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An Iron Regulatory Gene Signature Predicts Outcome in Breast Cancer
Open accessPublished version of a preprint
Abstract
Changes in iron regulation characterize the malignant state. However, the pathways that effect these changes and their specific impact on prognosis remain poorly understood. We capitalized on publicly available microarray datasets comprising 674 breast cancer cases to systematically investigate how expression of genes related to iron metabolism is linked to breast cancer prognosis. Of 61 genes involved in iron regulation, 49% were statistically significantly associated with distant metastasis-free survival. Cases were divided into test and training cohorts, and the supervised principal component method was used to stratify cases into risk groups. Optimal risk stratification was achieved with a model comprising 16 genes, which we term the iron regulatory gene signature (IRGS). Multivariable analysis revealed that the IRGS contributes information not captured by conventional prognostic indicators (HR = 1.61; 95% confidence interval: 1.16-2.24; P = 0.004). The IRGS successfully stratified homogeneously treated patients, including ER+ patients treated with tamoxifen monotherapy, both with (P = 0.006) and without (P = 0.03) lymph node metastases. To test whether multiple pathways were embedded within the IRGS, we evaluated the performance of two gene dyads with known roles in iron biology in ER+ patients treated with tamoxifen monotherapy (n = 371). For both dyads, gene combinations that minimized intracellular iron content [anti-import: TFRC(Low)/HFE(High); or pro-export: SLC40A1 (ferroportin)(High)/HAMP(Low)] were associated with favorable prognosis (P < 0.005). Although the clinical utility of the IRGS will require further evaluation, its ability to both identify high-risk patients within traditionally low-risk groups and low-risk patients within high-risk groups has the potential to affect therapeutic decision making.
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“Intriguingly, a significant association between almost 50% of genes involved in iron metabolism and breast cancer prognosis has been observed (Miller et al., 2011).”
From The Role of Iron Regulation in Immunometabolism and Immune-Related Disease (2019) · cites this paper as Miller et al., 2011
In the citing paper
“Interestingly, large amounts of hepcidin are found both within the tumor microenvironment and systemically in cancer patients [73,74,75,76].”
From Iron as a central player and promising target in cancer progression (2019) · cites this paper as [74]
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Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Sørlie, T., Perou, C. M., Tibshirani, R. J., Aas, T., Geisler, S. B., Johnsen, H., Hastie, T. J., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191367098 · Cited by 11,506
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
Summaries of Affymetrix GeneChip probe level data
Irizarry, R. A. (2003) · Nucleic Acids Research · doi:10.1093/nar/gng015 · Cited by 4,837 · cited 1×
“For all cases, raw data (CEL files) were quantile-normalized within cohorts by computing Robust Multichip Average (RMA) expression values [Bioconductor "Affy Package (R)"] as previously described (12).”
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Parker, J. S., Mullins, M., Cheang, M. C. U., Leung, S. C. Y., Voduc, D. K., Vickery, T. L., Davies, S. R., Fauron, C. M. ‐., He, X., Hu, Z., et al. (2009) · Journal of Clinical Oncology · doi:10.1200/jco.2008.18.1370 · Cited by 4,818 · cited 1×
“That the IRGS significantly risk-stratified LumA but not LumB cases, suggests that an integrated prognostic model combining aspects of the IRGS and luminal subtypes (or the subtype-derived Risk of Relapse (ROR) score) (34, 35) could provide additive prognostic power to outcome prediction.”
Hepcidin Regulates Cellular Iron Efflux by Binding to Ferroportin and Inducing Its Internalization
Nemeth, E., Tuttle, M. S., Powelson, J., Vaughn, M. B., Donovan, A., Ward, D. M., Ganz, T., & Kaplan, J. (2004) · Science · doi:10.1126/science.1104742 · Cited by 4,803 · cited 1×
“Ferroportin is an iron efflux pump and hepcidin is a peptide hormone that binds to ferroportin and triggers its degradation (11).”
The molecular portraits of breast tumors are conserved across microarray platforms
Hu, Z., Fan, C., Oh, D. S., Marron, J. S., He, X., Qaqish, B. F., Livasy, C., Carey, L., Reynolds, E. R., Dressler, L. G., et al. (2006) · BMC Genomics · doi:10.1186/1471-2164-7-96 · Cited by 1,587
Concordance among Gene-Expression–Based Predictors for Breast Cancer
Fan, C., Oh, D. S., Wessels, L. F. A., Weigelt, B., Nuyten, D. S. A., Nobel, A. B., Veer, L. J. V., & Perou, C. M. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa052933 · Cited by 1,356 · cited 1×
“Intrinsic molecular subtypes of breast cancer were assigned to samples using the Single Sample Predictor (SSP) algorithm as described (13) and utilized by Fan and colleagues (14).”
Anders, C. K., Hsu, D. S., Broadwater, G., Acharya, C. R., Foekens, J. A., Zhang, Y., Wang, Y., Marcom, P. K., Marks, J. R., Febbo, P. G., et al. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.14.2471 · Cited by 925 · cited 1×
“It has been reported that breast cancer in younger women represents a unique biological entity, with increased expression of genes related to hypoxia and other signaling pathways (33).”
