Evidence map›Paper›PMID 29975213›Full record

ArticleMelanoma research2018

Identification of gene expression levels in primary melanoma associated with clinically meaningful characteristics.

Ivan Gorlov, Irene Orlow, Carol Ringelberg, Eva Hernando, Marc S Ernstoff, Chao Cheng, Stephanie Her, Joel S Parker, Cheryl L Thompson, Meg R Gerstenblith and 2 more

Abstract read
In one paragraph

Article in Melanoma research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Engineering selective PI3KActa pharmaceutica Sinica. B · 2026
    Article
  2. X and Y Differences in Melanoma Survival Between the Sexes.Pigment cell & melanoma research · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. The Modulatory Properties ofFrontiers in pharmacology · 2019
    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

12 authors.

Ivan GorlovDepartment of Biomedical Data Science, The Geisel School of Medicine, Dartmouth College, Dartmouth-Hitchcock Medical Center, Lebanon.
Irene OrlowDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center.
Carol RingelbergDepartment of Biomedical Data Science, The Geisel School of Medicine, Dartmouth College, Dartmouth-Hitchcock Medical Center, Lebanon.
Eva HernandoDepartment of Pathology, NYU School of Medicine, New York City.
Marc S ErnstoffRoswell Park Cancer Institute, Elm & Carlton, Buffalo, New York.
Chao ChengDepartment of Biomedical Data Science, The Geisel School of Medicine, Dartmouth College, Dartmouth-Hitchcock Medical Center, Lebanon.
Stephanie HerDepartment of Computer Science, Dartmouth College, Hanover, New Hampshire.
Joel S ParkerDepartment of Genetics, Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Cheryl L ThompsonSchool of Medicine, Case Western Reserve University, Cleveland, Ohio.
Meg R GerstenblithDepartment of Internal Medicine and Dermatology, University of New Mexico, Albuquerque, New Mexico.
Marianne BerwickDepartment of Internal Medicine and Dermatology, University of New Mexico, Albuquerque, New Mexico.
Christopher AmosDepartment of Medicine, Baylor College of Medicine, Houston, Texas, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Transdisciplinary Research in Cancer of the Lung (TRICL)U19CA148127 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., LE MARCHAND, LOIC · 2010 to 2014
$10.9M
Sex Differences in Methylome Alterations and Mutational Burden in Early Stage MelanomaP01CA206980 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BERWICK, MARIANNE, THOMAS, NANCY E. · 2017 to 2022
$10.1M
Statistical Methods for Gene Environment Interactions In Lung CancerR01CA133996 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 2007 to 2009
$790k
Predicting SNP priors for Cancer GWASsR56LM012371 · NLM · DARTMOUTH COLLEGE · PI DEMIDENKO, EUGENE · 2017 to 2018
$640k
NCI NIH HHS P01 CA206980NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA133996NCI NIH HHS U19 CA148127NLM NIH HHS R56 LM012371
6 · The paper itself

Abstract

Factors influencing melanoma survival include sex, age, clinical stage, lymph node involvement, as well as Breslow thickness, presence of tumor-infiltrating lymphocytes based on histological analysis of primary melanoma, mitotic rate, and ulceration. Identification of genes whose expression in primary tumors is associated with these key tumor/patient characteristics can shed light on molecular mechanisms of melanoma survival. Here, we show results from a gene expression analysis of formalin-fixed paraffin-embedded primary melanomas with extensive clinical annotation. The Cancer Genome Atlas data on primary melanomas were used for validation of nominally significant associations. We identified five genes that were significantly associated with the presence of tumor-infiltrating lymphocytes in the joint analysis after adjustment for multiple testing: IL1R2, PPL, PLA2G3, RASAL1, and SGK2. We also identified two genes significantly associated with melanoma metastasis to the regional lymph nodes (PIK3CG and IL2RA), and two genes significantly associated with sex (KDM5C and KDM6A). We found that LEF1 was significantly associated with Breslow thickness and CCNA2 and UBE2T with mitosis. RAD50 was the gene most significantly associated with survival, with a higher level of expression associated with worse survival.

Indexed as

FemaleGene ExpressionGene Expression ProfilingHumansMaleMelanomaSkin NeoplasmsSurvival Analysis

Identifiers

PMID29975213
PMCPMC6448582

What OpenQuestion holds

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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.