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Analysis of cuproptosis-related lncRNA signature for predicting prognosis and tumor immune microenvironment in pancreatic cancer
by
Xu, Yu
, Fu, Xue-Liang
, He, Rui-Zhe
, Zhu, Yu-Heng
, Xu, Da-Peng
, Ma, Ding
, Yao, Hong-Fei
, Zhang, Jun-Feng
, Yang, Min-Wei
, Zheng, Jia-Hao
, Jia, Qin-Yuan
, Yang, Jian-Yu
, Yang, Jian
, Liu, De-Jun
, Huo, Yan-Miao
in
Antitumor activity
/ Apoptosis
/ Biomarkers
/ Cancer
/ Cell death
/ Cell migration
/ Cell proliferation
/ Chemokines
/ Decision making
/ Gastrointestinal tract
/ Immune response
/ Medical prognosis
/ Microenvironments
/ Non-coding RNA
/ Pancreatic cancer
/ Pheochromocytoma cells
/ Polymerase chain reaction
/ Prognosis
/ Real time
/ Risk
/ Survival
/ Tumors
2023
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Analysis of cuproptosis-related lncRNA signature for predicting prognosis and tumor immune microenvironment in pancreatic cancer
by
Xu, Yu
, Fu, Xue-Liang
, He, Rui-Zhe
, Zhu, Yu-Heng
, Xu, Da-Peng
, Ma, Ding
, Yao, Hong-Fei
, Zhang, Jun-Feng
, Yang, Min-Wei
, Zheng, Jia-Hao
, Jia, Qin-Yuan
, Yang, Jian-Yu
, Yang, Jian
, Liu, De-Jun
, Huo, Yan-Miao
in
Antitumor activity
/ Apoptosis
/ Biomarkers
/ Cancer
/ Cell death
/ Cell migration
/ Cell proliferation
/ Chemokines
/ Decision making
/ Gastrointestinal tract
/ Immune response
/ Medical prognosis
/ Microenvironments
/ Non-coding RNA
/ Pancreatic cancer
/ Pheochromocytoma cells
/ Polymerase chain reaction
/ Prognosis
/ Real time
/ Risk
/ Survival
/ Tumors
2023
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Analysis of cuproptosis-related lncRNA signature for predicting prognosis and tumor immune microenvironment in pancreatic cancer
by
Xu, Yu
, Fu, Xue-Liang
, He, Rui-Zhe
, Zhu, Yu-Heng
, Xu, Da-Peng
, Ma, Ding
, Yao, Hong-Fei
, Zhang, Jun-Feng
, Yang, Min-Wei
, Zheng, Jia-Hao
, Jia, Qin-Yuan
, Yang, Jian-Yu
, Yang, Jian
, Liu, De-Jun
, Huo, Yan-Miao
in
Antitumor activity
/ Apoptosis
/ Biomarkers
/ Cancer
/ Cell death
/ Cell migration
/ Cell proliferation
/ Chemokines
/ Decision making
/ Gastrointestinal tract
/ Immune response
/ Medical prognosis
/ Microenvironments
/ Non-coding RNA
/ Pancreatic cancer
/ Pheochromocytoma cells
/ Polymerase chain reaction
/ Prognosis
/ Real time
/ Risk
/ Survival
/ Tumors
2023
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Analysis of cuproptosis-related lncRNA signature for predicting prognosis and tumor immune microenvironment in pancreatic cancer
Journal Article
Analysis of cuproptosis-related lncRNA signature for predicting prognosis and tumor immune microenvironment in pancreatic cancer
2023
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Overview
Pancreatic cancer (PC) is a highly malignant digestive tract tumor, with a dismal 5-year survival rate. Recently, cuproptosis was found to be copper-dependent cell death. This work aims to establish a cuproptosis-related lncRNA signature which could predict the prognosis of PC patients and help clinical decision-making. Firstly, cuproptosis-related lncRNAs were identified in the TCGA-PAAD database. Next, a cuproptosis-related lncRNA signature based on five lncRNAs was established. Besides, the ICGC cohort and our samples from 30 PC patients served as external validation groups to verify the predictive power of the risk signature. Then, the expression of CASC8 was verified in PC samples, scRNA-seq dataset CRA001160, and PC cell lines. The correlation between CASC8 and cuproptosis-related genes was validated by Real-Time PCR. Additionally, the roles of CASC8 in PC progression and immune microenvironment characterization were explored by loss-of-function assay. As showed in the results, the prognosis of patients with higher risk scores was prominently worse than that with lower risk scores. Real-Time PCR and single cell analysis suggested that CASC8 was highly expressed in pancreatic cancer and related to cuproptosis. Additionally, gene inhibition of CASC8 impacted the proliferation, apoptosis and migration of PC cells. Furthermore, CASC8 was demonstrated to impact the expression of CD274 and several chemokines, and serve as a key indicator in tumor immune microenvironment characterization. In conclusion, the cuproptosis-related lncRNA signature could provide valuable indications for the prognosis of PC patients, and CASC8 was a candidate biomarker for not only predicting the progression of PC patients but also their antitumor immune responses.
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