Feder, J. N., Penny, D. M., Irrinki, A., Lee, V. K., Lebrón, J. A., Watson, N., Tsuchihashi, Z., Sigal, E., Bjorkman, P. J., & Schatzman, R. C. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.4.1472 · Cited by 827 · cited 7×
“org Cancer Res; 71(21) November 1, 2011 OF3”
Influential
Cited by
Sorted by citations
Iron and cancer: more ore to be mined
Torti, S. V., & Torti, F. M. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3495 · Cited by 1,621
Regulators of Iron Homeostasis: New Players in Metabolism, Cell Death, and Disease
Bogdan, A. R., Miyazawa, M., Hashimoto, K., & Tsuji, Y. (2015) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2015.11.012 · Cited by 907
“, lower intracellular iron) experienced significantly more-favorable prognoses [55].”
BackgroundFerroptosis is induced following siramesine and lapatinib treatment of breast cancer cells
Ma, S., Henson, E. S., Chen, Y., & Gibson, S. B. (2016) · Cell Death and Disease · doi:10.1038/cddis.2016.208 · Cited by 634
“However in breast cancer cells, down regulation of ferroportin promotes breast cancer growth and is correlated with poor prognosis.(39) This suggests iron regulation is altered in breast cancer and could be a target for cancer therapy.”
BackgroundIron addiction: a novel therapeutic target in ovarian cancer
Basuli, D., Tesfay, L., Deng, Z., Paul, B., Yamamoto, Y., Ning, G., Xian, W., McKeon, F., Lynch, M. L., Crum, C. P., et al. (2017) · Oncogene · doi:10.1038/onc.2017.11 · Cited by 469
“An iron acquisition phenotype has now been reported in a number of cancers: breast(34, 35), glioblastoma(36), prostate(37), and others(11).”
BackgroundTorti, S. V., Manz, D. H., Paul, B. T., Blanchette-Farra, N., & Torti, F. M. (2018) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-082117-051732 · Cited by 426
Mitochondria and Iron: current questions
Paul, B. T., Manz, D. H., Torti, F. M., & Torti, S. V. (2016) · Expert Review of Hematology · doi:10.1080/17474086.2016.1268047 · Cited by 445
“S cluster biogenesis and mitochondrial iron trafficking, were among 16 genes identified as an Iron Regulatory Gene Signature [166].”
BackgroundA guide to plasma membrane solute carrier proteins
Pizzagalli, M. D., Bensimon, A., & Superti‐Furga, G. (2020) · FEBS Journal · doi:10.1111/febs.15531 · Cited by 413
Transferrin receptor 1 in cancer: a new sight for cancer therapy.
Shen, Y., Li, X., Dong, D., Zhang, B., Xue, Y., & Shang, P. (2018) · Europe PMC (PubMed Central) · Cited by 357
Targeting iron metabolism in drug discovery and delivery
Crielaard, B. J., Lammers, T., & Rivella, S. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.248 · Cited by 352
The Role of Iron Regulation in Immunometabolism and Immune-Related Disease
Cronin, S. J. F., Woolf, C. J., Weiss, G., & Penninger, J. M. (2019) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2019.00116 · Cited by 299
“Intriguingly, a significant association between almost 50% of genes involved in ironmetabolism and breast cancer prognosis has been observed (Miller et al., 2011).”
BackgroundWang, Y., Lei, Y., Ding, J. P., & Chen, Y. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms20010095 · Cited by 301
Iron as a central player and promising target in cancer progression
Jung, M., Mertens, C., Tomat, E., & Brüne, B. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20020273 · Cited by 268
Chen, Z., Zhang, D., Yue, F., Zheng, M., Kovačević, Ž., & Richardson, D. R. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.350470 · Cited by 248
The significance of ferritin in cancer: Anti-oxidation, inflammation and tumorigenesis
Alkhateeb, A. A., & Connor, J. R. (2013) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2013.07.002 · Cited by 250
Yu, H., Yang, C., Lei, J., Guo, S., Chen, R., Li, K., Qu, F., Tao, K. X., Fu, Y., Luo, F., et al. (2019) · Oncology Reports · doi:10.3892/or.2019.7189 · Cited by 225
“A study by Miller et al revealed that an iron-regulatory gene signature predicted outcomes in breast cancer (34).”
BackgroundFerroptosis‐Enhanced Cancer Immunity by a Ferrocene‐Appended Iridium(III) Diphosphine Complex
Wang, W., Ling, Y., Zhong, Y., Li, Z., Tan, C., & Mao, Z. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202115247 · Cited by 211
Novel Chelators for Cancer Treatment: Where Are We Now?
