Evidence map›Paper›PMID 30967646›Full record

ReviewNature reviews. Clinical oncology2019

Cell-state dynamics and therapeutic resistance in melanoma from the perspective of MITF and IFNγ pathways.

Xue Bai, David E Fisher, Keith T Flaherty

Abstract readReview
In one paragraph

Review in Nature reviews. Clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
–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

72 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  9. METTL10-Mediated PIAS3 Methylation Links Purine Metabolism to Gastric Cancer Progression.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  16. How cancer arises: Genetics releases, plasticity creates, genetics stabilizes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  18. Article
  19. Article
  20. Article

12 more citing papers are in PubMed but not listed here.

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

3 authors.

Xue BaiMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
David E FisherDermatology and Cutaneous Biology Research Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Keith T FlahertyMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA. kflaherty@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-3402-0478

Funding

Transcriptional mechanisms and melanomaP01CA163222 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DAVID E FISHER · 2013 to 2026
$25.3M
The MITF transcriptional network: melanoma risk and carcinogenesisR01AR043369 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI DAVID E FISHER · 1996 to 2026
$9.4M
Project 2U54CA224068 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CORCORAN, RYAN BRUCE, FLAHERTY, KEITH T · 2017 to 2021
$6.3M
NCI NIH HHS P01 CA163222NCI NIH HHS U54 CA224068NIAMS NIH HHS R01 AR043369
6 · The paper itself

Abstract

Targeted therapy and immunotherapy have greatly improved the prognosis of patients with metastatic melanoma, but resistance to these therapeutic modalities limits the percentage of patients with long-lasting responses. Accumulating evidence indicates that a persisting subpopulation of melanoma cells contributes to resistance to targeted therapy or immunotherapy, even in patients who initially have a therapeutic response; however, the root mechanism of resistance remains elusive. To address this problem, we propose a new model, in which dynamic fluctuations of protein expression at the single-cell level and longitudinal reshaping of the cellular state at the cell-population level explain the whole process of therapeutic resistance development. Conceptually, we focused on two different pivotal signalling pathways (mediated by microphthalmia-associated transcription factor (MITF) and IFNγ) to construct the evolving trajectories of melanoma and described each of the cell states. Accordingly, the development of therapeutic resistance could be divided into three main phases: early survival of cell populations, reversal of senescence, and the establishment of new homeostatic states and development of irreversible resistance. On the basis of existing data, we propose future directions in both translational research and the design of therapeutic strategies that incorporate this emerging understanding of resistance.

Indexed as

Drug Resistance, NeoplasmHumansInterferon-gammaMelanomaMicrophthalmia-Associated Transcription FactorModels, BiologicalSignal TransductionInterferon-gammaMicrophthalmia-Associated Transcription Factor

Identifiers

PMID30967646
PMCPMC7185899

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.