| Literature DB >> 35482980 |
Xiaoru Qin1, Qifan Yin1, Jin Gao1, Xiaoming Shi1, Jiachen Tang1,2, Lingling Hao1,2, Pengfei Li1,2, Jia Zhu1,2, Yuexin Wang1.
Abstract
BACKGROUND: The prognostic value of SPRY4-Intronic transcript 1 (SPRY4-IT1) in women suffering from breast carcinoma and malignant tumors of the reproductive system remains to be ascertained. Therefore, this paper attempted to assess the relationship between SPRY4-IT1 with the clinicopathological indicators and survival analysis in women suffering from breast carcinoma and malignant tumors of their reproductive organs through meta-analysis.Entities:
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Year: 2022 PMID: 35482980 PMCID: PMC9276090 DOI: 10.1097/MD.0000000000028969
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
The basic characteristics of the enrolled papers in the study.
| SPRY4-IT1 | Age | LNM | TNM | P | OS | DFS | ||||||||||||||||||||||||||||||
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| ≤50 | >50 | Negative | positive | I/II | III/IV | Age | LNM | TNM | outcome | Follow-up(Years) | HR | Lower CI | Upper CI | HR | Lower CI | Upper CI | ||||||||||||||||||||
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| Year | nationality | type of cancer | blood or tissue | Expression | Method | Sample size | High | low | Low | High | Low | High | Low | High | Low | High | Statistical power | HR(Multivariate) | Population selectionscore | Comparablity score | Results score | NOS | ||||||||||||||
| Zheng [ | 2019 | China | Breast cancer | tissue | up-regulation | qRT-PCR | 60 | 41 | 19 | 9 | 24 | 10 | 17 | 9 | 3 | 10 | 38 | NR | NR | 2.704 | 0.002 | NR | OS,DFS | 6.7 | 1.45 | 0.39 | 5.31 | 1.31 | 0.35 | 4.91 | 0.48 | NO | 2 | 2 | 2 | 6 |
| Xiang [ | 2019 | China | Breast cancer | tissue | up-regulation | qRT-PCR | 102 | 52 | 50 | 23 | 30 | 27 | 22 | 30 | 18 | 20 | 34 | 65 | 37 | 0.237 | 0.01 | 0.0008 | OS,DFS | 10 | 7.812 | 1.311 | 46.545 | 4.322 | 1.205 | 15.500 | 0.71 | Yes | 2 | 2 | 3 | 7 |
| Wang [ | 2019 | China | Breast cancer | tissue | up-regulation | qRT-PCR | 99 | 48 | 51 | 24 | 17 | 27 | 31 | 46 | 31 | 5 | 17 | 70 | 29 | 0.240 | <0.01 | <0.01 | OS,DFS | 8 | 4.216 | 1.241 | 5.809 | 3.328 | 1.271 | 4.314 | 0.69 | Yes | 3 | 2 | 2 | 7 |
| Mehdi.Mohebi[ | 2020 | Iran | Breast cancer | tissue | up-regulation | qRT-PCR | 69 | 43 | 27 | 15 | 23 | 12 | 20 | NR | NR | NR | NR | 40 | 20 | 0.86 | NR | 0.25 | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | 3 | 2 | 1 | 6 |
| Song[ | 2019 | China | Breast cancer | tissue | up-regulation | NR | 101 | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | OS | NR | 1.6 | 1.17 | 2.19 | NR | NR | NR | NR | NR | 2 | 1 | 3 | 6 |
| CaoY.[ | 2016 | China | Cervical cancer | tissue | up-regulation | qRT-PCR | 100 | 54 | 46 | NR | NR | NR | NR | 45 | 19 | 9 | 27 | 110 | NR | NR | <0.001 | <0.001 | OS | 5 | 3.87 | 1.38 | 10.83 | NR | NR | NR | 0.74 | Yes | 3 | 2 | 2 | 7 |
| Li H. [ | 2017 | China | Ovarian cancer | tissue | up-regulation | qRT-PCR | 124 | 62 | 62 | 25 | 29 | 37 | 33 | 45 | 30 | 17 | 32 | 48 | 76 | 0.469 | 0.006 | <0.001 | OS | 5 | 5.283 | 1.209 | 8.138 | NR | NR | NR | 0.79 | Yes | 2 | 2 | 2 | 6 |
| Jing [ | 2019 | China | Ovarian cancer | tissue | down-regulation | qRT-PCR | 15 | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR | OS,DFS | 2 | 0.60 | 0.23 | 1.56 | 0.35 | 0.13 | 0.94 | NR | NR | 3 | 1 | 2 | 6 |
Figure 1The entire process of literature search has been depicted in the flow diagram.
