Gene Summary

Gene:BCAS1; breast carcinoma amplified sequence 1
Aliases: AIBC1, NABC1
Summary:This gene resides in a region at 20q13 which is amplified in a variety of tumor types and associated with more aggressive tumor phenotypes. Among the genes identified from this region, it was found to be highly expressed in three amplified breast cancer cell lines and in one breast tumor without amplification at 20q13.2. However, this gene is not in the common region of maximal amplification and its expression was not detected in the breast cancer cell line MCF7, in which this region is highly amplified. Although not consistently expressed, this gene is a candidate oncogene. [provided by RefSeq, Apr 2016]
Databases:OMIM, HGNC, Ensembl, GeneCard, Gene
Protein:breast carcinoma-amplified sequence 1
Source:NCBIAccessed: 29 August, 2019


What does this gene/protein do?
BCAS1 is implicated in:
- cytoplasm
Data from Gene Ontology via CGAP

Cancer Overview

Research Indicators

Publications Per Year (1994-2019)
Graph generated 29 August 2019 using data from PubMed using criteria.

Literature Analysis

Mouse over the terms for more detail; many indicate links which you can click for dedicated pages about the topic.

  • Biomarkers, Tumor
  • BCAS1
  • Oligonucleotide Array Sequence Analysis
  • Messenger RNA
  • Adenocarcinoma
  • Rectum
  • Zinc Fingers
  • Exons
  • Cancer Gene Expression Regulation
  • Molecular Sequence Data
  • Transcription
  • Down-Regulation
  • FISH
  • Gene Amplification
  • Base Sequence
  • Breast Cancer
  • Alternative Splicing
  • Gene Ontology
  • Prostate Cancer
  • Neoplasm Proteins
  • Chromosome 20
  • Amino Acid Sequence
  • Chromosome Aberrations
  • Transcriptome
  • DNA Primers
  • Single Nucleotide Polymorphism
  • Spectrophotometry
  • Gene Expression Profiling
  • Colorectal Cancer
  • Receptor, erbB-2
  • Proto-Oncogene Proteins c-myc
  • Genome, Human
  • RT-PCR
  • Drug Resistance
  • Colon
  • Up-Regulation
  • Bladder Cancer
  • Tumor Suppressor Proteins
  • Genotype
Tag cloud generated 29 August, 2019 using data from PubMed, MeSH and CancerIndex

Specific Cancers (1)

Data table showing topics related to specific cancers and associated disorders. Scope includes mutations and abnormal protein expression.

Note: list is not exhaustive. Number of papers are based on searches of PubMed (click on topic title for arbitrary criteria used).

Latest Publications: BCAS1 (cancer-related)

Zhang GH, Chen MM, Kai JY, et al.
Molecular profiling of mucinous epithelial ovarian cancer by weighted gene co-expression network analysis.
Gene. 2019; 709:56-64 [PubMed] Related Publications
PURPOSE: In order to identify the molecular characteristics and improve the efficacy of early diagnosis of mucinous epithelial ovarian cancer (mEOC), here, the transcriptome profiling by weighted gene co-expression network analysis (WGCNA) has been proposed as an effective method.
METHODS: The gene expression dataset GSE26193 was reanalyzed with a systematical approach, WGCNA. mEOC-related gene co-expression modules were detected and the functional enrichments of these modules were performed at GO and KEGG terms. Ten hub genes in the mEOC-related modules were validated using two independent datasets GSE44104 and GSE30274.
RESULTS: 11 co-expressed gene modules were identified by WGCNA based on 4917 genes and 99 epithelial ovarian cancer samples. The turquoise module was found to be significantly associated with the subtype of mEOC. KEGG pathway enrichment analysis showed genes in the turquoise module significantly enriched in metabolism of xenobiotics by cytochrome P450 and steroid hormone biosynthesis. Ten hub genes (LIPH, BCAS1, FUT3, ZG16B, PTPRH, SLC4A4, MUC13, TFF1, HNF4G and TFF2) in the turquoise module were validated to be highly expressed in mEOC using two independent gene expression datasets GSE44104 and GSE30274.
CONCLUSION: Our work proposed an applicable framework of molecular characteristics for patients with mEOC, which may help us to obtain a precise and comprehensive understanding on the molecular complexities of mEOC. The hub genes identified in our study, as potential specific biomarkers of mEOC, may be applied in the early diagnosis of mEOC in the future.

