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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 901–1,000 of 1,007
Hua, W., Sa, K.-D., Zhang, X., Jia, L., Zhao, J., Yang, A., Zhang, R., Fan, J., & Bian, K. (2015) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2015.06.061 · Cited by 37
Boimel, P. J., Cruz, C. D., & Segall, J. E. (2011) · Genomics · doi:10.1016/j.ygeno.2011.05.011 · Cited by 37
TRADD contributes to tumour suppression by regulating ULF-dependent p19Arf ubiquitylation
Chio, I. I. C., Sasaki, M., Ghazarian, D., Moreno, J. C. A., Done, S. J., Ueda, T., Inoue, S., Chang, Y., Chen, N., & Mak, T. W. (2012) · Nature Cell Biology · doi:10.1038/ncb2496 · Cited by 41
Sahu, N., Stéphan, J.-P., Cruz, D. D., Merchant, M. A., Haley, B., Bourgon, R., Classon, M., & Settleman, J. (2016) · Nature Communications · doi:10.1038/ncomms12351 · Cited by 37
Yu, T., Cheng, H., Ding, Z., Wang, Z., Zhou, L., Zhao, P., Tan, S., Xu, X. J., Huang, X., Liu, M., et al. (2020) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2020.110762 · Cited by 37
Liu, C., Lu, M., Kuang, J., Zhu, C., Qiu, X., & Zhu, L. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01114 · Cited by 36
Wu, Y.-P., Luo, X., Zhou, Q.-Q., Gong, H.-B., Gao, H.-Y., Liu, T., Chen, J.-X., Liang, L., Kurihara, H., Li, Y.-F., et al. (2021) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2021.06.002 · Cited by 38
Elevated nuclear S100P expression is associated with poor survival in early breast cancer patients.
Maciejczyk, A., Łacko, A., Ekiert, M., Jagoda, E., Wysocka, T., Matkowski, R., Hałoń, A., Győrffy, B., Lage, H., & Surowiak, P. (2013) · PubMed · doi:10.14670/hh-28.513 · Cited by 36
Self-citationFrietze, S. E., O’Geen, H., Littlepage, L. E., Simion, C., Sweeney, C. A., Farnham, P., & Krig, S. R. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-520 · Cited by 35
MEL-18 loss mediates estrogen receptor–α downregulation and hormone independence
Lee, J., Won, H., Park, J., Kim, H., Choi, H., Shin, D., Kang, J., Woo, J. K., Oh, S.-H., Son, T., et al. (2015) · Journal of Clinical Investigation · doi:10.1172/jci73743 · Cited by 36
Hover, L. D., Young, C. D., Bhola, N. E., Wilson, A. J., Khabele, D., Hong, C. C., Moses, H. L., & Owens, P. (2015) · Cancer Letters · doi:10.1016/j.canlet.2015.07.032 · Cited by 36
Peiris‐Pagès, M., Smith, D. L., Győrffy, B., Sotgia, F., & Lisanti, M. P. (2015) · Aging · doi:10.18632/aging.100808 · Cited by 36
Self-citationBraunstein, M., Liao, L., Lyttle, N., Lobo, N. C., Taylor, K. J., Krzyzanowski, P. M., Kalatskaya, I., Yao, C. Q., Stein, L. D., Boutros, P. C., et al. (2016) · Breast Cancer Research · doi:10.1186/s13058-016-0676-6 · Cited by 36
Shao, Q., Luo, X., Yang, D., Wang, C., Cheng, Q., Xiang, T., & Ren, G. (2017) · Oncotarget · doi:10.18632/oncotarget.16072 · Cited by 36
Morita, Y., Zhang, R., Leslie, M., Adhikari, S., Hasan, N., Chervoneva, I., Rui, H., & Tanaka, T. (2017) · Oncology Letters · doi:10.3892/ol.2017.6466 · Cited by 36
Huang, W.-T., Tsai, Y.-H., Chen, S., Kuo, C.-W., Kuo, Y., Lee, K., Chen, W.-C., Wu, P. C., Chuang, C., Cheng, S. M., et al. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00902 · Cited by 36
