Author

G. M. Chen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:clustering· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Assay:CITE-seq· 1 Research Focus:differential expression· 1

Frequent Co-Authors

K. Tan· 2 shared A. Chew· 1 shared B. Haibe-Kains· 1 shared B. L. Levine· 1 shared C. Alanio· 1 shared C. H. June· 1 shared C. L. Nobles· 1 shared D. . L. Porter· 1 shared

Activity by Year

2017-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersImmunology

K. Tan

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Decade-long remissions of leukemia sustained by the persistence of activated CD4+ CAR T-cells

J. J. Melenhorst, G. M. Chen, M. Wang, D. . L. Porter, P. Gao, S. Bandyopadhyay, I. Pruteanu-Malinici, C. L. Nobles, S. Maji, N. V. Frey, S. I. Gill, L. Tian, I. Kulikovskaya, M. Gupta, M. M. Davis, , C. H. June

This study tracks long-term persistence of CD4+ CAR T-cells in CLL patients, showing their role in sustained remission and clonal stability over 10 years.

bioRxiv · May 7, 2021 · PreprintImmunology

Network Analysis Reveals Synergistic Genetic Dependencies for Rational Combination Therapy in Philadelphia Chromosome-like Acute Lymphoblastic Leukemia

Y.-Y. Ding, H. Kim, K. Madden, J. P. Loftus, G. M. Chen, D. H. Allen, R. Zhang, J. Xu, Y. Hu, S. K. Tasian, K. Tan

The paper identifies synergistic genetic targets in Ph-like B-ALL using network analysis to guide combination therapy, showing improved efficacy in preclinical models.

bioRxiv · Jan 6, 2021Cancer Biology

Consensus on Molecular Subtypes of Ovarian Cancer

G. M. Chen, L. Kannan, L. Geistlinger, V. Kofia, Z. Safikhani, D. M. A. Gendoo, G. Parmigiani, M. Birrer, B. Haibe-Kains, L. Waldron

The paper evaluates three ovarian cancer subtype classifiers, finds they are not robust, and proposes a consensus classifier with a 100-gene signature that improves stratification of a minority of tumors.

bioRxiv · Jul 12, 2017Cancer Biology