Merlot, A. M., Kalinowski, D. S., & Richardson, D. R. (2012) · Antioxidants and Redox Signaling · doi:10.1089/ars.2012.4540 · Cited by 195
“TfR1, and low levels of HFE (hemochromatosis gene), a negative regulator of TfR1 and hepcidin, producing a ‘‘high intracellular iron’’ phenotype, were associated with a poorer prognosis in breast cancer (199).”
Torti, S. V., & Torti, F. M. (2020) · Cancer Research · doi:10.1158/0008-5472.can-20-2017 · Cited by 183
“The observation that expression of ferroportin and TFR1 predict survival of patients with breast cancer (57) and that disrupted regulation of these pathways is associated with poorer survival of patients with prostate cancer (55) implies a role for iron in human metastasis, because mortality from these cancers is prim…”
BackgroundA Systems Biology Approach to Iron Metabolism
Chifman, J., Laubenbacher, R., & Torti, S. V. (2014) · Advances in experimental medicine and biology · doi:10.1007/978-1-4939-2095-2_10 · Cited by 189
“Subsequent work determined that elevated TfR1 and reduced HFE (which would also be expected to elevate iron in tumor tissue) similarly predict poor survival in breast cancer patients [82].”
BackgroundA promising new approach to cancer therapy: Targeting iron metabolism in cancer stem cells
El-Hout, M., Santos, L. D., Hamaï, A., & Mehrpour, M. (2018) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2018.07.009 · Cited by 173
Torti, S. V., & Torti, F. M. (2020) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2020.100860 · Cited by 153
Self-citationIron in the Tumor Microenvironment-Connecting the Dots
Pfeifhofer-Obermair, C., Tymoszuk, P., Petzer, V., Weiss, G., & Nairz, M. (2018) · Frontiers in Oncology · doi:10.3389/fonc.2018.00549 · Cited by 151
A reactivity-based probe of the intracellular labile ferrous iron pool
Spangler, B., Morgan, C. W., Fontaine, S. D., Wal, M. N. V., Chang, C. J., Wells, J. A., & Renslo, A. R. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2116 · Cited by 151
Mirzaei, S., Mohammadi, A. T., Gholami, M. H., Hashemi, F., Zarrabi, A., Zabolian, A., Hushmandi, K., Makvandi, P., Samec, M., Líšková, A., et al. (2021) · Pharmacological Research · doi:10.1016/j.phrs.2021.105575 · Cited by 153
Iron metabolism and its contribution to cancer (Review)
Chen, Y., Fan, Z., Yang, Y., & Gu, C. (2019) · International Journal of Oncology · doi:10.3892/ijo.2019.4720 · Cited by 146
“Iron-sulfur cluster biogenesis and mitochondrial iron transport are complex, and includes 16 genes, including SFXN1 and SFXN5 (121).”
BackgroundIRP2 Regulates Breast Tumor Growth
Wang, W., Deng, Z., Hatcher, H., Miller, L. D., Di, X., Tesfay, L., Sui, G., D'Agostino, R. B., Torti, F. M., & Torti, S. V. (2013) · Cancer Research · doi:10.1158/0008-5472.can-13-1224 · Cited by 139
“Decreases in iron efflux and increases in iron influx both play a role in the increased accumulation of iron in malignant breast tissue (12, 25).”
InfluentialDEAD-box helicase DP103 defines metastatic potential of human breast cancers
Shin, E. M., Hay, H. S., Lee, M. H., Goh, J. N., Tan, T. Z., Sen, Y. P., Lim, S. W., Yousef, E. M., Ong, H. T., Thike, A. A., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci73451 · Cited by 132
“The normalized microarray data set and associated clinical annotations were described previously (93).”
Disordered hepcidin–ferroportin signaling promotes breast cancer growth
Zhang, S., Chen, Y., Guo, W., Yuan, L., Zhang, D., Xu, Y., Nemeth, E., Ganz, T., & Liu, S. (2014) · Cellular Signalling · doi:10.1016/j.cellsig.2014.07.029 · Cited by 132
Wang, Y., Zhang, J., Su, Y., Shen, Y., Jiang, D., Hou, Y., Geng, M., Ding, J., & Chen, Y. (2017) · Nature Communications · doi:10.1038/s41467-017-00350-9 · Cited by 116
Emerging role of ferroptosis in breast cancer: New dawn for overcoming tumor progression
Sui, S., Xu, S., & Pang, D. (2021) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.107992 · Cited by 117
Iron homeostasis in breast cancer
Marques, O., da Silva, B. M., Porto, G., & Lopes, C. (2014) · Cancer Letters · doi:10.1016/j.canlet.2014.01.029 · Cited by 116
Grünewald, T. G. P., Bach, H., Cossarizza, A., & Matsumoto, I. (2012) · Biology of the Cell · doi:10.1111/boc.201200027 · Cited by 108
“However, in Norwegian and French Caucasians common polymorphisms of STEAP4 are only correlated to a minor extent with the risk of metabolic syndrome and obesity (Miot et al., 2010; Wangensteen et al., 2011), but are more closely related to insulin sensitivity and fat intake (Miot et al., 2010).”
