Potentials of long non-coding RNAs as biomarkers of colorectal cancer

Lv, Yan; Wang, Yanhua; Zhang, Zhikai; Bao, Jiarui; Su, Huahua

doi:10.1007/s12094-022-02834-7

Cited by 4 publications

(1 citation statement)

References 149 publications

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“…Until now, the specific mechanisms of autophagy in cancer progression have remained unclear, but substantial evidence suggests that autophagy has a great potential as a prognostic predictor in CRC ( Lv et al, 2022 ; Zhu et al, 2022 ). We obtained the open access data from the TCGA database (TCGA-CRC) and comprehensively analyzed the association between autophagy-related lncRNAs and CRC by bioinformatics analysis.…”

Section: Discussionmentioning

confidence: 99%

Identification of Autophagy-Related LncRNA to Predict the Prognosis of Colorectal Cancer

Duan

Xia

et al. 2022

Front. Genet.

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Objective: To establish a prediction model based on autophagy-related lncRNAs and investigate the functional enrichment of autophagy-related lncRNAs in colorectal cancer.Methods: TCGA database was used to extract the transcriptome data and clinical features of colorectal cancer patients. HADb was used to obtain autophagy-related genes. Pearson correlation analysis was performed to identify autophagy-related lncRNAs. The autophagy-related lncRNAs with prognostic values were selected. Based on the selected lncRNAs, the risk score model and nomogram were constructed, respectively. Calibration curve, concordance index, and ROC curve were performed to evaluate the predictive efficacy of the prediction model. GSEA was performed to figure out the functional enrichment of autophagy-related lncRNAs.Results: A total of 13413 lncRNAs and 938 autophagy-related genes were obtained. A total of 709 autophagy-related genes were identified in colon cancer tissues, and 11 autophagy-related lncRNAs (AL138756.1, LINC01063, CD27-AS1, LINC00957, EIF3J-DT, LINC02474, SNHG16, AC105219.1, AC068580.3, LINC02381, and LINC01011) were finally selected and set as prognosis-related lncRNAs. According to the risk score, patients were divided into the high-risk and low-risk groups, respectively. The survival K–M (Kaplan–Meier) curve showed the low-risk group exhibits better overall survival than the high-risk group. The AUCs under the ROC curves were 0.72, 0.814, and 0.83 at 1, 3, and 5 years, respectively. The C-index (concordance index) of the model was 0.814. The calibration curves at 1, 3, and 5 years showed the predicting values were consistent with the actual values. Functional enrichment analysis showed that autophagy-related lncRNAs were enriched in several pathways.Conclusions: A total of 11 specific autophagy-related lncRNAs were identified to own prognostic value in colon cancer. The predicting model based on the lncRNAs and clinical features can effectively predict the OS. Furthermore, functional enrichment analysis showed that autophagy-related genes were enriched in various biological pathways.

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Section: Discussionmentioning

confidence: 99%

Identification of Autophagy-Related LncRNA to Predict the Prognosis of Colorectal Cancer

Duan

Xia

et al. 2022

Front. Genet.

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A comprehension of signaling pathways and drug resistance; an insight into the correlation between microRNAs and cancer

Alsaab,

Abdullaev,

Alkhafaji

et al. 2023

Pathology - Research and Practice

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Epigenetic modification in radiotherapy and immunotherapy for cancers

Hung,

Lee,

Chiou

et al. 2024

Tzu Chi Medical Journal

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Radiotherapy (RT) is one of the primary treatment modalities in managing cancer patients. Recently, combined RT and immunotherapy (IT) (i.e., radio-IT [RIT]) have been aggressively investigated in managing cancer patients. However, several issues in conducting RIT are challenging, such as incorporating advanced irradiation techniques, predictive/prognostic biomarkers, and other treatment modalities. Several clinical efforts and novel biomarkers have been introduced and developed to solve these challenges. For example, stereotactic radiosurgery/stereotactic radiotherapy, stereotactic body radiotherapy/stereotactic ablative body radiotherapy, and FLASH-RT have been applied for delivering precise irradiation to lung and liver tumors in conjunction with IT. Besides, several novel IT agents and incorporations of other therapies, such as targeted and thermal therapies, have been further investigated. The present study reviewed the emerging challenges of RIT in modern oncology. We also evaluated clinical practice, bench research, and multimodality treatments. In addition to several clinically applicable biomarkers, we emphasize the roles of advanced irradiation techniques and epigenetic modification as predictive/prognostic biomarkers and potential therapeutic targets. For example, 6(m) A-based epigenetic agents demonstrate the potential to enhance the treatment effects of RIT. However, further prospective randomized trials should be conducted to confirm their roles.

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Potentials of long non-coding RNAs as biomarkers of colorectal cancer

Cited by 4 publications

References 149 publications

Identification of Autophagy-Related LncRNA to Predict the Prognosis of Colorectal Cancer

Identification of Autophagy-Related LncRNA to Predict the Prognosis of Colorectal Cancer

A comprehension of signaling pathways and drug resistance; an insight into the correlation between microRNAs and cancer

Epigenetic modification in radiotherapy and immunotherapy for cancers

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