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An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients
Open accessAbstract
Validating prognostic or predictive candidate genes in appropriately powered breast cancer cohorts are of utmost interest. Our aim was to develop an online tool to draw survival plots, which can be used to assess the relevance of the expression levels of various genes on the clinical outcome both in untreated and treated breast cancer patients. A background database was established using gene expression data and survival information of 1,809 patients downloaded from GEO (Affymetrix HGU133A and HGU133+2 microarrays). The median relapse free survival is 6.43 years, 968/1,231 patients are estrogen-receptor (ER) positive, and 190/1,369 are lymph-node positive. After quality control and normalization only probes present on both Affymetrix platforms were retained (n = 22,277). In order to analyze the prognostic value of a particular gene, the cohorts are divided into two groups according to the median (or upper/lower quartile) expression of the gene. The two groups can be compared in terms of relapse free survival, overall survival, and distant metastasis free survival. A survival curve is displayed, and the hazard ratio with 95% confidence intervals and logrank P value are calculated and displayed. Additionally, three subgroups of patients can be assessed: systematically untreated patients, endocrine-treated ER positive patients, and patients with a distribution of clinical characteristics representative of those seen in general clinical practice in the US. Web address: www.kmplot.com . We used this integrative data analysis tool to confirm the prognostic power of the proliferation-related genes TOP2A and TOP2B, MKI67, CCND2, CCND3, CCNDE2, as well as CDKN1A, and TK2. We also validated the capability of microarrays to determine estrogen receptor status in 1,231 patients. The tool is highly valuable for the preliminary assessment of biomarkers, especially for research groups with limited bioinformatic resources.
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“The top 23 differentially expressed genes in CIN-high cells (referred to as CIN signature) predicted distant-metastasis-free survival (DMFS) in a meta-analysis16 as well as a validation cohort17 of patients with breast cancer, irrespective of tumor subtype, grade, or lymph node status”
From Chromosomal instability drives metastasis through a cytosolic DNA response (2018) · cites this paper as [16]
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Cites
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1992) · Springer series in statistics · doi:10.1007/978-1-4612-4380-9_25 · Cited by 45,239
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association · doi:10.1080/01621459.1958.10501452 · Cited by 39,158
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
affy—analysis of Affymetrix GeneChip data at the probe level
Gautier, L., Cope, L., Bolstad, B. M., & Irizarry, R. A. (2004) · Bioinformatics · doi:10.1093/bioinformatics/btg405 · Cited by 5,221
Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer
Wang, Y., Klijn, J. G. M., Zhang, Y., Sieuwerts, A. M., Look, M. P., Yang, F., Talantov, D., Timmermans, M. A. M., Gelder, M. E. M., Yu, J. X., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)17947-1 · Cited by 2,831
