The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“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
Citations
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
Self-citation
Research works printed but not linked: 1
- H Ishwaran, UB Kogalur R News, in press. (2007).
Cited by
Sorted by citations
Items 201–300 of 400
Establishment of a novel orthotopic model of breast cancer metastasis to the lung
Guo, W., Zhang, S., & Liu, S. (2015) · Oncology Reports · doi:10.3892/or.2015.3927 · Cited by 30
Tanaka, T., Imamura, T., Yoneda, M., Irie, A., Ogi, H., Nagata, M., Yoshida, R., Fukuma, D., Kawahara, K., Shinohara, M., et al. (2016) · International Journal of Oncology · doi:10.3892/ijo.2016.3653 · Cited by 30
Johnstone, C. N., Pattison, A., Gorringe, K. L., Harrison, P. F., Powell, D., Lock, P., Baloyan, D., Ernst, M., Stewart, A. G., Beilharz, T. H., et al. (2018) · Disease Models & Mechanisms · doi:10.1242/dmm.032250 · Cited by 30
Hsu, J., Chang, K., Chen, S., Lee, C., Chang, S.-T., Cheng, H.-C., Chang, W., & Chen, B. (2014) · Oncotarget · doi:10.18632/oncotarget.2783 · Cited by 29
Yan, Z., Wang, Q., Sun, X.-X., Ban, B.-B., Lu, Z., Dang, Y.-F., Xie, L.-X., Zhang, L., Li, Y.-Q., Zhu, W., et al. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01349 · Cited by 28
Li, Y., Wang, S., Yang, W., & Liu, H. (2021) · Medicine · doi:10.1097/md.0000000000026619 · Cited by 30
Gene arrays for diagnosis, prognosis and treatment of breast cancer metastasis
Driouch, K., Landemaine, T., Sin, S., Wang, S., & Lidereau, R. (2007) · Clinical & Experimental Metastasis · doi:10.1007/s10585-007-9110-x · Cited by 29
Sonnenblick, A., Venet, D., Brohée, S., Ponde, N. F., & Sotiriou, C. P. (2019) · npj Breast Cancer · doi:10.1038/s41523-019-0102-1 · Cited by 27
A data-driven approach to modeling cancer cell mechanics during microcirculatory transport
Balogh, P., Gounley, J. P., Roychowdhury, S., & Randles, A. P. (2021) · Scientific Reports · doi:10.1038/s41598-021-94445-5 · Cited by 29
Amara, D., Wolf, D. M., Veer, L. V. ‘., Esserman, L. J., Campbell, M. J., & Yau, C. S. F. (2016) · Breast Cancer Research and Treatment · doi:10.1007/s10549-016-4041-3 · Cited by 26
Lavigne, A.-C., Castells, M., Mermet, J., Kocanova, S., Dalvai, M., & Bystricky, K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098930 · Cited by 26
RamiGO: an R/Bioconductor package providing an AmiGO Visualize interface
Schröder, M., Gusenleitner, D., Quackenbush, J. F., Culhane, A. C., & Haibe‐Kains, B. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts708 · Cited by 26
Qian, J., Chen, H., Ji, X., Eisenberg, R., Chakravarthy, A. B., Mayer, I. A., & Massion, P. P. (2017) · Scientific Reports · doi:10.1038/srep45828 · Cited by 28
Bernards, N., Ventura, M., Fricke, I. B., Hendriks, B. S., Fitzgerald, J. B., Lee, H., & Zheng, J. (2018) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.8b00540 · Cited by 25
Wang, X., Zhang, T., Zhang, S., & Shan, J. (2018) · Bioscience Reports · doi:10.1042/bsr20180949 · Cited by 25
