Identification and Validation of a Three Pyroptosis-Related lncRNA Signature for Prognosis Prediction in Lung Adenocarcinoma DOI Creative Commons
Jichang Liu, Qiang Liu,

Hongchang Shen

et al.

Frontiers in Genetics, Journal Year: 2022, Volume and Issue: 13

Published: July 19, 2022

Pyroptosis, defined as programmed cell death, results in the release of inflammatory mediators. Recent studies have revealed that pyroptosis plays essential roles antitumor immunity and immunotherapy efficacy. Long noncoding RNAs (lncRNAs) are involved a variety biological behaviors tumor cells, although mechanisms lncRNAs rarely studied. Our study aimed to establish novel pyroptosis-related lncRNA signature forecasting tool for predicting prognosis ascertaining immune value. Based on lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA), we performed Pearson's correlation analysis identify lncRNAs. After differentially expressed gene univariate Cox regression analysis, selected prognosis-related Finally, multivariate three signature. Kaplan-Meier (KM) survival analyses receiver operating characteristic (ROC) curves indicated excellent performance LUAD patients. At same time, applied multidimensional approaches further explore functional enrichment, microenvironment (TME) landscape, efficacy among different risk groups. A nomogram was constructed by integrating scores clinical characteristics, which validated using calibrations ROC curves. Three lncRNAs, namely, AC090559.1, AC034102.8, AC026355.2, were this used classify into low- high-risk Overall time (OS) higher low-risk group than group, also our cohort Shandong Provincial Hospital. TME landscape abundance infiltrating cells greater prevalence immune-related events existed group. Meanwhile, expression checkpoint (ICP) genes, immunophenoscore (IPSs), T dysfunction demonstrated better response Combined with predictions Tumor Immune Dysfunction Exclusion (TIDE) website, found significantly benefited death 1 (PD-1) cytotoxic T-lymphocyte-associated protein 4 (CTLA4) blockade (ICB) therapy compared those Furthermore, drug susceptibility identified potential sensitive chemotherapeutic drugs each In study, constructed, could accurately predict

Language: Английский

Deep Learning-Based Lung Cancer Histopathology Classification: Emphasizing Accuracy and Customisation DOI
Seema Kashyap, Arvind Kumar Shukla, Iram Naim

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Language: Английский

Citations

0
LncRNA PGM5-AS1 inhibits the progression of breast cancer by inhibiting miR-182-5p DOI

Yonghui Zhang,

Ming‐Xi Chen, Xuan Zheng

et al.

Nucleosides Nucleotides & Nucleic Acids, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: April 29, 2025

LncRNAs serve as crucial regulators in the survival and proliferation of tumors. This study is dedicated to exploring functional significance lncRNA PGM5-AS1 breast cancer (BRCA). First, expression level BRCA patients its diagnostic ability for were analyzed by RT-qPCR Receiver Operating Characteristic curve. Subsequently, LnCAR database was used preliminarily explore relationship between prognosis. Moreover, we investigated effects on proliferation, apoptosis, migration cells MTT assay, flow cytometry, Transwell assay. More importantly, regulation effect downstream target miR-182-5p verified dual luciferase reporting experiment, role further explored vitro experiments. significantly decreased both cell lines. In diagnosis BRCA, sensitivity specificity 81.5% 78.5%. Furthermore, lower levels are associated with a poor prognosis affected patients. studies demonstrate that upregulation confers protective against markedly inhibiting viability migratory capacity tumor cells. overexpression inhibited high fact, inhibition detrimental vitro. has potential marker acts an inhibitor BRCA. It inhibits metastasis targeting miR-182-5p.

Language: Английский

Citations

0
The roles of long non-coding RNAs in lung cancer DOI Creative Commons
Zhe Cao,

Linda Oyang,

Xia Luo

et al.

Journal of Cancer, Journal Year: 2021, Volume and Issue: 13(1), P. 174 - 183

Published: Dec. 15, 2021

Lung cancer is the most common malignancy, being a serious threat of human lives. The incidence and mortality lung has been increasing rapidly in past decades. Although development new therapeutic modes, such as target therapy, overall survival rate remains low. It urgent to advance understanding molecular oncology find novel biomarkers targets for early diagnosis, treatment, prognostic prediction cancer. Long non-coding RNAs (lncRNAs) are non-protein coding RNA transcripts that more than 200 nucleotides length. LncRNAs exert diverse biological functions by regulating gene expressions at transcriptional, translational, post-translational levels. In decade, it shown lncRNAs extensively involved pathogenesis various diseases, including this review, we highlighted characterized discussed their translational potential clinics.

Language: Английский

Citations

25
Atrous convolution aided integrated framework for lung nodule segmentation and classification DOI
Amitava Halder, Debangshu Dey

Biomedical Signal Processing and Control, Journal Year: 2022, Volume and Issue: 82, P. 104527 - 104527

Published: Dec. 26, 2022

Language: Английский

Citations

18
Identification and Validation of a Three Pyroptosis-Related lncRNA Signature for Prognosis Prediction in Lung Adenocarcinoma DOI Creative Commons
Jichang Liu, Qiang Liu,

Hongchang Shen

et al.

Frontiers in Genetics, Journal Year: 2022, Volume and Issue: 13

Published: July 19, 2022

Pyroptosis, defined as programmed cell death, results in the release of inflammatory mediators. Recent studies have revealed that pyroptosis plays essential roles antitumor immunity and immunotherapy efficacy. Long noncoding RNAs (lncRNAs) are involved a variety biological behaviors tumor cells, although mechanisms lncRNAs rarely studied. Our study aimed to establish novel pyroptosis-related lncRNA signature forecasting tool for predicting prognosis ascertaining immune value. Based on lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA), we performed Pearson's correlation analysis identify lncRNAs. After differentially expressed gene univariate Cox regression analysis, selected prognosis-related Finally, multivariate three signature. Kaplan-Meier (KM) survival analyses receiver operating characteristic (ROC) curves indicated excellent performance LUAD patients. At same time, applied multidimensional approaches further explore functional enrichment, microenvironment (TME) landscape, efficacy among different risk groups. A nomogram was constructed by integrating scores clinical characteristics, which validated using calibrations ROC curves. Three lncRNAs, namely, AC090559.1, AC034102.8, AC026355.2, were this used classify into low- high-risk Overall time (OS) higher low-risk group than group, also our cohort Shandong Provincial Hospital. TME landscape abundance infiltrating cells greater prevalence immune-related events existed group. Meanwhile, expression checkpoint (ICP) genes, immunophenoscore (IPSs), T dysfunction demonstrated better response Combined with predictions Tumor Immune Dysfunction Exclusion (TIDE) website, found significantly benefited death 1 (PD-1) cytotoxic T-lymphocyte-associated protein 4 (CTLA4) blockade (ICB) therapy compared those Furthermore, drug susceptibility identified potential sensitive chemotherapeutic drugs each In study, constructed, could accurately predict

Language: Английский

Citations

17