Evidence map›Paper›PMID 39426663›Full record

ArticleCancer letters2024

The pharmacogenomic and immune landscape of snoRNAs in human cancers.

Runhao Wang, Chengxuan Chen, Yuan Liu, Mei Luo, Jingwen Yang, Yamei Chen, Lifei Ma, Liuqing Yang, Chunru Lin, Lixia Diao and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Functional, Pharmacogenomic, and Immune Landscapes of Long Non-Coding RNAs in Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
  6. Review
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

11 authors.

Runhao WangBrown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Chengxuan ChenBrown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Yuan LiuBrown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Mei LuoBrown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Jingwen YangBrown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Yamei ChenBrown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Lifei MaBrown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Liuqing YangDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Chunru LinDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Lixia DiaoDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: ldiao@mdanderson.org.
Leng HanBrown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA. Electronic address: lenghan@iu.edu.

Funding

Long Noncoding RNA Advocates Immune Resistant MicroenvironmentR01CA231011 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIN, CHUNRU · 2019 to 2023
$2.9M
Targeting Small Nucleolar RNA Augments Immunotherapeutic EfficacyR01CA255080 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Chunru Lin · 2022 to 2026
$2.3M
Systematic Characterization of Small Nucleolar RNAs in CancerR01CA262623 · NCI · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI HAN, LENG · 2021 to 2025
$2.0M
Molecular Mechanisms of Bladder Cancer ImmunometabolismR01CA269489 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Jianjun Gao, Liuqing Yang · 2023 to 2026
$2.0M
MolQTL: A comprehensive resource for molecular quantitative trait loci inhuman cancer.R01HG011633 · NHGRI · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI HAN, LENG · 2021 to 2025
$1.9M
NCI NIH HHS R01 CA231011NCI NIH HHS R01 CA255080NCI NIH HHS R01 CA262623NCI NIH HHS R01 CA269489NHGRI NIH HHS R01 HG011633
6 · The paper itself

Abstract

Small nucleolar RNAs (snoRNAs) are a class of non-coding RNAs primarily known for their role in the chemical modification of other RNAs. Recent studies suggested that snoRNAs may play a broader role in anti-cancer treatments such as targeted therapies and immunotherapies. Despite these insights, the comprehensive landscape of snoRNA associations with drug response and immunotherapy outcomes remains unexplored. In this study, we identified 79,448 and 75,185 associations between snoRNAs and drug response using data from VAEN and CancerRxTissue, respectively. Additionally, we discovered 29,199 associations between snoRNAs and immune checkpoint genes and 47,194 associations between snoRNAs and immune cell infiltrations. Sixteen snoRNAs were significantly correlated with immunotherapy objective response rate (ORR), and 92 snoRNAs showed significantly differential expression between cancers with high and low ORR. Furthermore, we identified 17 snoRNAs with significantly differential expression between cancer types with high and low immune-related adverse event (irAE) reporting odds ratio (ROR). Several snoRNAs, such as SNORD92, and SNORD83B, may represent promising biomarkers or therapeutic targets that needs further investigation. To facilitate further research, we developed a user-friendly portal, Pharmacogenomic and Immune Landscape of SnoRNA (PISNO, https://hanlaboratory.com/PISNO/), enabling researchers to visualize, browse, and download multi-dimensional data. This study highlights the potential of snoRNAs as biomarkers or therapeutic targets, paving the way for more effective and personalized anti-cancer treatments.

Indexed as

NeoplasmsRNA, Small NucleolarAntineoplastic AgentsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansImmunotherapyPharmacogeneticsAntineoplastic AgentsBiomarkers, TumorRNA, Small NucleolarDrug responseImmune checkpointImmune infiltrationImmunotherapy efficacyirAESnoRNA

Identifiers

PMID39426663
PMCPMC11898246

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.