Evidence map›Paper›PMID 35571634›Full record

ArticleTranslational cancer research2022

Bioinformatics analysis reveals the clinical significance of GIPC2/GPD1L for colorectal cancer using TCGA database.

Zhengdong Zhao, Xinye Cui, Guoxin Guan, Yaqing Liu, Xingming Liu, Zhao Chen, Shili Ning, Fuwen Luo

Open access · diamondAbstract read
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Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 15% 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, 12 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Zhengdong Zhao *Department of General Surgery, The Second Affiliated Hospital, Dalian Medical University, Dalian, China.
Xinye Cui *Department of General Surgery, The Second Affiliated Hospital, Dalian Medical University, Dalian, China.
Guoxin GuanDepartment of General Surgery, The Second Affiliated Hospital, Dalian Medical University, Dalian, China.
Yaqing LiuDepartment of General Surgery, The Second Affiliated Hospital, Dalian Medical University, Dalian, China.
Xingming LiuDepartment of General Surgery, The Second Affiliated Hospital, Dalian Medical University, Dalian, China.
Zhao ChenDepartment of General Surgery, The Second Affiliated Hospital, Dalian Medical University, Dalian, China.
Shili NingDepartment of General Surgery, The Second Affiliated Hospital, Dalian Medical University, Dalian, China.
Fuwen LuoDepartment of General Surgery, The Second Affiliated Hospital, Dalian Medical University, Dalian, China.
Dalian Medical University · CNSecond Affiliated Hospital of Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) causes 700,000 deaths annually and is the fourth deadliest cancer in the world after lung, liver, and stomach cancer. Since CRC is difficult to detect early and has a poor prognosis, it is critical to develop novel biomarkers for its diagnosis, prognosis, and treatment. Methods: The GIPC2 expression in colorectal cancer was examined by the TCGA database analysis, IHC from the human protein atlas and qRT-PCR tests. GO and KEGG enrichment analyses were performed for genes that were both correlated with the expression of GIPC2 and GPD1L. The receiver operating characteristic curve (ROC) analysis and Kaplan-Meier (KM) survival analysis were applied to analyze the prognostic value of GIPC2 and GPD1L for overall survival (OS) and progress free interval (PFI) of CRC patients. Results: We found that GIPC2 was low expressed in colorectal cancer and highly related with the CRC clinical-stage grade and TNM stage. Furthermore, GPD1L is correlated with GIPC2 via the correlation analysis in CRC and they were associated with several important cancer-related pathways. GIPC2 and GPD1L exhibited good diagnostic and prognostic predictive ability for patients with CRC. Conclusions: These results revealed new biomarkers in CRC, we proposed that the GIPC2/GPDL1 might be potential diagnostic and prognostic indicators for CRC, which provides a theoretical basis for our subsequent cellular and animal experiments, so as to reveal the occurrence and development mechanism of CRC more comprehensively.

Indexed as

bioinformatics analysiscolorectal cancer (CRC)GIPC2GPD1L

Identifiers

PMID35571634
PMCPMC9091031
OpenAlexW4239011850

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.