Evidence map›Paper›PMID 35978828›Full record

ReviewFrontiers in oncology2022

Emerging role of non-coding RNAs in glucose metabolic reprogramming and chemoresistance in colorectal cancer.

Shushan Yan, Shufeng Wang, Xinyi Wang, Wenqing Dai, Jinjin Chu, Min Cheng, Zhiliang Guo, Donghua Xu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

8 authors at 3 institutions in 1 country.

Shushan YanDepartment of Gastrointestinal and Anal Diseases Surgery of the Affiliated Hospital, Weifang Medical University, Weifang, China.
Shufeng WangMedical Experimental Training Center, Weifang Medical University, Weifang, China.
Xinyi WangClinical Medicine of Basic Medical School, Shandong First Medical University, Jinan, China.
Wenqing DaiCentral Laboratory of the First Affiliated Hospital, Weifang Medical University, Weifang, China.
Jinjin ChuCentral Laboratory of the First Affiliated Hospital, Weifang Medical University, Weifang, China.
Min ChengDepartment of Physiology, Weifang Medical University, Weifang, China.
Zhiliang GuoDepartment of Spine Surgery, The 80th Group Army Hospital of Chinese People's Liberation Army (PLA), Weifang, China.
Donghua XuCentral Laboratory of the First Affiliated Hospital, Weifang Medical University, Weifang, China.
Weifang Medical University · CNChinese People's Liberation Army · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic reprogramming plays a critical role in colorectal cancer (CRC). It contributes to CRC by shaping metabolic phenotypes and causing uncontrolled proliferation of CRC cells. Glucose metabolic reprogramming is common in carcinogenesis and cancer progression. Growing evidence has implicated the modifying effects of non-coding RNAs (ncRNAs) in glucose metabolic reprogramming and chemoresistance in CRC. In this review, we have summarized currently published studies investigating the role of ncRNAs in glucose metabolic alterations and chemoresistance in CRC. Elucidating the interplay between ncRNAs and glucose metabolic reprogramming provides insight into exploring novel biomarkers for the diagnosis and prognosis prediction of CRC.

Indexed as

Circular RNAcolorectal cancerglucose metabolismlong noncoding RNAmetabolic reprogrammingmicroRNA

Identifiers

PMID35978828
PMCPMC9376248
OpenAlexW4289130673

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.