Faculty

Institution

Unit

Venue

Kenna Shaw

The University of Texas MD Anderson Cancer Center

Affiliations

Institute for Data Science in Oncology

NoneKenna Shaw is currently serving as a Institute For Data Science In Oncology faculty at The University of Texas Md Anderson Cancer Center.

Honors

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Experiences

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Education

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Kenna Shaw

The University of Texas MD Anderson Cancer Center

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oncology cancer research cancer genomics molecular cancer genetics pathology molecular diagnostics cancer genetics tumor biology oncogenes cancer biology cancer treatment genomics cancer care molecular biology cancer discovery clinical research medicinal research colorectal cancer cancer cells genome biology tumor heterogeneity pharmacology metastasis cancer imaging surgical oncology brain tumor research next-generation sequencing personalized medicine cancer immunotherapy gastrointestinal oncology leukemia tumor targeting genomic medicine precision medicine cellular therapy cancer management metastatic colorectal cancer vascular biology immune checkpoint inhibitors genitourinary cancers clinical outcomes disease gene identification dna sequencing mutation-based testing personalized cancer therapy histopathology surgical pathology mutagenesis tissue imaging somatic variant novel therapies hematological malignancies disease progression advanced cancer patients tumor characteristics precision oncology drug targeting receptor tyrosine kinases anti-cancer agents prognostic biomarkers endocrine oncology endocrine-related cancers allelic variant therapeutic efficacy metronomic therapy high-risk subtype advanced cancers human cancers clinical actionability medullary thyroid carcinoma surgical pathology practice rapid evaluation clinical benefit secondary germline findings germline mutations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Comprehensive Genomic and Transcriptomic Analysis to Guide Therapy for Patients With Metastatic Solid Tumors. Cancer Discovery (2026)

oncogenesmetastasispathologyradiation oncologytranscriptomic analysisguide therapymolecular cancercomprehensive genomicmolecular diagnosticscancer treatmentcancer genomicsoncology

The Actionable Transcriptome: A Framework for Incorporating Rna Sequencing Into Precision Oncology. Nature Reviews Clinical Oncology (2026)

actionable transcriptomecell biologymolecular cancercancer researchmolecular diagnosticsprecision oncologymolecular biologytranscriptomics technologycancer genomicstranscriptome

120P Dynamic Evolution of Precision Oncology Decision Support for Clinical Care. Annals of Oncology (2025)

dynamic evolutionradiation oncologyoncologytreatment plan evaluationdecision aidsclinical caretreatment planningcancer researchjama oncologymedicinecancer managementcancer carepersonalized medicine

Abstract C054: Clinical Utility of Comprehensive Genomic and Transcriptomic Analysis to Guide Therapy for Patients With Metastatic Solid Tumors. Molecular Cancer Therapeutics (2025)

oncogenesmetastasispathologyradiation oncologyclinical utilityguide therapymolecular cancercomprehensive genomicmolecular diagnosticscancer treatmentcancer genomicsoncology

Clinical Outcomes of Tumor-Agnostic Targeting of Braf, Tumor Mutation Burden-High, and Ret. ESMO Open (2025)

oncogenestumor mutationpathologytumor biologycancer treatmentmolecular cancertumor-agnostic targetingclinical outcomesurologycancer geneticsoncology

Clinical Utility of Comprehensive Transcriptome Testing in Advanced Solid Tumors.. Journal of Clinical Oncology (2025)

oncogenespathologytumor biologycell biologycomprehensive transcriptome testingmolecular cancercancer researchmolecular diagnosticscancer cellstumor heterogeneitycancer genomicsoncology

Comparison of Imaging Based Single-Cell Resolution Spatial Transcriptomics Profiling Platforms Using Formalin-Fixed Paraffin-Embedded Tumor Samples. Nature Communications (2025)

cancer cellssingle cell sequencingbiomedical analysisbiological imagingcell biologysingle-cell analysismolecular imagingcancer imagingmolecular diagnosticsspatial omicssystems biologyomicstranscriptomics technologytranscriptometumor microenvironment

Data Events Are Safety Events: High-Reliability Organization Approach to Improving Data Quality and Safety. JCO Clinical Cancer Informatics (2025)

incident managementimproving data qualitysystem safetydata qualitydata integrityquality technologyhigh-reliability organization approachcommunicationsafetyquality engineeringdata reliabilitydata engineeringdata scienceinformation managementdata managementsafety sciencereliability

