID
- Mundi, Prabhjot S.
- Dela Cruz, Filemon S.
- Grunn, Adina
- Diolaiti, Daniel
- Mauguen, Audrey
- Rainey, Allison R.
- Guillan, Kristina C.
- Siddiquee, Armaan
- You, Daoqi
- Realubit, Ronald
- Karan, Charles
- Ortiz, Michael V.
- Accordino, Melissa
- Mistretta, Suzanne
- Brogan, Frances
- Bruce, Jeffrey N.
- Caescu, Cristina I.
- Carvajal, Richard
- Crew, Katherine
- Decastro, Guarionex
- Heaney, Mark
- Henick, Brian
- Hershman, Dawn
- Hou, June
- Iwamoto, Fabio
- Jurcic, Joseph
- Kiran, Ravi P.
- Kluger, Michael
- Kreisl, Teri
- Lamanna, Nicole
- Lassman, Andrew
- Lim, Emerson
- Manji, Gulam A.
- McKhann, Guy
- McKiernan, James
- Neugut, Alfred
- Olive, Kenneth
- Rosenblat, Todd
- Schwartz, Gary K.
- Shu, Catherine
- Sisti, Michael
- Tergas, Ana
- Vattakalam, Reena
- Welch, Mary
- Wenske, Sven
- Wright, Jason D.
- Hibshoosh, Hanina
- Kalinsky, Kevin
- Aburi, Mahalaxmi
- Sims, Peter A.
- Alvarez, Mariano J.
- Kung, Andrew L.
- Califano, Andrea
- Venue
- Cancer Discovery
- Publisher
- openRxiv
- Published
- 2021-10-03
- Volume
- 13
- Issue
- 6
- Pages
- 1386-1407
- ISSN
- 2159-8274 (ISSN-L)
- PMC
- PMC10239356
- OpenAlex
- W4365997950
- Cited by
- 51
- References
- 85
- Citations by year
- 2026: 15 · 2025: 14 · 2024: 7 · 2023: 10 · 2022: 5
- FWCI
- 6.58
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Cancer Discovery (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- CureSearch for Children's Cancer
- Memorial Sloan-Kettering Cancer Center (CA008748, P30 CA008748)
- National Institutes of Health (1s10od021764-01, 1s10od032433-01a1, 1s10od012351-01, CA008748, CA013696)
- Irving Medical Center, Columbia University (P30 CA008748)
- NIH Office of the Director (S10OD021764, S10 OD012351)
- National Cancer Institute (S10OD021764, S10 OD012351, U54CA209997, CA008748, CA013696, OD012351, CA209997, U01CA217858, CA217858, OD021764, P30CA008748, U01CA272610, R35CA197745, P30CA013696)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- precision oncology, patient-derived xenografts, oncotarget, drug response prediction, basket trials, umbrella trials, disease control rate
- MeSH terms
- Antineoplastic Agents, Humans, Medical Oncology, Neoplasms, Precision Medicine, Transcriptome
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