Evidence map›Paper›PMID 30728081›Full record

ArticleJournal for immunotherapy of cancer2019

Prognostic value of CD8 + PD-1+ immune infiltrates and PDCD1 gene expression in triple negative breast cancer.

Joe Yeong, Jeffrey Chun Tatt Lim, Bernett Lee, Huihua Li, Clara Chong Hui Ong, Aye Aye Thike, Wei Hseun Yeap, Yi Yang, Ansel Yi Herh Lim, Timothy Kwang Yong Tay and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 4 pooled it
5.8field-weighted citation impact, top 3% 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

66 citing papers in PubMed, 4 syntheses or guidelines pooled it, 101 citations in OpenAlex.

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6 more citing papers are in PubMed but not listed here.

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

18 authors at 7 institutions in 4 countries.

Joe YeongDivision of Pathology, Singapore General Hospital, 20 College Road, Academia, Level 7, Singapore, 169856, Singapore.
Jeffrey Chun Tatt LimDivision of Pathology, Singapore General Hospital, 20 College Road, Academia, Level 7, Singapore, 169856, Singapore.
Bernett LeeSingapore Immunology Network (SIgN), Agency of Science, Technology and Research (A*STAR), 8A, Biomedical Grove, Immunos, Singapore, 138648, Singapore.
Huihua LiDivision of Medicine, Singapore General Hospital, Singapore, Singapore.
Clara Chong Hui OngDivision of Pathology, Singapore General Hospital, 20 College Road, Academia, Level 7, Singapore, 169856, Singapore.
Aye Aye ThikeDivision of Pathology, Singapore General Hospital, 20 College Road, Academia, Level 7, Singapore, 169856, Singapore.
Wei Hseun YeapSingapore Immunology Network (SIgN), Agency of Science, Technology and Research (A*STAR), 8A, Biomedical Grove, Immunos, Singapore, 138648, Singapore.
Yi YangCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
Ansel Yi Herh LimYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Timothy Kwang Yong TayDivision of Pathology, Singapore General Hospital, 20 College Road, Academia, Level 7, Singapore, 169856, Singapore.
Jin LiuCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
Siew-Cheng WongSingapore Immunology Network (SIgN), Agency of Science, Technology and Research (A*STAR), 8A, Biomedical Grove, Immunos, Singapore, 138648, Singapore.
Jinmiao ChenSingapore Immunology Network (SIgN), Agency of Science, Technology and Research (A*STAR), 8A, Biomedical Grove, Immunos, Singapore, 138648, Singapore.
Elaine Hsuen LimNational Cancer Centre Singapore, 11 Hospital Drive, Singapore, 169610, Singapore.
Jabed IqbalDivision of Pathology, Singapore General Hospital, 20 College Road, Academia, Level 7, Singapore, 169856, Singapore.
Rebecca DentNational Cancer Centre Singapore, 11 Hospital Drive, Singapore, 169610, Singapore. rebecca.dent@singhealth.com.sg.
Evan W NewellSingapore Immunology Network (SIgN), Agency of Science, Technology and Research (A*STAR), 8A, Biomedical Grove, Immunos, Singapore, 138648, Singapore. evan_newell@immunol.a-star.edu.sg.
Puay Hoon TanDivision of Pathology, Singapore General Hospital, 20 College Road, Academia, Level 7, Singapore, 169856, Singapore. tan.puay.hoon@singhealth.com.sg.
Singapore General Hospital · SGDuke-NUS Medical School · SGSingapore Immunology Network · SGAgency for Science, Technology and Research · SGNational Cancer Centre Singapore · SGQuantitative BioSciences · USYong In University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of programmed cell death protein-1 (PD-1)/programmed cell death ligand 1 (PD-L1) in triple negative breast cancer (TNBC) remains to be fully understood. In this study, we investigated the role of PD-1 as a prognostic marker for TNBC in an Asian cohort (n = 269). Samples from patients with TNBC were labeled with antibodies against PD-L1 and PD-1, and subjected to NanoString assays to measure the expression of immune-related genes. Associations between disease-free survival (DFS), overall survival (OS) and biomarker expression were investigated. Multivariate analysis showed that tumors with high PD-1

Indexed as

AdultAgedAged, 80 and overB7-H1 AntigenCD8 AntigensCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorRNA, MessengerSurvival AnalysisTriple Negative Breast NeoplasmsB7-H1 AntigenCD274 protein, humanCD8 AntigensPDCD1 protein, humanProgrammed Cell Death 1 ReceptorRNA, MessengerIFNGImmune checkpointPD-1PD-L1TNBC

Identifiers

PMID30728081
PMCPMC6366051
OpenAlexW2918671471

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.