Evidence map›Paper›PMID 29190970›Full record

ArticleOncotarget2017

Genome-wide identification of cancer/testis genes and their association with prognosis in a pan-cancer analysis.

Vandeclecio Lira da Silva, André Faustino Fonseca, Marbella Fonseca, Thayna Emilia da Silva, Ana Carolina Coelho, José Eduardo Kroll, Jorge Estefano Santana de Souza, Beatriz Stransky, Gustavo Antonio de Souza, Sandro José de Souza

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

32 citing papers in PubMed, 55 citations in OpenAlex.

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  16. Biomedicines · 2021
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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

10 authors at 3 institutions in 1 country.

Vandeclecio Lira da Silva *Instituto do Cérebro, UFRN, Natal, Brazil.
André Faustino Fonseca *Instituto do Cérebro, UFRN, Natal, Brazil.
Marbella FonsecaInstituto do Cérebro, UFRN, Natal, Brazil.
Thayna Emilia da SilvaInstituto do Cérebro, UFRN, Natal, Brazil.
Ana Carolina CoelhoInstituto do Cérebro, UFRN, Natal, Brazil.
José Eduardo KrollInstituto do Cérebro, UFRN, Natal, Brazil.
Jorge Estefano Santana de SouzaBioinformatics Multidisciplinary Environment (BioME), Digital Metropolis Institute, UFRN, Natal, Brazil.
Beatriz StranskyBioinformatics Multidisciplinary Environment (BioME), Digital Metropolis Institute, UFRN, Natal, Brazil.
Gustavo Antonio de SouzaInstituto do Cérebro, UFRN, Natal, Brazil.
Sandro José de SouzaInstituto do Cérebro, UFRN, Natal, Brazil.
Universidade Federal do Rio Grande do Norte · BRInstituto do Cérebro de Brasília · BRPorto Digital (Brazil) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer/testis (CT) genes are excellent candidates for cancer immunotherapies because of their restrict expression in normal tissues and the capacity to elicit an immune response when expressed in tumor cells. In this study, we provide a genome-wide screen for CT genes with the identification of 745 putative CT genes. Comparison with a set of known CT genes shows that 201 new CT genes were identified. Integration of gene expression and clinical data led us to identify dozens of CT genes associated with either good or poor prognosis. For the CT genes related to good prognosis, we show that there is a direct relationship between CT gene expression and a signal for CD8+ cells infiltration for some tumor types, especially melanoma.

Indexed as

biomarkerscancer antigenscancer/testisprognosis

Identifiers

PMID29190970
PMCPMC5696236
OpenAlexW2761128873

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.