A Novel Assessment Model Based on Molecular Subtypes of Hypoxia-Related LncRNAs for Prognosis of Bladder Cancer

Chen, Xianwu; Zhang, Yan; Wang, Feifan; Zhou, Xinping; Fu, Qinghe; Yang, Xintao; Lin, Jun‐Tao; Jin, Xiaodong

doi:10.3389/fcell.2021.718991

Cited by 6 publications

(8 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the poor clinical value of classification into two clusters, we decided to construct a risk model same as previous studies (Chen et al, 2021c;Tang et al, 2021). According to the aforementioned prognostic NLRs and corresponding coefficient value, the risk score was calculated as follows: risk score = (0.9220 × HMGA2-AS1 expression) + (0.5187 × LINC02489 expression) + (−0.8027×ETV7-AS1 expression) + (0.2899 × EMSLR expression) + (−1.7005 × AC005954.1 expression) + (−0.5790 × STAG3L5P-PVRIG2P-PILRB expression) + (0.1412 × LINC02178 expression).…”

Section: Construction and Evaluation Of Prognostic Value Of Necroptos...mentioning

confidence: 99%

Prognostic implications of necroptosis-related long noncoding RNA signatures in muscle-invasive bladder cancer

Jiang

Yin

et al. 2022

Front. Genet.

View full text Add to dashboard Cite

Background: Bladder cancer (BLCA) is the sixth most common cancer in men, with an increasing incidence of morbidity and mortality. Necroptosis is a type of programmed cell death and plays a critical role in the biological processes of bladder cancer (BLCA). However, current studies focusing on long noncoding RNA (lncRNA) and necroptosis in cancer are limited, and there is no research about necroptosis-related lncRNAs (NRLs) in BLCA.Methods: We obtained the RNA-seq data and corresponding clinical information of BLCA from The Cancer Genome Atlas (TCGA) database. The seven determined prognostic NLRs were analyzed by several methods and verified by RT-qPCR. Then, a risk signature was established based on the aforementioned prognostic NLRs. To identify it, we evaluated its prognostic value by Kaplan–Meier (K-M) survival curve and receiver operating characteristics (ROC) curve analysis. Moreover, the relationships between risk signature and clinical features, functional enrichment, immune landscape, and drug resistance were explored as well.Results: We constructed a signature based on seven defined NLRs (HMGA2-AS1, LINC02489, ETV7-AS1, EMSLR, AC005954.1, STAG3L5P-PVRIG2P-PILRB, and LINC02178). Patients in the low-risk cohort had longer survival times than those in the high-risk cohort, and the area under the ROC curve (AUC) value of risk signature was higher than other clinical variables. Functional analyses, the infiltrating level of immune cells and functions, ESTIMATE score, and immune checkpoint analysis all indicated that the high-risk group was in a relatively immune-activated state. In terms of treatments, patients in the high-risk group were more sensitive to immunotherapy, especially anti-PD1/PD-L1 immunotherapy and conventional chemotherapy.Conclusion: The novel NLR signature acts as an invaluable tool for predicting prognosis, immune microenvironment, and drug resistance in muscle-invasive bladder cancer (MIBC) patients.

show abstract

Section: Construction and Evaluation Of Prognostic Value Of Necroptos...mentioning

confidence: 99%

Prognostic implications of necroptosis-related long noncoding RNA signatures in muscle-invasive bladder cancer

Jiang

Yin

et al. 2022

Front. Genet.

View full text Add to dashboard Cite

show abstract

“…Bladder cancer (BCa) is a tumor growing in the mucosa of the bladder and is one of the most prevalent urogenital malignancies, ranking sixth among male-related cancers [ 1 ]. In today's clinical treatment, cystoscopy pathological biopsy is the gold standard for detecting this highly heterogeneous cancer [ 2 , 3 ]. BCa is categorized into two categories based on tumor invasion in the bladder: nonmuscle-invasive and muscle-invasive.…”

Section: Introductionmentioning

confidence: 99%

A Novel Risk Model for lncRNAs Associated with Oxidative Stress Predicts Prognosis of Bladder Cancer

