Evidence map›Paper›PMID 37106167›Full record

ArticleNature medicine2023

Multi-organ landscape of therapy-resistant melanoma.

Sixue Liu, Prashanthi Dharanipragada, Shirley H Lomeli, Yan Wang, Xiao Zhang, Zhentao Yang, Raymond J Lim, Camelia Dumitras, Philip O Scumpia, Steve M Dubinett and 4 more

Abstract read
In one paragraph

Article in Nature medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. PredictedInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. TFAP2A links drug resistance to antitumor immunity.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Metastases in patients with adjuvant therapies: How to proceed?Journal of the European Academy of Dermatology and Venereology : JEADV · 2025
    Article
  9. Interferon Epsilon Loss Is Elusive 9p21 Link to Immune-Cold Tumors, Resistant to Immune Checkpoint Therapy, and Endogenous CXCL9/10 Induction.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article
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

14 authors.

Sixue LiuDivision of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Prashanthi Dharanipragada *Division of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Shirley H Lomeli *Division of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-0872-8309
Yan Wang *Division of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Xiao Zhang *Division of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1706-2868
Zhentao YangDivision of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Raymond J LimDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Camelia DumitrasDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Philip O ScumpiaDivision of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-2563-2042
Steve M DubinettDepartment of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-3656-8039
Gatien MoriceauDivision of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Douglas B JohnsonDivision of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID http://orcid.org/0000-0002-6390-773X
Stergios J MoschosDivision of Medical Oncology, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Roger S LoDivision of Dermatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA. rlo@mednet.ucla.edu.ORCID http://orcid.org/0000-0002-5337-5004

Funding

Spatiotemporal Tumor Analytics for Guiding Sequential Targeted-Inhibitor: Immunotherapy Combinations (ST-Analytics)U54CA274509 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI James R. Heath · 2022 to 2026
$15.6M
Project 3: Modeling and overcoming resistance to melanoma immunotherapyP01CA244118 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MORICEAU, GATIEN P · 2020 to 2024
$12.8M
TARGETED COMBINATORIAL TREATMENT OF BRAF MELANOMASP01CA168585 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RIBAS, ANTONI · 2013 to 2017
$8.4M
Preventing MAPK inhibitor resistance in melanoma by targeting genomic instability and immune resistanceR01CA176111 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROGER S LO · 2013 to 2026
$5.4M
Understanding PD-L1/L2 protein regulation, detection and signaling to predict melanoma therapeutic sensitivityR21CA255837 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LO, ROGER S · 2021 to 2022
$397k
Exploiting Drug Addiction to Improve the Efficacy of MAPK Pathway Targeted Therapy in BRAF and NRAS Mutant MelanomaR21CA215910 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LO, ROGER S · 2018 to 2019
$367k
NCI NIH HHS P01 CA168585NCI NIH HHS P01 CA244118NCI NIH HHS R01 CA176111NCI NIH HHS R21 CA215910NCI NIH HHS R21 CA255837NCI NIH HHS U54 CA274509
6 · The paper itself

Abstract

Metastasis and failure of present-day therapies represent the most common causes of mortality in patients with cutaneous melanoma. To identify the underlying genetic and transcriptomic landscapes, in this study we analyzed multi-organ metastases and tumor-adjacent tissues from 11 rapid autopsies after treatment with MAPK inhibitor (MAPKi) and/or immune checkpoint blockade (ICB) and death due to acquired resistance. Either treatment elicits shared genetic alterations that suggest immune-evasive, cross-therapy resistance mechanisms. Large, non-clustered deletions, inversions and inter-chromosomal translocations dominate rearrangements. Analyzing data from separate melanoma cohorts including 345 therapy-naive patients and 35 patients with patient-matched pre-treatment and post-acquired resistance tumor samples, we performed cross-cohort analyses to identify MAPKi and ICB as respective contributors to gene amplifications and deletions enriched in autopsy versus therapy-naive tumors. In the autopsy cohort, private/late mutations and structural variants display shifted mutational and rearrangement signatures, with MAPKi specifically selecting for signatures of defective homologous-recombination, mismatch and base-excision repair. Transcriptomic signatures and crosstalks with tumor-adjacent macroenvironments nominated organ-specific adaptive pathways. An immune-desert, CD8

Indexed as

MelanomaSkin NeoplasmsDrug Resistance, NeoplasmGene Expression ProfilingHumansTranscriptome

Identifiers

PMID37106167
PMCPMC10202813

What OpenQuestion holds

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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.