Casadio V, Salvi S, Martignano F, et al.
Cell-Free DNA Integrity Analysis in Urine Samples.
J Vis Exp. 2017; (119) [PubMed] Free Access to Full Article Related Publications
Although the presence of circulating cell-free DNA in plasma or serum has been widely shown to be a suitable source of biomarkers for many types of cancer, few studies have focused on the potential use of urine cell-free (UCF) DNA. Starting from the hypotheses that normal apoptotic cells produce highly fragmented DNA and that cancer cells release longer DNA, the potential role of UCF DNA integrity was evaluated as an early diagnostic marker capable of distinguishing between patients with prostate or bladder cancer and healthy individuals. A UCF DNA integrity analysis is proposed on the basis of four quantitative real-time PCRs of four sequences longer than 250 bp: c-MYC, BCAS1, HER2, and AR. Sequences that frequently have an increased DNA copy number in bladder and prostate cancers were chosen for the analysis, but the method is flexible, and these genes could be substituted with other genes of interest. The potential utility of UCF DNA as a source of biomarkers has already been demonstrated for urologic malignancies, thus paving the way for further studies on UCF DNA characterization. The UCF DNA integrity test has the advantage of being non-invasive, rapid, and easy to perform, with only a few milliliters of urine needed to carry out the analysis.

Chmielecki J, Bailey M, He J, et al.
Genomic Profiling of a Large Set of Diverse Pediatric Cancers Identifies Known and Novel Mutations across Tumor Spectra.
Cancer Res. 2017; 77(2):509-519 [PubMed] Related Publications
Pediatric cancers are generally characterized by low mutational burden and few recurrently mutated genes. Recent studies suggest that genomic alterations may help guide treatment decisions and clinical trial selection. Here, we describe genomic profiles from 1,215 pediatric tumors representing sarcomas, extracranial embryonal tumors, brain tumors, hematologic malignancies, carcinomas, and gonadal tumors. Comparable published datasets identified similar frequencies of clinically relevant alterations, validating this dataset as biologically relevant. We identified novel ALK fusions in a neuroblastoma (BEND5-ALK) and an astrocytoma (PPP1CB-ALK), novel BRAF fusions in an astrocytoma (BCAS1-BRAF) and a ganglioglioma (TMEM106B-BRAF), and a novel PAX3-GLI2 fusion in a rhabdomyosarcoma. Previously characterized ALK, NTRK1, and PAX3 fusions were observed in unexpected malignancies, challenging the "disease-specific" alterations paradigm. Finally, we identified recurrent variants of unknown significance in MLL3 and PRSS1 predicted to have functional impact. Data from these 1,215 tumors are publicly available for discovery and validation. Cancer Res; 77(2); 509-19. ©2017 AACR.

