Evidence map›Paper›PMID 39166023›Full record

ArticleHeliyon2024

The uncertainties and certainties of gene transcription in a human tumor cell.

Yinchun Lv, Yulin Chen, Xue Li, Siying Li, Qiaorong Huang, Ran Lu, Junman Ye, Wentong Meng, Xiaolong Chen, Xianming Mo

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yinchun LvDepartment of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China.
Yulin ChenDepartment of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China.
Xue LiDepartment of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China.
Siying LiDepartment of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China.
Qiaorong HuangDepartment of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China.
Ran LuDepartment of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China.
Junman YeDepartment of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China.
Wentong MengDepartment of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China.
Xiaolong ChenDepartment of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China.
Xianming MoDepartment of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previously we have identified that the expression number and levels of oncogenes and antioncogenes are highly positively or negatively associated with major cellular progress in a cancer cell. However, we have not defined any cellular potentials of a human tumor cell at the level of the overall gene expression. Here, we counted the overall number of expression genes and overall counts of mRNA in depth and revealed that the expression levels of mRNA were directly associated with the expression number of genes in a human tumor cell. Gene expression networks revealed steady states of tricarboxylic acid (TCA) cycle and ATP production, differentiation potentials that might be disturbed and blocked by uncertain gene expressing networks, and potential capabilities to undergo epithelial-mesenchymal transition (EMT), neurogenesis, angiogenesis, inflammatory response, immune evasion, and metastasis in a human tumor cell. Our analysis identifies unpredictable gene expression characteristics in human tumor cells. The results might profoundly influence mechanisms how a human tumor cell generates and undergoes its progresses.

Identifiers

PMID39166023
PMCPMC11334807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.