Evidence map›Paper›PMID 34247605›Full record

ReviewCancer cell international2021

PCAT6 may be a new prognostic biomarker in various cancers: a meta-analysis and bioinformatics analysis.

Song-Bo Shi, Qing-Hao Cheng, Shi-Yi Gong, Ting-Ting Lu, Shi-Fang Guo, Shao-Ming Song, Yu-Ping Yang, Qi Cui, Ke-Hu Yang, Yao-Wen Qian

Open access · goldAbstract readReview
In one paragraph

Review in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Review
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 1 institution in 2 countries.

Song-Bo Shi *Gansu Provincial Hospital, 204 Dong gang West Road, Cheng guan District, Lanzhou, China.
Qing-Hao Cheng *Gansu Provincial Hospital, 204 Dong gang West Road, Cheng guan District, Lanzhou, China.
Shi-Yi Gong *Gansu Provincial Hospital, 204 Dong gang West Road, Cheng guan District, Lanzhou, China.
Ting-Ting LuGansu Provincial Hospital, 204 Dong gang West Road, Cheng guan District, Lanzhou, China.
Shi-Fang GuoGansu Provincial Hospital, 204 Dong gang West Road, Cheng guan District, Lanzhou, China.
Shao-Ming SongGansu Provincial Hospital, 204 Dong gang West Road, Cheng guan District, Lanzhou, China.
Yu-Ping YangGansu Provincial Hospital, 204 Dong gang West Road, Cheng guan District, Lanzhou, China.
Qi CuiGansu Provincial Hospital, 204 Dong gang West Road, Cheng guan District, Lanzhou, China.
Ke-Hu YangInstitution of Clinical Research and Evidence-Based Medicine, The Gansu Provincial Hospital, Lanzhou, China. kehuyangebm2020@163.com.
Yao-Wen QianGansu Provincial Hospital, 204 Dong gang West Road, Cheng guan District, Lanzhou, China. 3416556185@qq.com.ORCID https://orcid.org/0000-0002-2773-1546
Gansu Provincial Hospital · CN

Funding

Fundamental Research Funds for the Central Universities 2020jbkyzx001Fundamental Research Funds for the Central Universities lzujbky-2020-kb20
6 · The paper itself

Abstract

backgroundLncRNA prostate cancer-associated transcript 6 (PCAT6) has been reported to be dysregulated in several cancers and is associated with tumor progression. Here, we have performed a meta-analysis to assess the general prognostic role of PCAT6 in malignancies.

methodsFour public databases (Embase, Pubmed, Web of Science, Cochrane Library) were used to identify eligible studies, then data was extracted and associations between prognostic indicators and clinical characteristics were combined to estimate hazard ratio (HR) or odds ratio (OR) with a 95% confidence interval (CI). Publication bias was measured using the Begg's test, and the stability of the combined results was measured using sensitivity analysis. Subsequently, results were validated using Gene Expression Profiling Interactive Analysis (GEPIA) and the National Genomics Data Center (NGDC).

resultsTen studies were considered eligible for inclusion. In total, 937 patients and eight types of cancer were included. Our results revealed that overexpression of PCAT6 was significantly associated with a shorter OS (HR = 1.82; 95% CI, [1.40, 2.38]; P < 0.0001) and progression-free survival (PFS) (HR = 1.66; 95% CI, [1.22, 2.25]; P < 0.0001) in cancer patients, and that PCAT6 overexpression was significantly associated with individual tumor clinicopathological parameters, including TNM stage (OR = 0.29; 95% CI, [0.09, 0.94]; P = 0.04), gender (OR = 1.84; 95% CI, [1.31, 2.59]; P = 0.0005), and whether the tumor was metastatic (OR = 5.02; 95% CI, [1.36, 18.57]; P = 0.02). However, PCAT6 overexpression was not correlated with patient age and tumor differentiation. PCAT6 expression was significantly up-regulated in four types of cancer, which was validated using the GEPIA cohort. Combining OS and disease-free survival (DFS) of these four types of cancer revealed a shorter OS and DFS in patients with PCAT6 overexpression. PCAT6 expression in various types of cancer was also validated in NGDC. A total of eight cancers were analyzed and PCAT6 was highly expressed in all eight cancers. Further functional predictions suggest that PCAT6 is correlated with tumor prognosis, and that PCAT6 may be useful as a new tumor-specific marker.

conclusionsLncRNA PCAT6 is highly expressed in multiple cancer types and its upregulation was significantly associated with patient prognosis and poorer clinical features, thereby suggesting that PCAT6 may be a novel prognostic factor in multiple cancer types.

Indexed as

CancerslncRNA PCAT6Meta-analysisPrognosis

Identifiers

PMID34247605
PMCPMC8273986
OpenAlexW3178560990

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.