Common markers of proliferation

By Michael L. Whitfield, Lacy K. George, Gavin D. Grant, Charles M. Perou. Nature Reviews. Cancer, 2006

622 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9ca7d49c6b917c7a0fcc0c879606cfe8a34c744f

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In Oncology

Citations in the corpus

A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers (2006, background): “There was also an overlap of four genes between our CIN25 signature and a previously described 44-gene 'proliferation cluster”
When mutants gain new powers: news from the mutant p53 field (2009, background): “Importantly, high expression of the proliferation-associated gene cluster, known as the proliferation signatur”
Long Noncoding RNA MALAT1 Controls Cell Cycle Progression by Regulating the Expression of Oncogenic Transcription Factor B-MYB (2013, background): “It is one of the dominant gene signatures for highly proliferative cells observed across multiple tumor types and is highly overexpressed in several cancers [81,82,83].”
Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome (2011, background): “A proliferation cluster was noticed in early breast cancer microarray studies [50–52], and proliferation is the major variable behind gene expression-based breast cancer prognosis [7–9].”
Ki-67 as prognostic marker in early breast cancer: a meta-analysis of published studies involving 12 155 patients (2007, background): “…gene array techniques have revealed the Ki-67 gene’s role in several ‘proliferation signatures’, showing that a set of genes with increased expression patterns is correlated with tumour cell proliferation rates, as assessed by the Ki-67 labelling index (Perou et al, 1999; Whitfield et al, 2006).”
Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures (2008, background): “CCYC [44] Periodic expression in cell cycle progression NA 126”
T cell fate and clonality inference from single cell transcriptomes (2016, methodology): “For plotting gene expression for each cell within ICA space, 259 genes indicating a Th1-like fate and seven indicators of proliferation (Mki67, Mybl2, Bub1, Plk1, Ccne1, Ccnd1, Ccnb1) were taken from previous work 32,35 and their expression levels (in TPM) were summed for each cell.”
Decoding global gene expression programs in liver cancer by noninvasive imaging (2007, background): “The 'venous invasion signature' comprises genes involved in cell proliferation ( CDK4 , CDC20 , MCM5 ) and matrix invasion ( ADAMTS1 , MMP14, SPARCL1 )—genes known to be induced in other HCC data sets and indeed in many types of cancer”
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq (2016, neutral): “To characterize cycling cells more precisely, we used gene signatures previously shown to denote G1/S or G2/M phases in both synchronization (20) and single-cell (16) experiments in cell lines.”
Matrix density-induced mechanoregulation of breast cell phenotype, signaling, and gene expression through a FAK-ERK linkage (2009, positive): “Consistent with these findings, immunofluorescent microscopy of 3D cultures confirmed that increased matrix stiffness induced vinculin and paxillin-positive 3D-matrix adhesions (Fig 2B).”