Feng

Yang

Kuang

et al. 2022

Journal of Oncology

View full text Add to dashboard Cite

Background. Oxidative stress (OS) reactions are closely related to the development and progression of bladder cancer (BCa). This project aimed to identify new potential biomarkers to predict the prognosis of BCa and improve immunotherapy. Methods. We downloaded transcriptomic information and clinical data on BCa from The Cancer Genome Atlas (TCGA). Screening for OS genes was statistically different between tumor and adjacent normal tissue. A coexpression analysis between lncRNAs and differentially expressed OS genes was performed to identify OS-related lncRNAs. Then, differentially expressed oxidative stress lncRNAs (DEOSlncRNAs) between tumors and normal tissues were identified. Univariate/multivariate Cox regression analysis was performed to select the lncRNAs for risk assessment. LASSO analysis was conducted to establish a prognostic model. The prognostic risk model could accurately predict BCa patient prognosis and reveal a close correlation with clinicopathological features. We analyzed the principal component analysis (PCA), immune microenvironment, and half-maximal inhibitory concentration (IC50) in the risk groups. Results. We constructed a model containing eight DEOSlncRNAs (AC021321.1, AC068196.1, AC008750.1, SETBP1-DT, AL590617.2, THUMPD3-AS1, AC112721.1, and NR4A1AS). The prognostic risk model showed better results in predicting the prognosis of BCa patients and was strongly correlated with clinicopathological characteristics. We found great agreement between the calibration plots and prognostic predictions in this model. The areas under the receiver operating characteristic (ROC) curve (AUCs) at 1, 3, and 5 years were 0.792, 0.804, and 0.843, respectively. This model also showed good predictive ability regarding the tumor microenvironment and tumor mutation burden. In addition, the high-risk group was more sensitive to eight therapeutic agents, and the low-risk group was more responsive to five therapeutic agents. Sixteen immune checkpoints were significantly different between the two risk groups. Conclusion. Our eight DEOSlncRNA risk models provide new insights into predicting prognosis and clinical progression in BCa patients.

show abstract

“…In addition, it has been revealed that targeting certain HRL can be an effective method in cancer treatment [10,12]. Recently, several studies have explored the possibility of developing a HRL signature to predict patients' survival and tumor microenvironment in multiple cancer types [14][15][16]. Nevertheless, application of the HRL signature in CRC is still unknown.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, lncRNA could upregulate the expression of HIF by increasing HIF-1α expression at both transcription and posttranscription levels [35]. Recently, a series of studies revealed that several hypoxia-related lncRNA signatures could provide predictive value [14,16,36]. In bladder cancer, a lncRNA signature consisting of 4 hypoxia-related lncRNAs was constructed and was found to exhibit excellent predictive performance [16].…”

mentioning

confidence: 99%

See 1 more Smart Citation

A Hypoxia-Related lncRNA Signature Correlates with Survival and Tumor Microenvironment in Colorectal Cancer

Zhong

Wang

et al. 2022

Journal of Immunology Research

View full text Add to dashboard Cite

The hypoxic tumor microenvironment and long noncoding RNAs (lncRNAs) are pivotal in cancer progression and correlate with the survival outcome of patients. However, the role of hypoxia-related lncRNAs (HRLs) in colorectal cancer (CRC) development remains largely unknown. Herein, we developed a hypoxia-related lncRNA signature to predict patients’ survival and immune infiltration. The RNA-sequencing data of 500 CRC patients were obtained from The Cancer Genome Atlas (TCGA) dataset, and HRLs were selected using Pearson’s analysis. Next, the Cox regression analysis was applied to construct a risk signature consisting of 9 HRLs. This signature could predict the overall survival (OS) of CRC patients with high accuracy in training, validation, and entire cohort. This signature was an independent risk factor and exerted predictive ability in different subgroups. Functional analysis revealed different molecular features between high- and low-risk groups. A series of drugs including cisplatin showed different sensitivities between the two groups. The expression pattern of immune checkpoints was also distinct between the two clusters in this model. Furthermore, the high-risk group had higher immune, stromal, and ESTIMATE score and a more repressive immune microenvironment than the low-risk group. Moreover, MYOSLID, one of the lncRNAs in this signature, could significantly regulate the proliferation, invasion, and metastasis of CRC.

show abstract

A Novel Assessment Model Based on Molecular Subtypes of Hypoxia-Related LncRNAs for Prognosis of Bladder Cancer

Cited by 6 publications

References 46 publications

Prognostic implications of necroptosis-related long noncoding RNA signatures in muscle-invasive bladder cancer

Prognostic implications of necroptosis-related long noncoding RNA signatures in muscle-invasive bladder cancer

A Novel Risk Model for lncRNAs Associated with Oxidative Stress Predicts Prognosis of Bladder Cancer

A Hypoxia-Related lncRNA Signature Correlates with Survival and Tumor Microenvironment in Colorectal Cancer

Contact Info

Product

Resources

About