Paik, S., Tang, G., Shak, S., Kim, C., Baker, J. B., Kim, W., Cronin, M. T., Baehner, F. L., Watson, D., Bryant, J., et al. (2006) · Journal of Clinical Oncology · doi:10.1200/jco.2005.04.7985 · Cited by 2,597
Harris, L. N., Fritsche, H. A., Mennel, R. G., Norton, L., Ravdin, P. M., Taube, S. E., Somerfield, M. R., Hayes, D. F., & Bast, R. C. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2007.14.2364 · Cited by 2,234
MAQC Consortium, Shi, L., Shi, L., Reid, L. H., Jones, W. D., Shippy, R., Warrington, J. A., Baker, S. C., Collins, P. J., de Longueville, F., et al. (2006) · Nature Biotechnology · doi:10.1038/nbt1239 · Cited by 2,126
Self-citationSotiriou, C. P., Wirapati, P., Loi, S., Harris, A. L., Fox, S., Smeds, J., Nordgren, H., Farmer, P. J., Praz, V., Haibe‐Kains, B., et al. (2006) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djj052 · Cited by 2,050
Genes that mediate breast cancer metastasis to the brain
Bos, P. D., Zhang, X. H.-F., Nadal, C., Shu, W., Gomis, R. R., Nguyen, D. X., Minn, A. J., van de Vijver, M. J., Gerald, W. L., Foekens, J. A., et al. (2009) · Nature · doi:10.1038/nature08021 · Cited by 1,863
Cited by
Sorted by citations
Items 801–900 of 1,007
Cathepsin V suppresses GATA3 protein expression in luminal A breast cancer
Sereesongsaeng, N., McDowell, S. H., Burrows, J. F., Scott, C. J., & Burden, R. E. (2020) · Breast Cancer Research · doi:10.1186/s13058-020-01376-6 · Cited by 43
Targeting Adenosine with Adenosine Deaminase 2 to Inhibit Growth of Solid Tumors
Wang, L., Londono, L. M., Cowell, J., Saatci, Ö., Aras, M., Ersan, P. G., Serra, S., Pei, H., Clift, R., Zhao, Q., et al. (2021) · Cancer Research · doi:10.1158/0008-5472.can-21-0340 · Cited by 43
Liu, F., Wu, Y., Mi, Y., Gu, L., Sang, M., & Geng, C. (2019) · Pathology - Research and Practice · doi:10.1016/j.prp.2019.152436 · Cited by 41
Mehraj, U., Alshehri, B., Khan, A. A., Bhat, A. A., Bagga, P., Wani, N. A., & Mir, M. A. (2022) · Clinical Breast Cancer · doi:10.1016/j.clbc.2022.04.008 · Cited by 40
Tang, W., Hu, Y., Tu, K.-H., Gong, Z., Zhu, M., Yang, T., Sarwar, A., Dai, B., Zhang, D., Zhan, Y., et al. (2023) · Journal of Advanced Research · doi:10.1016/j.jare.2023.05.012 · Cited by 41
SynTarget: an online tool to test the synergetic effect of genes on survival outcome in cancer
Amelio, I., Tsvetkov, P. O., Knight, R. A., Lisitsa, A., Melino, G., & Antonov, A. V. (2016) · Cell Death and Differentiation · doi:10.1038/cdd.2016.12 · Cited by 41
Yang, Z., Xu, S., Jin, P., Yang, X., Li, X., Wan, D., Zhang, T., Long, S., Xiao, W., Chen, G., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.8726 · Cited by 42
CSF1 is involved in breast cancer progression through inducing monocyte differentiation and homing
Ding, J., Guo, C., Hu, P., Chen, J., Liu, Q., Wu, X., Cao, Y., & Wu, J. (2016) · International Journal of Oncology · doi:10.3892/ijo.2016.3680 · Cited by 41
SORBS1 suppresses tumor metastasis and improves the sensitivity of cancer to chemotherapy drug
Song, L., Chang, R., Dai, C., Wu, Y., Guo, J., Qi, M., Zhou, W., & Zhan, L. (2016) · Oncotarget · doi:10.18632/oncotarget.12851 · Cited by 40
Follistatin is a metastasis suppressor in a mouse model of HER2-positive breast cancer
Seachrist, D. D., Sizemore, S. T., Johnson, E., Abdul‐Karim, F. W., Weber-Bonk, K. L., & Keri, R. A. (2017) · Breast Cancer Research · doi:10.1186/s13058-017-0857-y · Cited by 41
SOX11 promotes invasive growth and ductal carcinoma in situ progression