Amplification of the CD24 Gene Is an Independent Predictor for Poor Prognosis of Breast Cancer
Zhang, P., Zheng, P., & Liu, Y. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00560 · Cited by 25
Shin, D., Park, J., Han, D., Moon, J. H., Ryu, H. S., & Kim, Y. (2020) · Clinical Proteomics · doi:10.1186/s12014-020-09280-z · Cited by 25
Untargeted Metabolomics of Breast Cancer Cells MCF-7 and SkBr3 Treated With Tamoxifen/Trastuzumab
Sharaf, B. M., Giddey, A. D., Alniss, H. Y., Al-Hroub, H. M., El‐Awady, R., Mousa, M., Almehdi, A. M., Soares, N. C., & Semreen, M. H. (2021) · Cancer Genomics & Proteomics · doi:10.21873/cgp.20305 · Cited by 24
Bayesian variable selection for globally sparse probabilistic PCA
Bouveyron, C., Latouche, P., & Mattei, P. (2018) · Electronic Journal of Statistics · doi:10.1214/18-ejs1450 · Cited by 24
Biglycan and reduced glycolysis are associated with breast cancer cell dormancy in the brain
Sunderland, A., Williams, J. M., Andreou, T., Rippaus, N., Fife, C. M., James, F., Kartika, Y. D., Speirs, V., Carr, I., Droop, A., et al. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1191980 · Cited by 23
Phosphoinositides signalling in cancer: Focus on PI3K and PLC
Raimondi, C., & Falasca, M. (2011) · Advances in Biological Regulation · doi:10.1016/j.advenzreg.2011.09.016 · Cited by 24
Optomechanical devices for deep plasma cancer proteomics
Kosaka, P. M., Calleja, M., & Tamayo, J. (2017) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2017.08.011 · Cited by 23
Xie, M., Zhou, L., Chen, X., Gainey, L. O., Xiao, J., Nanes, M. S., Hou, A., You, S., & Chen, Q. (2015) · BioMed Research International · doi:10.1155/2015/426429 · Cited by 22
RetractedThe challenge of gene expression profiling in heterogeneous clinical samples
Rodríguez-González, F. G., Mustafa, D. A. M., Mostert, B., & Sieuwerts, A. M. (2012) · Methods · doi:10.1016/j.ymeth.2012.05.005 · Cited by 25
Cardone, R. A., Greco, M. R., Capulli, M., Weinman, E. J., Busco, G., Bellizzi, A., Casavola, V., Antelmi, E., Ambruosi, B., Dell’Aquila, M. E., et al. (2012) · Molecular Biology of the Cell · doi:10.1091/mbc.e11-11-0911 · Cited by 22
ANGPTL4 T266M variant is associated with reduced cancer invasiveness
Tan, Z. W., Teo, Z. Q., Tan, C., Choo, C. C., Loo, W. S., Song, Y., Tam, Z. Y., Ng, S. P., Koh, D. H. Z., Ng, Y. S., et al. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2017.06.010 · Cited by 22
Fusion between tumor cells enhances melanoma metastatic potential
Mi, R., Pan, C., Bian, X., Song, L., Tian, W., Cao, F., Yin, J. J., Peng, H., & Ma, J. (2012) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-012-1242-y · Cited by 22
Tuning-parameter selection in regularized estimations of large covariance matrices
Fang, Y., Wang, B., & Feng, Y. (2015) · Journal of Statistical Computation and Simulation · doi:10.1080/00949655.2015.1017823 · Cited by 22
Karabulut, S., Taş, F., Taştekin, D., Karabulut, M., Yasasever, C. T., Çiftçi, R., Güveli̇, M. E., Fayda, M., Vatansever, S., Serilmez, M., et al. (2014) · Tumor Biology · doi:10.1007/s13277-014-2151-2 · Cited by 21
