Literature DB >> 21898387

Validation of tumor-associated macrophage ferritin light chain as a prognostic biomarker in node-negative breast cancer tumors: A multicentric 2004 national PHRC study.

Pascal Jézéquel1, Loïc Campion, Frédérique Spyratos, Delphine Loussouarn, Mario Campone, Catherine Guérin-Charbonnel, Marie-Pierre Joalland, Jean André, Françoise Descotes, Catherine Grenot, Pascal Roy, Antoine Carlioz, Pierre-Marie Martin, Agnès Chassevent, Marie-Lise Jourdan, Gabriel Ricolleau.   

Abstract

Novel prognostic biomarkers are imperatively needed to help direct treatment decisions by typing subgroups of node-negative breast cancer patients. Large screening of different biological compartments, such as the proteome, by means of high throughput techniques may greatly help scientists to find such markers. The present retrospective multicentric study included 268 node-negative breast cancer patients. We used a proteomic approach of SELDI-TOF-MS screening to identify differentially expressed cytosolic proteins with prognostic impact. The screening cohort was composed of 198 patients. Seventy supplementary patients were included for validation. Immunohistochemistry (IHC) and immunoassay (IA) were run to confirm the prognostic role of the marker identified by SELDI-TOF-MS screening. IHC was also used to explore links between selected marker and epithelial-mesenchymal transition (EMT)-like, proliferation and macrophage markers. Ferritin light chain (FTL) was identified as an independent prognostic marker (HR = 1.30-95% CI: 1.10-1.50, p = 0.001). Validation step by means of IHC and IA confirmed the prognostic value of FTL level. CD68 IHC showed that FTL was stored in tumor-associated macrophages (TAM), which exhibit an M2-like phenotype. We report here, first, the validation of FTL as a breast tumor prognostic biomarker in node-negative patients, and second, the fact that FTL is stored in TAM.
Copyright © 2011 UICC.

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Year:  2011        PMID: 21898387     DOI: 10.1002/ijc.26397

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  26 in total

1.  Current status of the prognostic molecular biomarkers in breast cancer: A systematic review.

Authors:  Goro Kutomi; Toru Mizuguchi; Fukino Satomi; Hideki Maeda; Hiroaki Shima; Yasutoshi Kimura; Koichi Hirata
Journal:  Oncol Lett       Date:  2017-01-17       Impact factor: 2.967

2.  Hypoxia-induced tumor exosomes promote M2-like macrophage polarization of infiltrating myeloid cells and microRNA-mediated metabolic shift.

Authors:  Jung Eun Park; Bamaprasad Dutta; Shun Wilford Tse; Nikhil Gupta; Chee Fan Tan; Jee Keem Low; Kheng Wei Yeoh; Oi Lian Kon; James P Tam; Siu Kwan Sze
Journal:  Oncogene       Date:  2019-03-12       Impact factor: 9.867

Review 3.  Iron and cancer: more ore to be mined.

Authors:  Suzy V Torti; Frank M Torti
Journal:  Nat Rev Cancer       Date:  2013-04-18       Impact factor: 60.716

Review 4.  Cellular iron metabolism in prognosis and therapy of breast cancer.

Authors:  Suzy V Torti; Frank M Torti
Journal:  Crit Rev Oncog       Date:  2013

Review 5.  Scavenger Receptors: Emerging Roles in Cancer Biology and Immunology.

Authors:  Xiaofei Yu; Chunqing Guo; Paul B Fisher; John R Subjeck; Xiang-Yang Wang
Journal:  Adv Cancer Res       Date:  2015-06-17       Impact factor: 6.242

Review 6.  Balancing efficacy of and host immune responses to cancer therapy: the yin and yang effects.

Authors:  Yuval Shaked
Journal:  Nat Rev Clin Oncol       Date:  2016-04-26       Impact factor: 66.675

7.  Comprehensive analysis of ferritin subunits expression and positive correlations with tumor-associated macrophages and T regulatory cells infiltration in most solid tumors.

Authors:  Zhang-Wei Hu; Lin Chen; Ren-Qiang Ma; Fan-Qin Wei; Yi-Hui Wen; Xue-Lan Zeng; Wei Sun; Wei-Ping Wen
Journal:  Aging (Albany NY)       Date:  2021-04-16       Impact factor: 5.682

8.  Cytoprotective effects of ferritin on doxorubicin-induced breast cancer cell death.

Authors:  Benjaporn Buranrat; James R Connor
Journal:  Oncol Rep       Date:  2015-09-08       Impact factor: 3.906

9.  bc-GenExMiner 3.0: new mining module computes breast cancer gene expression correlation analyses.

Authors:  Pascal Jézéquel; Jean-Sébastien Frénel; Loïc Campion; Catherine Guérin-Charbonnel; Wilfried Gouraud; Gabriel Ricolleau; Mario Campone
Journal:  Database (Oxford)       Date:  2013-01-15       Impact factor: 3.451

10.  The clinical and molecular significance associated with STING signaling in breast cancer.

Authors:  Eileen E Parkes; Matthew P Humphries; Elaine Gilmore; Fatima A Sidi; Victoria Bingham; Su M Phyu; Stephanie Craig; Catherine Graham; Joseph Miller; Daryl Griffin; Manuel Salto-Tellez; Stephen F Madden; Richard D Kennedy; Samuel F Bakhoum; Stephen McQuaid; Niamh E Buckley
Journal:  NPJ Breast Cancer       Date:  2021-06-25
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