Phillips, L., Gill, A. J., & Baxter, R. C. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.00379 · Cited by 36
Quantifying Argonaute 2 (Ago2) expression to stratify breast cancer
Casey, M., Prakash, A., Holian, E., McGuire, A., Kalinina, O., Shalaby, A., Curran, C. E., Webber, M., Callagy, G. M., Bourke, E., et al. (2019) · BMC Cancer · doi:10.1186/s12885-019-5884-x · Cited by 37
PRMT1 Is Critical for the Transcriptional Activity and the Stability of the Progesterone Receptor
Malbeteau, L., Poulard, C., Languilaire, C., Mikaélian, I., Flamant, F., Romancer, M. L., & Corbo, L. (2020) · iScience · doi:10.1016/j.isci.2020.101236 · Cited by 36
Emadi, E., Akhoundi, F., Kalantar, S. M., & Emadi‐Baygi, M. (2020) · BMC Genetics · doi:10.1186/s12863-020-00890-y · Cited by 38
Coagulation factor V is a marker of tumor-infiltrating immune cells in breast cancer
Tinholt, M., Stavik, B., Tekpli, X., Garred, Ø., Borgen, E., Kristensen, V. N., Sahlberg, K. K., Sandset, P. M., & Iversen, N. (2020) · OncoImmunology · doi:10.1080/2162402x.2020.1824644 · Cited by 36
The tissue expression of MCT3, MCT8, and MCT9 genes in women with breast cancer
Sohrabi, E., Moslemi, M., Rezaie, E., Nafissi, N., Khaledi, M., Afkhami, H., Fathi, J., & Zekri, A. (2021) · Genes & Genomics · doi:10.1007/s13258-021-01116-w · Cited by 36
Prokakis, E., Dyas, A., Grün, R., Fritzsche, S., Bedi, U., Kazerouni, Z. B., Kosinsky, R. L., Johnsen, S. A., & Wegwitz, F. (2021) · Oncogene · doi:10.1038/s41388-021-01814-5 · Cited by 35
CDT1 Is a Novel Prognostic and Predictive Biomarkers for Hepatocellular Carcinoma
Cai, C., Zhang, Y., Hu, X., Hu, W., Yang, S., Qiu, H., & Chu, T. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.721644 · Cited by 37
ZHX2 promotes HIF1α oncogenic signaling in triple-negative breast cancer
Fang, W., Liao, C., Shi, R., Simon, J. M., Ptacek, T. S., Zurlo, G., Ye, Y., Han, L., Fan, C., Bao, L., et al. (2021) · eLife · doi:10.7554/elife.70412 · Cited by 37
Ubiquitin-conjugating enzyme 2C (UBE2C) is a poor prognostic biomarker in invasive breast cancer
Kariri, Y. A., Toss, M. S., Alsaleem, M. A., Elsharawy, K. A., Joseph, C., Mongan, N. P., Green, A. R., & Rakha, E. A. (2022) · Breast Cancer Research and Treatment · doi:10.1007/s10549-022-06531-5 · Cited by 36
Identification and analysis of dysregulated fatty acid metabolism genes in breast cancer subtypes
Yousuf, U., Sofi, S., Makhdoomi, A., & Mir, M. A. (2022) · Medical Oncology · doi:10.1007/s12032-022-01861-2 · Cited by 35
ESRP1-regulated isoform switching of LRRFIP2 determines metastasis of gastric cancer
Lee, J. H., Pang, K., Kim, J., Hong, E., Lee, J., Cho, H. J., Park, J., Son, M., Park, S., Lee, M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33786-9 · Cited by 34
A Combined Shotgun and Targeted Mass Spectrometry Strategy for Breast Cancer Biomarker Discovery
Sjöström, M., Ossola, R., Breslin, T., Rinner, O., Malmström, L., Schmidt, A., Aebersold, R. H., Malmström, J. A., & Niméus, E. (2015) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00315 · Cited by 38