Matrix Metalloproteinase 1: Role in Sarcoma Biology
Jawad, M. U., Garamszegi, N., Garamszegi, S. P., Correa-Medina, M., Díez, J., Wen, R., & Scully, S. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014250 · Cited by 21
Biochemical and Anti-Triple Negative Metastatic Breast Tumor Cell Properties of Psammaplins
Zhou, Y., Li, J., Du, L., Mahdi, F., Le, T., Chen, W., Swanson, S. M., Watabe, K., & Nagle, D. G. (2018) · Marine Drugs · doi:10.3390/md16110442 · Cited by 21
Choreographing Metastasis to the Tune of LTBP
Chandramouli, A., Simundza, J., Pinderhughes, A., & Cowin, P. (2011) · Journal of Mammary Gland Biology and Neoplasia · doi:10.1007/s10911-011-9215-3 · Cited by 20
OPG and PgR show similar cohort specific effects as prognostic factors in ER positive breast cancer
Sänger, N., Ruckhäberle, E., Bianchini, G., Heinrich, T. M., Milde‐Langosch, K., Müller, V., Rody, A., Solomayer, E. F., Fehm, T. N., Holtrich, U., et al. (2014) · Molecular Oncology · doi:10.1016/j.molonc.2014.04.003 · Cited by 20
Descotes, F. ⁄. O. (2012) · International Journal of Oncology · doi:10.3892/ijo.2012.1456 · Cited by 20
Itou, J., Tanaka, S., Li, W., Iida, A., Sehara‐Fujisawa, A., Sato, F., & Toi, M. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2016.10.012 · Cited by 21
Comprehensive epigenetic analyses reveal master regulators driving lung metastasis of breast cancer
Li, K., Xu, C., Du, Y., Junaid, M., Kaushik, A. C., & Wei, D. (2019) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.14424 · Cited by 20
Mekenkamp, L. J., Haan, J. C., Koopman, M., Vink-Börger, M. E., Israeli, D., Teerenstra, S., Ylstra, B., Meijer, G. A., Punt, C. J. A., & Nagtegaal, I. D. (2012) · Gut · doi:10.1136/gutjnl-2011-301587 · Cited by 20
The thyroid status reprograms T cell lymphoma growth and modulates immune cell frequencies
Sterle, H., Arcos, M. L. B., Valli, E., Paulazo, M. A., Méndez‐Huergo, S. P., Blidner, A. G., Cayrol, F., Flaqué, M. C. D., Klecha, A. J., Medina, V. A., et al. (2015) · Journal of Molecular Medicine · doi:10.1007/s00109-015-1363-2 · Cited by 19
Gene expression profiles and breast cancer metastasis: a genetic perspective
Hunter, K. W., & Alsarraj, J. (2009) · Clinical & Experimental Metastasis · doi:10.1007/s10585-009-9249-8 · Cited by 19
Bailey, T., Simeon, J., & Thrush, J. (2021) · Journal of Carcinogenesis · doi:10.4103/jcar.jcar_20_20 · Cited by 18
Espinoza‐Sánchez, N. A., Győrffy, B., Fuentes‐Pananá, E. M., & Götte, M. (2019) · Journal of Cancer · doi:10.7150/jca.34302 · Cited by 18
Fresno, C., González, G. A., Merino, G. A., Flesia, A. G., Podhajcer, O. L., Llera, A. S., & Fernández, E. A. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw704 · Cited by 17
Roelands, J. P., Decock, J. V., Boughorbel, S., Rinchai, D., Maccalli, C., Ceccarelli, M., Black, M. A., Print, C., Chou, J., Presnell, S., et al. (2018) · F1000Research · doi:10.12688/f1000research.10960.2 · Cited by 17
Foekens, J. A., Wang, Y., Martens, J. W. M., Berns, E. M. J. J., & Klijn, J. G. M. (2008) · Drug Discovery Today · doi:10.1016/j.drudis.2008.03.003 · Cited by 17
