Evidence map›Paper›PMID 26299954›Full record

ReviewActa pharmacologica Sinica2015

Genome-wide analysis of microRNA and mRNA expression signatures in cancer.

Ming-hui Li, Sheng-bo Fu, Hua-sheng Xiao

Open access · hybridAbstract readReview
In one paragraph

Review in Acta pharmacologica Sinica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
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  3. [Research advances in occurrence risk assessment and early-stage diagnosis of hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Review
  4. Article
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  8. Review
  9. MicroRNAs and immunity.Seminars in cell & developmental biology · 2022
    Article
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  13. Review
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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

3 authors at 1 institution in 1 country.

Ming-hui LiNational Engineering Center for Biochip at Shanghai, Shanghai Biotechnology Corporation, Shanghai 201203, China.
Sheng-bo FuNational Engineering Center for Biochip at Shanghai, Shanghai Biotechnology Corporation, Shanghai 201203, China.
Hua-sheng XiaoNational Engineering Center for Biochip at Shanghai, Shanghai Biotechnology Corporation, Shanghai 201203, China.
Shanghai CASB Biotechnology (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is an extremely diverse and complex disease that results from various genetic and epigenetic changes such as DNA copy-number variations, mutations, and aberrant mRNA and/or protein expression caused by abnormal transcriptional regulation. The expression profiles of certain microRNAs (miRNAs) and messenger RNAs (mRNAs) are closely related to cancer progression stages. In the past few decades, DNA microarray and next-generation sequencing techniques have been widely applied to identify miRNA and mRNA signatures for cancers on a genome-wide scale and have provided meaningful insights into cancer diagnosis, prognosis and personalized medicine. In this review, we summarize the progress in genome-wide analysis of miRNAs and mRNAs as cancer biomarkers, highlighting their diagnostic and prognostic roles.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsBiomarkers, TumorGene Expression ProfilingHumansMicroRNAsNeoplasmsRNA, MessengerBiomarkers, TumorMicroRNAsRNA, Messenger

Identifiers

PMID26299954
PMCPMC4648178
OpenAlexW1797628932

What OpenQuestion holds

Textmetadata
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.