Oliemuller, E., Kogata, N., Bland, P. J., Kriplani, D., Daley, F. M., Haider, S. A., Shah, V., Sawyer, E. J., & Howard, B. A. (2017) · The Journal of Pathology · doi:10.1002/path.4939 · Cited by 43
Dinami, R., Buemi, V., Sestito, R., Zappone, A., Ciani, Y., Mano, M., Petti, E., Sacconi, A., Blandino, G., Giacca, M., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.21180 · Cited by 42
Ubiquitin ligase RNF8 suppresses Notch signaling to regulate mammary development and tumorigenesis
Li, L., Guturi, K. K. N., Gautreau, B., Patel, P. S., Saad, A., Morii, M., Mateo, F., Palomero, L., Barbour, H., Gómez, A., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci120401 · Cited by 41
Lingrand, M., Lalonde, S., Jutras-Carignan, A., Bergeron, K., Rassart, É., & Mounier, C. (2020) · Breast Cancer · doi:10.1007/s12282-020-01053-8 · Cited by 42
METTL3 regulates the malignancy of cervical cancer via post-transcriptional regulation of RAB2B
Hu, Y., Li, Y., Huang, Y., Jin, Z., Wang, C., Wang, H., & Xu, J. (2020) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2020.173134 · Cited by 41
miR-16-5p/PDK4-Mediated Metabolic Reprogramming Is Involved in Chemoresistance of Cervical Cancer
Zhao, Z., Ji, M., Wang, Q., He, N., & Li, Y. (2020) · Molecular Therapy — Oncolytics · doi:10.1016/j.omto.2020.05.008 · Cited by 41
Conti, L., Bolli, E., Lorenzo, A. D., Franceschi, V., Macchi, F., Riccardo, F., Ruiu, R., Russo, L., Quaglino, E., Donofrío, G., et al. (2020) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-20-0082 · Cited by 42
Fahim, S. A., Abdullah, M. S., Espinoza‐Sánchez, N. A., Hassan, H., Ibrahim, A. M., Ahmed, S. H., Shakir, G., Badawy, M. A., Zakhary, N. I., Greve, B., et al. (2020) · Biomolecules · doi:10.3390/biom10071059 · Cited by 41
Shin, E. M., Huynh, V. T., Neja, S. A., Liu, C. Y., Raju, A., Tan, K. Y. S., Tan, N. S., Gunaratne, J., Bi, X., Iyer, L. M., et al. (2021) · Science Advances · doi:10.1126/sciadv.abe2470 · Cited by 43
Mosharaf, M. P., Reza, M. S., Kibria, M. K., Ahmed, F. F., Kabir, M. H., Hasan, S., & Mollah, M. N. H. (2022) · Scientific Reports · doi:10.1038/s41598-022-08073-8 · Cited by 41
Liu, C.-Y., Huang, T.-T., Chu, P.-Y., Huang, C.-T., Lee, C.-H., Wang, W.-L., Lau, K.-Y., Tsai, W.-C., Chao, T.-I., Su, J.-C., et al. (2017) · Experimental & Molecular Medicine · doi:10.1038/emm.2017.114 · Cited by 40
Sun, Y., Zhang, Y., Ren, S., Li, X., Yang, P., Zhu, J., Lin, L., Wang, Z., & Jia, Y. (2020) · International Immunopharmacology · doi:10.1016/j.intimp.2020.106454 · Cited by 41
Ma, J., Chen, C., Liu, S., Ji, J., Wu, D., Huang, P. F., Wei, D., Fan, Z., & Ren, L. (2022) · Cancer Gene Therapy · doi:10.1038/s41417-022-00473-2 · Cited by 40
ERRγ target genes are poor prognostic factors in Tamoxifen-treated breast cancer
Madhavan, S., Gusev, Y., Singh, S., & Riggins, R. B. (2015) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-015-0150-9 · Cited by 42
Leyh, B., Dittmer, A., Lange, T., Martens, J. W. M., & Dittmer, J. (2015) · Oncotarget · doi:10.18632/oncotarget.5624 · Cited by 40
MST3 promotes proliferation and tumorigenicity through the VAV2/Rac1 signal axis in breast cancer
Cho, C.-Y., Lee, K., Chen, W.-C., Wang, C., Chang, Y.-S., Huang, H.-L., Hsu, H., Yen, M., Lai, M., & Lai, M.-D. (2016) · Oncotarget · doi:10.18632/oncotarget.7542 · Cited by 40
Liu, C., Huang, T., Huang, C., Hu, M.-H., Wang, D., Wang, W., Tsai, W.-C., Lee, C., Lau, K.-Y., Yang, H., et al. (2016) · European Journal of Cancer · doi:10.1016/j.ejca.2016.11.012 · Cited by 40
