An integrated approach to uncover drivers of cancer
Open accessAbstract
Systematic characterization of cancer genomes has revealed a staggering number of diverse aberrations that differ among individuals, such that the functional importance and physiological impact of most tumor genetic alterations remain poorly defined. We developed a computational framework that integrates chromosomal copy number and gene expression data for detecting aberrations that promote cancer progression. We demonstrate the utility of this framework using a melanoma data set. Our analysis correctly identified known drivers of melanoma and predicted multiple tumor dependencies. Two dependencies, TBC1D16 and RAB27A, confirmed empirically, suggest that abnormal regulation of protein trafficking contributes to proliferation in melanoma. Together, these results demonstrate the ability of integrative Bayesian approaches to identify candidate drivers with biological, and possibly therapeutic, importance in cancer.
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?
CONEXIC uses a Bayesian network to integrate gene expression and copy number variation from tumour samples to identify driver mutations.
“Similarly, CONEXIC (Akavia et al., 2010) also uses a BN to integrate gene expression and copy number variation from tumour samples to identify driver mutations.”
From Using machine learning approaches for multi-omics data analysis: A review (2021) · cites this paper as Akavia et al., 2010
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
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
Bootstrap methods: another look at the jackknife
Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602 · see citing works
Causality: Models, Reasoning, and Inference
Pearl, J. (2009) · doi:10.1017/cbo9780511803161 · Cited by 11,653 · see citing works
Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., et al. (1999) · Science · doi:10.1126/science.286.5439.531 · Cited by 11,516 · see citing works
Term-Weighting Approaches in Automatic Text Retrieval
Salton, G., & Buckley, C. (1988) · Information Processing & Management · doi:10.1016/0306-4573(88)90021-0 · Cited by 11,421 · see citing works
In silico prediction of protein-protein interactions in human macrophages
Souiai, O., Guerfali, F. Z., Miled, S. B., Brun, C., & Benkahla, A. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-157 · Cited by 10,785 · see citing works
Significance analysis of microarrays applied to the ionizing radiation response
Tusher, V. G., Tibshirani, R., & Chu, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.091062498 · Cited by 10,568 · 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
CAUSALITY: MODELS, REASONING AND INFERENCE
Hitchcock, C., & Pearl, J. (2001) · The Philosophical Review · doi:10.2307/3182612 · Cited by 4,824 · see citing works
The landscape of somatic copy-number alteration across human cancers
Beroukhim, R., Mermel, C. H., Porter, D., Wei, G., Raychaudhuri, S., Donovan, J., Barretina, J., Boehm, J. S., Dobson, J., Urashima, M., et al. (2010) · Nature · doi:10.1038/nature08822 · Cited by 4,017 · see citing works
Stratton, M. R., Campbell, P. J., & Futreal, P. A. (2009) · Nature · doi:10.1038/nature07943 · Cited by 3,458 · see citing works
Using Bayesian Networks to Analyze Expression Data
Friedman, N., Michal Linial, B., Nachman, I., & Pe’er, D. (2000) · Journal of Computational Biology · doi:10.1089/106652700750050961 · Cited by 3,248 · see citing works
Causality: models, reasoning, and inference
(2000) · Choice Reviews Online · doi:10.5860/choice.38-1494a · Cited by 2,969 · see citing works
Baumann, H., & Gauldie, J. (1994) · Immunology Today · doi:10.1016/0167-5699(94)90137-6 · Cited by 2,907 · see citing works
Pinkel, D., Segraves, R., Sudar, D., Clark, S. M., Poole, I., Kowbel, D., Collins, C. C., Kuo, W.-L., Chen, C., Zhai, Y., et al. (1998) · Nature Genetics · doi:10.1038/2524 · Cited by 2,238 · see citing works
A comprehensive catalogue of somatic mutations from a human cancer genome
Pleasance, E. D., Cheetham, R. K., Stephens, P. J., McBride, D. J., Humphray, S. J., Greenman, C. D., Varela, I., Lin, M.-L., Ordóñez, G. R., Bignell, G. R., et al. (2010) · Nature · doi:10.1038/nature08658 · Cited by 1,696 · see citing works
Osborn, L., Hession, C. A., Tizard, R., Vassallo, C., Luhowskyj, S., Rosso, G. C., & Lobb, R. R. (1989) · Cell · doi:10.1016/0092-8674(89)90775-7 · Cited by 1,690 · see citing works
Segal, E., Shapira, M., Regev, A., Pe’er, D., Botstein, D., Koller, D., & Friedman, N. (2003) · Nature Genetics · doi:10.1038/ng1165 · Cited by 1,686 · see citing works
Witten, D., Tibshirani, R. J., & Hastie, T. (2009) · Biostatistics · doi:10.1093/biostatistics/kxp008 · Cited by 1,580 · see citing works
Garraway, L. A., Widlund, H. R., Rubin, M. A., Getz, G., Berger, A. J., Ramaswamy, S., Beroukhim, R., Milner, D. A., Granter, S. R., Du, J., et al. (2005) · Nature · doi:10.1038/nature03664 · Cited by 1,548 · see citing works
THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL
Welch, B. L. (1938) · Biometrika · doi:10.1093/biomet/29.3-4.350 · Cited by 1,506 · 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
MITF: master regulator of melanocyte development and melanoma oncogene
Levy, C., Khaled, M., & Fisher, D. E. (2006) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2006.07.008 · Cited by 1,169 · see citing works
Control of Macroautophagy by Calcium, Calmodulin-Dependent Kinase Kinase-β, and Bcl-2
Høyer-Hansen, M., Bastholm, L., Szyniarowski, P., Campanella, M., Szabadkai, G., Farkas, T., Bianchi, K., Fehrenbacher, N., Elling, F., Rizzuto, R., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2006.12.009 · Cited by 1,072 · see citing works
Beroukhim, R., Getz, G. A., Nghiemphu, L., Barretina, J., Hsueh, T., Linhart, D., Vivanco, I., Lee, J. C., Huang, J. H. Y., Alexander, S., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0710052104 · Cited by 1,055 · see citing works
Promiscuous Mutations Activate the Noncanonical NF-κB Pathway in Multiple Myeloma
Keats, J. J., Fonseca, R., Chesi, M., Schop, R., Baker, A., Chng, W.-J., Van Wier, S., Tiedemann, R., Shi, C.-X., Sebag, M., et al. (2007) · Cancer Cell · doi:10.1016/j.ccr.2007.07.003 · Cited by 983 · see citing works
Annunziata, C. M., Davis, R. E., Demchenko, Y., Bellamy, W., Gabrea, A., Zhan, F., Lenz, G., Hanamura, I., Wright, G., Xiao, W., et al. (2007) · Cancer Cell · doi:10.1016/j.ccr.2007.07.004 · Cited by 952 · see citing works
Trevisani, M., Siemens, J., Materazzi, S., Bautista, D. M., Nassini, R., Campi, B., Imamachi, N., Andrè, E., Patacchini, R., Cottrell, G. S., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705923104 · Cited by 775 · see citing works
Melanocytes and theMicrophthalmiaTranscription Factor Network
