2018
DOI: 10.1002/pmic.201700169
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Proteome Heterogeneity in Colorectal Cancer

Abstract: Tumor heterogeneity is an important feature of colorectal cancer (CRC) manifested by dynamic changes in gene expression, protein expression, and availability of different tumor subtypes. Recent publications in the past 10 years have revealed proteome heterogeneity between different colorectal tumors and within the same tumor site. This paper reviews recent research works on the proteome heterogeneity in CRC, which includes the heterogeneity within a single tumor (intratumor heterogeneity), between different an… Show more

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Cited by 18 publications
(20 citation statements)
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“…Additionally, right-and left-sided CRC also have distinct mutational profiles [17]. Studies have also found significant differences in protein expression and plasma metabolites between patients with tumors in the right or left colon [18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, right-and left-sided CRC also have distinct mutational profiles [17]. Studies have also found significant differences in protein expression and plasma metabolites between patients with tumors in the right or left colon [18][19][20][21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…3 CRC has been reported to be prevalent in the elderly with an average age of about 71 years old; however, the average age of CRC has been falling in recent years; so the incidence of the disease in people under 50 years are afflicted. 5 To our relief, microRNAs (miRs) have been proven to be successful tumor suppressors in the treatment of various types of carcinomas as they can function in inhibiting tumor or oncogenes. 5 To our relief, microRNAs (miRs) have been proven to be successful tumor suppressors in the treatment of various types of carcinomas as they can function in inhibiting tumor or oncogenes.…”
mentioning
confidence: 99%
“…We found no protein shared between all secretome and proteome studies. This discrepancy may be due to the diversity of proteomic techniques used by different studies; or limitations in proteomic analysis related to sample preparation and sample heterogeneity, proteome complexity to be analyzed, especially regarding protein expression levels; and limitations of the analytical methods [112][113][114][115]. To overcome these limitations, we selected the proteins presented in two or more studies, aiming to increase the possibility of detecting proteins involved in pancreatic cancer.…”
Section: Discussionmentioning
confidence: 99%
“…Cancers 2020, 12, x 14 of 32 determined by Cox univariate regression analysis is shown in each Kaplan-Meier survival plot. Datasets of PDAC patients: PDAC-TCGA [112], PACA-AU-ICGC [113], GSE21501 [19], and GSE28735 [20,114].…”
Section: Secretome Gene Expression Predicts Cancer Outcomes In Differmentioning
confidence: 99%