Prognostic significance of hsa_circ_0048122 to predict liver metastasis in early‐stage colorectal cancer

Background Liver metastasis is the primary cause of lethal colorectal cancer (CRC). The predominant risk of poor patient prognosis in early‐stage CRC emerges as metachronous liver metastasis. This necessitates the search for potential biomarkers for this metastasis to assess treatment outcomes and p...

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Bibliographic Details
Published in:Journal of clinical laboratory analysis 2022-08, Vol.36 (8), p.e24577-n/a
Main Authors: Fang, Qian, Ni, Chuandou, Cai, Zhun, Li, Wangyong, Xie, Jianjin
Format: Article
Language:English
Subjects:
biomarker
Biomarkers
Clinical outcomes
Colorectal cancer
Colorectal carcinoma
Datasets
Gene expression
hsa_circ_0048122
Liver
Liver cancer
liver metastasis
Medical prognosis
Metastases
Metastasis
Patients
Regression analysis
Survival
Survival analysis
therapy
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Summary:Background Liver metastasis is the primary cause of lethal colorectal cancer (CRC). The predominant risk of poor patient prognosis in early‐stage CRC emerges as metachronous liver metastasis. This necessitates the search for potential biomarkers for this metastasis to assess treatment outcomes and provide targeted therapy. Methods The role of hsa_circ_0048122 in predicting liver metastasis in CRC was probed in this work. This retrospective and multi‐center investigation entailed exploration and identification stages with 158 and 176 patients. While RT‐qPCR was employed to scrutinize hsa_circ_0048122 expression, Kaplan–Meier survival, and multivariate analyses were used to probe its prognostic impact in early‐stage CRC and stage IV CRC cases, respectively. Results A strong correlation between liver metastases and hsa_circ_0048122 expression in stage IV CRC patients with a high hsa_circ_0048122 profile indicated a poor overall survival. Likewise, a high expression level of hsa_circ_0048122 appears as a potential predictor of liver metastases in patients' initial stages. Conclusions Predicting liver metastasis can be plausibly facilitated using Hsa_circ_0048122 as a biomarker in early‐stage CRC cases. Figure 1. Profiling of circRNAs from the CRCLM patients. (A) Volcano plot of differentially expressed genes in GEO datasets GSE147597. (B) Mean‐difference plot in GEO datasets GSE147597. (C) Venn diagram analysis of differentially expressed genes. (D) Hsa_circ_0048122 is upregulated in NSCLC compared to adjacent normal tissues.
ISSN:0887-8013
1098-2825
DOI:10.1002/jcla.24577