BackgroundRegulation of iron homeostasis by the p53-ISCU pathway
Funauchi, Y., Tanikawa, C., Lo, P. H. Y., Mori, J., Daigo, Y., Takano, A., Miyagi, Y., Okawa, A., Nakamura, Y., & Matsuda, K. (2015) · Scientific Reports · doi:10.1038/srep16497 · Cited by 109
Rychtarcikova, Z., Lettlova, S., Tomkova, V., Korenkova, V., Langerova, L., Simonova, E., Zjablovskaja, P., Alberich-Jorda, M., Neuzil, J., & Truksa, J. (2017) · Oncotarget · doi:10.18632/oncotarget.14093 · Cited by 100
“have shown that loss of the iron excretory genes and also upregulation of the iron uptake machinery impacts the prognosis and can delineate patients that would respond well in the group of hard-totreat individuals and vice versa [49].”
BackgroundInfluentialDecreased Ferroportin Promotes Myeloma Cell Growth and Osteoclast Differentiation
Gu, Z., Wang, H., Xia, J., Yang, Y., Jin, Z., Xu, H., Shi, J., Domenico, I. D., Tricot, G. J. K., & Zhan, F. (2015) · Cancer Research · doi:10.1158/0008-5472.can-14-3804 · Cited by 107
“Of the 61 signature genes related to iron metabolism (31) (131 probe sets), we identified 29 genes significantly dysregulated by comparison of NPC versus MM samples (Table S1; p < 0.”
BackgroundCellular Iron Metabolism in Prognosis and Therapy of Breast Cancer
Torti, S. V., & Torti, F. M. (2013) · Critical Reviews™ in Oncogenesis · doi:10.1615/critrevoncog.2013007784 · Cited by 95
Local iron homeostasis in the breast ductal carcinoma microenvironment
Marques, O., Porto, G., Rêma, A., Faria, F., Cruz Paula, A., Gomez-Lazaro, M., Silva, P., Martins da Silva, B., & Lopes, C. (2016) · BMC Cancer · doi:10.1186/s12885-016-2228-y · Cited by 90
Zhang, Y., Xia, M., Zhou, Z., Hu, X., Wang, J., Zhang, M., Li, Y., Sun, L., Chen, F., & Yu, H. (2021) · International Journal of Nanomedicine · doi:10.2147/ijn.s282489 · Cited by 90
Ferroptosis in viral infection: the unexplored possibility
Wang, M., Banda, J., Jin, N., Du, S., & Li, C. (2021) · Acta Pharmacologica Sinica · doi:10.1038/s41401-021-00814-1 · Cited by 92
“Iron is exported out of the cell via ferroportin (FPT), an iron efflux pump that can oxidize Fe to Fe [42].”
BackgroundGreene, C. J., Attwood, K., Sharma, N. J., Gross, K. W., Smith, G. J., Xu, B., & Kauffman, E. C. (2017) · Oncotarget · doi:10.18632/oncotarget.22323 · Cited by 87
Kong, Y., Hu, L., Lu, K., Wang, Y., Xie, Y., Gao, L., Yang, G., Xie, B., He, W., Chen, G., et al. (2019) · Cell Death and Disease · doi:10.1038/s41419-019-1854-0 · Cited by 85
Macrophage-derived lipocalin-2 transports iron in the tumor microenvironment
Mertens, C., Mora, J., Ören, B., Grein, S., Winslow, S., Scholich, K., Weigert, A., Malmström, P., Forsare, C., Fernö, M., et al. (2018) · OncoImmunology · doi:10.1080/2162402x.2017.1408751 · Cited by 85
“lular storage of iron in order to support their enhanced metabolism,(6) thereby developing a more aggressive phenotype.(7)”
BackgroundDysregulation of Iron Metabolism in Cholangiocarcinoma Stem-like Cells
Raggi, C., Gammella, E., Correnti, M., Buratti, P., Forti, E., Andersen, J. B., Alpini, G. D., Glaser, S. S., Alvaro, D., Invernizzi, P., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-17804-1 · Cited by 87
An important role of the hepcidin–ferroportin signaling in affecting tumor growth and metastasis
Guo, W., Zhang, S., Chen, Y., Zhang, D., Yuan, L., Cong, H., & Liu, S. (2015) · Acta Biochimica et Biophysica Sinica · doi:10.1093/abbs/gmv063 · Cited by 84
Mertens, C., Akam, E. A., Rehwald, C., Brüne, B., Tomat, E., & Jung, M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0166164 · Cited by 83
Iron metabolism: a double-edged sword in the resistance of glioblastoma to therapies
Legendre, C., & Garcion, E. (2015) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2015.03.008 · Cited by 78
Chekhun, V. F., Lukianova, N. Y., BURLAKA, A. P., Bezdieniezhnykh, N., Shpyleva, S., Tryndyak, V., Beland, F. A., & Pogribny, I. P. (2013) · International Journal of Oncology · doi:10.3892/ijo.2013.2063 · Cited by 78
Fouani, L., Menezes, S. V., Paulson, M., Richardson, D. R., & Kovačević, Ž. (2016) · Pharmacological Research · doi:10.1016/j.phrs.2016.12.001 · Cited by 74
Iron: Effect of Overload and Deficiency
Hider, R. C., & Kong, X. (2013) · Metal ions in life sciences · doi:10.1007/978-94-007-7500-8_8 · Cited by 78
Bordini, J., Morisi, F., Elia, A. R., Santambrogio, P., Pagani, A., Cucchiara, V., Ghia, P., Bellone, M., Briganti, A., Camaschella, C., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-3182 · Cited by 71
“Iron homeostasis has been shown to play a role in prostate cancer onset and progression (4), an event observed in other tumors, like breast cancer and multiple myeloma (5, 6).”