Summary of the meta-analysis results of the included papers.
| Heterogenity | Heterogenity | |||||||||||||
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| Clinicopathogical parameters | Studies N | Number of patients references | OR (95%CI) |
| Model | studies N | Number of patients references | HR (95%CI) |
| Model | ||||
| Age | 5 | 12,14,15,17,18 | 0.89 (0.61–1.29) | .54 | 0.00 | 0.47 | Fixed-effect | NR | NR | NR | NR | NR | NR | NR |
| lymph node metastasis | 5 | 12,14,15,16,17 | 4.15 (2.75–6.25) | .00 | 21.40 | 0.28 | Fixed-effect | 4∗ | 14,15,16,17 | 2.79(1.81–4.28) | .00 | 24.7 | 0.26 | Fixed-effect |
| 2† | 14,15 | 0.97(0.73–1.28) | .81 | 0.00 | 0.81 | Fixed-effect | ||||||||
| TNM stage | 4 | 14,15,17,18 | 3.04 (1.89–4.88) | .00 | 70.80 | 0.02 | Fixed-effect | 2∗ | 14,15 | 1.43(0.55–3.70) | .46 | 75.2 | 0.045 | Random-effect |
| 4 | 14,15,17,18 | 2.89 (1.51–7.27) | .02 | 70.80 | 0.02 | Random-effect | 2† | 14,15 | 1.68 (0.92–3.06) | .09 | 53.9 | 0.14 | Random-effect | |
DFS = disease-free survival, HR = hazard ratio, NR = not report in literature, OS = overall survival.
stands for OS.
stands for DFS.
Figure 2Relationship between SPRY4-IT1 and OS/DFS in female breast carcinoma and reproductive malignant tumors. (A) A total of 601 patients with breast carcinoma and reproductive malignant tumors were gathered from 7 papers. (B) Pooled OS from 4 papers, including 425 patients with female breast carcinoma and reproductive malignant tumors. (C) The data of 201 patients with breast carcinoma were collected from 2 studies. (D) Pooled DFS from 4 papers, including 276 patients with breast carcinoma. (E) Data from 201 patients with breast carcinoma were collected from 2 papers. (F) Data of 201 patients were collected from 2 papers to evaluate whether the expression of SPRY4-IT1 in breast carcinoma was associated with DFS in TNM.
Figure 3SPRY4-IT1 expression and clinicopathological parameters in female breast carcinoma and reproductive malignant tumors. (A) The data of 455 patients with breast carcinoma and reproductive malignant tumors were gathered from 5 papers. (B) The data of 485 patients with breast carcinoma and reproductive malignant tumors were collected from 5 papers. (C) Pooled OR from 4 papers, involving 343 patients with breast carcinoma and reproductive malignant tumors.
Figure 4Begg funnel plot and Eegger funnel plot in the meta-analysis of female breast carcinoma and reproductive malignant tumors. (A) OS for SPRY4-IT1 in Begg funnel plot in the meta-analysis of breast carcinoma and reproductive malignant tumors. (B) OS for SPRY4-IT1 in Egger funnel plot in the meta-analysis of breast carcinoma and reproductive malignant tumors.