Evidence map›Paper›PMID 35211625›Full record

SynthesisBioMed research international2022

Prognostic Significance of SPARC Expression in Breast Cancer: A Meta-Analysis and Bioinformatics Analysis.

Shuai Shi, Hong-Yan Ma, Xin-Ying Han, Yin-Zhou Sang, Ming-Yue Yang, Zhi-Gang Zhang

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Shuai ShiDepartment of Pathology, Cangzhou People's Hospital, Cangzhou 061000, China.
Hong-Yan MaDepartment of Pathology, Cangzhou People's Hospital, Cangzhou 061000, China.
Xin-Ying HanDepartment of Pathology, Cangzhou People's Hospital, Cangzhou 061000, China.
Yin-Zhou SangDepartment of Pathology, Cangzhou People's Hospital, Cangzhou 061000, China.
Ming-Yue YangDepartment of Pathology, Cangzhou People's Hospital, Cangzhou 061000, China.
Zhi-Gang ZhangDepartment of Pathology, Cangzhou People's Hospital, Cangzhou 061000, China.ORCID https://orcid.org/0000-0002-1674-5176
People's Hospital of Cangzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secreted protein, acidic and rich in cysteine (SPARC, also known as osteonectin), is a small molecule glycoprotein associated with cell secretions. The purpose of our research is to clarify the clinicopathological and prognostic significance of SPARC expression in breast cancer. In this study, we performed a meta-analysis and bioinformatics analysis using the PubMed, Web of Science, Wanfang Data, and CNKI databases. The meta-analysis showed that SPARC expression was elevated in breast cancer tissue, compared with normal tissue, while SPARC expression in tumor stromal cells was higher than that of tumor cells. The expression of SPARC was positively correlated with histological grade and TNM staging. The Kaplan-Meier plotter showed that low SPARC expression was negatively correlated with the overall, postprogression, and distant metastasis survival rates of patients. According to Oncomine database, SPARC expression was upregulated in breast cancer than normal tissues. In TCGA database, univariate analysis showed that lymph node metastasis, distant metastasis, and TNM staging were negatively correlated with patient prognosis in breast cancers. Cox multivariate analysis showed that age, lymph node metastasis, distant metastasis, and TNM staging were important factors affecting the survival time of breast cancer patients. SPARC expression can be employed as a good indicator of prognosis of breast cancer patients, which will provide new methods and ideas of preventive treatment.

Indexed as

Breast NeoplasmsComputational BiologyDisease ProgressionFemaleHumansOsteonectinPrognosisOsteonectinSPARC protein, human

Identifiers

PMID35211625
PMCPMC8863438
OpenAlexW4212989832

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.