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Lung metastasis genes couple breast tumor size and metastatic spread
Open accessAbstract
The association between large tumor size and metastatic risk in a majority of clinical cancers has led to questions as to whether these observations are causally related or whether one is simply a marker for the other. This is partly due to an uncertainty about how metastasis-promoting gene expression changes can arise in primary tumors. We investigated this question through the analysis of a previously defined “lung metastasis gene-expression signature” (LMS) that mediates experimental breast cancer metastasis selectively to the lung and is expressed by primary human breast cancer with a high risk for developing lung metastasis. Experimentally, we demonstrate that the LMS promotes primary tumor growth that enriches for LMS + cells, and it allows for intravasation after reaching a critical tumor size. Clinically, this corresponds to LMS + tumors being larger at diagnosis compared with LMS − tumors and to a marked rise in the incidence of metastasis after LMS + tumors reach 2 cm. Patients with LMS-expressing primary tumors selectively fail in the lung compared with the bone or other visceral sites and have a worse overall survival. The mechanistic linkage between metastasis gene expression, accelerated tumor growth, and likelihood of metastatic recurrence provided by the LMS may help to explain observations of prognostic gene signatures in primary cancer and how tumor growth can both lead to metastasis and be a marker for cells destined to metastasize.
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“CXCL1 emerged among a set of genes whose expression is associated with lung relapse in breast tumors, including tumors that had not been exposed to prior chemotherapy (Minn et al., 2007; Minn et al., 2005), and as a gene that increases the aggressiveness of circulating breast tumor cells (Kim et al., 2009).”
From A CXCL1 Paracrine Network Links Cancer Chemoresistance and Metastasis (2012) · cites this paper as Minn et al., 2007
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Cites
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
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
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
van de Vijver, M. J., He, Y. D., Veer, L. V. ‘., Dai, H. A., Hart, A. A. M., Voskuil, D. W., Schreiber, G. J., Peterse, J. L., Roberts, C., Marton, M. J., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa021967 · Cited by 6,474
A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer
Paik, S., Shak, S., Tang, G., Kim, C., Baker, J. B., Cronin, M. T., Baehner, F. L., Walker, M. G., Watson, D., Park, T., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041588 · Cited by 6,321
Repeated observation of breast tumor subtypes in independent gene expression data sets
Sørlie, T., Tibshirani, R. J., Parker, J. S., Hastie, T. J., Marron, J. S., Nobel, A. B., Deng, S., Johnsen, H., Pesich, R., Geisler, S. B., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0932692100 · Cited by 5,508
TM4: a free, open-source system for microarray data management and analysis
Saeed, A. I., Sharov, V., White, J., Li, J., Liang, W., Bhagabati, N., Braisted, J., Klapa, M., Currier, T., Thiagarajan, M., et al. (2003) · BioTechniques · doi:10.2144/03342mt01 · Cited by 4,837
The pathogenesis of cancer metastasis: the ‘seed and soil’ hypothesis revisited
Fidler, I. J. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1098 · Cited by 4,686
Dissemination and growth of cancer cells in metastatic sites
Chambers, A. F., Groom, A. C., & MacDonald, I. C. (2002) · Nature reviews. Cancer · doi:10.1038/nrc865 · Cited by 4,018
Genes that mediate breast cancer metastasis to lung
Minn, A. J., Gupta, G. P., Siegel, P. M., Bos, P. D., Shu, W., Giri, D. D., Viale, A., Olshen, A. B., Gerald, W. L., & Massagué, J. (2005) · Nature · doi:10.1038/nature03799 · Cited by 2,922
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Research works printed but not linked: 1
- H Ishwaran, UB Kogalur R News, in press. (2007).
