C1orf74 positively regulates the EGFR/AKT/mTORC1 signaling in lung adenocarcinoma cells

Guo, Jinyong; Li, Aili; Guo, Renhua; He, Qian; Wu, Youru; Gou, Yanzi; Jin, Junfei; Huang, Guojin

doi:10.7717/peerj.13908

Cited by 4 publications

(7 citation statements)

References 15 publications

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“…This enrichment of the pattern of the PI3K-Akt pathway positively correlated with C1orf74 expression in cervical cancer. Our findings are in agreement with the previous report of C1orf74 in lung adenocarcinoma, which is not hormonally regulated like cervical cancer, but showed a correlation of C1orf74 with the regulation of the EGFR/AKT/mTORC1 pathway [25]. The PI3K/Akt signaling pathway plays a crucial role in the Ras-mediated transformation of cancer cells [43].…”

Section: Discussionsupporting

confidence: 93%

“…C1orf74 emerged as a promising biomarker during this analysis, with higher expression of C1orf74 being associated with low overall survival. An extensive literature search identified only one publication suggesting a role for C1orf74 in regulating EGFR/AKT/mTORC1 signaling lung adenocarcinoma cells [25].…”

Section: Discussionmentioning

confidence: 99%

“…Fusion transcripts of C1orf74 and neighboring IRF6 have been reported previously in squamous cell carcinomas [29]. The C1orf74 protein is found in both cytoplasm as well as plasma membrane but its function in normal and cancer cells remains unknown [25]. A recent research study reported that higher expression of C1orf74 was associated with poorer prognosis in lung adenocarcinoma patients.…”

Section: Introductionmentioning

confidence: 88%

“…Among the list of these top identified genes through integrative analysis on UALCAN, C1orf74 emerged as a promising candidate. C1orf74 is a protein-coding gene present on chromosome 1 at locus 1q32.2 in humans between the genes TRAF31P3 and IRF6 [25]. It has two exons, out of which only one is coding [26].…”

Section: Introductionmentioning

confidence: 99%

“…A recent research study reported that higher expression of C1orf74 was associated with poorer prognosis in lung adenocarcinoma patients. It was also observed that C1orf74 can positively regulate the EGFR/AKT/mTORC1 pathway, affecting cell proliferation and mobility [25]. It is well known that cervical cancer develops and spreads as a result of the EGFR/AKT/mTORC1 signaling pathway and its connection to HPV infection.…”

Section: Introductionmentioning

confidence: 99%

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Increased Gene Expression of C1orf74 Is Associated with Poor Prognosis in Cervical Cancer

Parida,

Lewis,

Sharan

et al. 2023

Cells

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C1orf74, also known as URCL4, has been reported to have higher expression and be associated with poor prognosis in lung adenocarcinoma patients, and its role in regulation of the EGFR/AKT/mTORC1 pathway has been recently elucidated. In the current study, we used publicly available data and experimental validation of C1orf74 gene expression and its association with prognosis in cervical cancer patients. qRT-PCR was performed using RNA from cervical cancer cell lines and twenty-five cervical cancer patients. Data from TNMplot revealed that mRNA expression of the C1orf74 gene in primary tumor tissues, as well as metastatic tissues from cervical cancer patients, was significantly higher compared to normal cervical tissues. HPV-positive tumors had higher expression of this gene compared to HPV-negative tumors. qPCR analysis also demonstrated higher expression of C1orf74 in HPV-positive cervical cancer cell lines and most cervical cancer patients. The promoter methylation levels of the C1orf74 gene in cervical cancer tissues were lower compared to normal cervical tissues (p < 0.05). Collectively, our study indicates that higher expression of the C1orf74 gene caused by hypomethylation of its promoter is associated with poor overall survival in cervical cancer patients. Thus, C1orf74 is a novel prognostic marker in cervical cancer.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Increased Gene Expression of C1orf74 Is Associated with Poor Prognosis in Cervical Cancer

