Evidence map›Paper›PMID 37888615›Full record

ArticleInternational journal of oncology2023

Acidosis promotes the metastatic colonization of lung cancer via remodeling of the extracellular matrix and vasculogenic mimicry.

Wan-Yi Shie, Pin-Hsuan Chu, Mark Yen-Ping Kuo, Huei-Wen Chen, Meng-Tie Lin, Xuan-Jie Su, Yi-Ling Hong, Han-Yi Elizabeth Chou

Open access · hybridAbstract read
In one paragraph

Article in International journal of oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  4. [Advances in Lactate Metabolic Reprogramming in Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026
    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

8 authors at 1 institution in 1 country.

Wan-Yi ShieGraduate Institute of Oral Biology, National Taiwan University, Taipei 100, Taiwan, R.O.C.
Pin-Hsuan ChuGraduate Institute of Oral Biology, National Taiwan University, Taipei 100, Taiwan, R.O.C.
Mark Yen-Ping KuoDepartment of Dentistry, College of Medicine, National Taiwan University, Taipei 100, Taiwan, R.O.C.
Huei-Wen ChenGraduate Institute of Toxicology, College of Medicine, National Taiwan University, Taipei 100, Taiwan, R.O.C.
Meng-Tie LinGraduate Institute of Oral Biology, National Taiwan University, Taipei 100, Taiwan, R.O.C.
Xuan-Jie SuGraduate Institute of Oral Biology, National Taiwan University, Taipei 100, Taiwan, R.O.C.
Yi-Ling HongGraduate Institute of Oral Biology, National Taiwan University, Taipei 100, Taiwan, R.O.C.
Han-Yi Elizabeth ChouGraduate Institute of Oral Biology, National Taiwan University, Taipei 100, Taiwan, R.O.C.
National Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acidosis is a hallmark of the tumor microenvironment caused by the metabolic switch from glucose oxidative phosphorylation to glycolysis. It has been associated with tumor growth and progression; however, the precise mechanism governing how acidosis promotes metastatic dissemination has yet to be elucidated. In the present study, a long‑term acidosis model was established using patient‑derived lung cancer cells, to identify critical components of metastatic colonization via transcriptome profiling combined with both

Indexed as

Lung NeoplasmsCell Line, TumorExtracellular MatrixHumansLungNeovascularization, PathologicPrognosisTumor MicroenvironmentacidosiscolonizationECMmetastasisvasculogenic mimicry

Identifiers

PMID37888615
PMCPMC10631766
OpenAlexW4387965413

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.