Tetraspanin 1 promotes endometriosis leading to ovarian clear cell carcinoma

Shin, Hyungcheol; Yang, Woo‐Ick; Chay, Doo Byung; Lee, Eun‐ju; Chung, Joon‐Yong; Kim, Hyunsoo; Kim, Jae‐Hoon

doi:10.1002/1878-0261.12884

Cited by 17 publications

(16 citation statements)

References 53 publications

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“…Experimental evidence suggests that a higher expression of CXCL8 in ovarian cancer cells is associated with metastasis and angiogenesis [ 36 , 37 ]. TSPAN1 is reported to be overexpressed in both ovarian cancer tissue and cell lines [ 38 ]. Keratin 19 (KRT19) is reported to be upregulated in response to the overexpression of the kallikrein related peptidase 4 (KLK4), with suggested a downstream increase of malignancy by lower sensitivity to paclitaxel treatment in ovarian cancer [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer

Gyllensten

Hedlund-Lindberg

Svensson

et al. 2022

Cancers

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Background: Ovarian cancer is the eighth most common cancer among women and has a 5-year survival of only 30–50%. The survival is close to 90% for patients in stage I but only 20% for patients in stage IV. The presently available biomarkers have insufficient sensitivity and specificity for early detection and there is an urgent need to identify novel biomarkers. Methods: We employed the Explore PEA technology for high-precision analysis of 1463 plasma proteins and conducted a discovery and replication study using two clinical cohorts of previously untreated patients with benign or malignant ovarian tumours (N = 111 and N = 37). Results: The discovery analysis identified 32 proteins that had significantly higher levels in malignant cases as compared to benign diagnoses, and for 28 of these, the association was replicated in the second cohort. Multivariate modelling identified three highly accurate models based on 4 to 7 proteins each for separating benign tumours from early-stage and/or late-stage ovarian cancers, all with AUCs above 0.96 in the replication cohort. We also developed a model for separating the early-stage from the late-stage achieving an AUC of 0.81 in the replication cohort. These models were based on eleven proteins in total (ALPP, CXCL8, DPY30, IL6, IL12, KRT19, PAEP, TSPAN1, SIGLEC5, VTCN1, and WFDC2), notably without MUCIN-16. The majority of the associated proteins have been connected to ovarian cancer but not identified as potential biomarkers. Conclusions: The results show the ability of using high-precision proteomics for the identification of novel plasma protein biomarker candidates for the early detection of ovarian cancer.

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Section: Discussionmentioning

confidence: 99%

Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer

Gyllensten

Hedlund-Lindberg

Svensson

et al. 2022

Cancers

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“…ATP5MC3 and ACSL3 have also been associated with iron death. The above studies show the importance of these iron death related differential genes in their prognostic characteristics [ 29 ]. Kaplan-Meier survival curve shows that these seven iron death-related genes are significantly related to OS in patients with renal clear cell carcinoma, reflecting great prognostic value.…”

Section: Discussionmentioning

confidence: 99%

Screening of Differentially Expressed Iron Death-Related Genes and the Construction of Prognosis Model in Patients with Renal Clear Cell Carcinoma

Shi

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. In this study, we used the TCGA database and ICGC database to establish a prognostic model of iron death associated with renal cell carcinoma, which can provide predictive value for the identification of iron death-related genes and clinical treatment of renal clear cell carcinoma. Methods. The gene expression profiles and clinical data of renal clear cell carcinoma and normal tissues were obtained in the TCGA database and ICGC database, and the differential genes related to iron death were screened out. The differential genes were screened out by single and multifactor Cox risk regression model. R software, “edge” package (version 4.0), was used to identify the DELs of 551 transcriptional gene samples and 522 clinical samples. The risk prediction model with genes was established to analyze the correlation between the genes in the established model and clinical characteristics, Through the final screening of iron death related genes, it can be used to predict the prognosis of renal clear cell carcinoma and provide advice for clinical targeted therapy. Results. Seven iron death differential genes (CLS2, FANCD2, PHKG2, ACSL3, ATP5MC3, CISD1, PEBP1) associated with renal clear cell carcinoma were finally screened and were refer to previous relevant studies. These genes are closely related to iron death and have great value for the prognosis of renal clear cell carcinoma. Conclusion. Seven iron death genes can accurately predict the survival of patients with renal clear cell carcinoma.

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“…From the genetic point of view, the malignant transformation of endometriosis to ovarian cancer might be triggered by some essential genes. A recent study used RNA sequencing of several types of tissues ranging from normal endometriosis to atypical endometriosis and ovarian cancer and found significant significantly increased levels of mRNA of tetraspanin 1 [45]. These data were confirmed by evaluation of tetraspanin 1 protein levels.…”

Section: Ovarian Cancermentioning

confidence: 80%

Endometriosis and gynaecological cancers: molecular insights behind a complex machinery

Větvička¹,

Fiala²,

Garzon³

et al. 2021

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Endometriosis is described as the presence of both endometrial glandular and stromal cells outside the uterine cavity. A major characterization of this disease is ectopic implantation of endometrial cells with increased migration. It is one of the leading causes of morbidity among premenopausal women, with a prevalence of 10-16% of women of reproductive age. Despite over century of intensive research, none of the current treatment options represents a real cure. Based on the current knowledge, endometriosis, particularly its atypical version, is considered to be a transitional form from benign disease to tumour. However, the exact mechanisms of this conversion are still not fully established.

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Tetraspanin 1 promotes endometriosis leading to ovarian clear cell carcinoma

Cited by 17 publications

References 53 publications

Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer

Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer

Screening of Differentially Expressed Iron Death-Related Genes and the Construction of Prognosis Model in Patients with Renal Clear Cell Carcinoma

Endometriosis and gynaecological cancers: molecular insights behind a complex machinery

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