Evidence map›Paper›PMID 33396862›Full record

ArticleCancers2020

Genetic Variants in Immune Related Genes as Predictors of Responsiveness to BCG Immunotherapy in Metastatic Melanoma Patients.

Romela Irene Ramos, Misa A Shaw, Leland Foshag, Stacey L Stern, Negin Rahimzadeh, David Elashoff, Dave S B Hoon

Abstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Romela Irene RamosDepartment of Translational Molecular Medicine, John Wayne Cancer Institute, Santa Monica, CA 90404, USA.
Misa A ShawDepartment of Translational Molecular Medicine, John Wayne Cancer Institute, Santa Monica, CA 90404, USA.ORCID 0000-0002-1506-4440
Leland FoshagDivision of Surgical Oncology, John Wayne Cancer Institute, Santa Monica, CA 90404, USA.
Stacey L SternDepartment of Biostatistics, John Wayne Cancer Institute, Santa Monica, CA 90404, USA.
Negin RahimzadehDepartment of Translational Molecular Medicine, John Wayne Cancer Institute, Santa Monica, CA 90404, USA.ORCID 0000-0002-7797-620X
David ElashoffDepartment of Medicine Statistics Core, UCLA School of Medicine, Los Angeles, CA 90024, USA.
Dave S B HoonDepartment of Translational Molecular Medicine, John Wayne Cancer Institute, Santa Monica, CA 90404, USA.

Funding

TUMOR ANTIGENS THAT ELICIT HUMORAL IMMUNE RESPONSES IN CANCER PATIENTSP01CA012582 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MORTON, DONALD L · 1985 to 2010
$40.8M
Identification of Melanoma Brain Metastasis Tumor BiomarkersR01CA167967 · NCI · SAINT JOHN'S CANCER INSTITUTE · PI HOON, DAVE S B · 2013 to 2017
$1.9M
Dr. Miriam and Sheldon G. Adelson Medical Research Foundation G-201906-00319NIH HHS CA29605NIH HHS P01 CA012582NIH HHS R01CA167967
6 · The paper itself

Abstract

Adjuvant immunotherapy in melanoma patients improves clinical outcomes. However, success is unpredictable due to inherited heterogeneity of immune responses. Inherent immune genes associated with single nucleotide polymorphisms (SNPs) may influence anti-tumor immune responses. We assessed the predictive ability of 26 immune-gene SNPs genomic panels for a clinical response to adjuvant BCG (Bacillus Calmette-Guérin) immunotherapy, using melanoma patient cohorts derived from three phase III multicenter clinical trials: AJCC (American Joint Committee on Cancer) stage IV patients given adjuvant BCG (

Indexed as

adjuvant immunotherapyBacille Calmette–Guérincancer immunologyinnate immunitymetastatic melanomaSNP

Identifiers

PMID33396862
PMCPMC7795941

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.