BackgroundWu, J., Bao, L., Zhang, Z., & Yi, X. (2017) · Oncotarget · doi:10.18632/oncotarget.19548 · Cited by 71
“Furthermore, abnormal iron metabolism is also associated with cancer development [13].”
BackgroundMethodEndocrine therapy resistance in estrogen receptor (ER)-positive breast cancer
Marchi, T. D., Foekens, J. A., Umar, A., & Martens, J. W. M. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.05.012 · Cited by 69
Lelièvre, P., Sancey, L., Coll, J., Deniaud, A., & Busser, B. (2020) · Cancers · doi:10.3390/cancers12123524 · Cited by 69
Prognostic Significance in Breast Cancer of a Gene Signature Capturing Stromal PDGF Signaling
Frings, O., Augsten, M., Tobin, N. P., Carlson, J. W., Paulsson, J., Peña, C., Olsson, E., Veerla, S., Bergh, J. C. S., Östman, A., et al. (2013) · American Journal Of Pathology · doi:10.1016/j.ajpath.2013.02.018 · Cited by 67
Gámez‐Pozo, A., Berges‐Soria, J., Arevalillo, J. M., Nanni, P., López‐Vacas, R., Navarro, H., Grossmann, J., Castañeda, C. A., Maı́n, P., Díaz‐Almirón, M., et al. (2015) · Cancer Research · doi:10.1158/0008-5472.can-14-1937 · Cited by 64
“Among them, seven were identified as differentially expressed by SAM analyses.”
InfluentialGPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs
Arefin, A. S., Riveros, C., Berretta, R. E., & Moscato, P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044000 · Cited by 66
“These results indicate that, for those tumors that may relapse (and for which a different genetic signature may need to be found), the joint expression of (ARF1) [37] or Breast Cancer Anti-estrogen Resistance 1 (BCAR1) [38] and Ferroportin (SLC40A1)[39–42] may be associated to the time to relapse.”
BackgroundResultChitambar, C. R., & Antholine, W. E. (2012) · Antioxidants and Redox Signaling · doi:10.1089/ars.2012.4880 · Cited by 65
“These investigators demonstrated that increased serum levels of hepcidin and decreased ferroportin in breast cancers were associated with a more aggressive clinical behavior (increased metastases and decreased survival) when compared with breast cancers lacking these features (94, 104).”
BackgroundCurrent understandings and clinical translation of nanomedicines for breast cancer therapy
Jiang, Y., Jiang, Z., Wang, M., & Ma, L. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.114034 · Cited by 67
Lipocalin-2 and iron trafficking in the tumor microenvironment
Jung, M., Mertens, C., Bauer, R., Rehwald, C., & Brüne, B. (2017) · Pharmacological Research · doi:10.1016/j.phrs.2017.03.018 · Cited by 63
Linking Cancer Metabolic Dysfunction and Genetic Instability through the Lens of Iron Metabolism
Petronek, M. S., Spitz, D. R., Buettner, G. R., & Allen, B. G. (2019) · Cancers · doi:10.3390/cancers11081077 · Cited by 66
“Among the 16 genes identified in the IRGS predictive of breast cancer progression, mitochondrial proteins involved included ISCU, MFRN-1 (SLC25A37), SFXN1, SFXN5 [64].”
BackgroundInfluentialSun, J., Zhang, N., Xu, R.-C., Zhang, G., Liu, Z., Abuduwaili, W., Wang, F., Yu, X., Shi, X., Song, G., et al. (2021) · Journal of Translational Medicine · doi:10.1186/s12967-021-03034-7 · Cited by 60
“Both a low iron uptake (TFRClowHFEhigh) and a high iron efflux (SLC40A1highhepdicinlow) profile confer a favorable prognosis of patients with breast cancer [35].”