Steingrı́msson, E., Copeland, N. G., & Jenkins, N. A. (2004) · Annual Review of Genetics · doi:10.1146/annurev.genet.38.072902.092717 · Cited by 774 · see citing works
McGill, G. G., Horstmann, M. A., Widlund, H. R., Du, J., Motyckova, G., Nishimura, E. K., Lin, Y., Ramaswamy, S., Avery, W., Ding, H., et al. (2002) · Cell · doi:10.1016/s0092-8674(02)00762-6 · Cited by 760 · see citing works
<i>In vivo</i> Switching of Human Melanoma Cells between Proliferative and Invasive States
Hoek, K. S., Eichhoff, O. M., Schlegel, N. C., Döbbeling, U., Kobert, N., Schaerer, L., Hemmi, S., & Dummer, R. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-2491 · Cited by 743 · see citing works
A module map showing conditional activity of expression modules in cancer
Segal, E., Friedman, N., Koller, D., & Regev, A. (2004) · Nature Genetics · doi:10.1038/ng1434 · Cited by 685 · see citing works
Pankiv, S., Alemu, E. A., Brech, A., Bruun, J., Lamark, T., Øvervatn, A., Bjørkøy, G., & Johansen, T. (2010) · The Journal of Cell Biology · doi:10.1083/jcb.200907015 · Cited by 659 · see citing works
Pratilas, C. A., Taylor, B. S., Ye, Q., Viale, A. J., Sander, C., Solit, D. B., & Rosen, N. X. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900780106 · Cited by 616 · see citing works
Vallabhapurapu, S., Matsuzawa, A., Zhang, W., Tseng, P., Keats, J. J., Wang, H., Vignali, D. A. A., Bergsagel, P. L., & Karin, M. (2008) · Nature Immunology · doi:10.1038/ni.1678 · Cited by 605 · see citing works
Hoek, K. S., Schlegel, N. C., Brafford, P. A., Sucker, A., Ugurel, S., Kumar, R., Weber, B. L., Nathanson, K. L., Phillips, D. J., Herlyn, M., et al. (2006) · Pigment Cell Research · doi:10.1111/j.1600-0749.2006.00322.x · Cited by 554 · see citing works
PTEN-deficient cancers depend on PIK3CB
Wee, S., Wiederschain, D., Maira, S.-M., Loo, A. T., Miller, C., deBeaumont, R. S., Stegmeier, F. P., Yao, Y.-M., & Christoph Lengauer, C. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0802655105 · Cited by 545 · see citing works
Malignant melanoma: genetics and therapeutics in the genomic eraPreprint
Chin, L., Garraway, L. A., & Fisher, D. E. (2006) · Genes & Development · doi:10.1101/gad.1437206 · Cited by 509 · see citing works
Fischer, T., Stone, R. M., DeAngelo, D. J., Galinsky, I., Estey, E., Lanza, C., Fox, E., Ehninger, G., Feldman, E. J., Schiller, G. J., et al. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2010.28.9678 · Cited by 504 · see citing works
KLF6 , a Candidate Tumor Suppressor Gene Mutated in Prostate Cancer
Narla, G., Heath, K. E., Reeves, H. L., Li, D., Giono, L. E., Kimmelman, A. C., Glucksman, M., Narla, J., Eng, F. J., Chan, A. M.-L., et al. (2001) · Science · doi:10.1126/science.1066326 · Cited by 442 · see citing works
Nielsen, M. S., Madsen, P., Christensen, E. I., Nykjær, A., Gliemann, J., Kasper, D., Pohlmann, R., & Petersen, C. M. (2001) · The EMBO Journal · doi:10.1093/emboj/20.9.2180 · Cited by 438 · see citing works
An Oncogenomics-Based In Vivo RNAi Screen Identifies Tumor Suppressors in Liver Cancer
Zender, L., Xue, W., Zuber, J. A., Semighini, C. P., Krasnitz, A., Ma, B., Zender, P., Kubicka, S., Luk, J. M., Schirmacher, P., et al. (2008) · Cell · doi:10.1016/j.cell.2008.09.061 · Cited by 425 · see citing works
Turner, N., Lambros, M., Horlings, H., Pearson, A., Sharpe, R., Natrajan, R., Geyer, F., van Kouwenhove, M., Kreike, B., Mackay, A., et al. (2010) · Oncogene · doi:10.1038/onc.2009.489 · Cited by 424 · see citing works
Raychaudhuri, S., Plenge, R. M., Rossin, E. J., Ng, A., Purcell, S., Sklar, P. B., Scolnick, E. M., Xavier, R. J., Altshuler, D., & Daly, M. J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000534 · Cited by 422 · see citing works
Goedert, M., Cuenda, A., Craxton, M., Jakes, R., & Cohen, P. (1997) · The EMBO Journal · doi:10.1093/emboj/16.12.3563 · Cited by 420 · see citing works
Du, J., Widlund, H. R., Horstmann, M. A., Ramaswamy, S., Ross, K. N., Huber, W. E., Nishimura, E. K., Golub, T. R., & Fisher, D. E. (2004) · Cancer Cell · doi:10.1016/j.ccr.2004.10.014 · Cited by 420 · see citing works
Beroukhim, R., Brunet, J.-P., Napoli, A. D., Mertz, K. D., Seeley, A., Pires, M. M., Linhart, D., Worrell, R., Moch, H., Rubin, M. A., et al. (2009) · Cancer Research · doi:10.1158/0008-5472.can-09-0146 · Cited by 413 · see citing works
The Cl-/H+ antiporter ClC-7 is the primary chloride permeation pathway in lysosomes
Graves, A. R., Curran, P. K., Smith, C. L., & Mindell, J. A. (2008) · Nature · doi:10.1038/nature06907 · Cited by 399 · see citing works
Yang, R., Lee, M., Hu, H., Pollin, T. I., Ryan, A. S., Nicklas, B. J., Snitker, S., Horenstein, R. B., Hull, K., Goldberg, N. H., et al. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030287 · Cited by 355 · see citing works
GOLPH3 modulates mTOR signalling and rapamycin sensitivity in cancer
Scott, K. L., Kabbarah, O., Liang, M., Ivanova, E. V., Anagnostou, V., Wu, J., Dhakal, S., Wu, M., Chen, S., Feinberg, T. Y., et al. (2009) · Nature · doi:10.1038/nature08109 · Cited by 350 · see citing works
Pielberg, G., Golovko, A., Sundström, E., Čurik, I., Lennartsson, J., Seltenhammer, M. H., Druml, T., Binns, M. M., Fitzsimmons, C., Lindgren, G., et al. (2008) · Nature Genetics · doi:10.1038/ng.185 · Cited by 330 · see citing works
Automated Network Analysis Identifies Core Pathways in Glioblastoma
Cerami, E. G., Demir, E., Schultz, N. D., Taylor, B. S., & Sander, C. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008918 · Cited by 329 · see citing works
Itoh, S., Kim, H. W., Nakagawa, O., Ozumi, K., Lessner, S. M., Aoki, H., Akram, K., McKinney, R. D., Ushio‐Fukai, M., & Fukai, T. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m709463200 · Cited by 317 · see citing works
Probabilistic models of indexing and searching
Robertson, S. E., van Rijsbergen, C. J., & Porter, M. (1980) · doi:10.5555/636669.636673 · Cited by 314 · see citing works
Modeling Genomic Diversity and Tumor Dependency in Malignant Melanoma
Lin, W. M., Baker, A. C., Beroukhim, R., Winckler, W., Feng, W., Marmion, J. M., Laine, E., Greulich, H. E., Tseng, H., Gates, C., et al. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-2615 · Cited by 295 · see citing works
Identification of Common Transcriptional Regulatory Elements in Interleukin-17 Target Genes
Shen, F., Hu, Z., Goswami, J., & Gaffen, S. L. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m604597200 · Cited by 294 · see citing works
Oncogenic BRAF Regulates Melanoma Proliferation through the Lineage Specific Factor MITF
Wellbrock, C., Rana, S., Paterson, H., Pickersgill, H., Brummelkamp, T. R., & Marais, R. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002734 · Cited by 276 · see citing works
Novel MITF targets identified using a two‐step DNA microarray strategy
