scholarly journals Comprehensive Analysis of Cyclin Family Gene Expression in Colon Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Jieling Li ◽  
Liyuan Zhou ◽  
Ying Liu ◽  
Lingzhi Yang ◽  
Dayi Jiang ◽  
...  

Colon cancer is a common malignancy of the digestive tract with high morbidity and mortality. There is an urgent need to identify effective biomarkers for the early diagnosis of colon cancer and to prolong patient survival. Cyclins are a family of proteins that directly participate in the cell cycle and are associated with many types of tumors, but the role and regulatory mechanism of most cyclin family members in colon cancer remain unclear. Here, we provide a systematic and comprehensive study of cyclin family gene expression and their potential roles in colon cancer. Pan-cancer analysis revealed that cyclin genes were most differentially expressed in colon adenocarcinoma. Among the four datasets of colon cancer from The Cancer Genome Atlas and the Gene Expression Omnibus, six cyclin genes (CCNA2, CCNB1, CCND1, CCNE1, CCNF, and CCNJL) were differentially expressed between normal and tumor tissues. Four of them (CCNA2, CCNB1, CCNE1, and CCNF) were notably elevated in the early TNM stages and significantly correlated with overall survival. Meanwhile, the expression of CCNA2 and CCNB1 was positively correlated with tumor-killing immune cells, such as CD8+ T cells.The copy numbers of CCNA2, CCNB1, CCND1, CCNE1, and CCNF was positively related to gene expression. The methylation levels of CCNB1 were lower in tumor tissues than in normal tissues and were negatively correlated with gene expression. The receiver operating characteristic curves indicated that the gene expression of 24 cyclins had higher predictive accuracy than the TNM stage. Pathway analysis showed that cyclin genes were tightly associated with apoptosis, the cell cycle, hormone ER, the RAS/MAPK pathway, mismatch repair, mTORC1 signaling, KRAS signaling, Akt, and TGFB in colon cancer. Weighted gene co-expression network analysis suggested that cyclin genes were closely linked to CDK1, BIRC5, PLK1, and BCL2L12. At the protein level, Cyclin A2 and Cyclin B1 were also expressed higher in colon adenocarcinoma tissues. In addition, cyclin genes were highly related to the drug sensitivity of some FDA-approved drugs, such as MEK and EGFR inhibitors, which might provide guidance for clinical treatment. In conclusion, cyclin genes are promising biomarkers for the diagnosis and prognosis of colon cancer.

Molecules ◽  
2018 ◽  
Vol 23 (10) ◽  
pp. 2569 ◽  
Author(s):  
Lana Rosa ◽  
Nathállia Jordão ◽  
Nathália da Costa Pereira Soares ◽  
Joelma deMesquita ◽  
Mariana Monteiro ◽  
...  

Colon cancer is the second most common cause of cancer deaths in the USA and Europe. Despite aggressive therapies, many tumors are resistant to current treatment protocols and epidemiological data suggest that diet is a major factor in the etiology of colon cancer. This study aimed to evaluate the antioxidant activity and the influence of 3,4-dihydroxyphenylacetic (3,4-DHPAA), p-coumaric (p-CoA), vanillic (VA) and ferulic (FA) acids on cell viability, cell cycle progression, and rate of apoptosis in human colon adenocarcinoma cells (HT-29). The results showed that all compounds tested reduce cell viability in human colon cancer cells. 3,4-DHPAA promoted the highest effect antiproliferative with an increase in the percentage of cells in G0/G1 phase, accompanied by a reduction of cells in G2/M phase. Cell cycle analysis of VA and FA showed a decrease in the proportion of cells in G0/G1 phase (10.0 µM and 100.0 µM). p-CoA and FA acids increased the percentage of apoptotic cells and non-apoptotic cells. 3,4-DHPAA seems to be the substance with the greatest potential for in vivo studies, opening thus a series of perspectives on the use of these compounds in the prevention and treatment of colon cancer.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 549-549 ◽  
Author(s):  
Claudia Schoch ◽  
Alexander Kohlmann ◽  
Wolfgang Kern ◽  
Sylvia Merk ◽  
Wolfgang Hiddemann ◽  
...  