Parida,

Lewis,

Sharan

et al. 2023

Cells

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Assessment of Mononuclear/Dinuclear copper acylhydrazone complexes for lung cancer treatment

Wu,

Lan

et al. 2024

Bioorganic Chemistry

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Investigation into the Association between Neurotransmitters, Immune Features, and Lung Adenocarcinoma: A Multi-Omics Approach to the Identification of GABA-Related Features Employing 101 Combinatorial Machine Learning Computational Frameworks

You,

Wang,

Wang

et al. 2024

Preprint

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Background Lung adenocarcinoma (LUAD), a predominant subtype of non-small cell lung cancer, exhibits a high mortality rate. To date, no reliable or sensitive biomarkers or prognostic methods have been identified for its early detection or diagnosis. Gamma-aminobutyric acid (GABA), a critical inhibitory neurotransmitter in the central nervous system (CNS), primarily functions by interacting with GABA receptors (GABAR). Recent years have witnessed an increasing recognition of GABA's crucial role in mediating the onset or progression of numerous tumors outside the CNS. However, the research exploring the role of GABA in LUAD remains scant, and its specific molecular and cellular interaction mechanisms are yet to be fully elucidated. Methods We developed a new machine learning framework, based on the screening of GABA-related genes at the level of single cells and large transcriptomes. This framework comprises 10 algorithms and their 101 combination pairing patterns, which are used to construct consistent GABA-related features (GABARF). The performance of this framework is evaluated in the training set and external validation set. To provide a quantitative tool for predicting prognosis in clinical practice, we established a nomogram incorporating GABARF. Additionally, we conducted multi-omics analyses, including genomics, single-cell transcriptomics, and whole transcriptomics, to obtain and summarize more comprehensive prognostic features. Lastly, we assessed the response of the GABARF risk subgroups to immunotherapy and screened for personalized drugs for specific risk subgroups. Results Among the 124 GABA-related genes we investigated, 38 of these demonstrate a significant correlation with patient overall survival (OS). Our GABARF, which is based on machine learning, performed outstandingly in predicting prognosis and clinical interpretation, and also exhibits potential in predicting the occurrence and progression of LUAD. Multivariate analysis confirmed that GABARF is an independent prognostic factor for the OS of LUAD. Additionally, distinct GABARF risk subgroups exhibit significant differences in biological function, mutation status, and immune infiltration of tumors. Furthermore, significant differences exist in the Immune Phenotype Score (IPS) between the risk subgroups. Through integrating the sensitivity analysis of conventional LUAD drugs, it was found that patients in the low-risk group may benefit more from Immune Checkpoint Inhibitors (ICI) treatment, while patients in the high-risk group may be more sensitive to first-line chemotherapy drugs. Conclusion In the present study, a novel machine learning-based model for GABA-related features (GABARF) has been developed. This model serves as a robust tool for the prediction of prognosis, targeted prevention, and individualized treatment planning in lung adenocarcinoma (LUAD). A preliminary investigation into the interaction mechanism of GABARF at the molecular, cellular, and tumor immune microenvironment levels in LUAD has been initiated. This holds great potential to propel future basic research and advancements in the realm of neuro-tumor immunity crossover.

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C1orf74 positively regulates the EGFR/AKT/mTORC1 signaling in lung adenocarcinoma cells

Cited by 4 publications

References 15 publications

Increased Gene Expression of C1orf74 Is Associated with Poor Prognosis in Cervical Cancer

Increased Gene Expression of C1orf74 Is Associated with Poor Prognosis in Cervical Cancer

Assessment of Mononuclear/Dinuclear copper acylhydrazone complexes for lung cancer treatment

Investigation into the Association between Neurotransmitters, Immune Features, and Lung Adenocarcinoma: A Multi-Omics Approach to the Identification of GABA-Related Features Employing 101 Combinatorial Machine Learning Computational Frameworks

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