Hoek, K. S., Schlegel, N. C., Eichhoff, O. M., Widmer, D. S., Praetorius, C., Einarsson, S. O., Valgeirsdóttir, S., Bergsteinsdóttir, K., Schepsky, A., Dummer, R., et al. (2008) · Pigment Cell & Melanoma Research · doi:10.1111/j.1755-148x.2008.00505.x · Cited by 262 · see citing works
GREB1 is a critical regulator of hormone dependent breast cancer growth
Rae, J. M., Johnson, M. D., Scheys, J. O., Cordero, K. E., Larios, J. M., & Lippman, M. E. (2005) · Breast Cancer Research and Treatment · doi:10.1007/s10549-005-1483-4 · Cited by 251 · see citing works
The metallochaperone Atox1 plays a critical role in perinatal copper homeostasis
Hamza, I., Faisst, A. M., Prohaska, J. R., Chen, J., Gruß, P., & Gitlin, J. D. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.111058498 · Cited by 246 · see citing works
Acquired copy number alterations in adult acute myeloid leukemia genomes
Walter, M. J., Payton, J. E., Ries, R. E., Shannon, W. D., Deshmukh, H., Zhao, Y., Baty, J., Heath, S. E., Westervelt, P., Watson, M. A., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903091106 · Cited by 246 · see citing works
Wang, K., Saito, M., Bisikirska, B. C., Alvarez, M. J., Lim, W. K., Rajbhandari, P., Shen, Q. “., Nemenman, I. M., Basso, K., Margolin, A. A., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1563 · Cited by 237 · see citing works
Genetic regulators of large-scale transcriptional signatures in cancer
Adler, A. S., Lin, M., Horlings, H. M., Nuyten, D. S. A., van de Vijver, M. J., & Chang, H. Y. (2006) · Nature Genetics · doi:10.1038/ng1752 · Cited by 231 · see citing works
Lipocalin 2 Is Required for Pulmonary Host Defense against Klebsiella Infection
Chan, Y. R., Liu, J. S., Pociask, D. A., Zheng, M., Mietzner, T. A., Berger, T., Mak, T. W., Clifton, M. C., Strong, R. K., Ray, P., et al. (2009) · The Journal of Immunology · doi:10.4049/jimmunol.0803282 · Cited by 220 · see citing works
Hanein, S., Martin, E., Boukhris, A., Byrne, P. C., Goizet, C., Hamri, A., Benomar, A., Lossos, A., Denora, P. S., Fernández, J. C. F., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.03.004 · Cited by 217 · see citing works
Genetic variants in pigmentation genes, pigmentary phenotypes, and risk of skin cancer in Caucasians
Nan, H., Kraft, P., Hunter, D. J., & Han, J. (2009) · International Journal of Cancer · doi:10.1002/ijc.24327 · Cited by 205 · see citing works
Essential role for Atox1 in the copper-mediated intracellular trafficking of the Menkes ATPase
Hamza, I., Prohaska, J., & Gitlin, J. D. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0336230100 · Cited by 203 · see citing works
Yoshida, H., Jono, H., Kai, H., & Li, J. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m509526200 · Cited by 199 · see citing works
Suzuki, T., Li, W., Zhang, Q. H., Karim, A., Novak, E. K., Sviderskaya, E. V., Hill, S. P., Bennett, D. C., Levin, A. V., Nieuwenhuis, H. K., et al. (2002) · Nature Genetics · doi:10.1038/ng835 · Cited by 187 · see citing works
Zhang, R., Xu, Y., Ekman, N., Wu, Z., Wu, J., Alitalo, K. K., & Wang, M. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m310678200 · Cited by 163 · see citing works
Bric, A., Miething, C., Bialucha, C. U., Scuoppo, C., Zender, L., Krasnitz, A., Xuan, Z., Zuber, J. A., Wigler, M. H., Hicks, J. B., et al. (2009) · Cancer Cell · doi:10.1016/j.ccr.2009.08.015 · Cited by 160 · see citing works
Itoh, T., Satoh, M., Kanno, E., & Fukuda, M. (2006) · Genes to Cells · doi:10.1111/j.1365-2443.2006.00997.x · Cited by 158 · see citing works
Li, Y., Li, L., Brown, T. J., & Heldin, P. (2007) · International Journal of Cancer · doi:10.1002/ijc.22550 · Cited by 158 · see citing works
Ueda, Y., & Richmond, A. (2006) · Pigment Cell Research · doi:10.1111/j.1600-0749.2006.00304.x · Cited by 148 · see citing works
Structural basis for recognition of acidic-cluster dileucine sequence by GGA1
Shiba, T., Takatsu, H., Nogi, T., Matsugaki, N., Kawasaki, M., Igarashi, N., Suzuki, M., Kato, R., Earnest, T. N., Nakayama, K., et al. (2002) · Nature · doi:10.1038/415937a · Cited by 143 · see citing works
Lee, S., Pe’er, D., Dudley, A. M., Church, G. M., & Koller, D. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601852103 · Cited by 132 · see citing works
Learning Module NetworksPreprint
Segal, E., Pe’er, D., Regev, A., Koller, D., & Friedman, N. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1212.2517 · Cited by 131 · see citing works
Nomiyama, T., Nakamachi, T., Gizard, F., Heywood, E. B., Jones, K. L., Ohkura, N., Kawamori, R., Conneely, O. M., & Bruemmer, D. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m603436200 · Cited by 127 · see citing works
Mig-6 controls EGFR trafficking and suppresses gliomagenesis
Ying, H., Zheng, H., Scott, K. L., Wiedemeyer, R., Yan, H., Lim, C., Huang, J. S., Dhakal, S., Ivanova, E. V., Xiao, Y., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914930107 · Cited by 127 · see citing works
Seye, C. I., Yu, N., JAIN, R. K., Kong, Q., Minor, T., Newton, J., Erb, L., González, F. A., & Weisman, G. A. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m301439200 · Cited by 122 · see citing works
Chiavérini, C., Beuret, L., Flori, E., Buscà, R., Abbe, P., Bille, K., Bahadoran, P., Ortonne, J. P., Bertolotto, C., & Ballotti, R. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m800130200 · Cited by 120 · see citing works
Satijn, D. P. E., Olson, D. J., van der Vlag, J., Hamer, K. M., Lambrechts, C., Masselink, H., Gunster, M. J., Sewalt, R. G. A. B., DRIEL, R. V., & Otte, A. P. (1997) · Molecular and Cellular Biology · doi:10.1128/mcb.17.10.6076 · Cited by 114 · see citing works
Taub, N., Teis, D., Ebner, H. L., Hess, M. W., & Huber, L. A. (2007) · Molecular Biology of the Cell · doi:10.1091/mbc.e07-02-0098 · Cited by 112 · see citing works
Dynek, J. N., Chan, S. M., Liu, J., Zha, J., Fairbrother, W. J., & Vucic, D. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-6622 · Cited by 109 · see citing works
Wang, J.-S., Wang, F.-B., Zhang, Q., Shen, Z., & Shao, Z. (2008) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-07-0162 · Cited by 109 · see citing works
Chiang, P. W., Oiso, N., Gautam, R., Suzuki, T., Swank, R. T., & Spritz, R. A. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m300090200 · Cited by 108 · see citing works
Hunziker, W., & Peters, P. J. (1998) · Journal of Biological Chemistry · doi:10.1074/jbc.273.25.15734 · Cited by 107 · see citing works
Knecht, W., Cottrell, G. S., Amadesi, S., Mohlin, J., Skåregärde, A., Gedda, K., Peterson, A., Chapman, K., Hollenberg, M. D., Vergnolle, N., et al. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m703840200 · Cited by 104 · see citing works
Rab7 and Rab27a control two motor protein activities involved in melanosomal transport
Jordens, I., Westbroek, W., Marsman, M., Rocha, N., Mommaas, M., Huizing, M., Lambert, J., Naeyaert, J. M., & Neefjes, J. (2006) · Pigment Cell Research · doi:10.1111/j.1600-0749.2006.00329.x · Cited by 98 · see citing works