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Items 101–200 of 400
Gautschi, O. P., Tepper, C. G., Purnell, P. R., Izumiya, Y., Evans, C. P., Green, T. P., Desprez, P. Y., Lara, P. N., Gandara, D. R., Mack, P. C., et al. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-6403 · Cited by 81
Duquet, A., Melotti, A., Mishra, S., Malerba, M., Seth, C., Conod, A., & Altaba, A. R. I. (2014) · EMBO Molecular Medicine · doi:10.15252/emmm.201303799 · Cited by 77
Koedoot, E., Fokkelman, M., Rogkoti, V.-M., Smid, M., van de Sandt, I., de Bont, H., Pont, C., Klip, J. E., Wink, S., Timmermans, M. A. M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11020-3 · Cited by 77
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Xu, J., Yang, X., Deng, Q., Yang, C., Wang, D., Jiang, G., Yao, X., He, X., Ding, J., Qiang, J., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24703-7 · Cited by 74
Gril, B., Evans, L. M., Palmieri, D., & Steeg, P. S. (2010) · European Journal of Cancer · doi:10.1016/j.ejca.2010.02.033 · Cited by 74
Wu, K., Xu, H., Yuan, X., Tian, Y., Liu, Y., Liu, Q., Wu, H. K., & Wu, G. S. (2016) · OncoTargets and Therapy · doi:10.2147/ott.s97192 · Cited by 76
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Milano, M. T., Katz, A. W., & Okunieff, P. G. (2010) · American Journal of Clinical Oncology · doi:10.1097/coc.0b013e3181979238 · Cited by 73
Morris, P. G., Zhou, X. K., Milne, G. L., Goldstein, D. A., Hawks, L. C., Dang, C. T., Modi, S., Fornier, M. N., Hudis, C. A., & Dannenberg, A. J. (2013) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-12-0431 · Cited by 72
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Amanda, P. A. (2010) · Frontiers in bioscience · doi:10.2741/3830 · Cited by 69
Wu, Q., Tian, P., He, D., Jia, Z., He, Y., Luo, W., Lv, X., Wang, Y., Zhang, P., Liang, Y., et al. (2023) · Cell Research · doi:10.1038/s41422-023-00810-6 · Cited by 73
Self-citationAlbrechtsen, R., Kveiborg, M., Stautz, D., Vikeså, J., Noer, J. B., Kotzsh, A., Nielsen, F. C., Wewer, U. M., & Fröhlich, C. (2013) · Journal of Cell Science · doi:10.1242/jcs.129510 · Cited by 69
Roukos, D. H. (2007) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.8.1.29 · Cited by 69
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Szász, A. M., Németh, Z., Győrffy, B., Micsinai, M., Krenács, T., Baranyai, Z., Harsányi, L., Kiss, A., Schaff, Z., Tõkés, A., et al. (2011) · Cancer Science · doi:10.1111/j.1349-7006.2011.02085.x · Cited by 67
Walia, V., Yu, Y., Cao, D., Sun, M., McLean, J. R., Hollier, B. G., Cheng, J., Mani, S. A., Rao, K., Premkumar, L. S., et al. (2011) · Oncogene · doi:10.1038/onc.2011.392 · Cited by 69
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Sausgruber, N., Coissieux, M.-M., Britschgi, A., Wyckoff, J., Aceto, N., Leroy, C., Stadler, M. B., Voshol, H., Bonenfant, D., & Bentires-Alj, M. (2014) · Oncogene · doi:10.1038/onc.2014.170 · Cited by 67
Dzięgiel, P., Owczarek, T. B., Plaz̀uk, E., Gomułkiewicz, A., MAJCHRZAK, M. W., Podhorska‐Okołów, M., Driouch, K., Lidereau, R., & Ugorski, M. (2010) · British Journal of Cancer · doi:10.1038/sj.bjc.6605750 · Cited by 64
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Yu, T., Wang, C., Xie, M., Zhu, C., Shu, Y., Tang, J., & Guan, X. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111314 · Cited by 65
Knopfová, L., Beneš, P., Pekarčíková, L., Hermanová, M., Masařík, M., Pernicová, Z., Souček, K., & Šmarda, J. (2012) · Molecular Cancer · doi:10.1186/1476-4598-11-15 · Cited by 64
de Graauw, M., Cao, L., Winkel, L. C. J., van Miltenburg, M. H. A. M., Dévédec, S. E. L., Klop, M.-L., Yan, K., Pont, C., Rogkoti, V.-M., Tijsma, A., et al. (2013) · Oncogene · doi:10.1038/onc.2013.219 · Cited by 61
