Evidence map›Paper›PMID 35305641›Full record

ReviewCancer cell international2022

MALAT1-related signaling pathways in colorectal cancer.

Wen-Wen Xu, Jin Jin, Xiao-Yu Wu, Qing-Ling Ren, Maryam Farzaneh

Open access · goldAbstract readReview
In one paragraph

Review in Cancer cell international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
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  18. Expression profile of serum LncRNAsNon-coding RNA research · 2024
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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

5 authors at 2 institutions in 2 countries.

Wen-Wen Xu *Department of Gynaecology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing , 210029, Jiangsu, China.
Jin Jin *Department of Gynaecology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing , 210029, Jiangsu, China.
Xiao-Yu WuDepartment of Surgical Oncology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China. wuxiaoyu@medmail.com.cn.
Qing-Ling RenDepartment of Gynaecology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing , 210029, Jiangsu, China. m13773222054@163.com.
Maryam FarzanehFertility, Infertility and Perinatology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID http://orcid.org/0000-0001-6239-8745
Nanjing University of Chinese Medicine · CNAhvaz Jundishapur University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most lethal and prevalent solid malignancies worldwide. There is a great need of accelerating the development and diagnosis of CRC. Long noncoding RNAs (lncRNA) as transcribed RNA molecules play an important role in every level of gene expression. Metastasis-associated lung adenocarcinoma transcript-1 (MALAT1) is a highly conserved nucleus-restricted lncRNA that regulates genes at the transcriptional and post-transcriptional levels. High expression of MALAT1 is closely related to numerous human cancers. It is generally believed that MALAT1 expression is associated with CRC cell proliferation, tumorigenicity, and metastasis. MALAT1 by targeting multiple signaling pathways and microRNAs (miRNAs) plays a pivotal role in CRC pathogenesis. Therefore, MALAT1 can be a potent gene for cancer prediction and diagnosis. In this review, we will demonstrate signaling pathways associated with MALAT1 in CRC.

Indexed as

Colorectal cancerLong non-coding RNAsMALAT1miRNAsSignaling pathways

Identifiers

PMID35305641
PMCPMC8933897
OpenAlexW4221042448

What Socratic 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 Socratic graph.