Ludwig, R. J., Zollner, T. M., Santoso, S., Hardt, K., Gille, J., Baatz, H., Johann, P. S., Pfeffer, J., Radeke, H. H., Schön, M. P., et al. (2005) · Journal of Investigative Dermatology · doi:10.1111/j.0022-202x.2005.23912.x · Cited by 97 · see citing works
Piaggi, S., Raggi, C., Corti, A., Pitzalis, E., Mascherpa, M. C., Saviozzi, M., Alfonso Pompella, C., & Casini, A. (2010) · Carcinogenesis · doi:10.1093/carcin/bgq031 · Cited by 97 · see citing works
A genomic screen identifies TYRO3 as a MITF regulator in melanoma
Zhu, S., Wurdak, H., Wang, Y., Galkin, A., Tao, H., Li, J., Lyssiotis, C. A., Yan, F., Tu, B. P., Miraglia, L. J., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909292106 · Cited by 96 · see citing works
MC1R Variants Increase Risk of Melanomas Harboring BRAF Mutations
Fargnoli, M. C., Pike, K. M., Pfeiffer, R. M., Tsang, S. X., Rozenblum, E., Munroe, D. J., Golubeva, Y. G., Calista, D., Seidenari, S., Massi, D., et al. (2008) · Journal of Investigative Dermatology · doi:10.1038/jid.2008.67 · Cited by 95 · see citing works
GREB1 is a novel androgen‐regulated gene required for prostate cancer growth
Rae, J. M., Johnson, M. D., Cordero, K. E., Scheys, J. O., Larios, J. M., Gottardis, M. M., Pienta, K. J., & Lippman, M. E. (2006) · The Prostate · doi:10.1002/pros.20403 · Cited by 87 · see citing works
Revised Nomenclature for Mammalian Vacuolar-Type H+-ATPase Subunit Genes
Smith, A. N., Lovering, R. C., Futai, M., Takeda, J., Brown, D., & Karet, F. E. (2003) · Molecular Cell · doi:10.1016/s1097-2765(03)00397-6 · Cited by 86 · see citing works
Scott, G., McClelland, L. A., Fricke, A. F., & Fender, A. B. (2008) · Journal of Investigative Dermatology · doi:10.1038/jid.2008.329 · Cited by 84 · see citing works
Confirmation of a BRAF mutation‐associated gene expression signature in melanoma
Johansson, P. A., Pavey, S. J., & Hayward, N. K. (2007) · Pigment Cell Research · doi:10.1111/j.1600-0749.2007.00375.x · Cited by 84 · see citing works
Knebel, A., Haydon, C. E., MORRICE, N. A., & Cohen, P. (2002) · Biochemical Journal · doi:10.1042/bj20020916 · Cited by 80 · see citing works
Analysis of a Truncated Form of Cathepsin H in Human Prostate Tumor Cells
Waghray, A., Keppler, D., Sloane, B. F., Schuger, L. A., & Chen, Y. Q. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m109557200 · Cited by 74 · see citing works
Vetrini, F., Auricchio, A., Du, J., Angeletti, B., Fisher, D. E., Ballabio, A., & Marigo, V. (2004) · Molecular and Cellular Biology · doi:10.1128/mcb.24.15.6550-6559.2004 · Cited by 74 · see citing works
Palmer, C. D., Mutch, B. E., Workman, S., McDaid, J., Horwood, N. J., & Foxwell, B. M. J. (2007) · Blood · doi:10.1182/blood-2007-07-102343 · Cited by 73 · see citing works
Novel Role for RGS1 in Melanoma Progression
Rangel, J., Nosrati, M., Leong, S. P. L., Haqq, C., Miller, J. R., Sagebiel, R. W., & Kashani–Sabet, M. (2008) · The American Journal of Surgical Pathology · doi:10.1097/pas.0b013e31816fd53c · Cited by 72 · see citing works
Identification of Survival Genes in Human Glioblastoma Cells by Small Interfering RNA Screening
Thaker, N. G., Zhang, F., McDonald, P. R., Shun, T. Y., Lewen, M. D., Pollack, I. F., & Lazo, J. S. (2009) · Molecular Pharmacology · doi:10.1124/mol.109.058024 · Cited by 71 · see citing works
The MICAL proteins and rab1: a possible link to the cytoskeleton?
Fischer, J., Weide, T., & Barnekow, A. (2005) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2004.12.182 · Cited by 67 · see citing works
Zou, L., Zhou, J., Zhang, J., Li, J., Liu, N., Chai, L., Li, N., Liu, T., Li, L., Xie, Z., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905684106 · Cited by 64 · see citing works
CK2 phosphorylation of eukaryotic translation initiation factor 5 potentiates cell cycle progression
Homma, M. K., Wada, I., Suzuki, T., Yamaki, J., Krebs, E. G., & Homma, Y. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506791102 · Cited by 64 · see citing works
Comparative evolutionary analysis of VPS33 homologues: genetic and functional insights
Gissen, P., Johnson, C. A., Gentle, D., Hurst, L. D., Doherty, A. J., O’Kane, C. J., Kelly, D. A., & Maher, E. R. (2005) · Human Molecular Genetics · doi:10.1093/hmg/ddi137 · Cited by 61 · see citing works
Bellanger, S., Gramont, A. D. E., & Sobczak‐Thépot, J. (2007) · Oncogene · doi:10.1038/sj.onc.1210539 · Cited by 56 · see citing works
Wang, L., Cao, X., Chen, Q., Zhu, T., Zhu, H., & Li, Z. (2009) · Cancer Science · doi:10.1111/j.1349-7006.2009.01246.x · Cited by 53 · see citing works
Munc18-Syntaxin Complexes and Exocytosis in Human Platelets
Houng, A. K., Polgár, J., & Reed, G. L. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m212465200 · Cited by 52 · see citing works
Schallreuter, K. U., Rübsam, K., Chavan, B., Zothner, C., Gillbro, J. M., Spencer, J. D., & Wood, J. M. (2006) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2006.01.124 · Cited by 49 · see citing works
JISTIC: Identification of Significant Targets in Cancer
Sanchez-Garcia, F., Akavia, U. D., Mozes, E., & Pe’er, D. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-189 · Cited by 48 · see citing works
Simplet controls cell proliferation and gene transcription during zebrafish caudal fin regeneration
Kızıl, Ç., Otto, G., Geisler, R., Nüsslein‐Volhard, C., & Antos, C. L. (2008) · Developmental Biology · doi:10.1016/j.ydbio.2008.09.032 · Cited by 47 · see citing works
γ‐BAR, a novel AP‐1‐interacting protein involved in post‐Golgi trafficking
Neubrand, V. E., Will, R. D., Möbius, W., Poustka, A., Wiemann, S., Schu, P. V., Dotti, C. G., Pepperkok, R., & Simpson, J. C. (2005) · The EMBO Journal · doi:10.1038/sj.emboj.7600600 · Cited by 46 · see citing works
GTP-dependent Secretion from Neutrophils Is Regulated by Cdk5
Rosales, J. L., Ernst, J., Hallows, J. L., & Lee, K. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m408467200 · Cited by 45 · see citing works
Nomura, T., Huang, W., Seo, S., Zhau, H. E., Mimata, H., & Chung, L. W. K. (2007) · The Journal of Urology · doi:10.1016/j.juro.2007.03.007 · Cited by 44 · see citing works
RING-dependent tumor suppression and G2/M arrest induced by the TRC8 hereditary kidney cancer gene
Brauweiler, A. M., Lorick, K. L., Lee, J. P., Tsai, Y. C., Chan, D., Weissman, A. M., Drabkin, H. A., & Gemmill, R. M. (2006) · Oncogene · doi:10.1038/sj.onc.1210017 · Cited by 41 · see citing works
Miccoli, L., Frouin, I., Novac, O., Paola, D. D., Harper, F., Zannis‐Hadjopoulos, M., Maga, G., Biard, D. S. F., & Angulo, J. F. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.9.3814-3830.2005 · Cited by 35 · see citing works
Protein phosphatase 1H, overexpressed in colon adenocarcinoma, is associated with CSE1L
Sugiura, T., Noguchi, Y., Sakurai, K., & Hattori, C. (2008) · Cancer Biology & Therapy · doi:10.4161/cbt.7.2.5302 · Cited by 30 · see citing works
