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Supplementary Figures S1-S21 from Integrated Multi-omics Analysis of Early Lung Adenocarcinoma Links Tumor Biological Features with Predicted Indolence or Aggressiveness

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posted on 2023-07-26, 14:20 authored by Maria-Fernanda Senosain, Yong Zou, Khushbu Patel, Shilin Zhao, Alexis Coullomb, Dianna J. Rowe, Jonathan M. Lehman, Jonathan M. Irish, Fabien Maldonado, Michael N. Kammer, Vera Pancaldi, Carlos F. Lopez

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Funding

HHS | NIH | National Cancer Institute (NCI)

Vanderbilt-Ingram Cancer Center (VICC)

Fondation Toulouse Cancer Santé (Toulouse Cancer Health Foundation)

Institut de Recherche Pierre Fabre (IRPF)

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ARTICLE ABSTRACT

This study provides a comprehensive profiling of LUAD indolence and aggressiveness at the biological bulk and single-cell levels, as well as at the clinical and radiomics levels. This hypothesis generating study uncovers several potential future research avenues. It also highlights the importance and power of data integration to improve our systemic understanding of LUAD and to help reduce the gap between basic science research and clinical practice.

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    Cancer Research Communications

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    Keywords

    BiomarkersDiagnostic biomarkersEarly detection biomarkersComputational MethodsArtificial intelligence & machine learningGene expression profilingTumor MicroenvironmentTumor HeterogeneityLung Cancer

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