Evidence map›Paper›PMID 34127402›Full record

ArticleJournal of genetics and genomics = Yi chuan xue bao2021

Immu-Mela: An open resource for exploring immunotherapy-related multidimensional genomic profiles in melanoma.

Jing Yang, Shilin Zhao, Jing Wang, Quanhu Sheng, Qi Liu, Yu Shyr

Open access · hybridAbstract read
In one paragraph

Article in Journal of genetics and genomics = Yi chuan xue bao, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Jing YangCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA.
Shilin ZhaoCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA.
Jing WangCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA.
Quanhu ShengCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA.
Qi LiuCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA. Electronic address: qi.liu@vanderbilt.edu.
Yu ShyrCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA. Electronic address: yu.shyr@vanderbilt.edu.
Vanderbilt University Medical Center · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Vanderbilt-Ingram Cancer Center SPORE in Gastrointestinal CancerP50CA236733 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STEPHEN W. FESIK · 2019 to 2026
$19.6M
Molecular, Cellular and Tissue Characterization UnitU2CCA233291 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2018 to 2023
$12.2M
Single-Cell Biology and Data Analysis Shared Resource (SCB-DA SR)U54CA217450 · NCI · VANDERBILT UNIVERSITY · PI WEAVER, ALISSA M · 2018 to 2022
$8.5M
Barrett's Esophagus Translational Research Network Coordinating CenterU01CA163056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHYR, YU · 2011 to 2016
$2.2M
NCI NIH HHS P30 CA068485NCI NIH HHS P50 CA236733NCI NIH HHS U01 CA163056NCI NIH HHS U2C CA233291NCI NIH HHS U54 CA217450
6 · The paper itself

Abstract

There are increasing studies aimed to reveal genomic hallmarks predictive of immune checkpoint blockade (ICB) treatment response, which generated a large number of data and provided an unprecedented opportunity to identify response-related features and evaluate their robustness across cohorts. However, those valuable data sets are not easily accessible to the research community. To take full advantage of existing large-scale immuno-genomic profiles, we developed Immu-Mela (http://bioinfo.vanderbilt.edu/database/Immu-Mela/), a multidimensional immuno-genomic portal that provides interactive exploration of associations between ICB responsiveness and multi-omics features in melanoma, including genetic, transcriptomics, immune cells, and single-cell populations. Immu-Mela also enables integrative analysis of any two genomic features. We demonstrated the value of Immu-Mela by identifying known and novel genomic features associated with ICB response. In addition, Immu-Mela allows users to upload their data sets (unrestricted to any cancer types) and co-analyze with existing data to identify and validate signatures of interest. Immu-Mela reduces barriers between researchers and complex genomic data, facilitating discoveries in cancer immunotherapy.

Indexed as

Databases, GeneticSoftwareTranscriptomeBiomarkers, TumorComputational BiologyDisease SusceptibilityGene Expression ProfilingGenomicsHigh-Throughput Nucleotide SequencingHumansImmunotherapyMelanomaWeb BrowserBiomarkers, TumorBiomarkerCTLA-4 blockadeImmune checkpointImmunotherapyMelanomaMultidimensional genomicsPD-1/PD-L1 blockade

Identifiers

PMID34127402
PMCPMC8349898
OpenAlexW3161456580

What OpenQuestion 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 OpenQuestion graph.