Priyanka Shivdasani

Clinical Implementation of Matched Tumor/Germline Sequencing Improves Accuracy of Tumor Genomic Profiling and Therapeutic Recommendations

Danielle K. Manning, Guruprasad Ananda, Cheryl Eifert, Vanesa Rojas‐Rudilla et autres

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Author Correction: Molecular profiling of 888 pediatric tumors informs future precision trials and data-sharing initiatives in pediatric cancer

Suzanne J. Forrest, Hersh Gupta, Abigail Ward, Yvonne Li et autres

In this article the author’s name Andrew D. Cherniack was incorrectly written as Andrew D. Cherniak. The original article has been corrected.

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Molecular profiling of 888 pediatric tumors informs future precision trials and data-sharing initiatives in pediatric cancer

Suzanne J. Forrest, Hersh Gupta, Abigail Ward, Yvonne Li et autres

To inform clinical trial design and real-world precision pediatric oncology practice, we classified diagnoses, assessed the landscape of mutations, and identified genomic variants matching trials in a large unselected institutional cohort of solid tumors patients sequenced at Dana-Farber / Boston Children's Cancer …

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Table S3 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

Fabrice André, Mónica Arnedos, Alexander S. Baras, José Baselga et autres

Table S3

Supplemental Methods, Supplemental Tables 1-2, Supplemental Figures 1-4 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

Fabrice André, Mónica Arnedos, Alexander S. Baras, José Baselga et autres

Supplemental Methods. Supplemental Table 1: ââ,¬â€¹Genomic Data Characterization by Center. Supplemental Table 2: ââ,¬â€¹Gene Panels Submitted by Each Center. Figure S1: Number of putative germline SNPs per sample, before and after uniform germline filtering. Figure S2ââ,¬â€¹. Distribution of total somatic mutation burden …

Supplemental File 1 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

Fabrice André, Mónica Arnedos, Alexander S. Baras, José Baselga et autres

AACR GENIE Data Guide

Table S4 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

Fabrice André, Mónica Arnedos, Alexander S. Baras, José Baselga et autres

Table S4

Table S3 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

Fabrice André, Mónica Arnedos, Alexander S. Baras, José Baselga et autres

Table S3

Supplemental Methods, Supplemental Tables 1-2, Supplemental Figures 1-4 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

Fabrice André, Mónica Arnedos, Alexander S. Baras, José Baselga et autres

Supplemental Methods. Supplemental Table 1: ââ,¬â€¹Genomic Data Characterization by Center. Supplemental Table 2: ââ,¬â€¹Gene Panels Submitted by Each Center. Figure S1: Number of putative germline SNPs per sample, before and after uniform germline filtering. Figure S2ââ,¬â€¹. Distribution of total somatic mutation burden …

Supplemental File 1 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

Fabrice André, Mónica Arnedos, Alexander S. Baras, José Baselga et autres

AACR GENIE Data Guide

Table S4 from AACR Project GENIE: Powering Precision Medicine through an International Consortium

Fabrice André, Mónica Arnedos, Alexander S. Baras, José Baselga et autres

Table S4

Data from AACR Project GENIE: Powering Precision Medicine through an International Consortium

Fabrice André, Mónica Arnedos, Alexander S. Baras, José Baselga et autres

Abstract The AACR Project GENIE is an international data-sharing consortium focused on generating an evidence base for precision cancer medicine by integrating clinical-grade cancer genomic data with clinical outcome data for tens of thousands of cancer patients treated at multiple institutions worldwide. …