Cui X, Shen K, Xie Z, et al.
Identification of key genes in colorectal cancer using random walk with restart.
Mol Med Rep. 2017; 15(2):867-872 [PubMed] Related Publications
As the most common type of cancer and the second leading cause of cancer-associated mortality, colorectal cancer (CRC) has received increasing attention. The aim of the present study was to investigate the mechanisms of CRC by analyzing the microarray dataset, GSE32323. The GSE32323 dataset was downloaded from the Gene Expression Omnibus, and included 17 pairs of matched cancer and normal colorectal tissue samples. The differentially expressed genes (DEGs) were screened using the Linear Models for Microarray Data package and a search of CRC genes, also denoted as seed genes, was performed using the Online Mendelian Inheritance in Man database. Subsequently, the protein‑protein interaction (PPI) network was downloaded from the Search Tool for the Retrieval of Interacting Genes database and the sub‑network (CRC.PPI) of the DEGs and seed genes were obtained. In addition, the top 50 nodes with highest affinity scores in the CRC.PPI were identified using random walk with restart analysis. The potential functions of the DEGs included in the top 50 nodes were analyzed using the Database for Annotation, Visualization and Integrated Discovery online tool. Using the Drug Gene Interaction database, drug‑gene interaction analysis was performed to identify antineoplastic drug interacts with genes. A total of 1,640 DEGs between the CRC and normal samples were screened. The obtained seed genes included cyclin D1 (CCND1) and aurora kinase A (AURKA). The enriched functions for the 31 DEGs in the PPI network of the top 50 nodes were predominantly associated with cell cycle. The DEGs may function in CRC by interacting with other genes in the PPI network of the top 50 nodes, for example, DEP domain‑containing MTOR‑interacting protein (DEPTOR)‑CCND1, AURKA‑breast carcinoma amplified sequence‑1 (BCAS1), CCND1‑BCAS1, CCND1‑neural precursor cell expressed developmentally downregulated 9 (NEDD9) and CCND1‑mitogen‑activated protein kinase kinase 2 (MAP2K2). Only three DEGs (CCND1, AURKA and DEPTOR) had interactions with their corresponding antineoplastic drugs. Taken together, DEPTOR, AURKA, CCND1, BCAS1, NEDD9 and MAP2K2 may act in CRC.

Zeitz MJ, Ay F, Heidmann JD, et al.
Genomic interaction profiles in breast cancer reveal altered chromatin architecture.
PLoS One. 2013; 8(9):e73974 [PubMed] Free Access to Full Article Related Publications
Gene transcription can be regulated by remote enhancer regions through chromosome looping either in cis or in trans. Cancer cells are characterized by wholesale changes in long-range gene interactions, but the role that these long-range interactions play in cancer progression and metastasis is not well understood. In this study, we used IGFBP3, a gene involved in breast cancer pathogenesis, as bait in a 4C-seq experiment comparing normal breast cells (HMEC) with two breast cancer cell lines (MCF7, an ER positive cell line, and MDA-MB-231, a triple negative cell line). The IGFBP3 long-range interaction profile was substantially altered in breast cancer. Many interactions seen in normal breast cells are lost and novel interactions appear in cancer lines. We found that in HMEC, the breast carcinoma amplified sequence gene family (BCAS) 1-4 were among the top 10 most significantly enriched regions of interaction with IGFBP3. 3D-FISH analysis indicated that the translocation-prone BCAS genes, which are located on chromosomes 1, 17, and 20, are in close physical proximity with IGFBP3 and each other in normal breast cells. We also found that epidermal growth factor receptor (EGFR), a gene implicated in tumorigenesis, interacts significantly with IGFBP3 and that this interaction may play a role in their regulation. Breakpoint analysis suggests that when an IGFBP3 interacting region undergoes a translocation an additional interaction detectable by 4C is gained. Overall, our data from multiple lines of evidence suggest an important role for long-range chromosomal interactions in the pathogenesis of cancer.

Fenne IS, Helland T, Flågeng MH, et al.
Downregulation of steroid receptor coactivator-2 modulates estrogen-responsive genes and stimulates proliferation of mcf-7 breast cancer cells.
PLoS One. 2013; 8(7):e70096 [PubMed] Free Access to Full Article Related Publications
The p160/Steroid Receptor Coactivators SRC-1, SRC-2/GRIP1, and SRC-3/AIB1 are important regulators of Estrogen Receptor alpha (ERα) activity. However, whereas the functions of SRC-1 and SRC-3 in breast tumourigenesis have been extensively studied, little is known about the role of SRC-2. Previously, we reported that activation of the cAMP-dependent protein kinase, PKA, facilitates ubiquitination and proteasomal degradation of SRC-2 which in turn leads to inhibition of SRC-2-coactivation of ERα and changed expression of the ERα target gene, pS2. Here we have characterized the global program of transcription in SRC-2-depleted MCF-7 breast cancer cells using short-hairpin RNA technology, and in MCF-7 cells exposed to PKA activating agents. In order to identify genes that may be regulated through PKA-induced downregulation of SRC-2, overlapping transcriptional targets in response to the respective treatments were characterized. Interestingly, we observed decreased expression of several breast cancer tumour suppressor genes (e.g., TAGLN, EGR1, BCL11b, CAV1) in response to both SRC-2 knockdown and PKA activation, whereas the expression of a number of other genes implicated in cancer progression (e.g., RET, BCAS1, TFF3, CXCR4, ADM) was increased. In line with this, knockdown of SRC-2 also stimulated proliferation of MCF-7 cells. Together, these results suggest that SRC-2 may have an antiproliferative function in breast cancer cells.

