Circulating miRNAs and lncRNAs serve as biomarkers for early colorectal cancer diagnosis

Lotfi, Ehsan; Kholghi, Azam; Golab, Fereshteh; Mohammadi, Ali; Barati, Mahmood

doi:10.1016/j.prp.2024.155187

Cited by 6 publications

References 79 publications

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Effects of microRNA on the growth and targeted therapy response on lung cancer

Zhu,

Jiang,

Liu

2024

Clinical and Translational Dis

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Lung cancer represents a significant public health concern worldwide. Lung cancer typically receives a diagnosis at a late stage, leading to a generally unfavourable prognosis. Additionally, traditional treatments frequently fail in cases of metastatic lung cancer. However, targeted therapy has advanced considerably in the management of lung cancer, and overcoming drug resistance has emerged as a significant hurdle in achieving optimal treatment outcomes. As a result, there has been a new trend toward precision therapy for lung cancer based on changes at the molecular and genetic levels. On the other hand, for lung cancer, early diagnosis plays a crucial role in treatment and prognosis. Based on existing knowledge, we strongly believe that it is imperative to promptly identify innovative biomarkers. The emergence of microRNAs (miRNAs) provides new ideas. The expression profiles of miRNAs have been investigated using noninvasive blood samples to explore the regulatory mechanisms played by miRNAs during the progression and targeted therapy resistance of lung cancer. Due to the complexity of miRNA profiles, they may play the role of tumour suppressors or oncogenes. However, specific regulatory mechanisms are still a huge topic to be explored. In this Review, we summarize the latest research that has shed light on the potential regulatory mechanisms of miRNAs in driving lung cancer progression, their value for clinical application as biomarkers and their role in targeted therapy resistance.

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Effects of microRNA on the growth and targeted therapy response on lung cancer

Zhu,

Jiang,

Liu

2024

Clinical and Translational Dis

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Pan-cancer transcriptomic analysis reveals HSPB8 as a prognostic and immunological biomarker in colorectal cancer

Deng,

Sun,

Jian

et al. 2024

Oncol Transl Med

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Background Heat shock protein B8 (HSPB8) is implicated in autophagy, and its aberrant expression has been linked to both the initiation and progression of tumors. However, the role and function of HSPB8 in colorectal cancer (CRC) and across multiple cancer types remain unclear. This study aimed to map the transcriptome of autophagy-related genes in CRC and to conduct a pan-cancer analysis of HSPB8 as both a prognostic and immunological biomarker. Methods We performed bioinformatics analyses on GSE113513 and GSE74602 to identify differentially expressed genes (DEGs) in CRC. These DEGs were then compared with autophagy-related genes to identify critical overlapping genes. The Kaplan-Meier plotter was used to verify the expression of autophagy-linked DEGs and evaluate its prognostic value. The protein expression of Hub gene in CRC was analyzed using the Human Protein Atlas database. The cBioPortal was used to analyze the type and frequency of Hub gene mutations. The TIMER (Tumor Immune Estimation Resource) database was used to study the correlation between HSPB8 and immune infiltration in CRC. Results In total, 825 DEGs were identified, including 8 autophagy-linked DEGs: ATIC, MYC, HSPB8, TNFSF10, BCL2, TP53INP2, ITPR1, and NKX2-3. Survival analysis showed that increased HSPB8 expression significantly correlates with poor prognosis in patients with CRC (p < 0.05). HSPB8 was also found to be differentially expressed in various cancer types, correlating with both prognosis and immune infiltration. Further, changes in HSPB8 methylation and phosphorylation status were observed across several cancers, suggesting potential regulatory mechanisms. Therefore, HSPB8 may serve as a crucial prognostic and immunological biomarker in CRC and other cancers. Conclusions This study provides new insights into the role of autophagy-related genes in cancer progression and highlights HSPB8 as a potential target for cancer diagnostics and therapy.

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Diagnostic Accuracy of miRNA to Identify Colorectal cancer: A Systematic Review and Meta-Analysis

Chen,

Wu,

Tan

et al. 2024

Preprint

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Background Colorectal cancer (CRC) is a highly aggressive, high-incidence malignancy. CRC accounted for approximately one out of every ten cancer cases and deaths. Although miRNAs are often used for medical diagnostic purposes, their diagnostic effectiveness in CRC remains uncertain. Methods Therefore, from January 2016 to April 2024, we conducted a comprehensive search of China National Knowledge Internet (CNKI), PubMed, Cochrane Library, Web of Science (WoS) and other resources. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), area under the curve (AUC) and Fagan plot analysis were used to assess the overall test performance of machine learning approaches. Moreover, we evaluated the publication bias by the Deeks’funnel plot asymmetry test. Results Ultimately, a total of 23 publications were identified and incorporated into this meta-analysis. The aggregated diagnostic data were as follows: The sensitivity of the test was 0.83, with a 95% confidence interval of 0.81–0.84. The specificity was found to be 0.83 with a 95% confidence interval (CI) of 0.81–0.84. The PLR was 4.60 with a 95% CI of 3.77–5.62. The NLR was 0.22 with a 95% CI of 0.17–0.27. The DOR was 23.79 with a 95% CI of 16.26–34.81. The AUC was 0.90 with a 95% CI of 0.87–0.92. The Deek funnel plot suggests that publication bias has no statistical significance. The Fagan plot analysis that the positive probability is 50% and the nagative probability is 5%. Conclusion In summary, our results suggest the high accuracy of miRNAs in diagnosing CRC.

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Circulating miRNAs and lncRNAs serve as biomarkers for early colorectal cancer diagnosis

Cited by 6 publications

References 79 publications

Effects of microRNA on the growth and targeted therapy response on lung cancer

Effects of microRNA on the growth and targeted therapy response on lung cancer

Pan-cancer transcriptomic analysis reveals HSPB8 as a prognostic and immunological biomarker in colorectal cancer

Diagnostic Accuracy of miRNA to Identify Colorectal cancer: A Systematic Review and Meta-Analysis

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