Evidence map›Paper›PMID 36187341›Full record

ArticleAdvances in cancer biology - metastasis2022

P4HA2: A link between tumor-intrinsic hypoxia, partial EMT and collective migration.

Vaishali Aggarwal, Sarthak Sahoo, Vera S Donnenberg, Priyanka Chakraborty, Mohit Kumar Jolly, Shilpa Sant

Open access · goldAbstract read
In one paragraph

Article in Advances in cancer biology - metastasis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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    Review
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  6. Comprehensive analysis of the effects ofFrontiers in cell and developmental biology · 2025
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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

6 authors at 2 institutions in 2 countries.

Vaishali AggarwalDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.
Sarthak SahooCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Vera S DonnenbergDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.
Priyanka ChakrabortyCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Mohit Kumar JollyCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Shilpa SantDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.
Indian Institute of Science Bangalore · INUniversity of Pittsburgh · US

Funding

Three-dimensional organoid models to study breast cancer progressionR37CA232209 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANT, SHILPA · 2018 to 2024
$3.0M
NCI NIH HHS R37 CA232209
6 · The paper itself

Abstract

Epithelial-to-mesenchymal transition (EMT), a well-established phenomenon studied across pan-cancer types, has long been known to be a major player in driving tumor invasion and metastasis. Recent studies have highlighted the importance of partial EMT phenotypes in metastasis. Initially thought as a transitional state between epithelial and mesenchymal phenotypic states, partial EMT state is now widely recognized as a key driver of intra-tumoral heterogeneity and phenotypic plasticity, further accelerating tumor metastasis and therapeutic resistance. However, how tumor microenvironment regulates partial EMT phenotypes remains unclear. We have developed unique size-controlled three-dimensional microtumor models that recapitulate tumor-intrinsic hypoxia and the emergence of collectively migrating cells. In this study, we further interrogate these microtumor models to understand how tumor-intrinsic hypoxia regulates partial EMT and collective migration in hypoxic large microtumors fabricated from T47D breast cancer cells. We compared global gene expression profiles of hypoxic, migratory microtumors to that of non-hypoxic, non-migratory microtumors at early and late time-points. Using our microtumor models, we identified unique gene signatures for tumor-intrinsic hypoxia (early

Indexed as

3D microtumor modelsCollective migrationP4HA2Partial EMTTumor-intrinsic hypoxiaTumor microenvironment

Identifiers

PMID36187341
PMCPMC9517480
OpenAlexW4288926706

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.