Kumar DM, Patil V, Ramachandran B, et al.
Temozolomide-modulated glioma proteome: role of interleukin-1 receptor-associated kinase-4 (IRAK4) in chemosensitivity.
Proteomics. 2013; 13(14):2113-24 [PubMed] Related Publications
The current treatment for glioblastoma includes temozolomide (TMZ) chemotherapy, yet the mechanism of action of TMZ is not thoroughly understood. Here, we investigated the TMZ-induced changes in the proteome of the glioma-derived cell line (U251) by 2D DIGE. We found 95 protein spots to be significantly altered in their expression after TMZ treatment. MS identified four upregulated spots: aspartyl tRNA synthetase glutathione synthetase, interleukin-1 receptor-associated kinase-4 (IRAK4), and breast carcinoma amplified sequence-1 and one downregulated spot: optineurin. TMZ-induced regulation of these five genes was validated by RT-qPCR and Western blot analysis. RNAi-mediated knockdown of IRAK4, an important mediator of Toll-like receptors signaling and chemoresistance, rendered the glioma cells resistant to TMZ. High levels of IRAK4 induced upon TMZ treatment resulted in IRAK1 downregulation and inhibition of NFkB pathway. Endogenous IRAK4 protein, but not transcript levels in glioma cell lines, correlated with TMZ sensitivity. Thus, we have identified several TMZ-modulated proteins and discovered an important novel role for IRAK4 in determining TMZ sensitivity of glioma cells through its ability to inhibit Toll-like receptor signaling and NFkB pathway.

Cheung HC, Baggerly KA, Tsavachidis S, et al.
Global analysis of aberrant pre-mRNA splicing in glioblastoma using exon expression arrays.
BMC Genomics. 2008; 9:216 [PubMed] Free Access to Full Article Related Publications
BACKGROUND: Tumor-predominant splice isoforms were identified during comparative in silico sequence analysis of EST clones, suggesting that global aberrant alternative pre-mRNA splicing may be an epigenetic phenomenon in cancer. We used an exon expression array to perform an objective, genome-wide survey of glioma-specific splicing in 24 GBM and 12 nontumor brain samples. Validation studies were performed using RT-PCR on glioma cell lines, patient tumor and nontumor brain samples.
RESULTS: In total, we confirmed 14 genes with glioma-specific splicing; seven were novel events identified by the exon expression array (A2BP1, BCAS1, CACNA1G, CLTA, KCNC2, SNCB, and TPD52L2). Our data indicate that large changes (> 5-fold) in alternative splicing are infrequent in gliomagenesis (< 3% of interrogated RefSeq entries). The lack of splicing changes may derive from the small number of splicing factors observed to be aberrantly expressed.
CONCLUSION: While we observed some tumor-specific alternative splicing, the number of genes showing exclusive tumor-specific isoforms was on the order of tens, rather than the hundreds suggested previously by in silico mining. Given the important role of alternative splicing in neural differentiation, there may be selective pressure to maintain a majority of splicing events in order to retain glial-like characteristics of the tumor cells.