Self-citationWestover, K. D., Iyengar, P., Sharma, A., & Timmerman, R. D. (2015) · Lung Cancer · doi:10.1016/j.lungcan.2015.04.009 · Cited by 16
Speers, C. W., Chang, S. L., Pesch, A. M., Ritter, C. L., Olsen, E. C., Chandler, B., Moubadder, L., Liu, M., Cameron, M., Michmerhuizen, A. R., et al. (2020) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2020.05.015 · Cited by 16
Roles for growth factors and mutations in metastatic dissemination
Nataraj, N. B., Marrocco, I., & Yarden, Y. (2021) · Biochemical Society Transactions · doi:10.1042/bst20210048 · Cited by 17
Wang, F., Li, X., Pan, M., Hassan, M. S., Sun, W., & Fan, Y. (2021) · Cancer Medicine · doi:10.1002/cam4.4150 · Cited by 16
Identification of fatty acid amide hydrolase as a metastasis suppressor in breast cancer
Tundidor, I., Seijo-Vila, M., Blasco-Benito, S., Rubert-Hernández, M., Adámez-Rodríguez, S., Andradas, C., Manzano, S., Álvarez, I., Sarasqueta, C., Villa‐Morales, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38750-9 · Cited by 15
Piedra-Delgado, L., Chambergo‐Michilot, D., Morante, Z., Oro, C. F., Jerves-Coello, F., Luque, R., Casas, F., Bustamante, E., Rázuri-Bustamante, C. R., Torres-Román, J. S., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0293833 · Cited by 16
Grandhi, A., Guo, W., & Peddada, S. D. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-0937-5 · Cited by 15
Marsan, M., den Eynden, G. V., Limame, R., Neven, P., Hauspy, J., van Dam, P. A., Vergote, I. B., Dirix, L. Y., Vermeulen, P. B., & Laere, S. V. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089262 · Cited by 15
Merrill, M. A. L., Gordon, R. R., Hunter, K. W., Threadgill, D. W., & Pomp, D. (2010) · Clinical & Experimental Metastasis · doi:10.1007/s10585-009-9302-7 · Cited by 15
Gerashchenko, T. S., Zolotareva, S. Y., Kiselev, A. M., Таширева, Л. А., Novikov, N. M., Krakhmal, N. V., Чердынцева, Н. В., Zavyalova, M. V., Михайлович, П. В., & Denisov, E. V. (2020) · Cancers · doi:10.3390/cancers12071909 · Cited by 15
Roelands, J. P., Decock, J. V., Boughorbel, S., Rinchai, D., Maccalli, C., Ceccarelli, M., Black, M. A., Print, C., Chou, J., Presnell, S., et al. (2017) · F1000Research · doi:10.12688/f1000research.10960.1 · Cited by 15
68Ga-Chloride PET Reveals Human Pancreatic Adenocarcinoma Xenografts in Rats—Comparison with FDG
Ujula, T., Salomäki, S., Autio, A. K., Luoto, P., Tolvanen, T., Lehikoinen, P., Viljanen, T., Sipilä, H. T., Härkönen, P. L., & Roivainen, A. (2009) · Molecular Imaging and Biology · doi:10.1007/s11307-009-0267-3 · Cited by 15
T cell- but not tumor cell-produced TGF-β1 promotes the development of spontaneous mammary cancer
Sarkar, A., Donkor, M. K., & Li, M. O. (2011) · Oncotarget · doi:10.18632/oncotarget.403 · Cited by 15
Ganapathy, A., Paterson, I. C., Prime, S. S., Eveson, J. W., Pring, M., Price, N., Threadgold, S. P., & Davies, M. (2010) · Cancer Letters · doi:10.1016/j.canlet.2010.06.008 · Cited by 13
Genetic and microenvironmental implications in prostate cancer progression and metastasis.
