Gene expression profiles in genome instability-based classes of colorectal cancer

被引:11
|
作者
Barresi, Vincenza [1 ,2 ]
Cinnirella, Giacomo [1 ]
Valenti, Giovanna [1 ]
Spampinato, Giorgia [1 ]
Musso, Nicolo [1 ]
Castorina, Sergio [3 ,4 ]
Condorelli, Daniele F. [1 ,2 ]
机构
[1] Univ Catania, Sect Med Biochem, Dept Biomed & Biotechnol Sci, Viale Santa Sofia 89-97, I-95123 Catania, Italy
[2] Univ Catania, Scuola Super Catania, Lab Complex Syst, Catania, Italy
[3] Univ Catania, Dept Surg Med Sci & Adv Technol GF Ingrassia, Catania, Italy
[4] Fdn Mediterranea GB Morgagni, Catania, Italy
来源
BMC CANCER | 2018年 / 18卷
关键词
Colorectal cancer; Broad copy number aberrations; Gene expression profiles; Consensus molecular subtypes; Mucinous colorectal tumors; COPY-NUMBER ALTERATIONS; LGR5(+) STEM-CELLS; UP-REGULATION; NEUTRAL-LOSS; HUMAN COLON; PROGRESSION; MUC2; RAT; HETEROZYGOSITY; OVEREXPRESSION;
D O I
10.1186/s12885-018-5174-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundBroad copy number aberrations (BCNAs) represent a common form of genome instability in colorectal cancer (CRC). CRCs show large variations in their level of aneuploidy: microsatellite-instable (MSI) tumors are known to have a near-diploid karyotype while microsatellite-stable (MSS) tumors show high level of chromosomal instability. However, MSS tumors have great heterogeneity in the number of BCNAs, with a minor percentage of samples showing an almost normal karyotype. In the present work we subdivided MSS CRCs according to a BCNA score and characterized their transcriptome profiles, considered as a proxy to their phenotypic features.MethodsMicrosatellite testing, genome-wide DNA copy number and whole-transcript expression analysis (HTA) were performed on 33 tumor samples and 25 normal colonic tissue samples from 32 CRC patients. 15.1% of the samples were MSI tumors (n=5), whereas 84.9% were MSS tumors (n=28). Gene expression data of 34 additional MSI tumors was retrieved from a public functional genomics data repository.ResultsUsing as a threshold the first quartile of the BCNA score distribution, MSS samples were classified as low-BCNA (LB, n=7) or high-BCNA (HB, n=21). LB tumors were enriched for mucinous CRCs and their gene-expression profile resembled that of MSI samples for what concerns a subset of genes involved in secretory processes, mucosal protection, and extracellular matrix remodeling. HB tumors were predominantly non-mucinous adenocarcinomas and showed overexpression of a subset of genes typical of surface colonocytes and EGF signaling. A large percentage of unclassified samples according to the consensus molecular subtypes (CMS) classifier was found in the LB group (43%), whereas 76% HB tumors belonged to CMS2.ConclusionsA classification of colorectal tumors based on the number of BCNAs identifies two groups of MSS tumors which differ for histopathology and gene expression profile. Such information can be exploited for its translational relevance in different aspects of CRC clinical management.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Analysis of gene expression profiles reveals novel correlations with the clinical course of colorectal cancer
    Cavalieri, Duccio
    Dolara, Piero
    Mini, Enrico
    Luceri, Cristina
    Castagnini, Cinzia
    Toti, Simona
    Maciag, Karolina
    De Filippo, Carlotta
    Nobili, Stefania
    Morganti, Maria
    Napoli, Cristina
    Tonini, Giulia
    Baccini, Michela
    Biggeri, Annibale
    Tonelli, Francesco
    Valanzano, Rosa
    Orlando, Claudio
    Gelmini, Stefania
    Cianchi, Fabio
    Messerini, Luca
    Luzzatto, Lucio
    [J]. ONCOLOGY RESEARCH, 2007, 16 (11) : 535 - 548
  • [22] Genome-wide profiles of methylation, microRNAs, and gene expression in chemoresistant breast cancer
    He, Dong-Xu
    Gu, Feng
    Gao, Fei
    Hao, Jun-jun
    Gong, Desheng
    Gu, Xiao-Ting
    Mao, Ai-Qin
    Jin, Jian
    Fu, Li
    Ma, Xin
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [23] Genome-wide profiles of methylation, microRNAs, and gene expression in chemoresistant breast cancer
    Dong-Xu He
    Feng Gu
    Fei Gao
    Jun-jun Hao
    Desheng Gong
    Xiao-Ting Gu
    Ai-Qin Mao
    Jian Jin
    Li Fu
    Xin Ma
    [J]. Scientific Reports, 6
  • [24] The Evolutionary Dynamics of Chromosomal Instability and Genome Doubling in Colorectal Cancer
    Cross, W. C. H.
    Gabbutt, C.
    Caravagna, G.
    Williams, M.
    Graham, T.
    Sottoriva, A.
    Tomlinson, I.
    [J]. JOURNAL OF PATHOLOGY, 2020, 250 : 16 - 16
  • [25] The expression profiles of the galectin gene family in colorectal adenocarcinomas
    Gopalan, Vinod
    Saremi, Nassim
    Sullivan, Emily
    Kabir, Sadiul
    Lu, Cu-Tai
    Salajegheh, Ali
    Leung, Melissa
    Smith, Robert Anthony
    Lam, Alfred King-yin
    [J]. HUMAN PATHOLOGY, 2016, 53 : 105 - 113
  • [26] Gene expression profiles of colorectal cancers resistant to chemotherapy
    Tai, IT
    Pham, TT
    Chen, LB
    [J]. GASTROENTEROLOGY, 2002, 122 (04) : A123 - A124
  • [27] Identification of Tumorigenic and Prognostic Biomarkers in Colorectal Cancer Based on microRNA Expression Profiles
    Shi, Yuntao
    Zhuang, Yingying
    Zhang, Jialing
    Chen, Mengxue
    Wu, Shangnong
    [J]. BIOMED RESEARCH INTERNATIONAL, 2020, 2020
  • [28] Diminished Condensin Gene Expression Drives Chromosome Instability That May Contribute to Colorectal Cancer Pathogenesis
    Baergen, Allison K.
    Jeusset, Lucile M.
    Lichtensztejn, Zelda
    McManus, Kirk J.
    [J]. CANCERS, 2019, 11 (08)
  • [29] Gene expression profiling in colorectal cancer
    Bell, SM
    Murphy, H
    Lewis, FA
    Quirke, P
    [J]. JOURNAL OF PATHOLOGY, 2001, 193 : 47A - 47A
  • [30] PDGFRB gene expression in colorectal cancer
    Fujino, Shiki
    Miyoshi, Norikatsu
    Ohue, Masyuki
    Takahashi, Yusuke
    Yasui, Masyoshi
    Takahashi, Hidenori
    Haraguchi, Naoaki
    Nishimura, Junichi
    Hata, Taishi
    Mastuda, Cyu
    Mizushima, Tsunekazu
    Doki, Yuichiro
    Mori, Masaki
    [J]. CANCER SCIENCE, 2018, 109 : 682 - 682