Evidence map›Paper›PMID 32426049›Full record

ArticleTherapeutic advances in medical oncology2020

Predicting STAT1 as a prognostic marker in patients with solid cancer.

Jinguo Zhang, Fanchen Wang, Fangran Liu, Guoxiong Xu

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 56 citations in OpenAlex.

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  19. STAT1 suppresses the transcriptional activity of TRIM21 in gastric cancer.Journal of cancer research and clinical oncology · 2023
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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

4 authors at 2 institutions in 1 country.

Jinguo ZhangResearch Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China.
Fanchen WangResearch Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China.
Fangran LiuResearch Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China.
Guoxiong XuResearch Center for Clinical Medicine, Jinshan Hospital, Fudan University, 1508 Longhang Road, Shanghai, 201508, P.R. China.ORCID https://orcid.org/0000-0002-9074-8754
Shanghai Medical College of Fudan University · CNJinshan Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAberrant activities of signal transducer and activator of transcription 1 (STAT1) have been implicated in cancer development. However, the prognostic value of STAT1 remains unclear. This report identified the role of STAT1 in prognosis in patients with solid cancer through open literature and The Cancer Genome Atlas (TCGA) database.

methodsPublished articles were obtained from PubMed, Web of Science, and Embase databases according to a search strategy up to October 2019. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were extracted to assess the prognostic factors of patients. TCGA datasets were used to explore the prognostic value of STAT1 in various cancers.

resultsA total of 15 studies incorporating 2839 patients with solid cancers were included. Pooled data showed that overexpressed STAT1 favored long overall survival (OS) (HR = 0.604, 95% CI = 0.431-0.846,

conclusionSTAT1 has been identified to have prognostic value in patients with solid cancer. Highly expressed STAT1 may predict prognosis in cancer patients based on their tumor types.

Indexed as

meta-analysisoverall survivalprognosisSTATTCGAtumor progress

Identifiers

PMID32426049
PMCPMC7222261
OpenAlexW3022520709

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.