| Literature DB >> 35847989 |
Jianfa Wu1,2, Li Zhang1,2, Suqin Wu1,2, Zhou Liu1,2.
Abstract
Ferroptosis, a new way of cell death, is involved in many cancers. A growing number of studies have focused on the unique role of ferroptosis on endometrial cancer. In this study, we made a comprehensive review of the relevant articles published to get deep insights in the association of ferroptosis with endometrial cancer and to present a summary of the roles of different ferroptosis-associated genes. Accordingly, we made an evaluation of the relationships between the ferroptosis-associated genes and TNM stage, tumor grade, histological type, primary therapy outcome, invasion and recurrence of tumor, and accessing the different prognosis molecular typing based on ferroptosis-associated genes. In addition, we presented an introduction of the common drugs, which targeted ferroptosis in endometrial cancer. In so doing, we clarified the opportunities and challenges of ferroptosis activator application in treating endometrial cancer, with a view to provide a novel approach to the disease.Entities:
Keywords: endometrial cancer; ferroptosis; initiation; prognosis; progress; treatment
Year: 2022 PMID: 35847989 PMCID: PMC9284435 DOI: 10.3389/fmolb.2022.929832
Source DB: PubMed Journal: Front Mol Biosci ISSN: 2296-889X
FIGURE 1Association of ferroptosis with initiation of endometrial cancer. On the one hand, p53 directly reduces the production of GSH by inhibiting the function of the SLC3A2/SLC7A11 complex, which inhibits the function of GPX4 to promote lipid peroxidation and ferroptosis. On the other hand, p53 indirectly targets p21, SAT1, GLS2, and DDP4, which may regulate ferroptosis and endometrial cancer initiation by activating the HIF-1α/VEGFA and IL-6/STAT3 signaling pathways. When Nrf2 is overexpressed or phosphorylated activated by p62/KEAP1 or PPKCD, it inhibits lipid peroxidation and ferroptosis by promoting the expression of SQSTM1, and enhancing the function of SLC7A11 and GPX4. GPX4 is a ferroptosis inhibitor, which is regulated by HSPA5 and PTPN18. GPX4 plays an important role in inhibiting ferroptosis and promoting initiation of endometrial cancer. Increase of intracellular iron results in lipid peroxidation and ferroptosis by Fenton reaction. MGST1, SLC1A5, and YAP are also inhibitors of ferroptosis. YAP promotes the expression of SLC7A11 directly or through inhibiting ATF4 degradation. YAP also promotes the increase of IL-6, IL-1, IRS1, and GAB2, which may inhibit lipid peroxidation to promote endometrial cancer initiation. P in the graph represents phosphorylation.
FIGURE 2Association of ferroptosis-associated genes with metastasis or recurrence of endometrial cancer. ASSP2 and p190A inhibit migration of endometrial cancer via inactivating the Hippo–YAP signaling pathway. YAP promotes the expression of SLC7A11 directly or through inhibiting ATF4 degradation. YAP also promotes the increase of IL-6, IL-1, IRS1, and GAB2, which may inhibit lipid peroxidation to promote invasion or migration. TGFβ1 promotes the expression of FSP1, which inhibit lipid peroxidation to promote invasion or migration. After Nrf2 dissociated from KEAP1, activated Nrf2 inhibits lipid peroxidation to promote invasion or migration. p53 enhances the expression of CDKN1A to promote lipid peroxidation. MGST1, FANCD2, and DDP4 may promote invasion or migration through inhibiting lipid peroxidation and ferroptosis. HOMX1 may restrain invasion or migration through promoting lipid peroxidation and ferroptosis. Moreover, increased ubiquitinated degradation of p53 results in the decreased expression of CDKN1A, which results in reduced ferroptosis and enhanced recurrence. FANCD2 and YAP may promote recurrence through inhibiting lipid peroxidation and ferroptosis. BAP1 may prevent recurrence through promoting lipid peroxidation and ferroptosis. P in the graph represents phosphorylation.
FIGURE 3Association of ferroptosis-associated genes with clinical characteristics of endometrial cancer. As indicated in the graph, there exists an association of ferroptosis-associated genes with the stage, grade, invasion, recurrence, histopathological type, and therapy outcome of endometrial cancer, blue represents the negative and red represents the positive.
FIGURE 4Ferroptosis-associated gene-based protective factor and risk factor in endometrial cancer. A list is made of ferroptosis-associated genes involved in endometrial cancer prognosis based on the previous literature; those which are positively associated with a good prognosis are defined as protective factors, and those which are negatively associated are defined as risk factors.
Molecular typing for endometrial cancer.