Rody, A., Karn, T., Ruckhäberle, E., Müller, V., Gehrmann, M. C., Solbach, C., Ahr, A., Gätje, R., Holtrich, U., & Kaufmann, M. (2008) · Breast Cancer Research and Treatment · doi:10.1007/s10549-008-9964-x · Cited by 62
Liu, N. Q., Marchi, T. D., Timmermans, A. M., Beekhof, R., Trapman-Jansen, A., Foekens, R., Look, M. P., van Deurzen, C. H. M., Span, P. N., Sweep, F. C. G. J., et al. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.037176 · Cited by 61
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Winnard, P. T., Pathak, A. P., Dhara, S., Cho, S. Y., Raman, V., & Pomper, M. G. (2008) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.045948 · Cited by 62
Gorodeski, E. Z., Ishwaran, H., Kogalur, U. B., Blackstone, E. H., Hsich, E., Zhang, Z.-M., Vitolins, M. Z., Manson, J. E., Curb, J. D., Martin, L. W., et al. (2011) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.110.959023 · Cited by 59
Self-citationBianchini, G., Pusztai, L., Karn, T., Iwamoto, T., Rody, A., Kelly, C. M., Müller, V., Schmidt, M., Qi, Y., Holtrich, U., et al. (2013) · Breast Cancer Research · doi:10.1186/bcr3481 · Cited by 57
Karn, T., Metzler, D., Ruckhäberle, E., Hanker, L., Gätje, R., Solbach, C., Ahr, A., Schmidt, M., Holtrich, U., Kaufmann, M., et al. (2009) · Breast Cancer Research and Treatment · doi:10.1007/s10549-009-0416-z · Cited by 56
Rutkowski, M. R., Svoronos, N., Perales‐Puchalt, A., & Conejo-Garcia, J. R. (2015) · Advances in cancer research · doi:10.1016/bs.acr.2015.04.011 · Cited by 56
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Soon, W. W., Miller, L. D., Black, M. A., Dalmasso, C., Chan, X. B., Pang, B., Ong, C. W., Salto‐Tellez, M., Desai, K. V., & Liu, E. T. (2011) · EMBO Molecular Medicine · doi:10.1002/emmm.201100150 · Cited by 54
Ice, R. J., McLaughlin, S. L., Livengood, R. H., Culp, M. V., Eddy, E. R., Ivanov, A. V., & Pugacheva, E. N. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-4008 · Cited by 54
Rosso, M. E. D., Sterle, H., Cremaschi, G., & Genaro, A. M. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01341 · Cited by 53
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Haibe‐Kains, B., Desmedt, C., Rothé, F., Piccart, M. J., Sotiriou, C. P., & Bontempi, G. (2010) · Genome biology · doi:10.1186/gb-2010-11-2-r18 · Cited by 55
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Monteiro, J., Gaspar, C., Richer, W., Franken, P., Sacchetti, A., Joosten, R., Idali, A., Brandao, J., Decraene, C., & Fodde, R. (2013) · Carcinogenesis · doi:10.1093/carcin/bgt279 · Cited by 55
Buishand, F. O., Kik, M. J. L., & Kirpensteijn, J. (2010) · The Veterinary Journal · doi:10.1016/j.tvjl.2010.04.015 · Cited by 53
Yu, Z., Lun, S.-M., He, R., Tian, H.-P., Huang, H.-J., Wang, Q.-S., Li, X., & Feng, Y.-M. (2017) · Cancer Letters · doi:10.1016/j.canlet.2017.05.020 · Cited by 52
Zhu, L. W., Feng, X., Yang, S., Wang, J., Pan, Y., Ding, J., Li, C., Yin, X., & Yu, Y. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112780 · Cited by 50
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Comen, E. A., Norton, L., & Massagué, J. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2011.36.1873 · Cited by 50
Self-citationYang, X. H., Vasudevan, P., Parekh, V., Penev, A., & Cunningham, J. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056195 · Cited by 48
Hammerl, D., Massink, M. P. G., Smid, M., van Deurzen, C. H. M., Meijers-Heijboer, H. E. J., Waisfisz, Q., Debets, R., & Martens, J. W. M. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-0285 · Cited by 46
