Evidence map›Paper›PMID 35842661›Full record

ArticleDiagnostic pathology2022

Association of PD-1/PD-L1 expression and Epstein--Barr virus infection in patients with invasive breast cancer.

Wei-Tong Zhang, Gui-Lu Zhu, Wu-Qin Xu, Wei Zhang, Hui-Zhen Wang, Ya-Bing Wang, Yong-Xiang Li

Open access · goldAbstract read
In one paragraph

Article in Diagnostic pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. The viral origins of breast cancer.Infectious agents and cancer · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Soluble PD-L1 as a diagnostic and prognostic biomarker in resectable gastric cancer patients.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023
    Article
  10. Article
  11. Neoantigens: promising targets for cancer therapy.Signal transduction and targeted therapy · 2023
    Review
  12. Review
  13. Review
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

7 authors at 3 institutions in 1 country.

Wei-Tong ZhangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Gui-Lu ZhuDepartment of Clinical Pathology, Yijishan Hospital, Wannan Medical College, Wuhu, 241001, China.
Wu-Qin XuDepartment of Clinical Pathology, Yijishan Hospital, Wannan Medical College, Wuhu, 241001, China.
Wei ZhangDepartment of Clinical Pathology, Yijishan Hospital, Wannan Medical College, Wuhu, 241001, China.
Hui-Zhen WangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Ya-Bing WangBreast Surgery, Yijishan Hospital, Wannan Medical College, Wuhu, 241001, China. wangeb3@sina.com.
Yong-Xiang LiDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China. liyongxiang@ahmu.edu.cn.
Wannan Medical College · CNAnhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

National Natural Science Foundation of China No.81874063Natural Science Foundation of Anhui Province No.2008085QH408
6 · The paper itself

Abstract

purposeCausative factors of breast cancer include infections, such as Epstein-Barr virus (EBV) infection. The aim of this study was to analyze the clinicopathological features of EBV-positive (IBC) and determine if EBV affects programmed cell death receptor 1 (PD-1)/PD ligand 1 (PD-L1) expression in IBC, similar to other EBV-infected tumors with PD-L1/PD-1 expression.

methodsWe collected 140 samples of IBC tissues and 25 samples of adjacent tissues. All patients were followed-up by telephone from the day of surgery to December 2020. Chromogenic in-situ hybridization was performed to evaluate EBV-encoded RNA (EBER). Immunohistochemistry was performed to evaluate PD-L1 and PD-1 expressions. The correlation between PD1/PDL1 expression and clinicopathological features was also analyzed.

resultsEBER was detected in 57 of 140 (40.7%) IBC tissues and not detected in any adjacent tissue (P < 0.05). Clinicopathologic features of patients were consistent with EBV-associated IBC. EBV infection was correlated with the mass size, menopausal status, axillary lymph node metastasis, vascular invasion, Ki-67 index, clinical stage, and estrogen receptor and progesterone receptor expressions (all P < 0.05), but not with the histological type, invasive ductal carcinoma histological grade, or human epidermal growth factor receptor 2 (HER2) expression (all P > 0.05). The positive rate of PD-1/PD-L1 expression was higher in the EBV-positive group than in the EBV-negative group (P < 0.05). The Kaplan-Meier univariate survival analysis showed that EBV was associated with poor disease-free survival and overall survival in patients with IBC. PD-L1/PD-1 expression could predict a poor prognosis.

conclusionsIn this study, clinicopathologic characteristics of patients were consistent with EBV-infected IBC. Patients with EBV-positive breast cancer were more likely to have elevated PD-1/PDL-1 expression compared to those with EBV-negative breast cancer. This finding could serve as a basis to explore therapeutic targets, particularly immunotherapy, for patients with IBC.

Indexed as

Breast NeoplasmsEpstein-Barr Virus InfectionsB7-H1 AntigenBiomarkers, TumorFemaleHerpesvirus 4, HumanHumansLigandsPrognosisProgrammed Cell Death 1 ReceptorB7-H1 AntigenBiomarkers, TumorLigandsProgrammed Cell Death 1 ReceptorBreast cancerEpstein-Barr virusImmunotherapyPD-1PD-L1

Identifiers

PMID35842661
PMCPMC9287995
OpenAlexW4285588062

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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.