Johnson N, Speirs V, Curtin NJ, Hall AG
A comparative study of genome-wide SNP, CGH microarray and protein expression analysis to explore genotypic and phenotypic mechanisms of acquired antiestrogen resistance in breast cancer.
Breast Cancer Res Treat. 2008; 111(1):55-63 [PubMed] Related Publications
Allelic imbalance is a common feature of many malignancies. We have measured allelic imbalance in genomic DNA from the breast cancer cell lines T47D, MDA-MB-231, two antiestrogen sensitive (MCF7N and MCF7L) and two resistant MCF7 cell lines (MMU2 and LCC9) using single nucleotide polymorphism (SNP) oligonucleotide microarrays. DNA from MCF7(L) and MMU2 cells was also analysed by comparative genome hybridisation (CGH) to compare with SNP microarray data. Proteins previously determined to be involved in disease progression were quantified by Western blot and compared to array data. The SNP and CGH array both detected cytogenetic abnormalities commonly found in breast cancer: amplification of chromosomes 11q13-14.1, 17q and 20q containing cyclin D1, BCAS1 and 3 (Breast Cancer Amplified Sequence) and AIB1 (Amplified in Breast cancer) genes; losses at 6q, 9p and X chromosomes, which included ERalpha (Estrogen Receptor alpha) and p16 ( INK4A ) genes. However the SNP chip array data additionally identified regions of loss of heterozygosity (LOH) followed by duplication of the remaining allele-uniparental disomy (UPD). Good concordance between SNP arrays and CGH analyses was observed, however there was poor correlation between gene copy number and protein levels between the cell lines. There were reductions in ERalpha, cyclin D1 and p27 protein levels whilst p21 protein levels were elevated in antiestrogen resistant MCF7 cell lines. Although protein levels varied there was no difference in gene copy number. This study shows SNP and CGH array analysis are powerful tools for analysis of allelic imbalance in breast cancer. However, the antiestrogen resistant phenotype was likely to be due to changes in gene expression and protein degradation rather than in altered gene copy number.

Loukopoulos P, Shibata T, Katoh H, et al.
Genome-wide array-based comparative genomic hybridization analysis of pancreatic adenocarcinoma: identification of genetic indicators that predict patient outcome.
Cancer Sci. 2007; 98(3):392-400 [PubMed] Related Publications
We analyzed the subchromosomal numerical aberrations of 44 surgically resected pancreatic adenocarcinomas by array-based comparative genomic hybridization. The aberration profile ranged widely between cases, suggesting the presence of multiple or complementary mechanisms of evolution in pancreatic cancer, and was associated with lymph node metastasis and venous or serosal invasion. A large number of small loci, previously uncharacterized in pancreatic cancer, showed non-random loss or gain. Frequent losses at 1p36, 4p16, 7q36, 9q34, 11p15, 11q13, 14q32-33, 16p13, 17p11-13, 17q11-25, 18q21-tel, 19p13, 21q22 and 22q11-12, and gains at 1q25, 2p16, 2q21-37, 3q25, 5p14, 5q11-13, 7q21, 7p22, 8p22, 8q21-23, 10q21, 12p13, 13q22, 15q13-22 and 18q11 were identified. Sixteen loci were amplified recurrently. We identified novel chromosomal alterations that were significantly associated with a range of malignant phenotypes. Gain of LUNX, HCK, E2F1 and DNMT3b at 20q11, loss of p73 at 1p36 and gain of PPM1D at 17q23 independently predicted patient outcome. Expression profiling of amplified genes identified Smurf1 and TRRAP at 7q22.1, BCAS1 at 20q13.2-3, and VCL at 10q22.1 as potential novel oncogenes. Our results contribute to a complete description of genomic structural aberrations and the identification of potential therapeutic targets and genetic indicators that predict patient outcome in pancreatic adenocarcinoma.

