Evidence map›Paper›PMID 23386907›Full record

ArticleJournal of Cancer2013

Tumor-infiltrating immune cells promoting tumor invasion and metastasis: existing theories.

Yan-Gao Man, Alexander Stojadinovic, Jeffrey Mason, Itzhak Avital, Anton Bilchik, Bjoern Bruecher, Mladjan Protic, Aviram Nissan, Mina Izadjoo, Xichen Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 10 pooled it
4.9field-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

116 citing papers in PubMed, 10 syntheses or guidelines pooled it, 189 citations in OpenAlex.

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56 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

11 authors at 8 institutions in 5 countries.

Yan-Gao Man1. Diagnostic and Translational Research Center, Henry Jackson Foundation, Gaithersburg, MD, USA; ; 2. College of Animal Science and Veterinary Medicine, Jilin University, Changchun, Jilin, China;
Alexander Stojadinovic
Jeffrey Mason
Itzhak Avital
Anton Bilchik
Bjoern Bruecher
Mladjan Protic
Aviram Nissan
Mina Izadjoo
Xichen Zhang
Anahid Jewett
Jackson Foundation · USJilin University · CNAcademy of Fine Arts Munich · DEHadassah Medical Center · ILNational Cancer Institute · USUniversity of California, Los Angeles · USUniversity of Novi Sad · RSWalter Reed National Military Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is a commonly held belief that infiltration of immune cells into tumor tissues and direct physical contact between tumor cells and infiltrated immune cells is associated with physical destructions of the tumor cells, reduction of the tumor burden, and improved clinical prognosis. An increasing number of studies, however, have suggested that aberrant infiltration of immune cells into tumor or normal tissues may promote tumor progression, invasion, and metastasis. Neither the primary reason for these contradictory observations, nor the mechanism for the reported diverse impact of tumor-infiltrating immune cells has been elucidated, making it difficult to judge the clinical implications of infiltration of immune cells within tumor tissues. This mini-review presents several existing hypotheses and models that favor the promoting impact of tumor-infiltrating immune cells on tumor invasion and metastasis, and also analyzes their strength and weakness.

Indexed as

immune cellinvasionmetastasistumor progression

Identifiers

PMID23386907
PMCPMC3564249
OpenAlexW2101076675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.