BackgroundClassifying Ten Types of Major Cancers Based on Reverse Phase Protein Array Profiles
Zhang, P., Chen, L., Huang, T., Zhang, N., Kong, X., & Cai, Y. (2015) · PLoS ONE · doi:10.1371/journal.pone.0123147 · Cited by 60
Horniblow, R. D., Bedford, M., Hollingworth, R., Evans, S. C., Sutton, E., Lal, N., Beggs, A. D., Iqbal, T. H., & Tselepis, C. (2017) · Cancer Science · doi:10.1111/cas.13234 · Cited by 60
Chen, Y., Zhang, Z., Yang, K., Du, J., Xu, Y., & Liu, S. (2014) · Oncogene · doi:10.1038/onc.2014.310 · Cited by 59
The Regulation of SOX7 and Its Tumor Suppressive Role in Breast Cancer
Stovall, D. B., Wan, M., Miller, L. D., Cao, P. D., Maglic, D., Zhang, Q., Stampfer, M. R., Liu, W., Xu, J., & Sui, G. (2013) · American Journal Of Pathology · doi:10.1016/j.ajpath.2013.07.025 · Cited by 59
“To examine the clinical relevance of this discovery, we analyzed SOX7 expression in an international metacohort (BrCa759) that consisted of six microarrays with data from 759 breast cancer patients.(33) The SOX7 intensity detected by the two probes 224013_s_at and 228698_at in these arrays was highly correlated (Pears…”
MethodHeng, B., BILGIN, A. A. B., Lovejoy, D. B., Tan, V. X., Milioli, H. H., Gluch, L., Bustamante, S., Sabaretnam, T., Moscato, P., Lim, C. K., et al. (2020) · Breast Cancer Research · doi:10.1186/s13058-020-01351-1 · Cited by 61
Iron homeostasis and anemia markers in early breast cancer
Lamy, P., Durigova, A., & Jacot, W. (2014) · Clinica Chimica Acta · doi:10.1016/j.cca.2014.04.011 · Cited by 60
Pogribny, I. P., Tryndyak, V., Pogribna, M., Shpyleva, S., Surratt, G., da Costa, G. G., & Beland, F. A. (2013) · International Journal of Oncology · doi:10.3892/ijo.2013.1855 · Cited by 57
Deng, Z., Manz, D. H., Torti, S. V., & Torti, F. M. (2017) · Oncotarget · doi:10.18632/oncotarget.19288 · Cited by 58
“com/oncotarget metastasis-free survival in breast cancer [20].”
Disordered signaling governing ferroportin transcription favors breast cancer growth
Chen, Y., Zhang, S., Wang, X., Guo, W., Wang, L., Zhang, D., Yuan, L., Zhang, Z., Xu, Y., & Liu, S. (2014) · Cellular Signalling · doi:10.1016/j.cellsig.2014.11.002 · Cited by 54
Functional proteomics outlines the complexity of breast cancer molecular subtypes
Gámez‐Pozo, A., Trilla‐Fuertes, L., Berges‐Soria, J., Selevsek, N., López‐Vacas, R., Díaz‐Almirón, M., Nanni, P., Arevalillo, J. M., Navarro, H., Grossmann, J., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-10493-w · Cited by 53
Iron overload and altered iron metabolism in ovarian cancer
Rockfield, S., Raffel, J., Mehta, R., Rehman, N., & Nanjundan, M. (2017) · Biological Chemistry · doi:10.1515/hsz-2016-0336 · Cited by 54
“, 2005) and changes in iron metabolism are a property of tumors (Miller et al., 2011).”
InfluentialChen, C., Wang, S., & Liu, P. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20194952 · Cited by 49
Iron metabolism, ferroptosis, and lncRNA in cancer: knowns and unknowns
Qu, L., He, X., Tang, Q., Xiao, F., Liu, J., & Lin, A. (2022) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2200194 · Cited by 48
Zhang, W., Yao, W., Yan, Q., Ma, F., Shi, X., Zhao, Y., Peng, Y., Wang, J., & Jiang, B. (2013) · Oncology Reports · doi:10.3892/or.2013.2828 · Cited by 45
Thielmann, C. M., da Silva, M. C., Muley, T., Meister, M. A., Herpel, E., & Muckenthaler, M. U. (2019) · Scientific Reports · doi:10.1038/s41598-019-47833-x · Cited by 44
Rehwald, C., Schnetz, M., Urbschat, A., Mertens, C., Meier, J. K., Bauer, R., Baer, P. C., Winslow, S., Roos, F. C., Zwicker, K., et al. (2019) · British Journal of Cancer · doi:10.1038/s41416-019-0655-7 · Cited by 44
Iron-Bound Lipocalin-2 Protects Renal Cell Carcinoma from Ferroptosis
Meier, J. K., Schnetz, M., Beck, S., Schmid, T., Dominguez, M., Kalinovic, S., Daiber, A., Brüne, B., & Jung, M. (2021) · Metabolites · doi:10.3390/metabo11050329 · Cited by 45
“Tumor cells adopt an iron-retaining phenotype [18], thereby maintaining a delicate balance of metabolically required iron and cytotoxic effects of excessive iron.”
