Evidence map›Paper›PMID 30318965›Full record

ArticleThe Journal of international medical research2018

High expression of E-cadherin and Ki-67 associated with functional/dysfunctional phenotypes of tumor-infiltrating lymphocytes among Chinese patients with operable breast cancer.

Ruibin Wang, Feng Shi, Lin Zhao, Yanjie Zhao, Guangjiang Wu, Qing-Kun Song

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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 3 institutions in 1 country.

Ruibin Wang1 Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Feng Shi1 Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Lin Zhao2 Xuanwu Hospital, Capital Medical University, Beijing, China.
Yanjie Zhao1 Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Guangjiang Wu1 Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Qing-Kun Song1 Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Beijing Shijitan Hospital · CNCapital Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBreast cancer has become the most common cancer in women in China, and the clinicopathological features differ from those in Western patients. This study was performed to investigate the distribution of programmed cell death protein 1 (PD-1)

methodsIn total, 133 consecutive patients with primary breast cancer were recruited into this cross-sectional study from 2012 to 2013. TILs were measured by cell counts under high-power fields (HPFs). Immunohistochemistry was used to detect PD-1 expression on tumor-infiltrating lymphocytes in the microenvironment.

resultsThe median cell counts of the overall TILs, PD-1

conclusionsPD-1 expression on TILs had different clinicopathological features in Chinese patients with breast cancer. E-Cadherin expression was associated with PD-1

Indexed as

Antigens, CDBiomarkers, TumorBreast NeoplasmsCadherinsChinaCross-Sectional StudiesFemaleFollow-Up StudiesHumansKi-67 AntigenLymphocytes, Tumor-InfiltratingMiddle AgedNeoplasm InvasivenessPhenotypePrognosisProgrammed Cell Death 1 ReceptorAntigens, CDBiomarkers, TumorCadherinsCDH1 protein, humanKi-67 AntigenPDCD1 protein, humanProgrammed Cell Death 1 ReceptorChinese breast cancerE-cadherinimmunohistochemistryKi-67programmed cell death protein 1tumor-infiltrating lymphocytes

Identifiers

PMID30318965
PMCPMC6300947
OpenAlexW2896664784

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.