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Kozyreva, V. K., McLaughlin, S. L., Livengood, R. H., Calkins, R. A., Kelley, L. C., Rajulapati, A., Ice, R. J., Smolkin, M. B., Weed, S. A., & Pugacheva, E. N. (2014) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-13-0654 · Cited by 47
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Barbai, T., Fejôs, Z., Puskás, L. G., Tı́már, J., & Rásó, E. (2015) · Oncotarget · doi:10.18632/oncotarget.5059 · Cited by 47
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Liu, L., Yin, B., Yi, Z., Liu, X., Hu, Z., Gao, W., Yu, H.-W., & Li, Q. (2018) · Breast Cancer · doi:10.1007/s12282-018-0880-6 · Cited by 47
Locard‐Paulet, M., Lim, L., Veluscek, G., McMahon, K. M., Sinclair, J., van Weverwijk, A., Worboys, J. D., Yuan, Y., Isacke, C. M., & Jørgensen, C. (2016) · Science Signaling · doi:10.1126/scisignal.aac5820 · Cited by 45
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Xu, H., Yu, S., Yuan, X., Xiong, J., Kuang, D., Pestell, R. G., & Wu, K. (2017) · Scientific Reports · doi:10.1038/s41598-017-04709-2 · Cited by 46
Qin, Y., Chen, W., Jiang, G., Zhou, L., Yang, X., Li, H., He, X., Wang, H., Zhou, Y., Huang, S., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaw9960 · Cited by 44
Norton, L. (2008) · Breast Disease · doi:10.3233/bd-2008-29104 · Cited by 45
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Comen, E. A., & Norton, L. (2012) · Recent results in cancer research/Recent Results in Cancer Research · doi:10.1007/978-3-642-28160-0_2 · Cited by 45
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Kedrin, D., Wyckoff, J. B., Boimel, P. J., Coniglio, S. J., Hynes, N. E., Arteaga, C. L., & Segall, J. E. (2009) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-08-2163 · Cited by 44
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Liu, L., Sun, B., Pedersen, J. N., Yong, K. M. A., Getzenberg, R. H., Stone, H. A., & Austin, R. H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1102808108 · Cited by 43
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Cai, R., Wang, P., Zhao, X., Lu, X., Deng, R., Wang, X., Su, Z., Hong, C., & Lin, J. (2020) · Journal of Translational Medicine · doi:10.1186/s12967-020-02310-2 · Cited by 42
Risk factors and survival outcomes in patients with brain metastases from breast cancer
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Vaidyanathan, S., Thangavelu, P. U., & Duijf, P. H. G. (2016) · Targeted Oncology · doi:10.1007/s11523-016-0432-y · Cited by 41
Drier, Y., & Domany, E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017795 · Cited by 40
Pradeep, C.-R., Zeisel, A., Köstler, W. J., Lauriola, M., Jacob‐Hirsch, J., Haibe‐Kains, B., Amariglio, N., Ben‐Chetrit, N., Emde, A., Solomonov, I., et al. (2011) · Oncogene · doi:10.1038/onc.2011.547 · Cited by 39
Xu, H.-X., Wu, K.-J., Tian, Y., Liu, Q., Han, N., He, X.-L., Yuan, X., Wu, G. S., & Wu, K.-M. (2016) · Medicine · doi:10.1097/md.0000000000004085 · Cited by 41
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Goldman, E., Zinger, A., da Silva, D., Yaari, Z. A., Kajal, A., Vardi‐Oknin, D., Goldfeder, M., Schroeder, J. E., Shainsky‐Roitman, J., Hershkovitz, D., et al. (2017) · Nanotechnology · doi:10.1088/1361-6528/aa8a3d · Cited by 40
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Culhane, A. C., & Quackenbush, J. F. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-3350 · Cited by 40
Xu, H., Zhang, Y., Altomare, D. F., Pena, M. M., Wan, F., Pirisi, L. A., & Creek, K. E. (2014) · Carcinogenesis · doi:10.1093/carcin/bgu050 · Cited by 41
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Chandimali, N., Jeong, D. K., & Kwon, T. (2018) · Cancers · doi:10.3390/cancers10090305 · Cited by 39
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Xu, T., Dong, M., Li, H., Zhang, R., & Li, X. (2020) · Oncology Letters · doi:10.3892/ol.2020.11533 · Cited by 36