BackgroundFerroptosis‐Enhanced Cancer Immunity by a Ferrocene‐Appended Iridium(III) Diphosphine Complex
Wang, W., Ling, Y., Zhong, Y., Li, Z., Tan, C., & Mao, Z. (2021) · Angewandte Chemie · doi:10.1002/ange.202115247 · Cited by 42
Barra, J., Crosbourne, I., Roberge, C. L., Ramos, R. B., Warren, J., Matteson, K., Wang, L., Jourd’heuil, F. L., Borisov, S. M., Bresnahan, E. R., et al. (2024) · Oncogene · doi:10.1038/s41388-023-02933-x · Cited by 48
“Fluorescence dequenching of RDA and mean intensity of FerroOrange, MitoSOX red, or TMRM was analyzed in 40 cells per condition using ImageJ software (NIH).”
Iron Chelators with Topoisomerase-Inhibitory Activity and Their Anticancer Applications
Rao, V. A. (2013) · Antioxidants & Redox Signaling · doi:10.1089/ars.2012.4877 · Cited by 37
“For example, an iron regulatory gene signature has been suggested to predict outcomes in breast cancer patients (170).”
BackgroundBalachandran, V. P., Arora, A., Gönen, M., Ito, H., Turcotte, S., Shia, J., Viale, A. J., Snoeren, N., van Hooff, S. R., Rinkes, I. H. M. B., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-1071 · Cited by 38
“successful identification of prognostic gene signatures using the SPCA method(23-25), we chose to employ this mathematical approach to gene selection.”
Spangler, B., Fontaine, S. D., Shi, Y. H., Sambucetti, L. C., Mattis, A. N., Hann, B. C., Wells, J. A., & Renslo, A. R. (2016) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b01470 · Cited by 39
DCYTB is a predictor of outcome in breast cancer that functions via iron-independent mechanisms
Lemler, D. J., Lynch, M. L., Tesfay, L., Deng, Z., Paul, B. T., Wang, X., Hegde, P., Manz, D. H., Torti, S. V., & Torti, F. M. (2017) · Breast Cancer Research · doi:10.1186/s13058-017-0814-9 · Cited by 38
“Discussion DCYTB was identified as one of 16 genes comprising an iron regulatory gene signature (IRGS) that is predictive of breast cancer patient survival [32].”
BackgroundMethodInfluentialMulens‐Arias, V., Rojas, J. M., & Barber, D. F. (2020) · Nanomaterials · doi:10.3390/nano10050837 · Cited by 39
NGAL as a Potential Target in Tumor Microenvironment
Crescenzi, E., Leonardi, A., & Pacifico, F. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222212333 · Cited by 34
“Consequently, iron-dependent genes like transferrin receptor and ferritin are massively up-regulated in neoplastic cells so much so that their altered expression represents a marker of poor prognosis for patients suffering from different tumors [68], such as colon carcinoma [69], breast cancer [70], and oral squamous…”
BackgroundTargeting Cellular Iron Homeostasis with Ironomycin in Diffuse Large B-cell Lymphoma
Devin, J., Cañeque, T., Lin, Y., Mondoulet, L., Veyrune, J., Abouladzé, M., Paco, E. G. D., Gadacha, O. K., Cartron, G., Pasero, P., et al. (2022) · Cancer Research · doi:10.1158/0008-5472.can-21-0218 · Cited by 35
Elevation in Inflammatory Serum Biomarkers Predicts Response to Trastuzumab-Containing Therapy
Alkhateeb, A. A., Leitzel, K., Ali, S. M., Campbell‐Baird, C., Evans, M., Fuchs, E., Köstler, W. J., Lipton, A., & Connor, J. R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051379 · Cited by 35
“Recently, the ferritin receptor, Scara5, has been included in a prognostic gene panel for breast cancer indicating that the capability of cancer cells to uptake ferritin may confer a survival or proliferative advantage [34].”
BackgroundTsunedomi, R., Iizuka, N., Yoshimura, K., Iida, M., Tsutsui, M., HASHIMOTO, N., Kanekiyo, S., Sakamoto, K., Tamesa, T., & Oka, M. (2013) · International Journal of Oncology · doi:10.3892/ijo.2013.1854 · Cited by 34
“It has been suggested that changes in iron regulation characterize the malignant state and the iron regulatory gene signature was associated with breast cancer prognosis (46).”
BackgroundMcCarty, M. F., & Contreras, F. (2014) · Frontiers in Oncology · doi:10.3389/fonc.2014.00249 · Cited by 34
“Conversely, genetic expression patterns that predict efficient iron uptake (high transferrin receptor, low hereditary hemochromatosis), and low capacity for iron export (low transportin, high hepcidin) are associated with greater risk of recurrence and decreased survival in breast cancer patients (71, 75).”
BackgroundShotgun proteomics of archival triple‐negative breast cancer samples
Gámez‐Pozo, A., Ferrer, N. I., Ciruelos, E., López‐Vacas, R., Garcı́a, F., Espinosa, E., & Vara, J. Á. F. (2013) · PROTEOMICS - CLINICAL APPLICATIONS · doi:10.1002/prca.201200048 · Cited by 34
“We used previously published array expression data from two previous works [27, 28].”
