Evidence map›Paper›PMID 26367866›Full record

SynthesisPloS one2015

MUC1 Predicts Colorectal Cancer Metastasis: A Systematic Review and Meta-Analysis of Case Controlled Studies.

Yunhui Zeng, Qiongwen Zhang, Yujie Zhang, Minxun Lu, Yang Liu, Tianying Zheng, Shijian Feng, Meiqin Hao, Huashan Shi

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  9. The research status and prospects of MUC1 in immunology.Human vaccines & immunotherapeutics · 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

9 authors at 1 institution in 1 country.

Yunhui ZengState Key Laboratory of Biotherapy, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Qiongwen ZhangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China; State Key Laboratory of Biotherapy and Department of Head and Neck Oncology, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Yujie ZhangThe Second Integrated Unit, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Minxun LuState Key Laboratory of Biotherapy, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Yang LiuState Key Laboratory of Biotherapy, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Tianying ZhengState Key Laboratory of Biotherapy, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Shijian FengState Key Laboratory of Biotherapy, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Meiqin HaoState Key Laboratory of Biotherapy, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Huashan ShiState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China; State Key Laboratory of Biotherapy and Department of Head and Neck Oncology, West China Hospital, West China Medical School, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the predicting value of MUC1 expression in lymph node and distant metastasis of colorectal cancer (CRC).

methodsPubmed/ MEDLINE and EMBASE were searched to identify eligible studies that evaluated the correlation between MUC1 and CRC. A meta-analysis was conducted to evaluate the impact of MUC1 expression on CRC metastasis.

resultsA total of 18 studies (n = 3271) met inclusion criteria and the mean Newcastle-Ottawa Scale (NOS) score was 6.3 with a range from 4 to 8. The pooled OR in the meta-analysis of 15 studies indicated that positive MUC1 expression correlated with more CRC node metastasis (OR = 2.32, 95% CI = 1.63-3.29). The data synthesis of 6 studies suggested that MUC1 expression predicted more possibility of CRC distant metastasis (OR = 2.22, 95% CI = 1.23-4.00). In addition, the combined OR of 7 studies showed that MUC1 expression indicated higher Duke's stage (OR = 3.02, 95% CI = 2.11-4.33). No publication bias was found in the mate-analysis by Begg's test or Egger's test with the exception of the meta-analysis of MUC1 with CRC node metastasis (Begg's test p = 0.729, Egger's test p = 0.000).

conclusionsDespite of some modest bias, the pooled evidence suggested that MUC1 expression was significantly correlated with CRC metastasis.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorColorectal NeoplasmsFemaleHumansMaleMucin-1Neoplasm MetastasisPredictive Value of TestsBiomarkers, TumorMUC1 protein, humanMucin-1

Identifiers

PMID26367866
PMCPMC4569423
OpenAlexW2339445632

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.