Author

L. M. Coussens

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· 7 Immunology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 8 Research Focus:cell type annotation· 6 Research Focus:differential expression· 5 Organism:human· 5 Assay:bulk RNA-seq· 4 Research Focus:cell-cell communication· 4 Organism:mouse· 4 Assay:proteomics· 4

Frequent Co-Authors

G. B. Mills· 4 shared J. Goecks· 4 shared J. W. Gray· 4 shared S. Sivagnanam· 4 shared Y. H. Chang· 4 shared K. Chin· 3 shared A. L. Creason· 2 shared B. E. Johnson· 2 shared

Activity by Year

2020-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersCancer Biology

G. B. Mills

Mutual co-authors in cluster

Author profile →

9 papers

Recent·Most cited

Metabolic abnormalities in the bone marrow cells of young offspring born to obese mothers

E. A. Phillips, Y. J. Alharithi, L. Kadam, L. M. Coussens, S. Kumar, A. Maloyan

This study identifies metabolic and immune changes in the bone marrow of young offspring from obese mothers, using a mouse model and targeted metabolomics.

bioRxiv · Nov 29, 2023 · PreprintPhysiology

Machine learning links T cell function and spatial localization to neoadjuvant immunotherapy and clinical outcome in pancreatic cancer

K. E. Blise, S. Sivagnanam, C. B. Betts, K. Betre, N. Kirchberger, B. Tate, E. E. Furth, A. Dias Costa, J. A. Nowak, B. M. Wolpin, R. H. Vonderheide, J. Goecks, L. M. Coussens, K. Byrne

This study uses machine learning to analyze spatial proteomic data from pancreatic cancer patients, linking T cell function and localization to neoadjuvant CD40 therapy and clinical outcomes.

bioRxiv · Oct 20, 2023Cancer Biology

Longitudinal and multimodal auditing of tumor adaptation to CDK4/6 inhibitors in HR+ metastatic breast cancers

A. L. Creason, J. Egger, C. Watson, S. Sivagnanam, K. Chin, K. MacPherson, J.-R. Lin, Y.-A. Chen, B. E. Johnson, H. S. Feiler, D. Galipeau, N. E. Navin, E. Demir, Y. H. Chang, C. L. Corless, , J. Goecks

This study creates a multimodal tumor atlas to analyze how metastatic HR+ breast cancers adapt to CDK4/6 inhibitors, revealing mechanisms like mTORC1 activation and immune microenvironment changes.

bioRxiv · Sep 27, 2023 · PreprintCancer Biology

A Novel Mouse Model that Recapitulates the Heterogeneity of Human Triple Negative Breast Cancer

Z. O. Doha, X. Wang, N. Calistri, J. Eng, C. J. Daniel, L. Ternes, E. N. Kim, C. Pelz, M. Munks, C. Betts, N. Kirchberger, S. Kwon, E. Bucher, X. Li, T. Waugh, , R. C. Sears

This paper develops a novel mouse model of TNBC by combining MYC amplification and PTEN deletion, showing it recapitulates human TNBC heterogeneity through omic analyses.

bioRxiv · Oct 7, 2022 · PreprintCancer Biology

T cell Egress via Lymphatic Vessels Limits the Intratumoral T cell Repertoire in Melanoma

M. M. Steele, I. D. Dryg, D. Murugan, J. Femel, H. du Bois, C. Hill, S. A. Leachman, Y. H. Chang, L. M. Coussens, A. W. Lund

The paper shows that T cell egress via lymphatic vessels limits intratumoral T cell diversity, and that CXCR4 inhibition enhances T cell retention and improves immunotherapy response.

bioRxiv · May 30, 2022 · PreprintImmunology

Multiplex spatial systems analysis of local nanodose drug responses predicts effective treatment combinations of immunotherapies and targeted agents in mammary carcinoma

Z. Tatarova, D. C. Blumberg, J. E. Korkola, L. M. Heiser, J. L. Muschler, P. J. Schedin, S. W. Ahn, G. B. Mills, L. M. Coussens, O. Jonas, J. W. Gray

The paper develops a MIMA system to assess drug combinations in tumors, identifying effective immunotherapy and targeted agent combinations with minimal toxicity.

bioRxiv · Sep 1, 2021 · PreprintCancer Biology

Single-Cell Spatial Proteomics Analyses of Head and Neck Squamous Cell Carcinoma Reveal Tumor Heterogeneity and Immune Architectures Associated with Clinical Outcome

K. E. Blise, S. Sivagnanam, G. L. Banik, L. M. Coussens, J. Goecks

The paper uses single-cell spatial proteomics to analyze HNSCC tumors, showing that tumor-immune compartmentalization is linked to better clinical outcomes.

bioRxiv · Mar 10, 2021Cancer Biology

An Omic and Multidimensional Spatial Atlas from Serial Biopsies of an Evolving Metastatic Breast Cancer

B. E. Johnson, A. L. Creason, J. M. Stommel, J. M. Keck, S. Parmar, C. B. Betts, A. Blucher, C. Boniface, E. Bucher, E. A. Burlingame, T. Camp, K. Chin, J. Eng, J. Estabrook, H. S. Feiler, , J. W. Gray

This paper presents an OMS Atlas from serial biopsies of a metastatic breast cancer patient, linking clinical data to multi-omic and spatial profiles to study therapy-associated heterogeneity and resistance mechanisms.

bioRxiv · Dec 3, 2020Cancer Biology

Inflammation promotes tumor aggression by stimulating stromal cell-dependent collagen crosslinking and stromal stiffening

O. Maller, A. P. Drain, A. S. Barrett, S. Borgquist, B. Ruffell, P. T. Thanh, T. Gruosso, H. Kuasne, J. N. Lakins, I. Acerbi, J. M. Barnes, T. Nemkov, A. Chauhan, J. Gruenberg, A. Nasir, , V. M. Weaver

This study shows that inflammation promotes tumor aggression by stimulating stromal cell-dependent collagen crosslinking and stiffening, identifying lysyl hydroxylase two as a biomarker.

bioRxiv · Feb 13, 2020Cancer Biology