Pinto, J. A., Araujo, J. M., Cardenas, N. K., Morante, Z., Doimi, F. D., Vidaurre, T., Balko, J. M., & Gómez, H. (2016) · npj Genomic Medicine · doi:10.1038/npjgenmed.2015.15 · Cited by 40
The CCR2 3′UTR functions as a competing endogenous RNA to inhibit breast cancer metastasis
Hu, J., Li, X., Guo, X., Guo, Q., Xiang, C., Zhang, Z., Xing, Y., Xi, T., & Zheng, L. (2017) · Journal of Cell Science · doi:10.1242/jcs.202127 · Cited by 40
The Complex Subtype-Dependent Role of Connexin 43 (GJA1) in Breast Cancer
Busby, M., Hallett, M. T., & Plante, I. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19030693 · Cited by 43
Distinct lung cancer subtypes associate to distinct drivers of tumor progression
Relli, V., Trerotola, M., Guerra, E., & Alberti, S. (2018) · Oncotarget · doi:10.18632/oncotarget.26217 · Cited by 40
Argonaute 2 drives miR-145-5p-dependent gene expression program in breast cancer cells
Bellissimo, T., Tito, C., Ganci, F., Sacconi, A., Masciarelli, S., Martino, G. D., Porta, N., Cirenza, M., Sorci, M., Angelis, L. D., et al. (2019) · Cell Death and Disease · doi:10.1038/s41419-018-1267-5 · Cited by 40
Saby, C., Collin, G., Sinane, M., Buache, É., Gulick, L. V., Saltel, F., Maquoi, E., & Morjani, H. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00462 · Cited by 39
The mitochondrial deoxyguanosine kinase is required for cancer cell stemness in lung adenocarcinoma
Lin, S., Huang, C., Sun, J., Bollt, O., Wang, X., Martine, E., Kang, J., Taylor, M. D., Fang, B., Singh, P. K., et al. (2019) · EMBO Molecular Medicine · doi:10.15252/emmm.201910849 · Cited by 38
Pan, T., Zhou, D., Shi, Z., Qiu, Y., Zhou, G., Liu, J., Yang, Q., Cao, L., & Zhang, J. (2019) · Cancer Letters · doi:10.1016/j.canlet.2019.11.003 · Cited by 40
Chiang, Y., Chen, H.-Y., Huang, K., Lin, P., & Hsia, S. (2019) · Antioxidants · doi:10.3390/antiox8120625 · Cited by 39
Davis, M. B., Martini, R. N., Newman, L. A., Elemento, O., White, J. A., Verma, A., Datta, I., Adrianto, I., Chen, Y., Gardner, K. L., et al. (2020) · Cancers · doi:10.3390/cancers12051220 · Cited by 40
Walsh, C. A., Akrap, N., Garré, E., Magnusson, Y., Harrison, H., Andersson, D., Jonasson, E., Rafnsdóttir, S., Choudhry, H., Buffa, F. M., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0236187 · Cited by 41
Hormonal Regulation of Semaphorin 7a in ER+ Breast Cancer Drives Therapeutic Resistance
Crump, L. S., Wyatt, G. L., Rutherford, T. R., Richer, J. K., Porter, W. W., & Lyons, T. R. (2020) · Cancer Research · doi:10.1158/0008-5472.can-20-1601 · Cited by 40
NEFM DNA methylation correlates with immune infiltration and survival in breast cancer
Li, D., Zhao, W., Zhang, X., Lv, H., Li, C., & Sun, L. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01096-4 · Cited by 42
Li, Y., Wang, W., Wu, X., Ling, S., Ma, Y., & Huang, P. (2021) · Annals of Translational Medicine · doi:10.21037/atm-21-2247 · Cited by 40
Quercetin Impairs HuR-Driven Progression and Migration of Triple Negative Breast Cancer (TNBC) Cells
Umar, S. M., Patra, S., Kashyap, A., R, A. D. J., Kumar, L., & Prasad, C. P. (2021) · Nutrition and Cancer · doi:10.1080/01635581.2021.1952628 · Cited by 40
Zhang, F., Liu, Q., Ganesan, K., Kewu, Z., Shen, J., Fang, G., Luo, X., & Chen, J. (2021) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2021/5187569 · Cited by 40
CIP4 promotes lung adenocarcinoma metastasis and is associated with poor prognosis
