Author

Sara Flowers

Memorial Sloan Kettering Cancer Center

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· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Assay:imaging· 2 Approach:statistical model· 2

Frequent Co-Authors

Paul Bernard RomesseriD· 3 shared Aveline A. FillioliD· 2 shared Maria SkamagkiiD· 2 shared Marjan StoimcheviD· 2 shared Nevenka DimitrovaiD· 2 shared Scott W. LoweiD· 2 shared Aiden M. PhoebeiD· 1 shared Almudena Chaves PereziD· 1 shared

Activity by Year

2026-2026 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersCancer Biology

Paul Bernard RomesserORCID

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Author profile →

4 papers

Recent·Most cited

Beyond Segmentation Accuracy: Evaluating Biological Fidelity in Spatial Pathology

Nevenka Dimitrova, Marjan Stoimchev, Aveline Filliol, Sara Flowers, Anthony Cipriano, Pranav Suresh, Paul Romesser, Scott Lowe

The paper evaluates how segmentation accuracy affects biological fidelity in spatial pathology, finding that segmentation errors significantly impact tumor-immune interactions despite similar segmentation performance.

bioRxiv · Oct 19, 2026 · PreprintBioinformatics

Discovering Latent Scientific Concepts through Discrete Representation Learning

Marjan Stoimchev, Monu Verma, Aveline A. Filliol, Maria Skamagki, Sara Flowers, Jacob Cohen, Zachary Azadian, Nancy R. Newlin, Mohamed Saeed Abdel-Mottaleb, Sašo Džeroski, Paul Bernard Romesser, Scott W. Lowe, Nevenka Dimitrova

This paper introduces Kodiak, a discrete representation learning method for scientific imaging that improves representation quality and enables interpretable, reusable concepts across domains.

bioRxiv · Oct 6, 2026 · PreprintCancer Biology

Senescence-directed nanotherapy ameliorates fibrosis and overcomes immune exclusion in cancer

Clemens Hinterleitner, Valentin J.A. Barthet, Hailey V. Goldberg, Kristen C. Vogt, Ana Marie Perea, Logan R. Hillger, Stephen B. Ruiz, Domhnall McHugh, Yu-Jui Ho, Almudena Chaves Perez, Maria Skamagki, Sara Flowers, Hannah C. Styers, Natasha Rekhtman, Xueqian Zhuang, , Scott W. Lowe

P-selectin-targeted fucoidan nanoparticles carrying Navitoclax or dBET6 deplete a senescent-like, lipid-associated macrophage subset, reverse mouse liver and lung fibrosis with less toxicity, and restore checkpoint therapy response in fibrotic tumors.

Science · Sep 24, 2026Peer-reviewedCancer Biology✦ In-depth digest

A Paracrine Dietary Lipid Axis Constrains Antitumor Immunity in Liver Cancer

Nicolae Ciobu, Reena Kumari, Jeevotham S. Kumar, Ugne Balaseviciute, Maria Iftesum, Jonathan Mitchell, Justin Ruiz, Sara Flowers, Kaila Nishikawa, Guillem Cano-Segarra, Anna Vila-Escoda, Yang Xiao, Aiden M. Phoebe, Raúl Navaridas, Marcella Steffani, , Viraj R. Sanghvi

This study identifies a dietary lipid axis driven by linoleic acid and FADS2 that suppresses antitumor immunity in liver cancer, offering a therapeutic target for immunotherapy resistance.

bioRxiv · Jun 26, 2026 · PreprintCancer Biology