Computational deconvolution of transcriptomics data from mixed cell populations

F Avila Cobos, J Vandesompele, P Mestdagh… - …, 2018 - academic.oup.com
Gene expression analyses of bulk tissues often ignore cell type composition as an important
confounding factor, resulting in a loss of signal from lowly abundant cell types. In this review …

From signatures to models: understanding cancer using microarrays

E Segal, N Friedman, N Kaminski, A Regev, D Koller - Nature genetics, 2005 - nature.com
Genomics has the potential to revolutionize the diagnosis and management of cancer by
offering an unprecedented comprehensive view of the molecular underpinnings of …

Virtual microdissection identifies distinct tumor-and stroma-specific subtypes of pancreatic ductal adenocarcinoma

RA Moffitt, R Marayati, EL Flate, KE Volmar… - Nature …, 2015 - nature.com
Pancreatic ductal adenocarcinoma (PDAC) remains a lethal disease with a 5-year survival
rate of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes …

Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis

JH Levine, EF Simonds, SC Bendall, KL Davis… - Cell, 2015 - cell.com
Acute myeloid leukemia (AML) manifests as phenotypically and functionally diverse cells,
often within the same patient. Intratumor phenotypic and functional heterogeneity have been …

Molecular evolution of early-onset prostate cancer identifies molecular risk markers and clinical trajectories

C Gerhauser, F Favero, T Risch, R Simon, L Feuerbach… - Cancer cell, 2018 - cell.com
Identifying the earliest somatic changes in prostate cancer can give important insights into
tumor evolution and aids in stratifying high-from low-risk disease. We integrated whole …

Integrative molecular concept modeling of prostate cancer progression

SA Tomlins, R Mehra, DR Rhodes, X Cao, L Wang… - Nature …, 2007 - nature.com
Despite efforts to profile prostate cancer, the genetic alterations and biological processes
that correlate with the observed histological progression are unclear. Using laser-capture …

Cell type–specific gene expression differences in complex tissues

SS Shen-Orr, R Tibshirani, P Khatri, DL Bodian… - Nature …, 2010 - nature.com
We describe cell type–specific significance analysis of microarrays (csSAM) for analyzing
differential gene expression for each cell type in a biological sample from microarray data …

[HTML][HTML] Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer

GV Glinsky, O Berezovska… - The Journal of clinical …, 2005 - Am Soc Clin Investig
Activation in transformed cells of normal stem cells' self-renewal pathways might contribute
to the survival life cycle of cancer stem cells and promote tumor progression. The BMI-1 …

The landscape of immune cells infiltrating in prostate cancer

Z Wu, H Chen, W Luo, H Zhang, G Li, F Zeng… - Frontiers in …, 2020 - frontiersin.org
Background This study was to explore the infiltration pattern of immune cells in the prostate
cancer (PCa) microenvironment and evaluate the possibility of specific infiltrating immune …

Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process

UR Chandran, C Ma, R Dhir, M Bisceglia… - BMC cancer, 2007 - Springer
Background Prostate cancer is characterized by heterogeneity in the clinical course that
often does not correlate with morphologic features of the tumor. Metastasis reflects the most …