Truesdell, P. F., Ahn, J. C., Chander, H., Meens, J., Watt, K., Yang, X., & Craig, A. W. (2014) · Oncogene · doi:10.1038/onc.2014.280 · Cited by 40
Yamashita, N., Morimoto, Y., Fushimi, A., Ahmad, R., Bhattacharya, A., Daimon, T., Haratake, N., Inoue, Y., Ishikawa, S., Yamamoto, M., et al. (2022) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-22-0772 · Cited by 39
Sun, R., Lei, C., Xu, Z., Gu, X., Huang, L., Chen, L., Tan, Y., Peng, M., Yaddanapudi, K., Siskind, L. J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45084-7 · Cited by 43
Singh, A., & Chaudhary, R. (2025) · International Immunopharmacology · doi:10.1016/j.intimp.2025.114616 · Cited by 42
New network topology approaches reveal differential correlation patterns in breast cancer
Bockmayr, M. L., Klauschen, F., Győrffy, B., Denkert, C., & Budczies, J. (2013) · BMC Systems Biology · doi:10.1186/1752-0509-7-78 · Cited by 39
Self-citationMEK-dependent IL-8 induction regulates the invasiveness of triple-negative breast cancer cells
Kim, S., Lee, J., Jeon, M., Lee, J. E., & Nam, S. J. (2015) · Tumor Biology · doi:10.1007/s13277-015-4345-7 · Cited by 39
The voltage gated Ca2+-channel Cav3.2 and therapeutic responses in breast cancer
Pera, E., Kaemmerer, E., Milevskiy, M. J. G., Yapa, K. T. D. S., O’Donnell, J. S., Brown, M. A., Simpson, F., Peters, A. A., Roberts‐Thomson, S. J., & Monteith, G. R. (2016) · Cancer Cell International · doi:10.1186/s12935-016-0299-0 · Cited by 39
Lo, P., Lee, J. S., Liang, X., & Sukumar, S. V. (2016) · Cellular Signalling · doi:10.1016/j.cellsig.2016.06.021 · Cited by 39
Keratin-associated protein 5-5 controls cytoskeletal function and cancer cell vascular invasion
Berens, E. B., Sharif, G. M., Schmidt, M. O., Yan, G., Shuptrine, C. W., Weiner, L. M., Glasgow, E. F., Riegel, A. T., & Wellstein, A. (2016) · Oncogene · doi:10.1038/onc.2016.234 · Cited by 39
CGI-99 promotes breast cancer metastasis via autocrine interleukin-6 signaling
Lin, C., Liao, W., Jian, Y., Peng, Y., Zhang, X., Ye, L., Cui, Y.-L., Wang, B., Wu, X., Xiong, Z., et al. (2017) · Oncogene · doi:10.1038/onc.2016.525 · Cited by 39
Integrin-uPAR signaling leads to FRA-1 phosphorylation and enhanced breast cancer invasion
Annis, M. G., Ouellet, V., Rennhack, J. P., L’Espérance, S., Rancourt, C., Mes‐Masson, A., Andrechek, E. R., & Siegel, P. M. (2018) · Breast Cancer Research · doi:10.1186/s13058-018-0936-8 · Cited by 39
DNA methylation signatures of Prostate Cancer in peripheral T-cells
Mehdi, A., Cheishvili, D., Arakelian, A., Bismar, T., Szyf, M., & Rabbani, S. (2018) · BMC Cancer · doi:10.1186/s12885-020-07078-8 · Cited by 18
MORC4 is a novel breast cancer oncogene regulated by miR‐193b‐3p
Yang, Z., Zhuang, Q., Hu, G., & Geng, S. (2018) · Journal of Cellular Biochemistry · doi:10.1002/jcb.27751 · Cited by 39
Grade-specific diagnostic and prognostic biomarkers in breast cancer
Jayanthi, V. S. P. K. S. A., Das, A. B., & Saxena, U. (2019) · Genomics · doi:10.1016/j.ygeno.2019.03.001 · Cited by 39
Identification of an AP1-ZFP36 Regulatory Network Associated with Breast Cancer Prognosis
Canzoneri, R., Naipauer, J., Stedile, M., Rodríguez‐Pena, A., Lacunza, E., Gandini, N. A., Curino, A. C., Facchinetti, M. M., Coso, O. A., Kordon, E. C., et al. (2020) · Journal of Mammary Gland Biology and Neoplasia · doi:10.1007/s10911-020-09448-1 · Cited by 38
Gibbs, Z. A., Reza, L. C., Cheng, C.-C., Westcott, J. M., McGlynn, K., & Whitehurst, A. W. (2020) · eLife · doi:10.7554/elife.57679 · Cited by 38
