Dataset Information

New insights in melanoma biomarkers: long-noncoding RNAs.

ABSTRACT: Melanoma is one of the leading cancers worldwide, distinguished for its malignancy and low survival rates. Although the poor outcome could improve with an early diagnosis and a good monitoring of the disease, current melanoma biomarkers display several limitations which make them useless. Interestingly, long-noncoding RNAs are secreted into the bloodstream inside exosomes by a wide range of malignant cells, and several of them have been validated as promising circulating molecular signatures of other tumors, but not melanoma. In this review we propose to explore the booming field of long-noncoding RNAs in order to find potential candidates to be tested as novel melanoma biomarkers, with the ultimate goal of improving melanoma detection, diagnosis and prognosis.

SUBMITTER: Moreno-Traspas R

PROVIDER: S-EPMC6094599 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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New insights in melanoma biomarkers: long-noncoding RNAs.

Moreno-Traspas Ricardo R Vujic Igor I Sanlorenzo Martina M Ortiz-Urda Susana S

Melanoma management 20160816 3

Melanoma is one of the leading cancers worldwide, distinguished for its malignancy and low survival rates. Although the poor outcome could improve with an early diagnosis and a good monitoring of the disease, current melanoma biomarkers display several limitations which make them useless. Interestingly, long-noncoding RNAs are secreted into the bloodstream inside exosomes by a wide range of malignant cells, and several of them have been validated as promising circulating molecular signatures of ...[more]

PMID: 30190889

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Project description:Ovarian cancer (OC) is a highly malignant gynecologic tumor with few treatments available and poor prognosis with the currently available diagnostic markers and interventions. More effective methods for diagnosis and treatment are urgently needed. Although the current evidence implicates ferroptosis in the development and therapeutic responses of various types of tumors, it is unclear to what extent ferroptosis affects OC. To explore the potential of ferroptosis-related genes as biomarkers and molecular targets for OC diagnosis and intervention, this study collected several datasets from The Cancer Genome Atlas-OC (TCGA-OC), analyzed and identified the coexpression profiles of 60 ferroptosis-related genes and two subtypes of OC with respect to ferroptosis and further examined and analyzed the differentially expressed genes between the two subtypes. The results indicated that the expression levels of ferroptosis genes were significantly correlated with prognosis in patients with OC. Single-factor Cox and LASSO analysis identified eight lncRNAs from the screened ferroptosis-related genes, including lncRNAs RP11-443B7.3, RP5-1028K7.2, TRAM2-AS1, AC073283.4, RP11-486G15.2, RP11-95H3.1, RP11-958F21.1, and AC006129.1. A risk scoring model was constructed from the ferroptosis-related lncRNAs and showed good performance in the evaluation of OC patient prognosis. The high- and low-risk groups based on tumor scores presented obvious differences in clinical characteristics, tumor mutation burden, and tumor immune cell infiltration, indicating that the risk score has a good ability to predict the benefit of immunotherapy and may provide data to support the implementation of precise immunotherapy for OC. Although in vivo tests and research are needed in the future, our bioinformatics analysis powerfully supported the effectiveness of the risk signature of ferroptosis-related lncRNAs for prognosis prediction in OC. The findings suggest that these eight identified lncRNAs have great potential for development as diagnostic markers and intervention targets for OC and that patients with high ferroptosis-related lncRNA expression will receive greater benefits from conventional chemotherapy or treatment with ferroptosis inducers.

Dataset Information

New insights in melanoma biomarkers: long-noncoding RNAs.

Publications

New insights in melanoma biomarkers: long-noncoding RNAs.

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