Analysis of N6-methyladenosine-related lncRNAs in the tumor immune microenvironment and their prognostic role in pancreatic cancer

Mar 22, 2022Journal of cancer research and clinical oncology

Long non-coding RNAs linked to RNA modification in the tumor immune environment and their role in predicting pancreatic cancer outcomes

AI simplified

Circadian Biology on OpenScience ↗PubMed ↗DOI ↗

Abstract

A risk model comprising ten m6A-related lncRNAs was identified as an independent predictor of prognosis in pancreatic cancer.

Analysis of 178 tumor and 4 normal samples revealed two distinct clusters based on the expression of 12 prognosis-related lncRNAs.
The identified clusters exhibited differences in the tumor immune microenvironment and patient prognosis.
The constructed prognostic model demonstrated an acceptable prognostic value for predicting overall survival in pancreatic cancer patients.
The prognostic signature was associated with the tumor immune microenvironment and the expression of key immune checkpoint molecules.

AI simplified

BACKGROUND: Pancreatic cancer (PC) is a rare solid malignancy with a poor prognosis. N6-methyladenosine (m6A) and long noncoding RNAs (lncRNAs) play essential roles in tumorigenesis and progression. However, little is known about the role of m6A-related lncRNAs in PC.

METHODS: m6A-related lncRNAs were extracted by Pearson analysis, and then prognosis-related lncRNAs were filtered from the m6A-related lncRNAs by univariate Cox regression analysis. Based on the expression patterns of the prognosis-related lncRNAs, samples were classified into distinct clusters. Least absolute shrinkage and selection operator (LASSO) Cox regression was used to construct a m6A-lncRNA-related prognostic signature for PC patients. Receiver operating characteristic (ROC) curves and the corresponding area under the curve (AUC) values were used to evaluate the prognostic ability of the model.

RESULTS: A total of 178 tumor and 4 normal samples were extracted from The Cancer Genome Atlas (TCGA) database in our study. Based on the expression of 12 filtered prognosis-related lncRNAs, two distinct clusters were eventually identified; these clusters were characterized by differences in the tumor immune microenvironment (TIME) and prognosis. A risk model comprising ten m6A-related lncRNAs was identified as an independent predictor of prognosis. ROC analysis revealed that this model had an acceptable prognostic value for PC patients. The prognostic signature was related to the TIME and the expression of critical immune checkpoint molecules.

CONCLUSION: This study comprehensively assessed the expression pattern and prognostic value of m6A-related lncRNAs in PC. The different clusters correlated with distinct TIMEs and prognoses. The study also constructed a ten-gene signature prognostic model based on m6A-related lncRNAs, which showed good accuracy in predicting overall survival.

Full Text

Full text is available at the source.

View full text (PDF) ↗View full text (HTML) ↗

Analysis of N6-methyladenosine-related lncRNAs in the tumor immune microenvironment and their prognostic role in pancreatic cancer

Abstract

Full Text

You found one interesting study. We’ll send the next 7.

what lands in your inbox each week:

Recent issues from the circadian biology brief

Abstract

Full Text

Related papers

You found one interesting study. We’ll send the next 7.

what lands in your inbox each week:

Recent issues from the circadian biology brief