Liu, C., Cheng, S., Chen, M., Lin, C., Shan-na, C., Kuo, Y.-H., & Chang, Y. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.621944 · Cited by 40
Expression and prognostic values of ARID family members in breast cancer
Zhang, J., Hou, S., You, Z., Li, G., Xu, S., Li, X., Zhang, X., Lei, B., & Pang, D. (2021) · Aging · doi:10.18632/aging.202489 · Cited by 39
Zinc finger protein E4F1 cooperates with PARP-1 and BRG1 to promote DNA double-strand break repair
Moison, C., Chagraoui, J., Caron, M., Gagné, J., Coulombe, Y., Poirier, G. G., Masson, J., & Sauvageau, G. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2019408118 · Cited by 39
Sheng, X., Dai, H., Du, Y., Peng, J., Sha, R., Yang, F., Zhou, L., Lin, Y., Xu, S., Wu, Y., et al. (2021) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-021-02015-4 · Cited by 39
DNA methylation signatures of breast cancer in peripheral T-cells
Parashar, S., Cheishvili, D., Mahmood, N., Arakelian, A., Tanvir, I., Khan, H. A., Kremer, R. B., Mihalcioiu, C. L. D., Moshe Szyf, A., & Rabbani, S. A. (2018) · BMC Cancer · doi:10.1186/s12885-018-4482-7 · Cited by 39
MEK5-ERK5 pathway associates with poor survival of breast cancer patients after systemic treatments
Miranda, M. S., Rozali, E. N., Khanna, K. K., & Al‐Ejeh, F. (2015) · Oncoscience · doi:10.18632/oncoscience.135 · Cited by 39
You, Q., Xu, D., & Guo, H. (2015) · Drug Design Development and Therapy · doi:10.2147/dddt.s87197 · Cited by 38
Global characterization of signalling networks associated with tamoxifen resistance in breast cancer
Browne, B. C., Hochgräfe, F., Wu, J., Millar, E. K. A., Barraclough, J., Stone, A. M., McCloy, R. A., Lee, C. S., Roberts, C., Ali, N., et al. (2013) · FEBS Journal · doi:10.1111/febs.12441 · Cited by 38
Redmond, A. M., Byrne, C., Bane, F., Brown, G. D., Tibbitts, P., O’Brien, K., Hill, A. D. K., Carroll, J. S., & Young, L. S. (2014) · Oncogene · doi:10.1038/onc.2014.323 · Cited by 38
Acid ceramidase is associated with an improved prognosis in both DCIS and invasive breast cancer
Sänger, N., Ruckhäberle, E., Győrffy, B., Engels, K., Heinrich, T. M., Fehm, T. N., Graf, A., Holtrich, U., Becker, S., & Karn, T. (2014) · Molecular Oncology · doi:10.1016/j.molonc.2014.07.016 · Cited by 38
Self-citationCañas, A., Lopez-Sanchez, L. M., Peñarando, J., Valverde, A. M., Conde, F., Hernandez, V. A., Fuentes, E., López-Pedrera, C., de la Haba-Rodríguez, J., Aranda, E., et al. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2016.02.005 · Cited by 38
miR-200b induces cell cycle arrest and represses cell growth in esophageal squamous cell carcinoma
Zhang, H., Alshareef, A., Wu, C., Jiao, J.-W., Sorensen, P. H. B., Lai, R. L., Xu, L., & Li, E. (2016) · Carcinogenesis · doi:10.1093/carcin/bgw079 · Cited by 38
Towards a transcriptome-based theranostic platform for unfavorable breast cancer phenotypes
Dobroff, A. S., D’Angelo, S., Eckhardt, B. L., Ferrara, F., Staquicini, D. I., Cardó‐Vila, M., Staquicini, F. I., Nunes, D. N., Kim, K.-S., Driessen, W. H. P., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1615288113 · Cited by 38
Mining heterogeneous causal effects for personalized cancer treatment
Zhang, W., Le, T. D., Liu, L., Zhou, Z., & Li, J. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx174 · Cited by 36
Disruption of IFN-I Signaling Promotes HER2/Neu Tumor Progression and Breast Cancer Stem Cells