Longitudinal Genomic Profiling of Chemotherapy-Related Chip Variants in Patients With Ovarian Cancer. Frontiers in Oncology (2025)

gynecologic oncologyradiation oncologychemotherapy-related chip variantsvariant interpretationgynecologymolecular diagnosticsgynecologic cancerslongitudinal genomic profilingovarian cancercancer geneticscancer genomicstumor heterogeneity

Supplementary Figures 1-2 From Clinico-Genomic Profiling of Conventional and Dedifferentiated Chondrosarcomas Reveals I Tp53 /I Mutation to Be Associated With Worse Outcomes. (2025)

pathologyconnective tissue diseasesupplementary figures 1-2sarcomamolecular pathologycarcinogenesiscancer researchworse outcomeshuman geneticsclinico-genomic profilingcartilagegenetics

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Kenna Shaw

The University of Texas MD Anderson Cancer Center

Affiliations

Institute for Data Science in Oncology

NoneKenna Shaw is currently serving as a Institute For Data Science In Oncology faculty at The University of Texas Md Anderson Cancer Center.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Kenna Shaw

The University of Texas MD Anderson Cancer Center

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Comprehensive Genomic and Transcriptomic Analysis to Guide Therapy for Patients With Metastatic Solid Tumors. Cancer Discovery (2026)

oncogenesmetastasispathologyradiation oncologytranscriptomic analysisguide therapymolecular cancercomprehensive genomicmolecular diagnosticscancer treatmentcancer genomicsoncology

The Actionable Transcriptome: A Framework for Incorporating Rna Sequencing Into Precision Oncology. Nature Reviews Clinical Oncology (2026)

actionable transcriptomecell biologymolecular cancercancer researchmolecular diagnosticsprecision oncologymolecular biologytranscriptomics technologycancer genomicstranscriptome

120P Dynamic Evolution of Precision Oncology Decision Support for Clinical Care. Annals of Oncology (2025)

dynamic evolutionradiation oncologyoncologytreatment plan evaluationdecision aidsclinical caretreatment planningcancer researchjama oncologymedicinecancer managementcancer carepersonalized medicine

Abstract C054: Clinical Utility of Comprehensive Genomic and Transcriptomic Analysis to Guide Therapy for Patients With Metastatic Solid Tumors. Molecular Cancer Therapeutics (2025)

oncogenesmetastasispathologyradiation oncologyclinical utilityguide therapymolecular cancercomprehensive genomicmolecular diagnosticscancer treatmentcancer genomicsoncology

Clinical Outcomes of Tumor-Agnostic Targeting of Braf, Tumor Mutation Burden-High, and Ret. ESMO Open (2025)

oncogenestumor mutationpathologytumor biologycancer treatmentmolecular cancertumor-agnostic targetingclinical outcomesurologycancer geneticsoncology

Clinical Utility of Comprehensive Transcriptome Testing in Advanced Solid Tumors.. Journal of Clinical Oncology (2025)

oncogenespathologytumor biologycell biologycomprehensive transcriptome testingmolecular cancercancer researchmolecular diagnosticscancer cellstumor heterogeneitycancer genomicsoncology

Comparison of Imaging Based Single-Cell Resolution Spatial Transcriptomics Profiling Platforms Using Formalin-Fixed Paraffin-Embedded Tumor Samples. Nature Communications (2025)

Data Events Are Safety Events: High-Reliability Organization Approach to Improving Data Quality and Safety. JCO Clinical Cancer Informatics (2025)

Longitudinal Genomic Profiling of Chemotherapy-Related Chip Variants in Patients With Ovarian Cancer. Frontiers in Oncology (2025)

Supplementary Figures 1-2 From Clinico-Genomic Profiling of Conventional and Dedifferentiated Chondrosarcomas Reveals I Tp53 /I Mutation to Be Associated With Worse Outcomes. (2025)

pathologyconnective tissue diseasesupplementary figures 1-2sarcomamolecular pathologycarcinogenesiscancer researchworse outcomeshuman geneticsclinico-genomic profilingcartilagegenetics

1
2
3
4
5
19
10 / page