Characterisation of the human APC1 , the largest subunit of the anaphase-promoting complex
Jørgensen, P., Gräslund, S., Betz, R. C., Ståhl, S., Larsson, C., & Höög, C. (2001) · Gene · doi:10.1016/s0378-1119(00)00511-4 · Cited by 29 · see citing works
Appel, S., Bringmann, A., Grünebach, F., Weck, M., Bauer, J., & Brossart, P. (2006) · Blood · doi:10.1182/blood-2005-06-2480 · Cited by 28 · see citing works
Endo, R., Saito, T., Asada, A., Kawahara, H., Ohshima, T., & Hisanaga, S. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.026443 · Cited by 27 · see citing works
Short-hairpin RNA-mediated stable silencing of Grb2 impairs cell growth and DNA synthesis
Fulvio, M. D., Henkels, K. M., & Gómez-Cambronero, J. (2007) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2007.04.013 · Cited by 18 · see citing works
KLF6 Gene and Early Melanoma Development in a Collagen I-Rich Extracellular Environment
Huh, S. J., Chen, Y.-L., Friedman, S. L., Liao, J., Huang, H., Cavenee, W. K., & Robertson, G. P. (2010) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djq218 · Cited by 16 · see citing works
Weidle, U. H., Evtimova, V., Alberti, S., Guerra, E., Fersis, N., & Kaul, S. (2009) · PubMed · Cited by 15 · see citing works
CDK5 activator p35 downregulates E‐cadherin precursor independently of CDK5
Lin, S., Wang, J., Ye, Z., Ip, N. Y., & Lin, S. (2008) · FEBS Letters · doi:10.1016/j.febslet.2008.02.053 · Cited by 12 · see citing works
Human bladder cancer, schistosomiasis, N‐nitroso compounds and their precursors
Abdel-Mohsen, M. A., Hassan, A. A., El‐Sewedy, S. M., Aboul-Azm, T., Magagnotti, C., Fanelli, R., & Airoldi, L. (2000) · International Journal of Cancer · doi:10.1002/1097-0215(20001115)88:4 · Cited by 11 · see citing works
New mutations identified in the ocular albinism type 1 gene
Roma, C., Ferrante, P., Guardiola, O., Ballabio, A., & Zollo, M. (2007) · Gene · doi:10.1016/j.gene.2007.07.020 · Cited by 5 · see citing works
Flagged first, then by citations
1 of the 129 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Melanoma exosomes educate bone marrow progenitor cells toward a pro-metastatic phenotype through MET
Peinado, H., Alečković, M., Lavotshkin, S., Matei, I., Costa-Silva, B., Moreno-Bueno, G., Hergueta-Redondo, M., Williams, C., García-Santos, G., Ghajar, C. M., et al. (2012) · Nature Medicine · doi:10.1038/nm.2753 · Cited by 3,715 · see citing works
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis
Levine, J. H., Simonds, E. F., Bendall, S. C., Davis, K. L., Amir, E.-A. D., Tadmor, M. D., Litvin, O., Fienberg, H. G., Jager, A., Zunder, E. R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.047 · Cited by 2,303 · see citing works
Multi-Omics Factor Analysis—a framework for unsupervised integration of multi-omics data sets
Argelaguet, R., Velten, B., Arnol, D., Dietrich, S., Zenz, T., Marioni, J. C., Buettner, F., Huber, W., & Stegle, O. (2018) · Molecular Systems Biology · doi:10.15252/msb.20178124 · Cited by 1,510 · see citing works
Methods of integrating data to uncover genotype-phenotype interactions
Ritchie, M. D., Holzinger, E. R., Li, R., Pendergrass, S. A., & Kim, D. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3868 · Cited by 1,085 · see citing works
Next-Generation Machine Learning for Biological Networks
Camacho, D. M., Collins, K. M., Powers, R. K., Costello, J. C., & Collins, J. J. (2018) · Cell · doi:10.1016/j.cell.2018.05.015 · Cited by 974 · see citing works
Using machine learning approaches for multi-omics data analysis: A review
Reel, P. S., Reel, S., Pearson, E., Trucco, E., & Jefferson, E. (2021) · Biotechnology Advances · doi:10.1016/j.biotechadv.2021.107739 · Cited by 903 · see citing works
More Is Better: Recent Progress in Multi-Omics Data Integration Methods
Huang, S., Chaudhary, K., & Garmire, L. (2017) · Frontiers in Genetics · doi:10.3389/fgene.2017.00084 · Cited by 637 · see citing works
Integrated omics: tools, advances and future approaches
Misra, B. B., Langefeld, C., Olivier, M., & Cox, L. A. (2019) · Journal of Molecular Endocrinology · doi:10.1530/jme-18-0055 · Cited by 686 · see citing works
Integrative genomic analyses reveal clinically relevant long noncoding RNAs in human cancer
Du, Z., Fei, T., Verhaak, R. G. W., Su, Z., Zhang, Y., Brown, M. A., Chen, Y., & Liu, X. S. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2591 · Cited by 536 · see citing works
Methods for the integration of multi-omics data: mathematical aspects
Bersanelli, M., Mosca, E., Remondini, D., Giampieri, E., Sala, C., Castellani, G., & Milanesi, L. (2016) · BMC Bioinformatics · doi:10.1186/s12859-015-0857-9 · Cited by 449 · see citing works
Advances in sarcoma genomics and new therapeutic targets
Taylor, B. S., Barretina, J. G., Maki, R. G., Antonescu, C. R., Singer, S., & Ladanyi, M. (2011) · Nature reviews. Cancer · doi:10.1038/nrc3087 · Cited by 428 · see citing works
Chromosomal duplication is a transient evolutionary solution to stress
Yona, A. H., Manor, Y. S., Herbst, R. H., Romano, G. H., Mitchell, A., Kupiec, M., Pilpel, Y., & Dahan, O. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211150109 · Cited by 376 · see citing works
Principles and methods of integrative genomic analyses in cancer
Kristensen, V. N., Lingjærde, O. C., Russnes, H. G., Vollan, H. K. M., Frigessi, A., & Børresen‐Dale, A. (2014) · Nature reviews. Cancer · doi:10.1038/nrc3721 · Cited by 368 · see citing works
Driver and Passenger Mutations in Cancer
Pon, J. R., & Marra, M. A. (2014) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathol-012414-040312 · Cited by 356 · see citing works
Soto, A. M., & Sonnenschein, C. (2011) · BioEssays · doi:10.1002/bies.201100025 · Cited by 353 · see citing works
Computational solutions for omics data
Berger, B., Peng, J., & Singh, M. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3433 · Cited by 341 · see citing works
Pathway and network analysis of cancer genomes
Creixell, P., Linding, R., Reimand, J., Bader, G. D., Haider, S., Wu, G., Ouellette, B. F. F., Boutros, P. C., Stein, L. D., Shibata, T., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3440 · Cited by 326 · see citing works
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia
Lee, S., Çelik, S., Logsdon, B. A., Lundberg, S., Martins, T. J., Oehler, V. G., Estey, E. H., Miller, C. P., Chien, S. S., Dai, J., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-02465-5 · Cited by 332 · see citing works
Aytés, 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
Imaging mass cytometry and multiplatform genomics define the phenogenomic landscape of breast cancer
Ali, H. R., Jackson, H. W., Zanotelli, V. R., Danenberg, E., Fischer, J. R., Bardwell, H. A., Provenzano, E., CRUK IMAXT Grand Challenge Team, Ali, H. R., Sa’d, M. A., et al. (2020) · Nature Cancer · doi:10.1038/s43018-020-0026-6 · Cited by 304 · see citing works
