Computational deconvolution of transcriptomics data from mixed cell populations
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 …
confounding factor, resulting in a loss of signal from lowly abundant cell types. In this review …
From signatures to models: understanding cancer using microarrays
Genomics has the potential to revolutionize the diagnosis and management of cancer by
offering an unprecedented comprehensive view of the molecular underpinnings of …
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 …
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
Acute myeloid leukemia (AML) manifests as phenotypically and functionally diverse cells,
often within the same patient. Intratumor phenotypic and functional heterogeneity have been …
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
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 …
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 …
that correlate with the observed histological progression are unclear. Using laser-capture …
Cell type–specific gene expression differences in complex tissues
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 …
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 …
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 …
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 …
often does not correlate with morphologic features of the tumor. Metastasis reflects the most …