Author

L. Marchionni

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· 4 Immunology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Research Focus:differential expression· 4 Approach:experimental assay· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:drug response / drug discovery· 2 Assay:scRNA-seq· 2

Frequent Co-Authors

M. Loda· 3 shared M. Omar· 3 shared B. D. Robinson· 2 shared E. M. Schaeffer· 2 shared A. C. Dueck· 1 shared A. Dillard· 1 shared A. Kubas-Meyer· 1 shared A. M. De Marzo· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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3 shared papersCancer Biology

M. Loda

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Tumor-Specific CD8+ T Cells from the Bone Marrow Resist Exhaustion and Exhibit Increased Persistence in Tumor-Bearing Hosts as Compared to Tumor Infiltrating Lymphocytes

E. M. Zawidzka, L. Biavati, A. Thomas, C. L. Zanettini, L. Marchionni, R. Leone, I. Borrello

This study compares tumor-specific CD8+ T cells from the bone marrow with tumor-infiltrating lymphocytes, finding BM T cells to be more effective in persistence and function for adoptive cell therapy.

bioRxiv · Aug 28, 2023Immunology

Distinct mesenchymal cell states mediate prostate cancer progression

H. Pakula, M. Omar, R. Carelli, F. Pederzoli, G. N. Fanelli, T. Pannellini, L. Van Emmenis, S. Rodrigues, C. Fidalgo-Ribeiro, P. V. Nuzzo, N. J. Brady, M. Jere, C. Unkenholz, M. K. Alexanderani, F. Khani, , M. Loda

This study identifies distinct mesenchymal cell states in prostate cancer stroma that correlate with metastatic progression and develops a gene signature to predict patient outcomes.

bioRxiv · Mar 29, 2023Cancer Biology

Using Attention-based Deep Learning to Predict ERG:TMPRSS2 Fusion Status in Prostate Cancer from Whole Slide Images

M. Omar, Z. Xu, S. B. Rand, M. Mohammad, D. C. Salles, E. M. Schaeffer, B. D. Robinson, T. L. Lotan, M. Loda, L. Marchionni

This paper develops a deep learning model to predict ERG:TMPRSS2 fusion status in prostate cancer from whole slide images and identifies associated morphological features.

bioRxiv · Nov 18, 2022 · PreprintPathology

Type 1 interferon perturbates clonal competition by reshaping human blood development

C. Lama, D. Isakov, S. Rosenberg, M. Quijada-Alamo, M. S. Saurty-Seerunghen, S. Moein, T.-A. Abera, O. Sakaguchi, M. Totwani, G. Freed, C.-L. Poon, N. Parghi, A. Kubas-Meyer, A. X. Xie, M. Omar, , A. S. Nam

The paper investigates how type 1 interferon affects clonal competition in human blood development by altering HSC differentiation states and clonal fitness.

bioRxiv · Sep 28, 2022Cancer Biology

Transcriptional landscape of PTEN loss in primary prostate cancer

E. L. Imada, D. F. Sanchez, W. Dinalankara, T. Vidotto, E. M. Ebot, S. Tyekucheva, G. R. Franco, L. Mucci, M. Loda, E. M. Schaeffer, T. Lotan, L. Marchionni

The paper identifies a transcriptomic signature of PTEN loss in prostate cancer, revealing immune system activation and cell-cycle gene upregulation, and expands it to include non-coding RNAs.

bioRxiv · Oct 8, 2020 · PreprintCancer Biology

Cell-type specific expression of oncogenic and tumor suppressive microRNAs in the human prostate and prostate cancer

B. Kumar, A. Z. Rosenberg, S. M. Choi, K. Fox-Talbot, A. M. De Marzo, L. Nonn, W. N. Brennen, L. Marchionni, M. K. Halushka, S. E. Lupold

The paper quantifies miRNA expression in prostate stroma and epithelium, finding cell-type specific patterns and associations with prostate cancer recurrence.

bioRxiv · Jan 20, 2018Cancer Biology