Roles of Beclin1 protein expression in cervical cancer: a meta-analysis and bioinformatics analysis

Figures & data

Table 1. Main characteristics of eligible studies.

Author	Country	Antibody supplier	Cases	Ctr	Risk to cancer	Follow-up outcome	Quality
Zhang XN et al. (2018)	China		72	20	Reduced	Positive	7
Zhou M et al. (2020)	China	R&D	80	20	Reduced		8
Zhang J et al. (2019)	China	Nakasugi Jinqiao	100	100	Reduced		9
Zhang J et al. (2017)	China	Abcam	50	20	Reduced		8
Zhang XN et al. (2016)	China		90	20	Reduced		8
Wu RH and Zheng (2010)	China	Santa Cruz	85	30	Reduced		8
Wu L and Guo (2017)	China		50	20	Reduced		8
Li XL et al. (2020)	China	ABGENT	50	50	Reduced		7
Meng et al. (2019)	China	Abcam	54	13	Reduced	Positive	7
Li Y et al. (2013)	China		50	12	Reduced		7
Wang ZH et al. (2010)	China	Santa Cruz	81	20	Reduced		7
Zhou GQ et al. (2019)	China	Abcam	120	50	Reduced		8
Wu GR et al. (2020)	China	Abcam	47	15	Reduced		7
Zhao et al. (2017)	China	Santa Cruz	80	20	Reduced		8
Wang XW et al. (2018)	China	Santa Cruz	30	30	Reduced		7
Li Y et al. (2018)	China		45	45	Reduced		7
Hang et al. (2020)	China	Abcam	80	30	Reduced		7
He and Ren (2019)	China	Abcam	43	20	Reduced		8
Zhang XN et al. (2017)	China		43	40	Reduced		8
Zhu et al. (2012)	China		50	26	Reduced	Positive	7
Cheng HY et al. (2012)	China		122	31	Reduced		8

Figure 1. Flow diagram of article selection.

Figure 2. Forest plot of the relationship between Beclin1 expression and clinicopathological features of cervical cancer. (A) Cancer and normal tissue. (B) Cancer and CIN. (C) CIN and normal tissue. (D) Lymph node metastasis. (E) Degree of differentiation. (F) Depth of invasion. (G) Tumour size. (H) Patient survival rate. CIN: cervical intraepithelial neoplasia.

Figure 3. Funnel plot for testing publication bias between Beclin1 expression cervical cancer. Publication bias was analysed according to the degree of risk of Beclin1 expression in (A) cervical cancer. Publication bias was also tested between Beclin1 expression and clinicopathological features of cervical cancer, including (A) cancer and normal tissue. (B) Cancer and CIN. (C) CIN and normal tissue. (D) Lymph node metastasis. (E) Degree of differentiation. (F) Depth of invasion. (G) Tumour size. (H) Patient survival rate. CIN: cervical intraepithelial neoplasia; SE: standard error; RD: risk difference.

Figure 4. Beclin1 mRNA expression was positively correlated with (A) overall survival in patients with cervical cancer. HR: risk ratio. Beclin1 mRNA expression in the occurrence of cervical cancer. Bioinformatics analysis was performed using Bie's and D 'Pyeon's data sets to analyse the expression of Beclin1 mRNA during the development of cervical cancer. Beclin1 expression was lower in (B) cervical cancer tissues than in (C) normal cervical epithelial tissues.

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Data availability statement

All data used in this paper are from published articles and public data platforms, including Kaplan–Meier plotter and Oncomine. The prognostic significance of Beclin1 mRNA was analysed using Kaplan–Meier plotter (http://kmplot.com). Additionally, the expression level of Beclin1 was analysed using Oncomine (www.oncomine.org), a cancer microarray database and web-based data mining platform for a new discovery from genome-wide expression analyses.