Evidence map›Paper›PMID 29872507›Full record

ArticleOncotarget2018

Prognostic significance of immune cells in non-small cell lung cancer: meta-analysis.

Ross A Soo, Zhaojin Chen, Rebecca Siew Yan Teng, Hon-Lyn Tan, Barry Iacopetta, Bee Choo Tai, Richie Soong

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 4% 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

64 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

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  16. Targeting tumor-infiltrating CCR8Journal of translational medicine · 2024
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4 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

7 authors at 3 institutions in 2 countries.

Ross A SooDepartment of Haematology-Oncology, National University Health System, Singapore.
Zhaojin ChenInvestigational Medicine Unit, National University Health System, Singapore.
Rebecca Siew Yan TengYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Hon-Lyn TanDepartment of Haematology-Oncology, National University Health System, Singapore.
Barry IacopettaSchool of Surgery, The University of Western Australia, Perth, Australia.
Bee Choo TaiInvestigational Medicine Unit, National University Health System, Singapore.
Richie SoongCancer Science Institute of Singapore, National University of Singapore, Singapore.
National University Health System · SGNational University of Singapore · SGUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor-associated immune cells are prognostic in non-small cell lung cancer (NSCLC) but findings have been conflicting.

objectivesTo determine the prognostic role of immune cells according to localization in NSCLC patients.

methodsA systematic literature review and meta-analysis was performed on dendritic cell (DC), tumor associated macrophages (TAM), mast cells (MC), natural killer (NK) cells, T and B cells and tumor CTLA-4 and PD-L1 studies.

resultsWe analysed 96 articles (

conclusionTumor and stroma DC, NK cells, M1 TAMs, CD8+ T cells and B cells were associated with improved prognosis and tumor PD-L1, stromal M2 TAMs and Treg cells had poorer prognosis. Higher quality studies are required for confirmation.

Indexed as

dendritic cellsimmune cellsmast cellsnon-small cell lung cancertumor associated macrophages

Identifiers

PMID29872507
PMCPMC5973851
OpenAlexW2885762306

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.