Castiello, L., Sestili, P., Schiavoni, G., Dattilo, R., Monque, D. M., Ciaffoni, F., Iezzi, M., Lamolinara, A., Sistigu, A., Moschella, F., et al. (2018) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-17-0675 · Cited by 38
Lin, C., Beattie, A., Baradaran, B., Dray, E. V., & Duijf, P. H. G. (2018) · Scientific Reports · doi:10.1038/s41598-018-32272-x · Cited by 38
Regulation of RAB22A by mir-193b inhibits breast cancer growth and metastasis mediated by exosomes
Sun, L., He, M., Xu, N., Xu, D., Ben‐David, Y., Yang, Z., & Li, Y. (2018) · International Journal of Oncology · doi:10.3892/ijo.2018.4571 · Cited by 38
New Insight on Solute Carrier Family 27 Member 6 (SLC27A6) in Tumoral and Non-Tumoral Breast Cells
Yen, M., Chou, S., Kan, J., Kuo, P., Hou, M., & Hsu, Y. (2019) · International Journal of Medical Sciences · doi:10.7150/ijms.29946 · Cited by 38
Grainyhead-like Protein 2: The Emerging Role in Hormone-Dependent Cancers and Epigenetics
Reese, R., Harrison, M. M., & Alarid, E. T. (2019) · Endocrinology · doi:10.1210/en.2019-00213 · Cited by 38
Pérez‐Peña, J., Fekete, J. T., Páez, R., Baliu‐Piqué, M., García-Sáenz, J. Á., García‐Barberán, V., Manzano, A., Pérez‐Segura, P., Esparı́s-Ogando, A., Pandiella, A., et al. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02802 · Cited by 39
Self-citationPu, Q., Lv, Y., Dong, K., Geng, W., & Gao, H. (2020) · BMC Cancer · doi:10.1186/s12885-020-07069-9 · Cited by 40
Collective invasion induced by an autocrine purinergic loop through connexin-43 hemichannels
Khalil, A., Ilina, O., Vasaturo, A., Venhuizen, J., Vullings, M., Venhuizen, V., Bilos, A., Figdor, C. G., Span, P. N., & Friedl, P. (2020) · The Journal of Cell Biology · doi:10.1083/jcb.201911120 · Cited by 39
Identification of spliceosome components pivotal to breast cancer survival
An, J., Luo, Z., An, W., Cao, D., Ma, J., & Liu, Z. (2020) · RNA Biology · doi:10.1080/15476286.2020.1822636 · Cited by 38
Li, H., Chen, S., Chen, Z., Zhou, B., Zheng, Y., & Shen, L. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.704853 · Cited by 38
Zheng, X., Guo, J. P., Yang, H., Kanai, M., He, L., Li, Y., Koomen, J. M., Minton, S., Gao, M., Ren, X. B., et al. (2013) · Oncogene · doi:10.1038/onc.2013.444 · Cited by 39
RetractedBugide, S., David, D., Nair, S. A., Kannan, N., Samanthapudi, V. S. K., Prabhakar, J., & Manavathi, B. (2014) · Oncogene · doi:10.1038/onc.2014.389 · Cited by 38
Li, X. L., Lu, X., Parvathaneni, S., Bilke, S., Zhang, H., Thangavel, S., Vindigni, A., Hara, T., Zhu, Y. J., Meltzer, P. S., et al. (2014) · Cell Cycle · doi:10.4161/cc.29419 · Cited by 37
Gromova, I., Gromov, P., Honma, N., Kumar, S., Rimm, D. L., Talman, M., Wielenga, V. T., & Moreira, J. M. A. (2015) · Molecular Oncology · doi:10.1016/j.molonc.2015.05.003 · Cited by 36
The transcription levels and prognostic values of seven proteasome alpha subunits in human cancers
Li, Y., Huang, J., Sun, J., Xiang, S., Yang, D., Ying, X., Lu, M., Li, H., & Ren, G. (2016) · Oncotarget · doi:10.18632/oncotarget.13885 · Cited by 37
The miR-29 transcriptome in endocrine-sensitive and resistant breast cancer cells
Muluhngwi, P., Alizadeh‐Rad, N., Vittitow, S. L., Kalbfleisch, T., & Klinge, C. M. (2017) · Scientific Reports · doi:10.1038/s41598-017-05727-w · Cited by 37
PRR11 and SKA2 gene pair is overexpressed and regulated by p53 in breast cancer
Wang, Y., Zhang, C., Mai, L., Niu, Y., Wang, Y., & Bu, Y. (2019) · BMB Reports · doi:10.5483/bmbrep.2019.52.2.207 · Cited by 37
