Evidence map›Paper›PMID 30134946›Full record

ReviewJournal of hematology & oncology2018

Emerging roles of long non-coding RNAs in tumor metabolism.

Hui Sun, Zhaohui Huang, Weiqi Sheng, Mi-Die Xu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

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  19. Iron metabolism, ferroptosis, and lncRNA in cancer: knowns and unknowns.Journal of Zhejiang University. Science. B · 2022
    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

4 authors at 2 institutions in 1 country.

Hui SunDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Zhaohui HuangWuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.
Weiqi ShengDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. shengweiqi2006@163.com.
Mi-Die XuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. xumd27202003@163.com.
Fudan University Shanghai Cancer Center · CNWuxi Fourth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared with normal cells, tumor cells display distinct metabolic characteristics. Long non-coding RNAs (lncRNAs), a large class of regulatory RNA molecules with limited or no protein-coding capacity, play key roles in tumorigenesis and progression. Recent advances have revealed that lncRNAs play a vital role in cell metabolism by regulating the reprogramming of the metabolic pathways in cancer cells. LncRNAs could regulate various metabolic enzymes that integrate cell malignant transformation and metabolic reprogramming. In addition to the known functions of lncRNAs in regulating glycolysis and glucose homeostasis, recent studies also implicate lncRNAs in amino acid and lipid metabolism. These observations reveal the high complexity of the malignant metabolism. Elucidating the metabolic-related functions of lncRNAs will provide a better understanding of the regulatory mechanisms of metabolism and thus may provide insights for the clinical development of cancer diagnostics, prognostics and therapeutics.

Indexed as

HumansNeoplasmsRNA, Long NoncodingRNA, Long NoncodingDysregulationlncRNAsMetabolismReprogrammingTumor

Identifiers

PMID30134946
PMCPMC6104013
OpenAlexW2888595993

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.