Desterke, C.; Cosialls, E.; Xiang, Y.; Elhage, R.; Duruel, C.; Chang, Y.; Hamaï, A. Adverse Crosstalk between Extracellular Matrix Remodeling and Ferroptosis in Basal Breast Cancer. Cells2023, 12, 2176.
Desterke, C.; Cosialls, E.; Xiang, Y.; Elhage, R.; Duruel, C.; Chang, Y.; Hamaï, A. Adverse Crosstalk between Extracellular Matrix Remodeling and Ferroptosis in Basal Breast Cancer. Cells 2023, 12, 2176.
Desterke, C.; Cosialls, E.; Xiang, Y.; Elhage, R.; Duruel, C.; Chang, Y.; Hamaï, A. Adverse Crosstalk between Extracellular Matrix Remodeling and Ferroptosis in Basal Breast Cancer. Cells2023, 12, 2176.
Desterke, C.; Cosialls, E.; Xiang, Y.; Elhage, R.; Duruel, C.; Chang, Y.; Hamaï, A. Adverse Crosstalk between Extracellular Matrix Remodeling and Ferroptosis in Basal Breast Cancer. Cells 2023, 12, 2176.
Abstract
(1) Background: Breast cancer is a frequent heterogeneous disorder diagnosed in woman and is a high cause of mortality of them in reason to rapid metastasis and disease recurrence. Ferroptosis can inhibit breast cancer cell growth, improve the sensitivity of chemotherapy and radiotherapy and inhibit distant metastases so potentially acts on tumor micro-environment; (2) Methods: Ferroptosis/Extracellular matrix remodeling literature text-mining results were integrated in breast cancer transcriptome cohort according their distant relapse free survival (DRFS) under adjuvant therapy (anthracyclin+taxanes) and also in MDA-MB-231 transcriptome functional experiments with ferroptosis activations (GSE173905); (3) Results: Ferroptosis/Extracellular matrix remodeling text-mining identified 910 associated genes in at list 10 articles. Univariate Cox analyses censored on breast cancer (GSE25066) selected 252 individual significant genes and 171 of them found with an adverse expression. Functional enrichment of these 171 adverse genes predicted basal breast cancer signatures. By text-mining some ferroptosis significant adverse selected genes shared citations in domain of ECM remodeling such as: TNF, IL6, SET, CDKN2A, EGFR, HMGB1, KRAS, MET, LCN2, HIF1A, TLR4. A molecular score based on expression the eleven genes was found predictive of worst prognosis breast cancer at univariate level: basal subtype, short DRFS, high grade values 3 and 4, estrogen and progesterone receptors negative and nodal stages 2 and 3. This eleven gene signature was validated as regulated by ferroptosis inductors (erastin and RSL3) in triple negative breast cancer cellular model MDA-MB-231.; (4) Conclusions: Crosstalk between ECM remodeling-Ferroptosis functionalities allowed to define a molecular score which have been characterized as an independent adverse parameter in prognosis of breast cancer patients. Gene signature of this molecular score have been validated to be regulated by erastin/RSL3 ferroptosis activators. This molecular score could be promising to evaluate ECM impact of ferroptosis target therapies in breast cancer.
Keywords
basal breast cancer; extracellular matrix remodeling; ferroptosis; transcriptome; text mining
Subject
Biology and Life Sciences, Cell and Developmental Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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