Evidence map›Paper›PMID 36003764›Full record

ArticleFrontiers in oncology2022

Mapping phenotypic heterogeneity in melanoma onto the epithelial-hybrid-mesenchymal axis.

Maalavika Pillai, Gouri Rajaram, Pradipti Thakur, Nilay Agarwal, Srinath Muralidharan, Ankita Ray, Dev Barbhaya, Jason A Somarelli, Mohit Kumar Jolly

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
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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

9 authors at 4 institutions in 2 countries.

Maalavika PillaiCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Gouri RajaramDepartment of Biotechnology, Indian Institute of Technology, Kharagpur, India.
Pradipti ThakurDepartment of Biotechnology, Indian Institute of Technology, Kharagpur, India.
Nilay AgarwalCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Srinath MuralidharanCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Ankita RayDepartment of Biotechnology, Indian Institute of Technology, Kharagpur, India.
Dev BarbhayaDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, India.
Jason A SomarelliDepartment of Medicine, Duke University, Durham, NC, United States.
Mohit Kumar JollyCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Indian Institute of Science Bangalore · INIndian Institute of Technology Kharagpur · INDuke University · USIndian Institute of Technology Kanpur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial to mesenchymal transition (EMT) is a well-studied hallmark of epithelial-like cancers that is characterized by loss of epithelial markers and gain of mesenchymal markers. Melanoma, which is derived from melanocytes of the skin, also undergo phenotypic plasticity toward mesenchymal-like phenotypes under the influence of various micro-environmental cues. Our study connects EMT to the phenomenon of de-differentiation (i.e., transition from proliferative to more invasive phenotypes) observed in melanoma cells during drug treatment. By analyzing 78 publicly available transcriptomic melanoma datasets, we found that de-differentiation in melanoma is accompanied by upregulation of mesenchymal genes, but not necessarily a concomitant loss of an epithelial program, suggesting a more "one-dimensional" EMT that leads to a hybrid epithelial/mesenchymal phenotype. Samples lying in the hybrid epithelial/mesenchymal phenotype also correspond to the intermediate phenotypes in melanoma along the proliferative-invasive axis - neural crest and transitory ones. As melanoma cells progress along the invasive axis, the mesenchymal signature does not increase monotonically. Instead, we observe a peak in mesenchymal scores followed by a decline, as cells further de-differentiate. This biphasic response recapitulates the dynamics of melanocyte development, suggesting close interactions among genes controlling differentiation and mesenchymal programs in melanocytes. Similar trends were noted for metabolic changes often associated with EMT in carcinomas in which progression along mesenchymal axis correlates with the downregulation of oxidative phosphorylation, while largely maintaining glycolytic capacity. Overall, these results provide an explanation for how EMT and de-differentiation axes overlap with respect to their transcriptional and metabolic programs in melanoma.

Indexed as

dedifferentiationEMTmelanomametabolic reprogrammingphenotypic heterogeneityphenotypic plasticity

Identifiers

PMID36003764
PMCPMC9395132
OpenAlexW4292200436

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.