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Ruckhäberle, E., Karn, T., Hanker, L., Gätje, R., Metzler, D., Holtrich, U., Kaufmann, M., & Rody, A. (2008) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-008-0436-9 · Cited by 39
Drews‐Elger, K., Brinkman, J. A., Miller, P., Shah, S. H., Harrell, J. C., Silva, T. G. D., Ao, Z., Schlater, A., Azzam, D. J., Diehl, K. M., et al. (2014) · Breast Cancer Research and Treatment · doi:10.1007/s10549-014-2887-9 · Cited by 37
Karn, T., Ruckhäberle, E., Hanker, L., Müller, V., Schmidt, M., Solbach, C., Gätje, R., Gehrmann, M. C., Holtrich, U., Kaufmann, M., et al. (2011) · Breast Cancer Research and Treatment · doi:10.1007/s10549-010-1333-x · Cited by 39
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Chambers, A. F. (2008) · Clinical & Experimental Metastasis · doi:10.1007/s10585-008-9164-4 · Cited by 39
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Leccia, F., Vecchio, L. D., Mariotti, E., Noto, R. D., Morel, A., Puisieux, A., Salvatore, F., & Ansieau, S. (2014) · Molecular Cancer · doi:10.1186/1476-4598-13-213 · Cited by 38
Identification of large rearrangements in cancer genomes with barcode linked reads
Xia, L. C., Bell, J., Wood-Bouwens, C. M., Chen, J., Zhang, N. R., & Ji, H. P. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1193 · Cited by 37
Marro, M., Nieva, C., de Juan, A., & Sierra, À. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.7b04527 · Cited by 37
Stromal biomarkers in breast cancer development and progression
Rudnick, J. A., & Kuperwasser, C. (2012) · Clinical & Experimental Metastasis · doi:10.1007/s10585-012-9499-8 · Cited by 38
An essential role of metalloprotease-disintegrin ADAM12 in triple-negative breast cancer
Li, H. Z., Duhachek-Muggy, S., Qi, Y., Hong, Y., Behbod, F., & Żółkiewska, A. (2012) · Breast Cancer Research and Treatment · doi:10.1007/s10549-012-2220-4 · Cited by 36
Clinical relevance of the putative stem cell marker p63 in breast cancer
Hanker, L., Karn, T., Ruckhaeberle, E., Gaetje, R., Solbach, C., Schmidt, M., Engels, K., Holtrich, U., Kaufmann, M., & Rody, A. (2009) · Breast Cancer Research and Treatment · doi:10.1007/s10549-009-0608-6 · Cited by 36
Mboge, M. Y., Chen, Z., Khokhar, D., Wolff, A., Ai, L., Heldermon, C. D., Bozdağ, M., Carta, F., Supuran, C. T., Brown, K. D., et al. (2019) · Biochemical Journal · doi:10.1042/bcj20190177 · Cited by 38
RetractedCai, W. L., Greer, C. B., Chen, J. F.-Y., Estape, A. A., Cao, J. P., Yan, Q., & Nguyen, D. X. (2020) · BMC Medical Genomics · doi:10.1186/s12920-020-0695-0 · Cited by 37
Self-citationRapid multilayer microfabrication for modeling organotropic metastasis in breast cancer
Kwak, T. J., & Lee, E. (2020) · Biofabrication · doi:10.1088/1758-5090/abbd28 · Cited by 37
Más-o-menos: a simple sign averaging method for discrimination in genomic data analysis
Zhao, S. D., Parmigiani, G., Huttenhower, C., & Waldron, L. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu488 · Cited by 35
NRAS destines tumor cells to the lungs
Giannou, A. D., Marazioti, A., Kanellakis, N. I., Giopanou, I., Lilis, I., Zazara, D. E., Ntaliarda, G., Kati, D., Armenis, V., Giotopoulou, G. A., et al. (2017) · EMBO Molecular Medicine · doi:10.15252/emmm.201606978 · Cited by 35
Coexisting genomic aberrations associated with lymph node metastasis in breast cancer
Bao, L., Qian, Z., Lyng, M., Wang, L., Yu, Y., Wang, T., Zhang, X., Yang, H., Brünner, N., Wang, J., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci97449 · Cited by 35
Stem Cell-Like Gene Expression in Ovarian Cancer Predicts Type II Subtype and Prognosis