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer
Bashashati, A., Haffari, G., Ding, J., Ha, G., Lui, K., Rosner, J., Huntsman, D. D., Caldas, C., Aparicio, S. A. J. R., & Shah, S. P. (2012) · Genome biology · doi:10.1186/gb-2012-13-12-r124 · Cited by 298 · see citing works
Prospects and challenges of multi-omics data integration in toxicology
Canzler, S., Schor, J., Busch, W., Schubert, K. A., Rolle-Kampczyk, U. E., Seitz, H., Kamp, H., von Bergen�, M., Buesen, R., & Hackermüller, J. (2020) · Archives of Toxicology · doi:10.1007/s00204-020-02656-y · Cited by 291 · see citing works
Transcriptome Profiling in Human Diseases: New Advances and Perspectives
Casamassimi, A., Federico, A., Rienzo, M., Esposito, S., & Ciccodicola, A. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18081652 · Cited by 288 · see citing works
Chen, P., Fan, Y., Man, T., Hung, Y., Lau, C. C., & Wong, S. T. C. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-s18-s1 · Cited by 288 · see citing works
Akkermansia muciniphila mediates negative effects of IFNγ on glucose metabolism
Greer, R. L., Dong, X., de Moraes, A. C. F., Zielke, R. A., Fernandes, G. D. R., Peremyslova, E., Vasquez‐Perez, S., Schoenborn, A. A., Gomes, E. P., Pereira, A. C., et al. (2016) · Nature Communications · doi:10.1038/ncomms13329 · Cited by 277 · see citing works
DawnRank: discovering personalized driver genes in cancer
Hou, J. P., & Ma, J. (2014) · Genome Medicine · doi:10.1186/s13073-014-0056-8 · Cited by 268 · see citing works
Senescent cells develop a parp-1 and nuclear factor-κB-associated secretome (PNAS).
Ohanna, M., Giuliano, S., Bonet, C., Imbert, V., Hofman, V., Zangari, J., Bille, K., Robert, C., Bressac-de Paillerets, B., Hofman, P., et al. (2011) · Genes & Development · doi:10.1101/gad.625811 · Cited by 267 · see citing works
Leveraging models of cell regulation and GWAS data in integrative network-based association studies
Califano, A., Butte, A. J., Friend, S. H., Ideker, T., & Schadt, E. E. (2012) · Nature Genetics · doi:10.1038/ng.2355 · Cited by 257 · see citing works
Rab27 Effectors, Pleiotropic Regulators in Secretory Pathways
Fukuda, M. (2013) · Traffic · doi:10.1111/tra.12083 · Cited by 235 · see citing works
Budhu, A., Roessler, S. K., Zhao, X., Yu, Z., Forgues, M., Ji, J., Karoly, E. D., Qin, L., Ye, Q., Jia, H., et al. (2013) · Gastroenterology · doi:10.1053/j.gastro.2013.01.054 · Cited by 238 · see citing works
The 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
Computational Medicine: Translating Models to Clinical Care
Winslow, R. L., Trayanova, N. A., Geman, D., & Miller, M. I. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003528 · Cited by 202 · see citing works
Thousands of Rab GTPases for the Cell Biologist
Diekmann, Y., Seixas, E., Gouw, M., Tavares-Cadete, F., Seabra, M. C., & Pereira‐Leal, J. B. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002217 · Cited by 189 · see citing works
Machine learning and systems genomics approaches for multi-omics data
Lin, E., & Lane, H. (2017) · Biomarker Research · doi:10.1186/s40364-017-0082-y · Cited by 192 · see citing works
Illuminating the functional and structural repertoire of human TBC/RABGAPs
Frasa, M. A. M., Koessmeier, K. T., Ahmadian, M. R., & Braga, V. M. M. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3267 · Cited by 182 · see citing works
Ghaemi, M. S., DiGiulio, D. B., Contrepois, K., Callahan, B. J., Ngo, T. T. M., Lee‐McMullen, B., Lehallier, B., Robaczewska, A., McIlwain, D. R., Rosenberg‐Hasson, Y., et al. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty537 · Cited by 181 · see citing works
Evolution of the cancer genome
Podlaha, O., Riester, M., De, S., & Michor, F. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.01.003 · Cited by 188 · see citing works
Cheng, Q., Chang, J. T., Geradts, J., Neckers, L. Μ., Haystead, T., Spector, N. L., & Lyerly, H. K. (2012) · Breast Cancer Research · doi:10.1186/bcr3168 · Cited by 185 · see citing works
Principles and Strategies for Developing Network Models in Cancer
Pe’er, D., & Hacohen, N. (2011) · Cell · doi:10.1016/j.cell.2011.03.001 · Cited by 182 · see citing works
Extracellular Vesicles in Fatty Liver Promote a Metastatic Tumor Microenvironment
Wang, Z.-J., Kim, S. Y., Tu, W., Kim, J., Xu, A. M., Yang, Y. M., Matsuda, M., Reolizo, L., Tsuchiya, T., Billet, S., et al. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.04.013 · Cited by 181 · see citing works
Microbiome Multi-Omics Network Analysis: Statistical Considerations, Limitations, and Opportunities
Jiang, D., Armour, C. R., Hu, C., Meng, M., Tian, C., Sharpton, T. J., & Jiang, Y. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00995 · Cited by 164 · see citing works
Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review
Vahabi, N., & Michailidis, G. C. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.854752 · Cited by 159 · see citing works
Efficient methods for identifying mutated driver pathways in cancer
Zhao, J., Zhang, S., Wu, L., & Zhang, X.-S. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts564 · Cited by 155 · see citing works
Functional genomic analysis of chromosomal aberrations in a compendium of 8000 cancer genomesPreprint
Kim, T., Xi, R., Luquette, L. J., Park, R. W., Johnson, M. D., & Park, P. J. (2012) · Genome Research · doi:10.1101/gr.140301.112 · Cited by 150 · see citing works
Bertrand, D., Chng, K. R., Sherbaf, F. G., Kiesel, A., Chia, B. K. H., Sia, Y. Y., Huang, S. K., Hoon, D. S. �., Liu, E. T., Hillmer, A. M., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1393 · Cited by 149 · see citing works
Cheng, F., Zhao, J., & Zhao, Z. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv068 · Cited by 148 · see citing works
Enhanced construction of gene regulatory networks using hub gene information
Yu, D., Lim, J., Wang, X., Liang, F., & Xiao, G. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1576-1 · Cited by 139 · see citing works
Genetic and epigenetic loss of microRNA-31 leads to feed-forward expression of EZH2 in melanoma
Asangani, I. A., Harms, P. W., Dodson, L. M., Pandhi, M. B., Kunju, L. P., Maher, C. A., Fullen, D. R., Johnson, T. M., Giordano, T. J., Palanisamy, N., et al. (2012) · Oncotarget · doi:10.18632/oncotarget.622 · Cited by 134 · see citing works
Handley, M. T., Morris-Rosendahl, D. J., Brown, S. D. M., MacDonald, F., Hardy, C., Bem, D., Carpanini, S. M., Borck, G., Martorell, L., Izzi, C., et al. (2013) · Human Mutation · doi:10.1002/humu.22296 · Cited by 132 · see citing works
Bioinformatics in translational drug discovery
Wooller, S. K., Benstead-Hume, G., Chen, X., Ali, Y., & Pearl, F. M. G. (2017) · Bioscience Reports · doi:10.1042/bsr20160180 · Cited by 134 · see citing works
Small cell lung cancer (SCLC): no treatment advances in recent years.