van Dekken H, Vissers K, Tilanus HW, et al.
Genomic array and expression analysis of frequent high-level amplifications in adenocarcinomas of the gastro-esophageal junction.
Cancer Genet Cytogenet. 2006; 166(2):157-62 [PubMed] Related Publications
Adenocarcinomas of the gastroesophageal junction (GEJ) show frequent high-level amplifications (HLA), but the underlying genes are not well defined. We have characterized genomic gain in 14 GEJ carcinomas by array-based comparative genomic hybridization (aCGH). The most frequent gains and amplifications were detected at 7q (57%), 8q (57%), 17q (64%), and 20q (79%), with minimally amplified regions at 7q21.1, 8q24.2, 17q12, and 20q13.2. Five HLA were detected on 7q, one on 8q, two on 17q, and three on 20q. HLA of 8q24 and 17q12 were related to MYC and ERBB2, respectively. The HLA on 7q21 was associated recurrently with ABCB1, whereas the amplified region on 20q13 implicated ZNF217, BCAS1, and CYP24. RNA expression analysis of 11 adenocarcinomas by reverse-transcription polymerase chain reaction was performed for cancer-related genes residing at 7q21 (ABCB1, ABCB4, CDK6, HGF, DMTF1, SRI, TP53AP1) and 20q13 (ZNF217, BCAS1, CYP24, TNFRSF6B). The most frequently upregulated gene on 7q21 was HGF (45%), but there was no association with genomic amplification. The most frequently overexpressed gene at 20q13 was BCAS1 (27%), which was related to HLA of this region (P = 0.006) in all three cases. We conclude that HLA occur often in GEJ adenocarcinomas. The gene responsible for the HLA of 7q21 requires further investigation, whereas BCAS1 is a good candidate for the frequent amplification of 20q13.

Becker M, Sommer A, Krätzschmar JR, et al.
Distinct gene expression patterns in a tamoxifen-sensitive human mammary carcinoma xenograft and its tamoxifen-resistant subline MaCa 3366/TAM.
Mol Cancer Ther. 2005; 4(1):151-68 [PubMed] Related Publications
The reasons why human mammary tumors become resistant to tamoxifen therapy are mainly unknown. Changes in gene expression may occur as cells acquire resistance to antiestrogens. We therefore undertook a comparative gene expression analysis of tamoxifen-sensitive and tamoxifen-resistant human breast cancer in vivo models using Affymetrix oligonucleotide arrays to analyze differential gene expression. Total RNAs from the tamoxifen-sensitive patient-derived mammary carcinoma xenograft MaCa 3366 and the tamoxifen-resistant model MaCa 3366/TAM were hybridized to Affymetrix HuGeneFL and to Hu95Av2 arrays. Pairwise comparisons and clustering algorithms were applied to identify differentially expressed genes and patterns of gene expression. As revealed by cluster analysis, the tamoxifen-sensitive and the tamoxifen-resistant breast carcinomas differed regarding their gene expression pattern. More than 100 transcripts are changed in abundance in MaCa 3366/TAM as compared with MaCa 3366. Among the genes that are differentially expressed in the tamoxifen-resistant tumors, there are several IFN-inducible and estrogen-responsive genes, and genes known to be involved in breast carcinogenesis. The genes neuronatin (NNAT) and bone marrow stem cell antigen 2 (BST2) were sharply up-regulated in MaCa 3366/TAM. The differential expression of four genes (NNAT, BST2, IGFBP5, and BCAS1) was confirmed by Taqman PCR. Our results provide the starting point for deriving markers for tamoxifen resistance by differential gene expression profiling in a human breast cancer model of acquired tamoxifen resistance. Finally, genes whose expression profiles are distinctly changed between the two xenograft lines will be further evaluated as potential targets for diagnostic or therapeutic approaches of tamoxifen-resistant breast cancer.

