Expression of autophagy-related factor p62 for lung cancer diagnosis and prognosis: A systematic review and meta-analysis

Wang, Bi Jiong; Tang, Yao; Yu, Bi Yun; Gui, Di; Xu, Hui

doi:10.3934/mbe.2019340

Cited by 6 publications

(5 citation statements)

References 36 publications

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“…A study of 66 NSCLC patients found that patients with high LC3 expression had a better prognosis than those with low LC3 expression [ 36 ]. Furthermore, a systematic review and meta-study of p62/SQSTM1 in lung cancer patients found that overexpression of p62 was linked to overall survival in lung cancer patients [ 37 , 38 ]. Beclin-1 expression was negatively correlated with tumor size and tumor stage of lung adenocarcinoma, and Beclin-1 expression was decreased in NSCLC tissues compared with normal tissues [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Establishment and validation of individualized clinical prognostic markers for LUAD patients based on autophagy-related genes

Fei

et al. 2022

Aging

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There is considerable heterogeneity in the genomic drivers of lung adenocarcinoma, which has a dismal prognosis. Bioinformatics analysis was performed on lung adenocarcinoma (LUAD) datasets to establish a multi-autophagy gene model to predict patient prognosis. LUAD data were downloaded from The Cancer Genome Atlas (TCGA) database as a training set to construct a LUAD prognostic model. According to the risk score, a Kaplan-Meier cumulative curve was plotted to evaluate the prognostic value. Furthermore, a nomogram was established to predict the three-year and five-year survival of patients with LUAD based on their prognostic characteristics. Two genes (ITGB1 and EIF2AK3) were identified in the autophagy-related prognostic model, and the multivariate Cox proportional risk model showed that risk score was an independent predictor of prognosis in LUAD patients (HR=3.3, 95%CI= 2.3 to 4.6, P< 0.0001). The Kaplan-Meier cumulative curve showed that low-risk patients had significantly better overall (P<0.0001). The validation dataset GSE68465 further confirmed the nomogram's robust ability to assess the prognosis of LUAD patients. A prognosis model of autophagy-related genes based on a LUAD dataset was constructed and exhibited diagnostic value in the prognosis of LUAD patients. Moreover, real-time qPCR confirmed the expression patterns of EIF2AK3 and ITGB1 in LUAD cell lines. Two key autophagy-related genes have been suggested as prognostic markers for lung adenocarcinoma.

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Section: Discussionmentioning

confidence: 99%

Establishment and validation of individualized clinical prognostic markers for LUAD patients based on autophagy-related genes

Fei

et al. 2022

Aging

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“…No language or publication date restrictions were imposed on the search. In reference to a comparable meta-analysis examining the clinicopathological features and prognostic usefulness of biomarkers, [ 43 , 44 ] the following search phrases were employed: lung cancer or lung tumor or bronchogenic carcinoma or non-small cell lung cancer; mammalian target of rapamycin or mTOR or p-mTOR or phosphorylated mammalian target of rapamycin; prognosis or prognostic or survival. In addition, the references of relevant literature were manually examined to verify that the literature search was exhaustive.…”

Section: Methodsmentioning

confidence: 99%

The clinicopathological and prognostic significance of mTOR and p-mTOR expression in patients with non-small cell lung cancer: A meta-analysis

et al. 2022

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Background: The mammalian target of rapamycin (mTOR) has a crucial role in carcinogenesis, angiogenesis, cellular proliferation, and metastasis; however, its significance in non-small cell lung cancer (NSCLC) remains contentious. Consequently, this study aims to assess the clinicopathological and prognostic importance of mTOR/p-mTOR expression in NSCLC. Methods: Literature retrieval was undertaken by searching English databases PubMed, EMBASE, Web of Science, and Cochrane Library as well as Chinese databases CNKI, Wan Fang, and VIP for full-text publications that satisfied our eligibility criteria up to November 2021. STATA 12.0 was used to conduct statistical analysis (STATA Corporation, College Station, TX). Results: This meta-analysis includes a total of 4683 patients from 28 primary publications. mTOR/p-mTOR expression was associated with sex (OR = 0.608, 95% CI: 0.442–0.836), lymph node metastasis (OR = 2.084, 95% CI: 1.437–3.182), and CEA (OR = 1.584, 95% CI: 1.135–2.209), but not with age, histological type, depth of tumor invasion, distant metastasis, TNM stage, differentiation degree, tumor size, or smoking. In addition, the expression of mTOR/p-mTOR is related to shorter overall survival in NSCLC patients (HR = 1.415, 95% CI: 1.051–1.905). Conclusion: Positive mTOR/p-mTOR expression was substantially correlated with unfavorable conditions on the sex, lymph node metastases, and CEA levels. mTOR/p-mTOR may indicate a bad prognosis for NSCLC. The current findings must be confirmed and changed by other high-quality research employing a multivariate analysis on bigger sample size.

