Upregulated LINC01667 Expression Is Correlated With Poor Prognosis in Hepatocellular Carcinoma

Zhang, Kainan; Liu, Hui; Yu, Mingcan; Zhao, Hui; Yang, Ning; Bi, Xiaojuan; Sun, Li; Lin, Renyong; Lü, Guodong

doi:10.3389/fonc.2021.650173

Cited by 4 publications

(4 citation statements)

References 33 publications

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“…Secondly, there are three genes shared among the three groups of cancer patients but not with the group of healthy individuals, namely BAGE2, HAVCR1P1, and LINC01667. Numerous studies have reported the correlation of the abnormal expression of BAGE2 [ 22 , 23 ] and LINC01667 [ 24 ] with carcinogenesis of multiple types of cancers. Therefore, these genes could be potential biomarkers to discriminate healthy individuals from cancer patients in general.…”

Section: Resultsmentioning

confidence: 99%

Prediction of methylation status using WGS data of plasma cfDNA for multi-cancer early detection (MCED)

Cui,

Zhou,

et al. 2024

Clin Epigenet

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Background Cell-free DNA (cfDNA) contains a large amount of molecular information that can be used for multi-cancer early detection (MCED), including changes in epigenetic status of cfDNA, such as cfDNA fragmentation profile. The fragmentation of cfDNA is non-random and may be related to cfDNA methylation. This study provides clinical evidence for the feasibility of inferring cfDNA methylation levels based on cfDNA fragmentation patterns. We performed whole-genome bisulfite sequencing and whole-genome sequencing (WGS) on both healthy individuals and cancer patients. Using the information of whole-genome methylation levels, we investigated cytosine–phosphate–guanine (CpG) cleavage profile and validated the method of predicting the methylation level of individual CpG sites using WGS data. Results We conducted CpG cleavage profile biomarker analysis on data from both healthy individuals and cancer patients. We obtained unique or shared potential biomarkers for each group and built models accordingly. The modeling results proved the feasibility to predict the methylation status of single CpG sites in cfDNA using cleavage profile model from WGS data. Conclusion By combining cfDNA cleavage profile of CpG sites with machine learning algorithms, we have identified specific CpG cleavage profile as biomarkers to predict the methylation status of individual CpG sites. Therefore, methylation profile, a widely used epigenetic biomarker, can be obtained from a single WGS assay for MCED.

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Section: Resultsmentioning

confidence: 99%

Prediction of methylation status using WGS data of plasma cfDNA for multi-cancer early detection (MCED)

Cui,

Zhou,

et al. 2024

Clin Epigenet

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“…Human HCC cells HepG2, HUH7, HCC-LM3 and control cells L02 were obtained from the Type Culture Collection Cell Bank. Methods for cell culture have been outlined in prior research ( Yu et al, 2021 ; Zhang et al, 2021 ). Rabbit polyclonal anti-TUBG1 antibody was purchased from Santa Cruz Biotechnology (Santa Cruz, CA, USA).…”

Section: Methodsmentioning

confidence: 99%

Upregulated TUBG1 expression is correlated with poor prognosis in hepatocellular carcinoma

Zhang

Liu

et al. 2022

PeerJ

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Background Hepatocellular carcinoma (HCC) development is a complex pathological process. Tubulin gamma 1 (TUBG1) plays an oncogenic role in several human cancers; however, its functional role in HCC tumorigenesis remains unknown. Methods Herein we first evaluated the gene expression levels of TUBG1 in HCC using data from The Cancer Genome Atlas and Gene Expression Profiling Interactive Analysis databases. We then elucidated the association between TUBG1 gene expression levels and survival rates of patients with HCC. Cell cycle, proliferation, transwell migration, and matrigel invasion assays were used to study the effects of TUBG1 on the malignant phenotypes of HCC cells. Results Based on the data obtained from the aforementioned databases and our in vitro experiments, TUBG1 was found to be overexpressed in HCC and patients with high TUBG1 expression levels showed a remarkably poor overall survival rate. In addition, the expression of TUBG1 significantly promoted the malignant phenotypes of HCC cells in vitro. Gene ontology term enrichment analysis revealed that co-regulated genes were enriched in biological processes mainly involved in chromosome segregation, chromosomal region, and chromatin binding; moreover, Kyoto Encyclopedia of Genes and Genome pathway analysis showed that they were mainly involved in cell cycle, oocyte meiosis, platinum drug resistance, and the p53 signaling pathway. Conclusions We report that TUBG1 is an important oncogene in HCC. It promotes HCC progression and may serve as a potential prognostic biomarker for HCC. Future studies are warranted to unveil molecular biological mechanisms underlying TUBG1 carcinogenesis.

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“…However, the assignment of a certain histopathological grade based on morphological features alone can be subjective and prone to inter-observer variability [6]. In order to enhance the predictive power of pathological evaluations, molecular biomarkers can be used to supplement the morphological examination of tumor tissues as prognostic indicators [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

DJ-1 Oncogene as a Potential Diagnostic and Prognostic Biomarker for Head and Neck Cancer

Torre¹,

Kerdjoudj²,

Arnouk³

2023

Cureus

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BackgroundCurrent methods used to diagnose and prognosticate oropharyngeal cancer have contributed to unfavorable patient survival rates that have not significantly improved for the last several decades. Precision medicine oncology relies on molecular diagnostics and biomarkers to supplement existing methods of detecting and prognosticating cancers. This study evaluated the expression of DJ-1, an oncogene that is implicated in the pathogenesis of oral squamous cell carcinoma (OSCC), the most common type of head and neck cancer, to determine its utility as a diagnostic and prognostic biomarker. MethodologyImmunohistochemistry (IHC) was performed on 13 normal oral mucosa tissue samples and 143 OSCC tissue samples of varying histopathological grades. Computer-assisted image analysis was performed using the Aperio ImageScope software from Leica Biosystems (Buffalo Grove, IL), which utilizes an algorithm of positive pixel counting for the quantification of immunoreactivity and the percentage of positive cell staining, generating a histo-score (H-score). The comparisons of the average H-scores of the different groups were made using a two-tailed T-test with P ≤ 0.05 set as the level of significance. ResultsThe study found a significant increase in DJ-1 expression in oral squamous cell carcinoma tissue samples in comparison to the normal oral mucosa tissue samples. Additionally, the study documented a significant upregulation in DJ-1 expression in the OSCC tissue samples with high histopathological grades compared to the OSCC tissue samples with low histopathological grades. ConclusionsDJ-1 expression patterns were able to reliably differentiate between oral squamous cell carcinoma and the normal counterpart tissues of the oral mucosa, thereby highlighting its role as a potential diagnostic biomarker. Moreover, DJ-1 expression significantly correlates with the OSCC histological grade, which serves as an indicator of the differentiation status and a predictor of the biological behavior of malignant neoplasms, adding to DJ-1's potential utility as a prognostic biomarker for this common type of head and neck cancer.

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Upregulated LINC01667 Expression Is Correlated With Poor Prognosis in Hepatocellular Carcinoma

Cited by 4 publications

References 33 publications

Prediction of methylation status using WGS data of plasma cfDNA for multi-cancer early detection (MCED)

Prediction of methylation status using WGS data of plasma cfDNA for multi-cancer early detection (MCED)

Upregulated TUBG1 expression is correlated with poor prognosis in hepatocellular carcinoma

DJ-1 Oncogene as a Potential Diagnostic and Prognostic Biomarker for Head and Neck Cancer

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