Zhao, S., Wagn, S., Zhao, Z., & Li, W. (2019) · Oncology Letters · doi:10.3892/ol.2019.10802 · Cited by 37
Brown, J. M., Wasson, M. D., & Marcato, P. (2020) · Cells · doi:10.3390/cells9030763 · Cited by 39
Amjad, E., Asnaashari, S., Sokouti, B., & Dastmalchi, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-67643-w · Cited by 36
Vargas, J. E., Puga, R., Lenz, G., Trindade, C., & Filippi‐Chiela, E. C. (2020) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2020/5432651 · Cited by 37
Epigenetic modification and a role for the E3 ligase RNF40 in cancer development and metastasis
Fu, J., Liao, L., Balaji, K. S., Wei, C., Kim, J., & Peng, J. (2020) · Oncogene · doi:10.1038/s41388-020-01556-w · Cited by 40
Oo, K. K., Kamolhan, T., Soni, A., Thongchot, S., Mitrpant, C., O-Charoenrat, P., Thuwajit, C., & Thuwajit, P. (2020) · BMC Cancer · doi:10.1186/s12885-020-07761-w · Cited by 39
Li, H., Wang, C., Lan, L., Behrens, A., Tomaschko, M., Ruiz, J., Su, Q., Zhao, G., Yuan, C., Xiao, X., et al. (2021) · Aging · doi:10.18632/aging.202440 · Cited by 37
Provance, O. K., Geanes, E. S., Lui, A. J., Roy, A., Holloran, S. M., Gunewardena, S., Hagan, C. R., Weir, S. J., & Lewis-Wambi, J. S. (2021) · Cancer Letters · doi:10.1016/j.canlet.2021.05.006 · Cited by 37
Lin, T., Zhang, E., Mai, P., Zhang, Y.-Z., Chen, X. '., & Peng, L.-S. (2021) · Bioscience Reports · doi:10.1042/bsr20204312 · Cited by 37
Tang, Y. H., Rockstroh, A., Sokolowski, K. A., Lynam, L.-R., Lehman, M., Thompson, E. W., Gregory, P. A., Nelson, C. C., Volpert, M., & Hollier, B. G. (2022) · Breast Cancer Research · doi:10.1186/s13058-022-01501-7 · Cited by 39
Metadata
- Authors
- Györffy, B., Lanczky, A., Eklund, A. C., Denkert, C., Budczies, J., Li, Q., & Szallasi, Z.
- Affiliations
- Technical University of Denmark (DK)
- Charité – Universitätsmedizin Berlin (DE)
- Venue
- Breast Cancer Research and Treatment
- Published
- 2009-12-18
- Volume
- 123
- Issue
- 3
- Pages
- 725-731
- ISSN
- 0167-6806 (ISSN-L)
- 1573-7217
- OpenAlex
- W2085934079
- Cited by
- 4,169
- References
- 34
- Citations by year
- 2026: 52 · 2025: 53 · 2024: 119 · 2023: 203 · 2022: 723 · 2021: 1329 · 2020: 434 · 2019: 306 · 2018: 241 · 2017: 192 · 2016: 187 · 2015: 120 · 2014: 100 · 2013: 59 · 2012: 26
- FWCI
- 5.15
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Breast Cancer Research and Treatment (publishedVersion)
- PubMed (publishedVersion)
- Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
- HAL (submittedVersion, other-oa)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
- Semmelweis University Repository (Semmelweis University) (submittedVersion)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- breast cancer prognosis, prognostic gene expression, gene expression microarrays, relapse-free survival, overall survival, distant metastasis, estrogen receptor status, endocrine therapy, TOP2A, TOP2B, MKI67, cell cycle genes, p21, thymidine kinase 2, biomarker validation
- MeSH terms
- Adult, Aged, Breast Neoplasms, Computer Graphics, Female, Genetic Markers, Humans, Lymphatic Metastasis, Middle Aged, Neoplasm Staging, Online Systems, Predictive Value of Tests, Prognosis, Receptors, Estrogen, Time Factors, Biomarkers, Tumor, Reproducibility of Results, Gene Expression Regulation, Neoplastic, Disease-Free Survival, Internet, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Kaplan-Meier Estimate
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