| Author | Article title | Date | Gene panel | Risk prediction formula | AUC |
|---|---|---|---|---|---|
| Yin Weijiao et al. | Immune infiltration and a ferroptosis-associated gene signature for predicting the prognosis of patients with endometrial cancer | 2021 | MDM2, GPX4, PRKAA2, PRNP, SLC11A2, ATP5MC3, PHKG2, and ACO1 | Risk score = (–0.34216 × MDM2 expression) + (–0.08952 × GPX4 expression) + (0.55497 × PRKAA2 expression) + (0.08230 x PRNP expression) + (– 0.46253 × SLC11A2 expression) + (0.41109 × ATP5MC3 expression) + (–0.50883 × PHKG2 expression) + (0.30930 × ACO1 expression) | 1-year: 0.676 |
| 2-year: 0.775 | |||||
| 3-year: 0.797 | |||||
| 5-year: 0.826 | |||||
| Jinhui Liu et al. | Identification of the prognostic signature associated with tumor immune microenvironment of uterine corpus endometrial carcinoma based on erroptosis-related genes | 2021 | HMOX1, KEAP1, HSBP1, SAT1, CISD1, and GPX4 | Risk score = = (0.002907 × HMOX1) + (0.013486 × KEAP1) + (−0.089640 × HSBP1) + (−0.001665 × SAT1) + (0.148,239 ×CISD1) + (−0.003060 × GPX4) | 1-year: 0.705 |
| 3-year: 0.607 | |||||
| 5-year: 0.713 | |||||
| L.S. E. ERIKSSON et al. | Combination of proactive molecular risk classifier for endometrial cancer (ProMisE) with sonographic and demographic characteristics in preoperative prediction of recurrence or progression of endometrial cancer | 2021 | ProMisE subtype, age, waist circumference , sonographic tumor extension, and size | - | 3-year: 0.890 |
| Xiao Yang et al. | A novel transcription factor-based prognostic signature in endometrial cancer: establishment and validation | 2021 | MSX1, HOXB9, E2F1, DLX4, BNC2, DLX2, PDX1, POU3F2, and FOXP3 | Risks core=(-0.0621*ExpDLX2)+ (-0.2395* ExpFOXP3)+(0.1016*ExpPOU3F2)+(0.2536*ExpPDX1)+(0.3276*ExpBNC2)+(0.2091*ExpDLX4)+(0.0158*ExpE2F1)+(0.0071*ExpHOXB9)+(-0.0021*ExpMSX1) | 5-year: 0.761 |
| Xuecheng Pang et al. | Development and validation of m6A regulators’ prognostic significance for endometrial cancer | 2021 | IGF2BP1 and YTHDF3 | Risk score = 0.0904*IGF2BP1 + 0.195* YTHDF3 | 1-year:0.6552 |
| 3-year:0.6408 | |||||
| 5-year:0.6439 | |||||
| Nan Lu et al. | MiRNA-based tumor mutation burden diagnostic and prognostic prediction models for endometrial cancer | 2021 | hsa-miR-146a-5p, hsa-mir-708-5p, hsa-miR-4746-5p, hsa-miR-452-5p, hsa-miR-452-3p, hsa-miR-224-5p, hsa-miR-375-3p, hsa-miR-30a-5p, hsa-miR-598-3p, hsa-miR-335-3p, hsa-miR-30c-5p, hsa-miR-101-5p, hsa-miR-210-3p ,hsa-miR-676-3p, hsa-miR-130a-3p, hsa-miR-1266-5p, hsa-miR-1271-5p ,hsa-miR-130a-5p, hsa-miR-203b-3p, hsa-mir-3074-5p, and hsa-miR-30d-5p | Risk score = hsa-miR-146a-5p * 0.091672 + hsa-mir-708-5p * (−0.01454) + hsa-miR-4746-5p *0.647,021 + hsa-miR-452-5p * 0.057283 + hsa-miR-452-3p * (−0.26965) + hsa-miR-224-5p * 0.018647 + hsa-miR-375-3p * 0.11641 + hsa-miR-30a-5p * 0.328,458 + hsa-miR-598-3p * 0.022044 + hsa-miR-335-3p * (−0.49775) + hsa-miR-30c-5p * (−0.63721) + hsa-miR-101-5p * 0.021696 + hsa-miR-210-3p * 0.571,997 + hsa-miR-676-3p * (−0.53052) + hsa-miR-130a-3p * 0.021182 + hsa-miR-1266-5p * 0.346,479 + hsa-miR-1271-5p * (−0.10099) + hsa-miR-130a-5p * (−0.09051) + hsa-miR-203b-3p * (−0.06494) + hsa-mir-3074-5p * 0.432,032 + hsa-miR-30d-5p * (−0.40024) | 1-year: 0.649 |
| 3-year: 0.602 | |||||
| 5-year: 0.699 | |||||
| Ziwei Wang et al. | An immune-related long noncoding RNA signature as a prognostic biomarker for human endometrial cancer | 2021 | ELN-AS1, AC103563.7, PCAT19, AF131215.5, LINC01871, AC084117.1, NRAV, SCARNA9, AL049539.1, POC1B-AS1, AC108134.4, and AC019080.5 | Risk Score= (ELN-AS1 × 0.229) + (AC103563.7 × 0.313) + (PCAT19× −0.277) + (AF131215.5 × 0.252)+ (LINC01871 × −0.357) + (AC084117.1 × 0.449) + (NRAV × −0.433) + (SCARNA9 × −0.339) +(AL049539.1 × 0.476) + (POC1B-AS1 × −0.758) + (AC108134.4× −0.262) + (AC019080.5 × 0.899) | 3-year: 0.808 |
| 5-year: 0.831 | |||||
| Shijin Huang et al. | Identification of a four-gene signature with prognostic significance in endometrial cancer using weighted gene correlation network analysis | 2021 | BUB1B, NDC80, TPX2, and TTK | Risk Score = 0.8871 × expression of TTK + (−0.5266 × expression of BUB1B) + (−0.5022 × expression of NDC80) + 0.5177 × expression of TPX2 | 2-year: 0.683 |
| 3-Year:0.703, | |||||
| 5-year: 0.684 | |||||
| Eva Coll-de la Rubia et al. |
| 2021 | ASRGL1, ESR1, FASN, HDGF, MACC1, MCM6, MCM7, MSH2, MSH6, PTK2, and TPX2 | — | 4-year:0.827 |