Evidence map›Paper›PMID 32530570›Full record

ArticleMolecular oncology2020

Role of ultraviolet mutational signature versus tumor mutation burden in predicting response to immunotherapy.

Timothy V Pham, Amélie Boichard, Aaron Goodman, Paul Riviere, Huwate Yeerna, Pablo Tamayo, Razelle Kurzrock

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  18. Undifferentiated and Dedifferentiated Metastatic Melanomas Masquerading as Soft Tissue Sarcomas: Mutational Signature Analysis and Immunotherapy Response.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2023
    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

7 authors at 2 institutions in 1 country.

Timothy V PhamCenter for Personalized Cancer Therapy, Moores Cancer Center, UCSD, San Diego, CA, USA.ORCID 0000-0003-1422-6708
Amélie BoichardCenter for Personalized Cancer Therapy, Moores Cancer Center, UCSD, San Diego, CA, USA.ORCID 0000-0001-5437-5770
Aaron GoodmanCenter for Personalized Cancer Therapy, Moores Cancer Center, UCSD, San Diego, CA, USA.
Paul RiviereCenter for Personalized Cancer Therapy, Moores Cancer Center, UCSD, San Diego, CA, USA.
Huwate YeernaCenter for Personalized Cancer Therapy, Moores Cancer Center, UCSD, San Diego, CA, USA.
Pablo TamayoCenter for Personalized Cancer Therapy, Moores Cancer Center, UCSD, San Diego, CA, USA.
Razelle KurzrockCenter for Personalized Cancer Therapy, Moores Cancer Center, UCSD, San Diego, CA, USA.
Moores Cancer CenterUniversity of California San Diego · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
Using Networks to Seed Hierarchical Whole-cell Models of CancerU54CA209891 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KREISBERG, JASON FRANCIS · 2017 to 2021
$10.9M
Supporting Integrative Genomic Analysis Users with GenePatternR01GM074024 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P. · 2005 to 2019
$6.6M
A Rational Systematic Approach to Find Combinations of Pharmacologic and Immune Therapies that Target Identifiable Oncogenic StatesU01CA217885 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COHEN, EZRA, KAUFMAN, DAN S. · 2017 to 2021
$5.1M
Stimulating Neo-Antigen Specific T Cell Responses in Head and Neck CancersU01DE028227 · NIDCR · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI GUTKIND, JORGE SILVIO, RAO, ANJANA · 2018 to 2022
$4.6M
GenePattern and GenePattern Notebook: Integrative 'Omic Analysis for Cancer ResearchU24CA248457 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P., TAMAYO, PABLO · 2020 to 2024
$4.6M
Next-generation Functional Genetic Screening of Un-screenable TraitsR01HG009285 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALI, PRASHANT, TAMAYO, PABLO · 2017 to 2020
$4.2M
Supporting and evolving Gene Set Enrichment Analysis and the Molecular Signatures Database for cancer researchU24CA220341 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P., TAMAYO, PABLO · 2018 to 2022
$3.4M
UC San Diego Clinical and Translational Research InstituteTL1TR001443 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2015 to 2019
$3.4M
GenePattern Notebooks for Cancer ResearchU24CA194107 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P. · 2015 to 2019
$2.8M
Targeting the EGFR-PI3K/mTOR Signaling Circuitry: A Network-Based Approach for Oral Cancer Precision TherapyR01DE026870 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GUTKIND, JORGE SILVIO · 2018 to 2022
$2.3M
Targeting Drug-Resistant Cancer Stem Cell Niches of Gastrointestinal Stromal TumorR01CA226803 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SICKLICK, JASON KEITH · 2019 to 2023
$2.1M
Joan and Irwin Jacobs FundNCATS NIH HHS TL1 TR001443NCI NIH HHS P30 CA023100NCI NIH HHS R01 CA226803NCI NIH HHS R01 GM074024NCI NIH HHS U01 CA217885NCI NIH HHS U24 CA194107NCI NIH HHS U24 CA220341NCI NIH HHS U24 CA248457NCI NIH HHS U54 CA209891NHGRI NIH HHS R01 HG009285NIDCR NIH HHS R01 DE026870NIGMS NIH HHS R01 GM074024NIH HHS TL1TR001443
6 · The paper itself

Abstract

Hydrophobic neoantigens are more immunogenic because they are better presented by the major histocompatibility complex and better recognized by T cells. Tumor cells can evade the immune response by expressing checkpoints such as programmed death ligand 1. Checkpoint blockade reactivates immune recognition and can be effective in diseases such as melanoma, which harbors a high tumor mutational burden (TMB). Cancers presenting low or intermediate TMB can also respond to checkpoint blockade, albeit less frequently, suggesting the need for biological markers predicting response. We calculated the hydrophobicity of neopeptides produced by probabilistic in silico simulation of the genomic UV exposure mutational signature. We also computed the hydrophobicity of potential neopeptides and extent of UV exposure based on the UV mutational signature enrichment (UVMSE) score in The Cancer Genome Atlas (TCGA; N = 3543 tumors), and in our cohort of 151 immunotherapy-treated patients. In silico simulation showed that UV exposure significantly increased hydrophobicity of neopeptides, especially over multiple mutagenic cycles. There was also a strong correlation (R

Indexed as

ImmunotherapyUltraviolet RaysAmino AcidsAntigens, NeoplasmExomeFemaleGenome, HumanHumansHydrophobic and Hydrophilic InteractionsKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisMutagenesisMutationProgression-Free SurvivalAmino AcidsAntigens, Neoplasmcheckpoint blockadeimmunotherapyUV mutational signature

Identifiers

PMID32530570
PMCPMC7400787
OpenAlexW3035657465

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.