Alberti, C. (2008) · PubMed · Cited by 13
Fisher, J. C., Gander, J. W., Haley, M. J., Hernandez, S. L., Huang, J., Chang, Y.-J., Johung, T., Guarnieri, P., O’Toole, K., Yamashiro, D. J., et al. (2011) · Vascular Cell · doi:10.1186/2045-824x-3-22 · Cited by 12
Zhao, S. G., Shilkrut, M., Speers, C. W., Liu, M., Wilder-Romans, K., Lawrence, T. S., Pierce, L. J., & Feng, F. Y.-C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0126631 · Cited by 12
Common Molecular Mechanisms of Mammary Gland Development and Breast Cancer
Culhane, A. C., & Howlin, J. (2007) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-007-7387-1 · Cited by 12
Wang, L., Wang, W., Zeng, S., Zheng, H., & Lu, Q. (2020) · PLoS ONE · doi:10.1371/journal.pone.0244693 · Cited by 11
Protein deregulation associated with breast cancer metastasis
Chan, K. K., Matchett, K. B., McEnhill, P., Dakir, E. H., McMullin, M. F., El‐Tanani, Y., Patterson, L. H., Faheem, A., Rudland, P. S., McCarron, P. A., et al. (2015) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2015.05.002 · Cited by 12
Wik, E., Trovik, J., Kusonmano, K., Birkeland, E. E., Raeder, M. B., Pashtan, I. M., Høivik, E. A., Krakstad, C., Werner, H. M. J., Holst, F., et al. (2014) · Gynecologic Oncology · doi:10.1016/j.ygyno.2014.06.026 · Cited by 11
A New Robust Method for Nonlinear Regression
Kengwoung, T. M. (2014) · Journal of Biometrics & Biostatistics · doi:10.4172/2155-6180.1000211 · Cited by 11
Yilmaz, A., Haerri, L., Granda, M. E., Coquoz, O., Lan, Q., & Rüegg, C. (2026) · npj Breast Cancer · doi:10.1038/s41523-026-00903-6 · Cited by 10
Lung-Derived Selectins Enhance Metastatic Behavior of Triple Negative Breast Cancer Cells
Khan, S. U., Xia, Y., Goodale, D. B., Schoettle, G., & Allan, A. L. (2021) · Biomedicines · doi:10.3390/biomedicines9111580 · Cited by 10
Iron cycle disruption by heme oxygenase-1 activation leads to a reduced breast cancer cell survival
Giorgi, G., Mascaró, M., Gandini, N. A., Rabassa, M. E., Coló, G. P., Arévalo, J., Curino, A. C., Facchinetti, M. M., & Roque, M. E. (2022) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2022.166621 · Cited by 11
Greco, M. R., Bon, É., Rubino, R., Guerra, L., Bernabé‐García, M., Cannone, S., Cayuela, M. L., Ciaccia, L., Marionneau‐Lambot, S., Oullier, T., et al. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2018.10.017 · Cited by 10
Zhang, L., Pan, J., Wang, Z., Yang, C., Chen, W., Jiang, J., Zheng, Z., Jia, F., Zhang, Y., Jiang, J., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2021.788778 · Cited by 10
Self-citationYang, F., & Shao, Z.-M. (2016) · OncoTargets and Therapy · doi:10.2147/ott.s111846 · Cited by 10
Wang, H., Wang, X., & Xu, L. (2024) · World Journal of Surgical Oncology · doi:10.1186/s12957-024-03301-z · Cited by 9
Qiu, Y., Jiang, H., & Ching, W. (2020) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2020.2992605 · Cited by 9
Application of Biomarkers for the Prediction and Diagnosis of Bone Metastasis in Breast Cancer
Liu, F., Ke, J., & Song, Y. (2020) · Journal of Breast Cancer · doi:10.4048/jbc.2020.23.e65 · Cited by 8
Wang, G., Miao, C., Mo, L., Kahlert, U. D., Wu, J., Ou, M., Huang, R., Feng, R., Pang, W., & Shi, W. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1048503 · Cited by 8
Improving information retrieval in functional analysis
Rodríguez, J. C., González, G. A., Fresno, C., Llera, A. S., & Fernández, E. A. (2016) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2016.09.017 · Cited by 8
Breast Cancer Prognosis Risk Estimation Using Integrated Gene Expression and Clinical Data
Saini, A. K., Hou, J., & Zhou, W. (2014) · BioMed Research International · doi:10.1155/2014/459203 · Cited by 8
Independent Component Analysis to Remove Batch Effects from Merged Microarray Datasets
Renard, E., Branders, S., & Absil, P.-A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-43681-4_23 · Cited by 8
