Evidence map›Paper›PMID 33240680›Full record

ArticlePeerJ2020

High cytoplasmic YAP1 expression predicts a poor prognosis in patients with colorectal cancer.

Tianqi Dong, Yuncang Yuan, Xudong Xiang, Shuping Sang, Hao Shen, Lei Wang, Chunyan Yang, Fangfang Li, Hongliang Li, Shangyong Zheng

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 8 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

10 authors at 2 institutions in 1 country.

Tianqi DongSchool of Medicine, Yunnan University, Kunming, Yunnan, China.
Yuncang YuanSchool of Medicine, Yunnan University, Kunming, Yunnan, China.
Xudong XiangDepartment of Thoracic Surgery, Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Shuping SangSchool of Medicine, Yunnan University, Kunming, Yunnan, China.
Hao ShenSchool of Medicine, Yunnan University, Kunming, Yunnan, China.
Lei WangSchool of Medicine, Yunnan University, Kunming, Yunnan, China.
Chunyan YangSchool of Medicine, Yunnan University, Kunming, Yunnan, China.
Fangfang LiSchool of Medicine, Yunnan University, Kunming, Yunnan, China.
Hongliang LiSchool of Medicine, Yunnan University, Kunming, Yunnan, China.
Shangyong ZhengSchool of Medicine, Yunnan University, Kunming, Yunnan, China.
Yunnan University · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeYes associated protein 1 (YAP1), which is a standout amongst the most essential effectors of the Hippo pathway, assumes a vital part in a few kinds of cancer. However, whether YAP1 is an oncogene in CRC (colorectal cancer) remains controversial, and the association between the subcellular localization of YAP1 and clinical implications in CRC remains unknown. PATIENTS AND

methodsIn this study, we investigated the subcellular localization of YAP1 in CRC cells by immunohistochemistry and then associate these findings with clinical information in a large CRC cohort with 919 CRC patients.

resultsThe results show that CRC tissues has a significant higher expression of cytoplasmic YAP1 compared to adjacent normal tissues (all

conclusionCytoplasmic YAP1 could be could be utilized as a prognosis factor in CRC patients, and may be an indicator of whether certain patients population could benefit from postoperative chemotherapy.

Indexed as

ChemotherapyColorectal cancerImmunohistochemistryPrognosisSubcellular localizationYAP1

Identifiers

PMID33240680
PMCPMC7680625
OpenAlexW3105523655

What OpenQuestion holds

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LicenceCC BY
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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.