Burmester JK, Suarez BK, Lin JH, et al.
Analysis of candidate genes for prostate cancer.
Hum Hered. 2004; 57(4):172-8 [PubMed] Related Publications
Considerable evidence demonstrates that genetic factors are important in the development and aggressiveness of prostate cancer. To identify genetic variants that predispose to prostate cancer we tested candidate SNPs from genomic regions that show linkage to prostate cancer susceptibility and/or aggressiveness, as well as genes that show a significant difference in mRNA expression level between tumor and normal tissue. Cases had histologically verified prostate cancer. Controls were at least 65 years old, never registered a PSA above 2.5 ng/ml, always had digital rectal examinations that were not suspicious for cancer, and have no known family history of prostate cancer. Thirty-nine coding SNPs and nine non-coding SNPs were tested in up to 590 cases and 556 controls resulting in over 40,000 SNP genotypes. Significant differences in allele frequencies between cases and controls were observed for ID3 (inhibitor of DNA binding), p = 0.05, HPN (hepsin), p = 0.009, BCAS1 (breast carcinoma amplified sequence 1), p = 0.007, CAV2 (caveolin 2), p = 0.007, EMP3 (epithelial membrane protein 3), p < 0.0001, and MLH1 (mutL homolog 1), p < 0.0001. SNPs in three of these genes (BCAS1, EMP3 and MLH1) remained significant in an age-matched subsample.

Aust DE, Muders M, Köhler A, et al.
Prognostic relevance of 20q13 gains in sporadic colorectal cancers: a FISH analysis.
Scand J Gastroenterol. 2004; 39(8):766-72 [PubMed] Related Publications
BACKGROUND: Amplification of 20q13 is a frequent chromosomal alteration in solid tumors and harbors a number of putative oncogenes (CAS/CSE1-L, NABC1, or Aurora2). Amplifications on 20q13 have been identified as an independent prognostic marker indicating worse survival in breast and ovarian cancer. However, little is known about the prognostic significance of 20q13 gains in sporadic colorectal cancers. The aim of this study was to correlate 20q13 gains in sporadic colorectal cancers with other known prognostic factors, tumor progression, and overall survival.
METHODS: Nuclei were extracted from 146 paraffin-embedded colorectal cancers of different UICC stages and used for fluorescence in situ hybridization (FISH) with a directly labeled probe for 20q13.2 (VYSIS). Signals were counted in 120 nuclei per sample. 20q13 was considered gained when > or =40% of the nuclei showed 3 or more FISH signals. Statistical correlations were tested with log-rank tests and Kaplan-Meier survival curves.
RESULTS: Signal numbers for 20q13.2 were gained in 78 cases (53%). Cases with gains on 20q13.2 showed worse outcome than cases without: the gain of 20q13.2 was an independent prognostic marker for overall survival (P=0.006) as well as tumor progression (P=0.012) in univariate and multivariate analyses. Gains on 20q13.2 did not correlate with tumor stage. However, there was a significant association between 20q13.2 gains and tumor location in the left-sided colon and an inverse correlation between histologic grade and 20q13.2 gains.
CONCLUSION: These data indicate that gains on 20q13.2 correlate with faster tumor progression and worse patient survival independent from tumor size and lymph node involvement. Therefore, alterations on 20q13 are an important biological event in colorectal tumor progression with independent prognostic relevance.

Beardsley DI, Kowbel D, Lataxes TA, et al.
Characterization of the novel amplified in breast cancer-1 (NABC1) gene product.
Exp Cell Res. 2003; 290(2):402-13 [PubMed] Related Publications
Positional cloning of the cancer-associated 20q13.2 amplicon identified two genes that display high mRNA levels in breast tumors and here we report the initial characterization of one of these gene products, designated Novel Amplified in Breast Cancer-1 (NABC1). Analysis of the primary structure of the NABC1 protein uncovered two regions of this protein with a high likelihood of forming coiled-coils and assembly of a mouse NABC1 cDNA showed that this protein is conserved between mouse and man. NABC1 antisera showed that, like its transcript, breast tumor lines that harbor amplification of 20q13.2 display high levels of the NABC1 protein compared to normal human fibroblasts or a breast cancer line that does not overexpress the NABC1 mRNA. Further, we conclude from studies using in vivo and in vitro approaches that the NABC1 protein forms detergent stable homodimers, and it is this homodimeric form that accumulates in cells that overexpress this protein. NABC1 mRNA exhibits a limited expression pattern in human tissue with high relative transcript levels observed only in brain and prostate. Immunofluorescence microscopy indicates NABC1 displays a punctate localization pattern in the cytoplasm of cultured cells, but biochemical fractionation indicates that this protein is not an integral component of membranous cytoplasmic organelles. Finally, overexpression of human NABC1 in mouse NIH/3T3 cells did not affect either the growth rate or anchorage-dependent growth properties, suggesting that NABC1 is not a prototypical oncogene.