MethodChen, Y., Zhang, F., Du, Z., Xie, J., Xia, L., Hou, X., Hao, E., & Deng, J. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.727130 · Cited by 35
“Studies have shown significantly increased ferritin in tumor patients with inhibited iron efflux (31).”
BackgroundPhenazine derivatives attenuate the stemness of breast cancer cells through triggering ferroptosis
Yang, Y., Lu, Y., Zhang, C., Guo, Q., Zhang, W., Wang, T., Xia, Z., Liu, J., Cheng, X., Xi, T., et al. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04384-1 · Cited by 34
“Notably, the decrease of iron output-related genes and the increase of iron input-related genes represent a better prognosis in breast cancer patients [21], and the CSC marker CD44 can mediate iron endocytosis in CSCs [22].”
BackgroundFerrous iron–activatable drug conjugate achieves potent MAPK blockade in KRAS -driven tumors
Jiang, H., Muir, R. K., Gonciarz, R. L., Olshen, A. B., Yeh, I., Hann, B. C., Zhao, N., Wang, Y.-H., Behr, S. C., Korkola, J. E., et al. (2022) · Journal of Experimental Medicine · doi:10.1084/jem.20210739 · Cited by 33
“Consistent with previous observations in breast cancer (Miller et al., 2011; Pinnix et al., 2010), prostate cancer (Tesfay et al., 2015), and glioblastoma (Schonberg et al., 2015), we have now confirmed an altered iron metabolic state in PDA characterized by the elevation of cytosolic labile…”
Trace Elements and Healthcare: A Bioinformatics Perspective
Zhang, Y. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-981-10-5717-5_4 · Cited by 34
Chen, F., Fan, Y., Hou, J., Liu, B., Zhang, B., Shang, Y., Chang, Y.-Z., Cao, P., & Tan, K. (2021) · Aging · doi:10.18632/aging.203512 · Cited by 33
“found that an iron anti-import phenotype with concomitant low TfR1 and high HFE was significantly associated with favorable prognosis of BC patients [21].”
Intracellular reduction/activation of a disulfide switch in thiosemicarbazone iron chelators
Akam, E. A., Chang, T. M., Astashkin, A. V., & Tomat, E. (2014) · Metallomics · doi:10.1039/c4mt00153b · Cited by 32
Matthew-Onabanjo, A. N., Janusis, J., Mercado-Matos, J., Carlisle, A. E., Kim, D., Levine, F. A., Cruz‐Gordillo, P., Richards, R., Lee, M. J., & Shaw, L. M. (2019) · Cancer Research · doi:10.1158/0008-5472.can-19-1555 · Cited by 34
“In breast cancer, iron levels are increased when compared with normal breast tissue and an iron-regulatory gene signature is prognostic for patient outcome (58).”
BackgroundIron participated in breast cancer chemoresistance by reinforcing IL-6 paracrine loop
Li, J., He, K., Liu, P., & Xu, L. X. (2016) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2016.05.064 · Cited by 32
Gámez‐Pozo, A., Trilla‐Fuertes, L., Prado-Vázquez, G., Chiva, C., López‐Vacas, R., Nanni, P., Berges‐Soria, J., Grossmann, J., Díaz‐Almirón, M., Ciruelos, E., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0178296 · Cited by 32
Metadata
- Authors
- Miller, L. D., Coffman, L. G., Chou, J. W., Black, M. A., Bergh, J., D'Agostino, R., Torti, S. V., & Torti, F. M.
- Affiliations
- Karolinska Institutet (SE)
- Corresponding author
- Torti, Frank M.
- Venue
- Cancer Research
- Published
- 2011-10-30
- Volume
- 71
- Issue
- 21
- Pages
- 6728-6737
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- PMC
- PMC3206152
- OpenAlex
- W2101427112
- Cited by
- 202
- References
- 38
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 3 · 2023: 14 · 2022: 15 · 2021: 26 · 2020: 19 · 2019: 19 · 2018: 9 · 2017: 20 · 2016: 17 · 2015: 8 · 2014: 16 · 2013: 15 · 2012: 11
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (P30CA012197)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK071892, R37 DK42412, R37DK042412)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Ferroptosis and cancer prognosis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Health Sciences › Medicine › Hematology › Iron Metabolism and Disorders
- Keywords
- breast cancer, iron metabolism, prognostic gene signature, distant metastasis-free survival, risk stratification, estrogen receptor-positive breast cancer, ferroportin, SLC40A1, HFE gene, transferrin receptor, hepcidin, gene expression
- MeSH terms
- Antineoplastic Combined Chemotherapy Protocols, Breast Neoplasms, Estrogens, Female, Humans, Iron, Lymphatic Metastasis, Models, Genetic, Neoplasms, Hormone-Dependent, Prognosis, Tamoxifen, Survival Analysis, Treatment Outcome, Chemotherapy, Adjuvant, Disease-Free Survival, Antineoplastic Agents, Hormonal, Estrogen Receptor Modulators, Gene Expression Profiling
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