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“…In human liver tissues, high expression of SQSTM1 correlates with rapid recurrence of resectable hepatocellular carcinoma which demonstrated its oncogenic role (11). According to a meta-analysis, high expression of SQSTM1 was associated with poor overall survival in lung cancer and might be useful to predict prognosis of lung cancer (12). On the other hand, previous study indicated that SQSTM1 enhanced breast cancer stem-like properties and promoted breast cancer metastasis promoter by binding vimentin (13,14).…”

Section: Introductionmentioning

confidence: 99%

Prognostic Significance of SQSTM1 in Breast Cancer: A Comprehensive Analysis

Liu

Sun

et al. 2020

Preprint

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Background: SQSTM1 (Sequestosome 1, p62) is degraded by activated autophagy and involved in the progression of in various types of cancers. However, the prognostic role and underlying regulation mechanism of SQSTM1 in the progression and development of breast cancer remain unclear.Methods: In this study, 1336 samples with available mRNA data from Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) database and 27 formalin fixation and paraffin embedding (FFPE) tissue samples from the First Affiliated Hospital of Xi’an Jiaotong University were collected to evaluate SQSTM1 expression in mRNA and protein levels. Kaplan–Meier and Cox regression were used for revealing prognostic value in three independent breast cancer independent datasets. Tumor Immune Estimation Resource (TIMER) database and Gene Set Variation Analysis (GSVA) was used to explore the relationship of SQSTM1 mRNA expression and immune infiltration level in breast cancer. Dysregulation mechanisms of SQSTM1 were also explored including copy number variation (CNV), somatic mutation, epigenetic alterations and other transcription and post-transcription level using multiple datasets. Finally, Gene Set Enrichment Analysis (GSEA) was constructed to elucidate functional regulating performance of SQSTM1 in breast cancer.Results: The results showed that mRNA and protein level of SQSTM1 were significantly elevated in breast cancer and receiver operating characteristic (ROC) curve showed that p62 may act as diagnostic biomarker. Lower expression of SQSTM1 predicted better outcome through multiple datasets. It was also found that SQSTM1 correlated with immune infiltrates in breast cancer. Moreover, CNV and methylation of SQSTM1 DNA was correlated with SQSTM1 dysregulation and act as prognostic factors for breast cancer patients. Yet, somatic mutation status of SQSTM1 didn’t show any prognostic relevance. We also identified diverse transcription factors that directly bound to SQSTM1 DNA and the miRNAs which may regulate SQSTM1 mRNA. Finally, functional enrichment analysis revealed that SQSTM1 is related to cell signal transduction, oxidative stress and autophagy in breast cancer.Conclusion: Our findings revealed that overexpression of SQSTM1 significantly to poor survival and immune infiltrations in breast cancer. In addition, SQSTM1 plays a key role in the progression of breast cancer and might be a promising biomarker for the diagnosis and personalized treatment of breast cancer patients.

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Expression of autophagy-related factor p62 for lung cancer diagnosis and prognosis: A systematic review and meta-analysis

Cited by 6 publications

References 36 publications

Establishment and validation of individualized clinical prognostic markers for LUAD patients based on autophagy-related genes

Establishment and validation of individualized clinical prognostic markers for LUAD patients based on autophagy-related genes

The clinicopathological and prognostic significance of mTOR and p-mTOR expression in patients with non-small cell lung cancer: A meta-analysis

Prognostic Significance of SQSTM1 in Breast Cancer: A Comprehensive Analysis

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