Author

Christopher J. Graser

Dana-Farber Cancer InstituteORCID 0009-0003-8552-7767Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:cancer & tumor microenvironment· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Approach:mechanistic / dynamical model· 1 Organism:mouse· 1

Frequent Co-Authors

Franziska Michor AiD· 2 shared Aaron N. HataiD· 1 shared Anahita Nimbalkar· 1 shared Charles Stiles· 1 shared Chendi LiiD· 1 shared Cindy Lin· 1 shared Daphne Adele Haas-KoganiD· 1 shared David KozonoiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersCancer Biology

Franziska Michor AORCID

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMay 15, 2026

H3K27M-driven hypertranscription leads to a new targetable dependency in diffuse midline gliomas

Sharmistha Pal, Heng Wang, Jacob Geisberg…·Daphne Adele Haas-Kogan

This study identifies hypertranscription as a vulnerability in H3K27M-driven diffuse midline gliomas, showing ATR inhibition effectively targets this feature in preclinical models.

DOI 10.64898/2026.05.12.724628

mousehuman

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Cancer BiologybioRxivPreprintJan 23, 2026

Targeted therapy-induced chromosomal instability dictates mitotic dependency on Aurora Kinase A

Chendi Li, Varuna Nangia, Melissa D Vieira…·Aaron N. Hata

This study shows that KRASG12C inhibition induces chromosomal instability (CIN) in NSCLC cells, which synergizes with Aurora Kinase A inhibition to enhance therapeutic efficacy.

DOI 10.64898/2026.01.22.701085

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintJul 2, 2025

Mechanistic modeling and machine learning identifies optimum radiotherapy schedules to prevent treatment-induced metastasis

Christopher J. Graser, Zhi Zhou, Manuel Schürch…·Franziska Michor A

The paper identifies optimal radiotherapy schedules to reduce metastasis by combining mechanistic modeling and machine learning with in silico clinical trials.

DOI 10.1101/2025.07.02.662373

machine learning (classical)transformer / foundation model

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