Evidence map›Paper›PMID 34234860›Full record

ArticleJournal of Cancer2021

Long Noncoding RNA LIT3527 Knockdown induces Apoptosis and Autophagy through inhibiting mTOR pathway in Gastric Cancer Cells.

Boya Wang, Yujie Deng, Juan Jin, Yan Wu, Lirong Shen

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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 1 institution in 1 country.

Boya WangDepartment of pharmacy, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, China.
Yujie DengDepartment of Cell Biology, Zhejiang University School of Medicine, Hangzhou 310058, China.
Juan JinDepartment of Cell Biology, Zhejiang University School of Medicine, Hangzhou 310058, China.
Yan WuDepartment of pharmacy, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, China.
Lirong ShenDepartment of pharmacy, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is one of the most common cancers and the leading causes of cancer mortality. However, the molecular mechanisms of gastric cancer malignancy remain unclear. Long noncoding RNAs (lncRNAs) have been well documented in controlling cancer progression. Identification of critical lncRNAs in gastric cancer will provide new sights into the regulation mechanism of gastric cancer. Here, we screened differentially expressed lncRNAs in gastric cancer tissues and matched adjacent tissues and found that lncRNA LIT3527, a 486-nucleotide (nt) sense transcript, was frequently upregulated in gastric cancer tissues. Knockdown of LIT3527 dramatically suppressed proliferation and migration of gastric cancer cells through inducing severe cell death but not affecting cell cycle. Mechanistically, we uncovered that depletion of LIT35227 induced significant cell apoptosis and autophagy through inhibiting AKT/ERK/mTOR signaling pathway. Targeting LIT3527 showed a robust inhibition of lung metastasis of gastric cancer cells. Taken together, these results suggest that LIT3527 is essential for gastric cancer cell survival through maintaining mTOR activity, suggesting that it may be clinically valuable as a therapeutic target for gastric cancer.

Indexed as

cell cyclecell survivallncRNAmetastasismTORstomach

Identifiers

PMID34234860
PMCPMC8247385
OpenAlexW3176679283

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.