Low expression levels of hepsin and TMPRSS3 are associated with poor breast cancer survival
Pelkonen, M., Luostari, K., Tengström, M., Ahonen, H., Berdel, B., Kataja, V. V., Soini, Y., Kosma, V., & Mannermaa, A. (2015) · BMC Cancer · doi:10.1186/s12885-015-1440-5 · Cited by 36
Dichotomous roles for the orphan nuclear receptor NURR1 in breast cancer
Llopis, S. D., Singleton, B. A., Duplessis, T., Carrier, L., Rowan, B. G., & Williams, C. C. (2013) · BMC Cancer · doi:10.1186/1471-2407-13-139 · Cited by 36
Bisected, complex N-glycans and galectins in mouse mammary tumor progression and human breast cancer
Miwa, H. E., Koba, W. R., Fine, E. J., Giricz, O., Kenny, P. A., & Stanley, P. (2013) · Glycobiology · doi:10.1093/glycob/cwt075 · Cited by 36
Identification of vitamin D3 target genes in human breast cancer tissue
Sheng, L., Anderson, P., Turner, A. G., Pishas, K. I., Dhatrak, D., Gill, P. G., Morris, H. A., & Callen, D. F. (2015) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2015.10.012 · Cited by 36
Wu, J., Shen, S., Liu, T., Ren, X., Zhu, C., Liang, Q., Cui, X., Chen, L., Cheng, P., Cheng, W., et al. (2022) · Oncogene · doi:10.1038/s41388-022-02295-w · Cited by 36
Qayoom, H., Mehraj, U., Sofi, S., Aisha, S., Almilaibary, A., Alkhanani, M., & Mir, M. A. (2022) · Medical Oncology · doi:10.1007/s12032-022-01779-9 · Cited by 34
Transcription factor c-Jun modulates GLUT1 in glycolysis and breast cancer metastasis
Zhu, P., Liu, G., Wang, X., Lu, J., Zhou, Y., Chen, S., Gao, Y., Wang, C., Yu, J., Sun, Y., et al. (2022) · BMC Cancer · doi:10.1186/s12885-022-10393-x · Cited by 35
Couto, J., Vulin, M., Jehanno, C., Coissieux, M.-M., Hamelin, B., Schmidt, A., Ivanek, R., Sethi, A., Bräutigam, K., Frei, A., et al. (2023) · EMBO Journal · doi:10.15252/embj.2022112559 · Cited by 31
Ouderkirk, J. L., Goreczny, G. J., Chase, S. E., Tatum, A. H., Turner, C. E., & Krendel, M. (2016) · Oncotarget · doi:10.18632/oncotarget.10139 · Cited by 35
Nakakido, M., Tamura, K., Chung, S., Ueda, K., Fujii, R., Kiyotani, K., & Nakamura, Y. (2016) · International Journal of Oncology · doi:10.3892/ijo.2016.3607 · Cited by 35
The prognostic values of signal transducers activators of transcription family in ovarian cancer
Li, S., Sheng, B., Zhao, M., Shen, Q., Zhu, H., & Zhu, X. (2017) · Bioscience Reports · doi:10.1042/bsr20170650 · Cited by 35
Clinicopathological and prognostic significance of SDC1 overexpression in breast cancer
Cui, X., Jing, X., Yi, Q., Long, C., Tian, J., & Zhu, J. (2017) · Oncotarget · doi:10.18632/oncotarget.22820 · Cited by 35
Prognostic roles of signal transducers and activators of transcription family in human breast cancer
Wang, S., Yu, L., Shi, W., Li, X., & Yu, L. (2018) · Bioscience Reports · doi:10.1042/bsr20171175 · Cited by 35
miR-376a inhibits breast cancer cell progression by targeting neuropilin-1 NR
Zhang, L., Chen, Y., Wang, H., Zheng, X., Li, C., & Han, Z. (2018) · OncoTargets and Therapy · doi:10.2147/ott.s173416 · Cited by 35
Alfarsi, L. H., Ansari, R. E., Toss, M. S., Diez, M., Nolan, C. C., Ellis, I. O., Rakha, E. A., & Green, A. R. (2018) · Breast Cancer Research and Treatment · doi:10.1007/s10549-018-4978-5 · Cited by 35
