Evidence map›Paper›PMID 27126129›Full record

ArticleJournal of translational medicine2016

Development of a deregulating microRNA panel for the detection of early relapse in postoperative colorectal cancer patients.

I-Ping Yang, Hsiang-Lin Tsai, Zhi-Feng Miao, Ching-Wen Huang, Chao-Hung Kuo, Jeng-Yih Wu, Wen-Ming Wang, Suh-Hang Hank Juo, Jaw-Yuan Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  9. Colorectal cancer: The epigenetic role of microbiome.World journal of clinical cases · 2019
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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 3 institutions in 1 country.

I-Ping YangDepartment of Genomic Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Hsiang-Lin TsaiDivision of General Surgery Medicine, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Zhi-Feng MiaoDivision of Gastroenterology and General Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Ching-Wen HuangGraduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Chao-Hung KuoDivision of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Jeng-Yih WuDivision of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Wen-Ming WangDivision of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Suh-Hang Hank JuoDepartment of Genomic Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Jaw-Yuan WangDepartment of Genomic Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan. cy614112@ms14.hinet.net.
Kaohsiung Medical University Chung-Ho Memorial Hospital · TWKaohsiung Medical University · TWMin-Hwei College of Health Care Management · TW

Funding

Targeting the transcription machinery for fetal globin inductionR56DK105001 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI MAEDA, TAKAHIRO · 2015 to 2015
$142k
NIDDK NIH HHS R56 DK105001
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is the third leading cause of cancer mortality worldwide and is associated with high recurrence and mortality, despite recent advancements in therapeutic strategies. MicroRNA (miR) deregulation is associated with CRC development and recurrence; therefore, miRs may be reliable biomarkers for detecting early relapse postoperatively.

methodsIn this study ten candidates were identified using miR arrays: miR-7, miR-31, miR-93, miR-141, miR-195, miR-375, miR-429, miR-494, miR-650, and let-7b. Substantial differences were observed in their expression levels between early relapsed (recurrences within 12 months after surgery) and non-early relapsed CRC patients. The validation study, including 50 early relapsed and 54 non-early relapsed patients, confirmed miR expression alterations in cancer tissue samples.

resultsUsing a miR real-time quantitative polymerase chain reaction (RT-qPCR), we observed that expression levels of miR-93, miR-195, and let-7b were significantly decreased, whereas those of miR-7, miR-141 and miR-494 showed increases that were more significant in the CRC tissue samples from the early relapsed patients than in those from the non-early relapsed patients. Disease-free survival and overall survival were significantly worse in the high miR-7, miR-141, and miR-494 expression subgroups and the low miR-93 and miR-195 expression subgroups (all P < 0.05). A panel of 6 miRs (miR-7, miR-93, miR-195, miR-141, miR-494, and let-7b), at a cut-off value of 2 deregulated miRs, distinguished early relapsed CRC from non-early relapsed CRC, with a sensitivity of 76.6 % and a specificity of 71.4 %. By combining this 6-miRs panel with 6 clinicopathologic factors, at a cut-off value of 4, distinguished early relapsed CRC from non-early relapsed CRC, with a sensitivity of 89.4 % and a specificity of 88.9 %.

conclusionsThis study showed that the developed miR panel has the potential to improve predicting early relapse in CRC patients.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overColorectal NeoplasmsDisease-Free SurvivalFemaleHumansMaleMicroRNAsMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingReal-Time Polymerase Chain ReactionROC CurveSensitivity and SpecificityMicroRNAsBiomarkerColorectal cancerEarly relapsemiR panel

Identifiers

PMID27126129
PMCPMC4850676
OpenAlexW2342541641

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.