Author

D. A. Dorward

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

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Assay:flow cytometry· 1

Frequent Co-Authors

A. R. Akram· 3 shared L. Koppensteiner· 2 shared L. Mathieson· 2 shared R. O'Connor· 2 shared S. Pattle· 2 shared A. Byron· 1 shared A. von Kriegsheim· 1 shared H. F. Titmarsh· 1 shared

Activity by Year

2022-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersCancer Biology

A. R. Akram

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintSep 29, 2022

Quantitative proteomics identifies tumour matrisome signatures in patients with non-small cell lung cancer

H. F. Titmarsh, A. von Kriegsheim, J. C. Wills…·A. R. Akram

The paper identifies tumour-specific ECM proteome signatures in NSCLC patients using mass spectrometry, finding 161 differentially regulated matrisome proteins and two novel extracellular markers associated with poorer survival.

DOI 10.1101/2022.09.29.510064

humanproteomics

𝕏 PostBluesky

Cancer BiologybioRxivPreprintSep 29, 2022

Location of CD39+ T cell sub-populations within tumours predict differential outcomes in non-small cell lung cancer.

L. Koppensteiner, L. Mathieson, S. Pattle…·A. R. Akram

The paper identifies CD39+ T cell sub-populations in NSCLC tumors and shows their spatial distribution correlates with patient outcomes.

DOI 10.1101/2022.09.29.509921

humanbulk RNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivPreprintSep 28, 2022

Subpopulations of cancer-associated fibroblasts expressing fibroblast activation protein and podoplanin in non-small cell lung cancer are a predictor of poor clinical outcome

L. Mathieson, L. Koppensteiner, S. Pattle…·A. R. Akram

The paper identifies CAF subtypes in NSCLC using flow cytometry and scRNA-seq, showing CAF-S1 and CAF-S5 are associated with poor patient survival.

DOI 10.1101/2022.09.28.509919

humanflow cytometry

𝕏 PostBluesky