Evidence map›Paper›PMID 27227453›Full record

SynthesisPloS one2016

Prognostic and Clinicopathological Value of Programmed Death Ligand-1 in Breast Cancer: A Meta-Analysis.

Yawen Guo, Pan Yu, Zeming Liu, Yusufu Maimaiti, Shan Wang, Xingjie Yin, Chunping Liu, Tao Huang

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Review
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  8. Article
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  15. A Network Pharmacology Study on the Molecular Mechanisms of FDY003 for Breast Cancer Treatment.Evidence-based complementary and alternative medicine : eCAM · 2021
    Article
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  18. Review
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  20. Composite analysis of immunological and metabolic markers defines novel subtypes of triple negative breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2018
    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

8 authors.

Yawen GuoDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science And Technology, Wuhan, China.
Pan YuDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science And Technology, Wuhan, China.
Zeming LiuDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science And Technology, Wuhan, China.
Yusufu MaimaitiDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science And Technology, Wuhan, China.
Shan WangDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science And Technology, Wuhan, China.
Xingjie YinDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science And Technology, Wuhan, China.
Chunping LiuDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science And Technology, Wuhan, China.
Tao HuangDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science And Technology, Wuhan, China.ORCID http://orcid.org/0000-0003-2130-8621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the interest in programmed death ligand-1 (PD-L1) as a prognostic marker in several types of malignant tumors has increased. In the present meta-analysis, we aimed to explore the prognostic and clinicopathological value of PD-L1 in breast cancer. We searched Medline/PubMed, Web of Science, EMBASE, the Cochrane Library databases, and grey literature from inception until January 20, 2016. Studies concerning breast cancer that focused on PD-L1 expression and studies reporting survival data were included; two authors independently performed the data extraction. The pooled risk ratio (RR) and 95% confidence interval (CI) were assessed to determine the association between the clinicopathological parameters of patients and PD-L1 expression. Five studies involving 2061 patients were included in this meta-analysis. The results indicated that positive/higher PD-L1 expression was a negative predictor for breast cancer, with an RR of 1.64 (95% CI, 1.14-2.34) for the total mortality risk and an RR of 2.53 (95% CI, 1.78-3.59) for the mortality risk 10 years after surgery. Moreover, positive/higher PD-L1 expression was significantly associated with positive lymph node metastasis (RR, 1.33; 95% CI, 1.04-1.70), poor nuclear grade (RR, 1.24; 95% CI, 1.07-1.43), and negative estrogen receptor status (RR, 2.45; 95% CI, 1.31-4.60) in breast cancer patients. Our findings suggest that PD-L1 can serve as a significant biomarker for poor prognosis and the adverse clinicopathologic features of breast cancer and could facilitate the better management of individual patients.

Indexed as

B7-H1 AntigenBiomarkers, TumorBreast NeoplasmsFemaleHumansPrognosisB7-H1 AntigenBiomarkers, TumorCD274 protein, human

Identifiers

PMID27227453
PMCPMC4882023

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LicenceCC BY
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Registered trials

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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.