Koinis, F., Kotsakis, A. P., & Georgoulias, V. (2016) · Europe PMC (PubMed Central) · doi:10.3978/j.issn.2218-6751.2016.01.03 · Cited by 131 · see citing works
Nussinov, R., Jang, H., Tsai, C., & Cheng, F. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006658 · Cited by 129 · see citing works
Tang, H., Sebti, S., Titone, R., Zhou, Y., Isidoro, C., Ross, T. S., Hibshoosh, H. H., Xiao, G., Packer, M., Xie, Y., et al. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.01.008 · Cited by 129 · see citing works
Next generation sequencing in cancer research and clinical application
Shyr, D., & Liu, Q. (2013) · Biological Procedures Online · doi:10.1186/1480-9222-15-4 · Cited by 127 · see citing works
Wu, C., Zhu, J., & Zhang, X. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-182 · Cited by 122 · see citing works
Vizoso, M., Ferreira, H. J., López-Serra, P., Carmona, F. J., Martínez‐Cardús, A., Girotti, M. R., Villanueva, A., Guil, S., Moutinho, C., Liz, J., et al. (2015) · Nature Medicine · doi:10.1038/nm.3863 · Cited by 121 · see citing works
Goodwin, J. M., Svensson, R. U., Lou, H. J., Winslow, M. M., Turk, B. E., & Shaw, R. J. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.06.021 · Cited by 119 · see citing works
Rambow, F., Job, B., Petit, V., Gesbert, F., Delmas, V., Seberg, H., Meurice, G., Otterloo, E. V., Dessen, P., Robert, C., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.09.037 · Cited by 118 · see citing works
Tunçbağ, N., Braunstein, A., Pagnani, A., Huang, S. C., Chayes, J., Borgs, C., Zecchina, R., & Fraenkel, E. (2013) · Journal of Computational Biology · doi:10.1089/cmb.2012.0092 · Cited by 114 · see citing works
Therapeutic Effects of MicroRNA-582-5p and -3p on the Inhibition of Bladder Cancer Progression
Uchino, K., Takeshita, F., Takahashi, R., Kosaka, N., Fujiwara, K., Naruoka, H., Sonoke, S., Yano, J., Sasaki, H., Nozawa, S., et al. (2013) · Molecular Therapy · doi:10.1038/mt.2012.269 · Cited by 113 · see citing works
O’Donnell, S. T., Ross, R. P., & Stanton, C. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.03084 · Cited by 115 · see citing works
Alonso‐Curbelo, D., Riveiro‐Falkenbach, E., Pérez‐Guijarro, E., Cifdaloz, M., Karras, P., Osterloh, L., Megı́as, D., Cañón, E., Calvo, T. G., Olmeda, D., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.04.030 · Cited by 110 · see citing works
Systematic analysis of somatic mutations impacting gene expression in 12 tumour types
Ding, J., McConechy, M. K., Horlings, H. M., Ha, G., Chan, F. C., Funnell, T., Mullaly, S. C., Reimand, J., Bashashati, A., Bader, G. D., et al. (2015) · Nature Communications · doi:10.1038/ncomms9554 · Cited by 104 · see citing works
RAB27A promotes melanoma cell invasion and metastasis via regulation of pro‐invasive exosomes
Guo, D., Lui, G. Y. L., Lai, S. L., Wilmott, J. S., Tikoo, S., Jackett, L. A., Quek, C. Y. J., Brown, D. L., Sharp, D. M., Kwan, R. Y. Q., et al. (2018) · International Journal of Cancer · doi:10.1002/ijc.32064 · Cited by 107 · see citing works
OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics data
Zhou, G., Ewald, J., & Xia, J. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab394 · Cited by 102 · see citing works
Statistical Methods in Integrative Genomics
Richardson, S. T., Tseng, G. C., & Sun, W. (2016) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-041715-033506 · Cited by 97 · see citing works
Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine
Li, Y., Ma, L., Wu, D., & Chen, G. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab024 · Cited by 101 · see citing works
Understanding genomic alterations in cancer genomes using an integrative network approach
Wang, E. (2012) · Cancer Letters · doi:10.1016/j.canlet.2012.11.050 · Cited by 100 · see citing works
Reshaping the Future of Nanopharmaceuticals: Ad Iudicium
Moghimi, S. M., Peer, D., & Langer, R. (2011) · ACS Nano · doi:10.1021/nn2038252 · Cited by 99 · see citing works
Integrative multi-omics module network inference with lemon-tree
Bonnet, E., Calzone, L., & Michoel, T. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003983 · Cited by 98 · see citing works
Integration of Genomic Data Enables Selective Discovery of Breast Cancer Drivers
Sanchez-Garcia, F., Villagrasa, P., Matsui, J., Kotliar, D., Castro, V., Akavia, U.-D., Chen, B.-J., Saucedo-Cuevas, L. P., Barrueco, R. R., Llobet‐Navàs, D., et al. (2014) · Cell · doi:10.1016/j.cell.2014.10.048 · Cited by 92 · see citing works
Fredlund, E., Staaf, J., Rantala, J., Kallioniemi, O., Borg, Å., & Ringnér, M. (2012) · Breast Cancer Research · doi:10.1186/bcr3236 · Cited by 93 · see citing works
Visualizing multidimensional cancer genomics data
Schroeder, M. P., González-Pérez, A., & López-Bigas, N. (2013) · Genome Medicine · doi:10.1186/gm413 · Cited by 94 · see citing works
Inferring transcriptional and microRNA‐mediated regulatory programs in glioblastoma
Setty, M. N., Helmy, K. Y., Khan, A. A., Silber, J., Arvey, A. J., Neezen, F., Agius, P., Huse, J. T., Holland, E. C., & Leslie, C. S. (2012) · Molecular Systems Biology · doi:10.1038/msb.2012.37 · Cited by 91 · see citing works
Uncover disease genes by maximizing information flow in the phenome–interactome network
Chen, Y., Jiang, T., & Jiang, R. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr213 · Cited by 91 · see citing works
The Emerging Potential for Network Analysis to Inform Precision Cancer Medicine
Öztürk, K., Dow, M. T., Carlin, D. E., Bejar, R. L., & Carter, H. K. (2018) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.06.016 · Cited by 90 · see citing works
Network modeling of the transcriptional effects of copy number aberrations in glioblastoma
Jörnsten, R. J., Abenius, T., Kling, T., Schmidt, L., Johansson, E., Nordling, T. E. M., Nordlander, B., Sander, C., Gennemark, P., Funa, K., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.17 · Cited by 89 · see citing works
From cancer genomes to oncogenic drivers, tumour dependencies and therapeutic targets
Eifert, C., & Powers, S. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3299 · Cited by 86 · see citing works