LATS1 and LATS2 suppress breast cancer progression by maintaining cell identity and metabolic state
Furth, N., Pateras, I. S., Rotkopf, R., Vlachou, V., Rivkin, I., Schmitt, I., Bakaev, D., Gershoni, A., Ainbinder, E., Leshkowitz, D., et al. (2018) · Life Science Alliance · doi:10.26508/lsa.201800171 · Cited by 35
Song, J., Liu, Y., Chen, Q., Yang, J., Jiang, Z., Zhang, H., Liu, Z., & Jin, B. (2019) · Oncology Letters · doi:10.3892/ol.2019.10054 · Cited by 35
FOXA1 is Prognostic of Triple Negative Breast Cancers by Transcriptionally Suppressing SOD2 and IL6
Dai, X., Cheng, H., Chen, X., Li, T., Zhang, J., Jin, G., Cai, D., & Huang, Z. (2019) · International Journal of Biological Sciences · doi:10.7150/ijbs.31009 · Cited by 35
Peiffer, D. S., Wyatt, D. L., Zlobin, A., Piracha, A. Z., Ng, J. K., Dingwall, A. K., Albain, K. S., & Osipo, C. (2019) · Cancer Research · doi:10.1158/0008-5472.can-19-1110 · Cited by 35
Prognostic roles of MAGE family�members in breast cancer based on KM‑Plotter Data
Jia, B., Zhao, X., Wang, Y., Wang, J., Wang, Y., & Yang, Y. (2019) · Oncology Letters · doi:10.3892/ol.2019.10722 · Cited by 35
The Prognosis Of Peroxiredoxin Family In Breast Cancer
Wang, G., Zhong, W.-C., Bi, Y., Tao, S., Zhu, H. H., Zhu, H., & Xu, A. (2019) · Cancer Management and Research · doi:10.2147/cmar.s229389 · Cited by 35
FGF13 promotes metastasis of triple‐negative breast cancer
Johnstone, C. N., Pattison, A., Harrison, P. F., Powell, D., Lock, P., Ernst, M., Anderson, R. L., & Beilharz, T. H. (2020) · International Journal of Cancer · doi:10.1002/ijc.32874 · Cited by 35
Teoh, S. T., Ogrodzinski, M. P., & Lunt, S. Y. (2020) · Cancer Letters · doi:10.1016/j.canlet.2020.07.031 · Cited by 35
Pantelaiou‐Prokaki, G., Mieczkowska, I. K., Schmídt, G., Fritzsche, S., Prokakis, E., Gallwas, J. K. S., & Wegwitz, F. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01228-4 · Cited by 35
Paradoxical Roles of Mineral Dust Induced Gene on Cell Proliferation and Migration/Invasion
Yu, M., Sun, J., Thakur, C., Chen, B., Lu, Y., Zhao, H., & Chen, F. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087998 · Cited by 35
Rosas, E., Roberts, J. T., O’Neill, K. I., Christenson, J. L., Williams, M. M., Hanamura, T., Spoelstra, N. S., Vahrenkamp, J. M., Gertz, J., & Richer, J. K. (2020) · Endocrinology · doi:10.1210/endocr/bqaa226 · Cited by 35
Fang, K., Ohihoin, A. G., Liu, T., Choppavarapu, L., Nosirov, B., Wang, Q., Yu, X., Kamaraju, S., Leone, G. W., & Jin, V. X. (2024) · Genome Medicine · doi:10.1186/s13073-024-01407-3 · Cited by 35
Maspin is not required for embryonic development or tumour suppression
Teoh, S. S. Y., Vieusseux, J. L., Prakash, M. D., Berkowicz, S., Luu, J., Bird, C. H., Law, R. H. P., Rosado, C. J., Price, J. T., Whisstock, J. C., et al. (2014) · Nature Communications · doi:10.1038/ncomms4164 · Cited by 34
GREB1 Functions as a Growth Promoter and Is Modulated by IL6/STAT3 in Breast Cancer
Liu, M., Wang, G., Gomez-Fernandez, C. R., & Guo, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046410 · Cited by 34
RetractedIncreased expression of mdig predicts poorer survival of the breast cancer patients