Zhao C, Yasui K, Lee CJ, et al.
Elevated expression levels of NCOA3, TOP1, and TFAP2C in breast tumors as predictors of poor prognosis.
Cancer. 2003; 98(1):18-23 [PubMed] Related Publications
BACKGROUND: Amplification of DNA in certain chromosomal regions plays a crucial role in the development and progression of human malignancies, specifically when protooncogenic target genes within those amplicons are overexpressed. Comparative genomic hybridization studies have revealed frequent amplification at 20q in primary breast tumors. The aim of the current study was to identify specific genes in the 20q amplicon that were likely to have clinical significance.
METHODS: The authors examined 38 primary breast tumors by using a quantitative real-time reverse transcription-polymerase chain reaction assay to determine expression levels of 18 potential targets for amplification events involving 20q. Potential correlations between elevated expression of the genes in question and clinicopathologic parameters or clinical outcomes were analyzed.
RESULTS: Elevated expression of NABC1 was significantly associated with positive estrogen (P < 0.001) and progesterone (P = 0.027) receptors in breast tumors, and high expression of PTK6 was significantly correlated with positive estrogen receptor status (P = 0.022) and postmenopausal status (P = 0.008). Patients whose tumors showed elevated expression of NCOA3 (AIB1) had significantly shorter disease-free (P = 0.017) and overall (P = 0.0021) survival times after surgery than did other patients with breast tumors. Reduced disease-free survival, but not reduced overall survival, was associated with high expression of TOP1 (P = 0.035) and TFAP2C (P = 0.035).
CONCLUSIONS: TOP1, TFAP2C, and (particularly) NCOA3 may be prognostic indicators for patients with breast tumors.

Correa RG, de Carvalho AF, Pinheiro NA, et al.
NABC1 (BCAS1): alternative splicing and downregulation in colorectal tumors.
Genomics. 2000; 65(3):299-302 [PubMed] Related Publications
We have identified a new splicing variant of the gene "novel amplified in breast cancer 1," NABC1 (HGMW-approved symbol BCAS1). This variant, which we call NABC1_5B, uses a previously unidentified 135-bp exon. Also in this report, we confirm that NABC1 is overexpressed in breast tumors and show that both NABC1 and NABC1_5B are downregulated in colorectal tumors.

Collins C, Rommens JM, Kowbel D, et al.
Positional cloning of ZNF217 and NABC1: genes amplified at 20q13.2 and overexpressed in breast carcinoma.
Proc Natl Acad Sci U S A. 1998; 95(15):8703-8 [PubMed] Free Access to Full Article Related Publications
We report here the molecular cloning of an approximately 1-Mb region of recurrent amplification at 20q13.2 in breast cancer and other tumors and the delineation of a 260-kb common region of amplification. Analysis of the 1-Mb region produced evidence for five genes, ZNF217, ZNF218, and NABC1, PIC1L (PIC1-like), CYP24, and a pseudogene CRP (Cyclophillin Related Pseudogene). ZNF217 and NABC1 emerged as strong candidate oncogenes and were characterized in detail. NABC1 is predicted to encode a 585-aa protein of unknown function and is overexpressed in most but not all breast cancer cell lines in which it was amplified. ZNF217 is centrally located in the 260-kb common region of amplification, transcribed in multiple normal tissues, and overexpressed in all cell lines and tumors in which it is amplified and in two in which it is not. ZNF217 is predicted to encode alternately spliced, Kruppel-like transcription factors of 1,062 and 1,108 aa, each having a DNA-binding domain (eight C2H2 zinc fingers) and a proline-rich transcription activation domain.

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