| Literature DB >> 34150634 |
Shuangfeng Chen1, Yuebo Li2, Lili Qian2, Sisi Deng2, Luwen Liu2, Weihua Xiao3,4, Ying Zhou1,2.
Abstract
Ovarian cancer is one of the most common gynecologic cancers that has the highest mortality rate. Endometrioid ovarian cancer, a distinct subtype of epithelial ovarian cancer, is associated with endometriosis and Lynch syndrome, and is often accompanied by synchronous endometrial carcinoma. In recent years, dysbiosis of the microbiota within the female reproductive tract has been suggested to be involved in the pathogenesis of endometrial cancer and ovarian cancer, with some specific pathogens exhibiting oncogenic having been found to contribute to cancer development. It has been shown that dysregulation of the microenvironment and accumulation of mutations are stimulatory factors in the progression of endometrioid ovarian carcinoma. This would be a potential therapeutic target in the future. Simultaneously, multiple studies have demonstrated the role of four molecular subtypes of endometrioid ovarian cancer, which are of particular importance in the prediction of prognosis. This literature review aims to compile the potential mechanisms of endometrioid ovarian cancer, molecular characteristics, and molecular pathological types that could potentially play a role in the prediction of prognosis, and the novel therapeutic strategies, providing some guidance for the stratified management of ovarian cancer.Entities:
Keywords: endometrioid ovarian cancer; microbiota dysbiosis; molecular characteristic; molecular subtypes; prognosis; treatment strategy
Year: 2021 PMID: 34150634 PMCID: PMC8210668 DOI: 10.3389/fonc.2021.668151
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Proportions of EOVC cases with different grades and stages.
| Grade/FIGO stage | Proportion(%) |
|---|---|
| Grade | |
| Grade1/2 | 84~95% |
| Grade3 | 5~16% |
| Stage | |
| Stage I | 50~72% |
| Stage II | 11~36% |
| Stage III | 12~14% |
| Stage IV | 1~3% |
Figure 1Potential carcinogenic mechanisms of EOVC: shed endometrial cells may migrate retrogradely into the ovary, which may be a pro-factor for EOVC. Along with, microenvironment dysbiosis and accumulation of mutation burden, the shed endometrial cells and ovarian epithelial cells may gradually evolve into atypical cells, and further transform into carcinoma.
Summary of most common molecular alterations in EOVC and EEC(50-60).
| Mutated genes | EOVC | EEC |
|---|---|---|
| ARID1A | 30~55% | 39~55% |
| TP53 | 6~26% | 6~18% |
| PTEN | 14~29% | 64~80% |
| PIK3CA | 15~43% | 22~59% |
| KRAS | 12~26% | 19~43% |
| CTNNB1 | 16~63% | 16~28% |
| MMR | 7~18% | 7~28% |
| POLE | 3~10% | 7~15% |
| FBXW7 | 13% | – |
| SOX8 | 19% | – |
| PPP2R1A | 12~17% | – |
| ERBB2 | 8% | – |
The difference of immunohistochemistry (IHC) between EOVC and HGSOC in clinical cases.
| Types | Proportion (%) | Tumor marker (determined by IHC) |
|---|---|---|
| EOVC | Most cases | WT1 (-); TP53 (wild-type); PR (+)/ER (+); Napsin-A (-) |
| 10~30% | WT1 (+) and/or P53 (abn a ) | |
| HGSOC | Most cases | WT1 (+); P53 (abn a ); p16 (+) b |
anull or >70% expression of TP53; bdiffuse expression.
Figure 2Criteria for molecular typing of EOVC (103). All EOVC patients were grouped according to POLEmut, MMRd, TP53abn and TP53wild-type. For patients with MMR protein deficiency, after excluding sporadic cancers, genetic counseling and testing of family members are required to prevent hereditary cancers. (mut, mutation; d, deficiency; abn, abnormal).
Proportions of the four molecular subtypes of EOVC.
| Reference | Regions | POLE mut | MMRd | TP53 abn | TP53 wild-type |
|---|---|---|---|---|---|
| Kramer ( | Canada and European centers | 18/511 (3.5%) | 70/511 (13.7%) | 49/511 (9.6%) | 374/511 (73.2%) |
| Leskela ( | Spanish | 8/166 (4.8%) | 29/166 (17.5%) | 19/166 (11.4%) | 110/166 (66.3%) |
| Hollis ( | Britain | 7/112 (6.2%) | 20/112 (17.9%) | 27/112 (24.1%) | 58/112 (51.2%) |
| Cybuslka ( | America | 1/36 (2.8%) | 7/36 (19.4%) | 6/36 (16.7%) | 22/36 (61.1%) |
| Parra-Herran ( | Canada | 7/72 (10.0%) | 6/72 (8.3%) | 17/72 (24%) | 42/72 (58.3%) |
mut, mutation; d, deficiency; abn, abnormal.
Possible factors affecting EOVC prognosis.
| Possible factors | |
|---|---|
| Favorable prognosis | Stage I/II or grade1/2 |
| ER expression and/or PR expression | |
| SATB2 expression | |
| Nuclear ARID1A positive expression | |
| CTNNB1 mutations and nuclear β-catenin expression | |
| Nuclearβ-catenin and CDX2 expression individually or in combination | |
| Unfavorable prognosis | Stage III/IV or grade 3 |
| P53 abnormal | |
| P16-block expression | |
| Nuclear ARID1A negative expression (BAF250a loss) | |
| Negative protein expression of CECR1, KIF26B, and PIK3CA |