Thakur, C., Lu, Y., Sun, J., Yu, M., Chen, B., & Chen, F. (2013) · Gene · doi:10.1016/j.gene.2013.11.031 · Cited by 34
Naringin suppresses the development of glioblastoma by inhibiting FAK activity
Li, J.-J., Dong, Y., Hao, G., Wang, B., Wang, J., Liang, Y., Liu, Y., Zhen, E., Feng, D., & Liang, G. (2016) · Journal of drug targeting · doi:10.1080/1061186x.2016.1184668 · Cited by 34
The dual role of asporin in breast cancer progression
Šimková, D., Kharaishvili, G., Kořínková, G., Oždian, T., Kleplová, T. S., Soukup, T., Křupka, M., Galandáková, A., Džubák, P., Janíková, M., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.10471 · Cited by 34
Ding, Y., Gong, C., Huang, D., Chen, R., Sui, P., Lin, K., Liang, G., Yuan, L., Xiang, H., Chen, J., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06651-x · Cited by 35
Self-citationHuang, K., Zeng, Y., Xie, Y., Huang, L., & Wu, Y. H. (2019) · Molecular Medicine Reports · doi:10.3892/mmr.2019.10100 · Cited by 34
Tung, C.-H., Kuo, L., Huang, M., Wu, Y.-Y., Tsai, Y.-T., Wu, J.-E., Hsu, K., Chen, Y., & Hong, T.-M. (2019) · Oncogene · doi:10.1038/s41388-019-1025-x · Cited by 34
Zahid, K. R., Yao, S., Khan, A. R. R., Raza, U., & Gou, D. (2019) · Frontiers in Oncology · doi:10.3389/fonc.2019.01000 · Cited by 36
Yu, F., Mu, J., Huang, M., İmani, S., Wang, Y., Lin, S., Fan, J., & Wen, Q. (2019) · Epigenomics · doi:10.2217/epi-2019-0207 · Cited by 34
Fujimoto, Y., Inoue, N., Morimoto, K., Watanabe, T., Hirota, S., Imamura, M., Matsushita, Y., Katagiri, T., Okamura, H., & Miyoshi, Y. (2019) · Cancer Science · doi:10.1111/cas.14234 · Cited by 34
Piperigkou, Z., Franchi, M., Riethmüller, C., Götte, M., & Karamanos, N. K. (2020) · Matrix Biology Plus · doi:10.1016/j.mbplus.2020.100024 · Cited by 33
RetractedHassan, N., Rutsch, N., Győrffy, B., Espinoza‐Sánchez, N. A., & Götte, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-59057-5 · Cited by 34
Self-citationRotman, J., Heeren, A. M., Gassama, A. A., Lougheed, S. M., Pocorni, N., Stam, A. G. M., Bleeker, M. C. G., Zijlmans, H. J. M. A. A., Mom, C. H., Kenter, G. G., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-3826 · Cited by 35
HOTAIR promotes paclitaxel resistance by regulating CHEK1 in ovarian cancer
Jiang, J., Wang, S., Wang, Z., Cai, J., Han, L., Xie, L., Han, Q., Wang, W., Zhang, Y., He, X., et al. (2020) · Cancer Chemotherapy and Pharmacology · doi:10.1007/s00280-020-04120-1 · Cited by 34
Azimi, I., Robitaille, M., Armitage, K., So, C. L., Milevskiy, M. J. G., Northwood, K. S., Lim, H. F., Thompson, E. W., Roberts‐Thomson, S. J., & Monteith, G. R. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21249417 · Cited by 36
Zhang, W., Li, L., Cai, L., Liang, Y., Xu, J., Liu, Y., Zhou, L., Ding, C., Zhang, Y., Zhao, H., et al. (2021) · Cell Death and Differentiation · doi:10.1038/s41418-020-00724-5 · Cited by 32
CST in maintaining genome stability: Beyond telomeres
Lyu, X., Sang, P. B., & Chai, W. (2021) · DNA repair · doi:10.1016/j.dnarep.2021.103104 · Cited by 33
Expression status and prognostic value of the perilipin family of genes in breast cancer.
