Toward platelet transcriptomics in cancer diagnosis, prognosis and therapy-Reference-Cited by-同舟云学术

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Toward platelet transcriptomics in cancer diagnosis, prognosis and therapy

Published:2021-11-22 Issue:3 Volume:126 Page:316-322
ISSN:0007-0920
Container-title:British Journal of Cancer
language:en
Short-container-title:Br J Cancer

Author:

Krishnan Anandi^ORCID,Thomas Sally^ORCID

Funder

U.S. Department of Health & Human Services | National Institutes of Health

DH | National Institute for Health Research

UK National Institute for Health Research

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology

Link

https://www.nature.com/articles/s41416-021-01627-z.pdf

Reference103 articles.

1. Nilsson RJA, Balaj L, Hulleman E, van Rijn S, Pegtel DM, Walraven M, et al. Blood platelets contain tumor-derived RNA biomarkers. Blood. 2011;118:3680–3.

2. Gnatenko DV, Dunn JJ, McCorkle SR, Weissmann D, Perrotta PL, Bahou WF. Transcript profiling of human platelets using microarray and serial analysis of gene expression. Blood. 2003;101:2285–93.

3. Gnatenko DV, Zhu W, Xu X, Samuel ET, Monaghan M, Zarrabi MH, et al. Class prediction models of thrombocytosis using genetic biomarkers. Blood. 2010;115:7–14.

4. Rondina MT, Voora D, Simon LM, Schwertz H, Harper JF, Lee O, et al. Longitudinal RNA-seq analysis of the repeatability of gene expression and splicing in human platelets identifies a platelet SELP splice QTL. Circ Res. 2020;126:501–16.

5. Rowley JW, Weyrich AS, Bray PF. The Platelet Transcriptome in Health and Disease. In: Michelson AD, ed. Platelets (Fourth Edition). Academic Press; 2019:139–53.

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3. Heterogeneity of platelets and their responses;Research and Practice in Thrombosis and Haemostasis;2024-02

4. Unsupervised and Supervised Machine Learning to Identify Variability of Tumor-Educated Platelets and Association with Pan-Cancer: A Cross-National Study;Fundamental Research;2023-11

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