Schwede, M., Spentzos, D., Bentink, S., Hofmann, O., Haibe‐Kains, B., Harrington, D. P., Quackenbush, J. F., & Culhane, A. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057799 · Cited by 34
Weidle, U. H., Birzele, F., Kollmorgen, G., & Rüger, R. (2016) · PubMed · Cited by 34
Stasenko, M., Smith, E. S., Yeku, O., Park, K. J., Laster, I., Lee, K., Walderich, S. J., Spriggs, E. L., Rueda, B. R., Weigelt, B., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-82686-3 · Cited by 34
Pellegata, N. S., Berriel Diaz, M., Rohm, M., & Herzig, S. (2022) · Cancer and Metastasis Reviews · doi:10.1007/s10555-022-10058-y · Cited by 33
Yau, C. S. F., Wang, Y., Zhang, Y., Foekens, J. A., & Benz, C. C. (2011) · Breast Cancer Research and Treatment · doi:10.1007/s10549-011-1345-1 · Cited by 32
Self-citationMultiple Testing of Gene Sets from Gene Ontology: Possibilities and Pitfalls
Meijer, R. J., & Goeman, J. J. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv091 · Cited by 32
Bayesian multistudy factor analysis for high-throughput biological data
Vito, R. D., Bellio, R., Trippa, L., & Parmigiani, G. (2021) · The Annals of Applied Statistics · doi:10.1214/21-aoas1456 · Cited by 38
Alsarraj, J., & Hunter, K. W. (2011) · International Journal of Breast Cancer · doi:10.1155/2012/670632 · Cited by 34
Laere, S. V., Beißbarth, T., der Auwera, I. V., den Eynden, G. V., Trinh, X. B., Elst, H., Hummelen, P. V., van Dam, P. A., Marck, E. V., Vermeulen, P., et al. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-08-1077 · Cited by 32
Norton, L. (2014) · American Society of Clinical Oncology Educational Book · doi:10.14694/edbook_am.2014.34.3 · Cited by 31
Genes controlling spread of breast cancer to lung "gang of 4".
Eltarhouny, S. A., Elsawy, W. H., Radpour, R., Hahn, S., Holzgreve, W., & Zhong, X. Y. (2008) · PubMed · Cited by 30
Mechanism-Based Profiling of MMPs
Fisher, J. F., & Mobashery, S. (2010) · Methods in molecular biology · doi:10.1007/978-1-60327-299-5_27 · Cited by 30
Sun, X., Zhang, J., & Nie, Q. H. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008379 · Cited by 29
Metadata
- Authors
- Minn, A. J., Gupta, G. P., Padua, D., Bos, P., Nguyen, D. X., Nuyten, D., Kreike, B., Zhang, Y., Wang, Y., Ishwaran, H., Foekens, J. A., van de Vijver, M., & Massagué, J.
- Affiliations
- University of Chicago (US)
- Memorial Sloan Kettering Cancer Center (US)
- The Netherlands Cancer Institute (NL)
- Johnson & Johnson (United States) (US)
- Cleveland Clinic (US)
- Erasmus MC (NL)
- **Department of Diagnostic Oncology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands;
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2007-04-17
- Volume
- 104
- Issue
- 16
- Pages
- 6740-6745
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC1871856
- OpenAlex
- W2021880490
- Cited by
- 400
- References
- 27
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 3 · 2023: 25 · 2022: 10 · 2021: 32 · 2020: 16 · 2019: 12 · 2018: 19 · 2017: 16 · 2016: 22 · 2015: 22 · 2014: 29 · 2013: 24 · 2012: 28
- FWCI
- 14.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Funders
- U.S. Public Health Service (P01-94060)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mechanisms of cancer metastasis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- breast cancer, lung metastasis, tumor size, primary tumor growth, intravasation, prognostic gene signature, distant recurrence, overall survival, tumor microenvironment
- MeSH terms
- Animals, Breast Neoplasms, Female, Humans, Lung Neoplasms, Mammary Neoplasms, Experimental, Gene Expression Regulation, Neoplastic, Cell Line, Tumor, Mice
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 ›
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