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A Novel Radiogenomics Biomarker for Predicting Treatment Response and Pneumotoxicity From Programmed Cell Death Protein or Ligand-1 Inhibition Immunotherapy in NSCLC

Journal of Thoracic Oncology(2023)10.1016/j.jtho.2023.01.089Source: DataRank Database

A Novel Radiogenomics Biomarker for Predicting Treatment Response and Pneumotoxicity From Programmed Cell Death Protein or Ligand-1 Inhibition Immunotherapy in NSCLC is a research paper published in Journal of Thoracic Oncology (2023). On theSindex it has a DataRank of 0. It has been cited 78 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access78 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (15 grants)Impact (FWCI 12.08)OA: hybridTopics (53)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (10)

Haonan Lu ORCID,Susan J. Copley ORCID,Yidong Han,Andrew Logan ORCID,Patrizia Viola ORCID

Live enrichment

PubMed:36773776 OpenAlex:https://openalex.org/W4319663181

Wellcome Trust

Grant: WSCC_PS3416

Imperial Experimental Cancer Medicine Centre

Grant: C1312/A25149

Associazione Italiana per la Ricerca sul Cancro

Grant: 25697

NIHR Imperial Biomedical Research Centre

Grant: P62585

NIHR Imperial Biomedical Research Centre

Grant: WSCC P87324

Academy of Medical Sciences

Grant: SGL026∖1024

Imperial College London

Grant: 17/WA/0161

Medical Research Council

Grant: MR/N020782/1

Development of Metabolism Radiotracers to Probe Disease Pathology in Human Subjects with Cancer

National Institute for Health and Care Research

Grant: CL-2021-21-005

Academy of Medical Sciences

Grant: SGL026\1024

Cancer Research UK

Grant: C2536/A28680

National Cancer Institute

National Institutes of Health

Imperial College Healthcare NHS Trust

NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research

FWCI

12.08

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

hybridLicense: cc-by

journalhttp://www.jto.org/article/S1556086423000965/pdf

publisherhttp://www.jto.org/article/S1556086423000965/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1556086423000965?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1556086423000965?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.jtho.2023.01.089

Fields of Study

Radiomics and Machine Learning in Medical ImagingCancer Immunotherapy and BiomarkersLung Cancer Diagnosis and Treatment03 medical and health sciences0302 clinical medicineHumansLung NeoplasmsB7-H1 AntigenProgrammed Cell Death 1 ReceptorRetrospective StudiesApoptosis Regulatory ProteinsLigandsCarcinoma, Non-Small-Cell LungBiomarkersImmunotherapy

MeSH Terms

Carcinoma, Non-Small-Cell LungHumansImmunotherapyLigandsLung NeoplasmsRetrospective StudiesBiomarkersApoptosis Regulatory ProteinsB7-H1 AntigenProgrammed Cell Death 1 Receptor

Keywords

MedicineImmunotherapyBiomarkerRadiogenomicsCancer researchProgrammed cell death 1OncologyImmunologyPD-L1Immune systemBiologyGeneticsPneumonitisPrognosticationNon–small Cell Lung CancerRadiomicsLung NeoplasmsProgrammed Cell Death 1 Receptor610LigandsB7-H1 AntigenCarcinoma, Non-Small-Cell LungHumansImmunotherapy; Non–small cell lung cancer; Pneumonitis; Prognostication; RadiomicsApoptosis Regulatory ProteinsBiomarkersPneumonitiRetrospective Studies

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

Additional file 1 of Validation of a multiomic model of plasma extracellular vesicle PD-L1 and radiomics for prediction of response to immunotherapy in NSCLC

10.6084/m9.figshare.25414827.v1figshare

Additional file 1 of Validation of a multiomic model of plasma extracellular vesicle PD-L1 and radiomics for prediction of response to immunotherapy in NSCLC

10.6084/m9.figshare.25414827figshare