Zhang, X., Su, L., & Sun, K. (2021) · PubMed Central · Cited by 33
HMGA2 Supports Cancer Hallmarks in Triple-Negative Breast Cancer
Mansoori, B., Terp, M. G., Mohammadi, A., Pedersen, C. B., Ditzel, H. J., Baradaran, B., & Gjerstorff, M. F. (2021) · Cancers · doi:10.3390/cancers13205197 · Cited by 34
Mehraj, U., Qayoom, H., Shafi, S., Farhana, P. S., Asdaq, S. M. B., & Mir, M. A. (2022) · Anti-Cancer Agents in Medicinal Chemistry · doi:10.2174/1871520622666220419135547 · Cited by 34
Ying, B., Xu, W., Nie, Y. G., & Li, Y. (2022) · Disease Markers · doi:10.1155/2022/8446857 · Cited by 34
Studies of postpartum mammary gland involution reveal novel pro-metastatic mechanisms
Wallace, T. R., Tarullo, S. E., Crump, L. S., & Lyons, T. R. (2019) · Journal of Cancer Metastasis and Treatment · doi:10.20517/2394-4722.2019.01 · Cited by 31
Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis
Wang, Q., Wang, F., Lv, J., Xin, J., Xie, L., Zhu, W., Tang, Y., Li, Y., Zhao, X., Wang, Y., et al. (2019) · Oncology Letters · doi:10.3892/ol.2019.10440 · Cited by 33
cSurvival: a web resource for biomarker interactions in cancer outcomes and in cell lines
Cheng, X., Liu, Y., Wang, J., Chen, Y., Robertson, A. G., Zhang, X., Jones, S. J. M., & Taubert, S. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac090 · Cited by 36
French, J. D., Australian Ovarian Cancer Study Group, Study, A. C., Johnatty, S. E., Lu, Y., Beesley, J., Gao, B., Kalimutho, M., Henderson, M. J., Russell, A. J., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.7047 · Cited by 31
Blockade of extracellular NM23 or its endothelial target slows breast cancer growth and metastasis
Yokdang, N., Nordmeier, S., Speirs, K., Burkin, H. R., & Buxton, I. L. O. (2015) · Integrative Cancer Science and Therapeutics · doi:10.15761/icst.1000139 · Cited by 33
The prognostic roles of ALDH1 isoenzymes in gastric cancer
Wang, Z., Li, K., Guo, X., Li, X., Bu, Y., Bai, X., Zheng, L., & Huang, Y. (2016) · OncoTargets and Therapy · doi:10.2147/ott.s102314 · Cited by 33
Fejzo, M. S., Anderson, L. A., Chen, H., Guandique, E., Kalous, O., Conklin, D. F., & Slamon, D. J. (2017) · Genes Chromosomes and Cancer · doi:10.1002/gcc.22459 · Cited by 33
BASP1 interacts with oestrogen receptor α and modifies the tamoxifen response
Marsh, L. A., Carrera, S., Shandilya, J., Heesom, K. J., Davidson, A. D., Medler, K. F., & Roberts, S. G. E. (2017) · Cell Death and Disease · doi:10.1038/cddis.2017.179 · Cited by 32
Bondy‐Chorney, E., Baldwin, R. M., Didillon, A., Chabot, B., Jasmin, B. J., & Côté, J. (2017) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2017.07.008 · Cited by 33
Jonasson, E., Ghannoum, S., Persson, E., Karlsson, J. W., Kroneis, T., Larsson, E., Landberg, G., & Ståhlberg, A. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00500 · Cited by 33