Bayesian joint analysis of heterogeneous genomics data
Ray, P., Zheng, L., Lucas, J., & Carin, L. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu064 · Cited by 84 · see citing works
Computational approaches for the identification of cancer genes and pathways
Dimitrakopoulos, C. M., & Beerenwinkel, N. (2016) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1364 · Cited by 85 · see citing works
Merid, S. K., Goranskaya, D., & Alexeyenko, A. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-308 · Cited by 83 · see citing works
Functional implications of Rab27 GTPases in Cancer
Li, Z., Fang, R., Fang, J. S., He, S., & Liu, T. (2018) · Cell Communication and Signaling · doi:10.1186/s12964-018-0255-9 · Cited by 81 · see citing works
Integrative Analysis of 1q23.3 Copy-Number Gain in Metastatic Urothelial Carcinoma
Riester, M., Werner, L. L., Joaquim Bellmunt, B., Selvarajah, S., Guancial, E. A., Weir, B. A., Stack, E. C., Park, R. S., O'Brien, R., Schutz, F. A. B., et al. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-0759 · Cited by 82 · see citing works
Integrative clustering methods of multi‐omics data for molecule‐based cancer classifications
Wang, D., & Gu, J. (2016) · Quantitative Biology · doi:10.1007/s40484-016-0063-4 · Cited by 81 · see citing works
Mine, K. L., Shulzhenko, N., Yambartsev, A., Rochman, M., Sanson, G. F. O., Lando, M., Varma, S., Skinner, J., Volfovsky, N., Deng, T., et al. (2013) · Nature Communications · doi:10.1038/ncomms2693 · Cited by 79 · see citing works
Novel functions for Rab GTPases in multiple aspects of tumour progression
Recchi, C., & Seabra, M. C. (2012) · Biochemical Society Transactions · doi:10.1042/bst20120199 · Cited by 79 · see citing works
Lan, A., Smoly, I. Y., Rapaport, G., Lindquist, S., Fraenkel, E., & Yeger‐Lotem, E. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr359 · Cited by 79 · see citing works
Redox Systems Biology: Harnessing the Sentinels of the Cysteine Redoxome
Held, J. M. (2019) · Antioxidants and Redox Signaling · doi:10.1089/ars.2019.7725 · Cited by 73 · see citing works
HIT'nDRIVE: patient-specific multidriver gene prioritization for precision oncologyPreprint
Shrestha, R., Hodzic, E., Sauerwald, T., Dao, P., Wang, K., Yeung, J., Anderson, S. A., Vandin, F., Haffari, G., Collins, C. C., et al. (2017) · Genome Research · doi:10.1101/gr.221218.117 · Cited by 77 · see citing works
Fouret, R., Laffaire, J., Hofman, P. M., Beau‐Faller, M., Mazières, J., Validire, P., Girard, P., Camilleri‐Broët, S., Vaylet, F., Leroy-Ladurie, F., et al. (2012) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-0505 · Cited by 75 · see citing works
A protein network map of head and neck cancer reveals PIK3CA mutant drug sensitivity
Swaney, D. L., Ramms, D. J., Wang, Z., Park, J., Goto, Y., Soucheray, M., Bhola, N. E., Kim, K., Zheng, F., Zeng, Y., et al. (2021) · Science · doi:10.1126/science.abf2911 · Cited by 71 · see citing works
Expression quantitative trait locus analysis for translational medicine
Gibson, G. C., Powell, J. E., & Marigorta, U. M. (2015) · Genome Medicine · doi:10.1186/s13073-015-0186-7 · Cited by 74 · see citing works
Endesfelder, D., Burrell, R. A., Kanu, N., McGranahan, N., Howell, M., Parker, P. J., Downward, J., Swanton, C., & Kschischo, M. (2014) · Cancer Research · doi:10.1158/0008-5472.can-13-2664 · Cited by 74 · see citing works
Established and novel methods of interrogating two-dimensional cell migration
Ashby, W. J., & Zijlstra, A. (2012) · Integrative Biology · doi:10.1039/c2ib20154b · Cited by 73 · see citing works
Network biomarkers reveal dysfunctional gene regulations during disease progression
Zeng, T., Sun, S., Wang, Y., Zhu, H., & Chen, L. (2013) · FEBS Journal · doi:10.1111/febs.12536 · Cited by 72 · see citing works
Tunçbağ, N., McCallum, S., Huang, S. C., & Fraenkel, E. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks445 · Cited by 72 · see citing works
Li, H., Han, Z., Sun, Y., Wang, F., Hu, P., Gao, Y., Bai, X., Peng, S., Ren, C., Xu, X., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50426-6 · Cited by 72 · see citing works
Iranmanesh, S. M., & Guo, N. L. (2014) · Cancer Informatics · doi:10.4137/cin.s14055 · Cited by 69 · see citing works
Pérez‐Guijarro, E., Karras, P., Cifdaloz, M., Martínez-Herranz, R., Cañón, E., Graña‐Castro, O., Horcajada‐Reales, C., Alonso‐Curbelo, D., Calvo, T. G., Goméz-López, G., et al. (2016) · Nature Communications · doi:10.1038/ncomms13418 · Cited by 67 · see citing works
Inferring causal genomic alterations in breast cancer using gene expression data
Tran, L. M., Zhang, B., Zhang, Z., Zhang, C., Xie, T., Lamb, J. R., Dai, H. A., Schadt, E. E., & Zhu, J. (2011) · BMC Systems Biology · doi:10.1186/1752-0509-5-121 · Cited by 66 · see citing works
- Authors
- Akavia, U. D., Litvin, O., Kim, J., Sanchez-Garcia, F., Kotliar, D., Causton, H. C., Pochanard, P., Mozes, E., Garraway, L. A., & Pe'er, D.
- Affiliations
- Columbia University (US)
- Broad Institute (US)
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 143
- Issue
- 6
- Pages
- 1005-1017
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC3013278
- OpenAlex
- W1968667083
- Cited by
- 484
- References
- 129
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 14 · 2023: 21 · 2022: 18 · 2021: 17 · 2020: 30 · 2019: 28 · 2018: 24 · 2017: 33 · 2016: 42 · 2015: 51 · 2014: 47 · 2013: 60 · 2012: 56
- FWCI
- 14.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Burroughs Wellcome Fund
- National Institutes of Health (DP2OD002414)
- National Cancer Institute (U54CA121852)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- cancer driver genes, melanoma, chromosomal copy number alterations, gene expression, tumor dependency, Rab27a, protein trafficking, tumor progression, therapeutic target
- MeSH terms
- rab27 GTP-Binding Proteins, Bayes Theorem, Humans, Melanoma, GTPase-Activating Proteins, rab GTP-Binding Proteins, Gene Expression Profiling, Protein Transport, Microphthalmia-Associated Transcription Factor
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