Collective Migration Behaviors of Human Breast Cancer Cells in 2D
Mendoz, E., & Lim, C. T. (2011) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-011-0193-8 · Cited by 8
Hydroxamic Acids: Biological Properties and Potential Uses as Therapeutic Agents
Mai, A. (2010) · Patai's chemistry of functional groups · doi:10.1002/9780470682531.pat0515 · Cited by 8
Understanding susceptibility to breast cancer metastasis: the genetic approach
Shukla, A., Alsarraj, J., & Hunter, K. W. (2014) · Breast Cancer Management · doi:10.2217/bmt.14.1 · Cited by 7
Inhibition of Cytosolic Phospholipase A2α Induces Apoptosis in Multiple Myeloma Cells
Mahammad, N., Ashcroft, F. J., Feuerherm, A. J., Elsaadi, S., Vandsemb, E. N., Børset, M., & Johansen, B. (2021) · Molecules · doi:10.3390/molecules26247447 · Cited by 7
Confounding Effects in “A Six-Gene Signature Predicting Breast Cancer Lung Metastasis”: Reply
Driouch, K., Bonin, F., Sin, S., Cizeron-Clairac, G., & Lidereau, R. (2009) · Cancer Research · doi:10.1158/0008-5472.can-09-2688 · Cited by 7
Eftimie, R., Perez, M., & Buono, P.-L. (2017) · Mathematical Biosciences · doi:10.1016/j.mbs.2017.05.003 · Cited by 6
Peixoto, A., Cotton, S., Santos, L. L., & Ferreira, J. A. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-73119-9_1 · Cited by 6
Tanaka, T., Imamura, T., Irie, A., Yoneda, M., Imamura, R., Kikuchi, K., Kitagawa, S., Kubo, T., Ogi, H., & Nakayama, H. (2022) · Oncology Letters · doi:10.3892/ol.2022.13419 · Cited by 6
Chandramouli, A., Simundza, J., Pinderhughes, A., Hiremath, M., Droguett, G., Frendewey, D. A., & Cowin, P. (2013) · Breast Cancer Research · doi:10.1186/bcr3578 · Cited by 7
Multiple-input multiple-output causal strategies for gene selection
Bontempi, G., Haibe‐Kains, B., Desmedt, C., Sotiriou, C. P., & Quackenbush, J. F. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-458 · Cited by 6
Gao, Y., Zheng, L., Zhang, J., Liu, S., Zhang, J.-Y., & Dong, S. (2020) · Brachytherapy · doi:10.1016/j.brachy.2020.09.017 · Cited by 6
Deep survival forests for extremely high censored data
Cheng, X., Wang, S., Wang, H., & Ng, S. (2022) · Applied Intelligence · doi:10.1007/s10489-022-03846-0 · Cited by 6
Translating genomics into clinical practice: Applications in lung cancer
Graham, A. J., & Potti, A. (2009) · Current Oncology Reports · doi:10.1007/s11912-009-0037-z · Cited by 6
Context-specific gene regulatory networks subdivide intrinsic subtypes of breast cancer
Nasser, S., Cunliffe, H. E., Black, M. A., & Kim, S. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-s2-s3 · Cited by 6
Chen, W., Qin, Y., Qiao, L., Liu, X., Gao, C., Li, T., Luo, Y., Li, D., Yan, H., Han, L., et al. (2025) · Science Advances · doi:10.1126/sciadv.adt3075 · Cited by 6
Heterogeneity of Breast Cancer: Gene Signatures and Beyond
Schiavon, G., Smid, M., Gupta, G. P., Redana, S., Santini, D., & Martens, J. W. M. (2011) · Humana Press eBooks · doi:10.1007/978-1-61779-358-5_2 · Cited by 5
Self-citationMarpaung, M. R. A., Khambri, D., & Asterina, A. (2021) · Jurnal Ilmu Kesehatan Indonesia · doi:10.25077/jikesi.v2i1.306 · Cited by 5
A Flexible and Robust Approach to Analyze Survival Systems in the Presence of Extreme Observations
Sadiq, M., & Mehmood, T. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/9927377 · Cited by 5
Chowdhury, N., & Sapru, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129610 · Cited by 5
Ramalho, S., Serra, K. P., Vassallo, J., Soares, F. A., Pinto, G. A., Teixeira, L. C., da Cunha, I. W., Derchain, S., & de Souza, G. (2012) · Acta Histochemica · doi:10.1016/j.acthis.2012.05.002 · Cited by 5
Simpson, P. T., Vargas, A.-C., Al‐Ejeh, F., Khanna, K. K., Chenevix‐Trench, G., & Lakhani, S. R. (2010) · Human Pathology · doi:10.1016/j.humpath.2010.07.008 · Cited by 5
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 ›
Are you an author, or do you see a problem with this page? Request a review