Unraveling FATP1, regulated by ER-β, as a targeted breast cancer innovative therapy
Mendes, C., Lopes‐Coelho, F., Ramos, C., Martins, F., Santos, I. P., Rodrigues, A., SILVA, F. A. B. N. D., André, S., & Serpa, J. (2019) · Scientific Reports · doi:10.1038/s41598-019-50531-3 · Cited by 35
McDermott, M. S. J., Sharko, A. C., Munie, J., Kassler, S., Melendez, T., Lim, C., & Broude, E. V. (2020) · Cells · doi:10.3390/cells9030638 · Cited by 33
Pratt, S. J. P., Lee, R., Chang, K. T., Hernández‐Ochoa, E. O., Annis, D. A., Ory, E. C., Thompson, K. N., Bailey, P. C., Mathias, T. J., Ju, J. A., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2009495117 · Cited by 33
The epithelial sodium channel has a role in breast cancer cell proliferation
Ware, A., Harris, J. J., Slatter, T. L., Cunliffe, H. E., & McDonald, F. J. (2021) · Breast Cancer Research and Treatment · doi:10.1007/s10549-021-06133-7 · Cited by 33
Pateras, I. S., Williams, C., Gianniou, D. D., Margetis, A. T., Avgeris, M., Rousakis, P., Legaki, A., Mirtschink, P., Zhang, W., Panoutsopoulou, K., et al. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-03935-9 · Cited by 33
Lin, I., Chen, D.-T., Chang, Y.-F., Lee, Y.-L., Su, C.-H., Cheng, C., Tsai, Y.-C., Ng, S.-C., Chen, H.-T., Lee, M., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118453 · Cited by 33
Ogura, T., Azuma, K., Sato, J., Kinowaki, K., Takayama, K., Takeiwa, T., Kawabata, H., & Inoue, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111505 · Cited by 32
Antitumoral Activity of a CDK9 PROTAC Compound in HER2-Positive Breast Cancer
Noblejas‐López, M. D. M., Gandullo‐Sánchez, L., Galán‐Moya, E. M., López‐Rosa, R., Tébar-García, D., Nieto‐Jiménez, C., Sango, M. G., Burgos, M., Pandiella, A., & Ocaña, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23105476 · Cited by 35
Loss of Dickkopf 3 Promotes the Tumorigenesis of Basal Breast Cancer
Lorsy, E., Topuz, A. S., Geisler, C., Stahl, S., Garczyk, S., von Stillfried, S. F., Hoß, M., Gluz, O., Hartmann, A., Knüchel, R., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160077 · Cited by 32
Zhang, Y., Yang, C., Zhang, M., Liu, H., Gong, C., Zhang, J., Xu, S., Zou, J., Kai, Y., & Li, Y. (2017) · Oncotarget · doi:10.18632/oncotarget.22491 · Cited by 32
Prognostic Roles of mRNA Expression of S100 in Non-Small-Cell Lung Cancer
Liu, Y., Cui, J., Tang, Y., Huang, L., Zhou, C., & Xu, J. (2018) · BioMed Research International · doi:10.1155/2018/9815806 · Cited by 32
Minchin, R. F., & Butcher, N. J. (2018) · BMC Genomics · doi:10.1186/s12864-018-4894-4 · Cited by 30
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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