Abstract Deletions of the long arm of chromosome 5 occur either as the sole karyotype abnormality in MDS and AML or as part of a complex aberrant karyotype. It was the aim of this study to analyze the impact of the 5q deletion on the expression levels of genes located on chromosome 5q in AML and MDS. Therefore, gene expression analysis was performed in 344 AML and MDS cases using Affymetrix U133A+B oligonucleotide microarrays. The following subgroups were analyzed: AML with sole 5q deletion (n=7), AML with complex aberrant karyotype (n=83), MDS with sole 5q deletion (n=9), and MDS with complex aberrant karyotype (n=9). These were compared to 200 AML and 36 MDS with normal karyotype. In total, 1313 probe sets representing 603 genes cover sequences located on the long arm of chromosome 5. Overall a significant lower mean expression of all genes located on the long arm of chromosome 5 was observed in subgroups with 5q deletion in comparison to their respective control groups (for all comparisons, p<0.05). 36 genes showed a significantly lower expression in all comparisons. These genes are involved in a variety of different biological processes such as signal transduction (CSNK1A1, DAMS), cell cycle regulation (HDAC3, PFDN1) and regulation of transcription (CNOT8). In addition we performed class prediction using support vector machines (SVM). In one approach all 6 different subgroups were analyzed as one class each. While AML and MDS with normal karyotype as well as AML with complex aberrant karyotype were correctly predicted with high accuracies (97%, 81%, and 92%, respectively) AML and MDS with 5q- sole and MDS with complex aberrant karyotype were frequently misclassified as AML with complex aberrant karyotype. In a second approach only two classes were defined: all cases with 5q deletion combined vs. all cases without 5q deletion. 102 out of 108 cases (94%) with 5q deletion were identified correctly supporting the fact that a distinct gene expression pattern is associated with 5q deletion in general. Performing SVM only with genes located on the long arm of chromosome 5 also resulted in a correct prediction of 92 of 108 (85%) stressing the importance of the expression of genes located on chromosome 5 for these AML and MDS subtypes. The top 100 differentially expressed probe sets between cases with and without 5q deletion represented 74 different annotated genes of which 23 are located on the long arm of chromosome 5. They are involved in a variety of different biological functions such as DNA repair (POLE, RAD21, RAD23B), regulation of transcription (ZNF75A, AF020591, MLLT3, HOXB6), protein biosynthesis (UPF2, TINP1, RPL12, RPL14, RPL15) cell cycle control (GMNN, CSPG6, PFDN1) and signal transduction (HINT1, STK24, APP, CAMLG). 10 of the top 74 genes associated with 5q deletion were involved in the CMYC-pathway with upregulation of RAD21, RAD23B, GMMN, CSPG6, APP, POLE STK24 and STAG2, and downregulation of ACTA2, and RPL12. Ten other genes out of the 74 top differentially expressed genes were involved in the TP53 pathway with upregulation of H1F0, PTPN11 and TAF2 and downregulation of DF, UBE2D2, EEF1A1, IGBP1, PPP2CA, EIF2S3, and NACA. In conclusion, loss of parts of the long arm of chromosome 5 leads to a lower expression of genes located on the long arm of chromosome 5. A specific pattern of functionally related genes was identified which shows a lower expression in AML and MDS subtypes with 5q deletion.


2009 ◽  
Vol 38 (1) ◽  
pp. 80-88 ◽  
Author(s):  
M. Medvedovic ◽  
R. Gear ◽  
J. M. Freudenberg ◽  
J. Schneider ◽  
R. Bornschein ◽  
...  

Background: This study examines the impact of dietary fatty acids on regulation of gene expression in mammary epithelial cells before and during puberty. Methods: Diets primarily consisted of n-9 monounsaturated fatty acids (olive oil), n-6 polyunsaturated fatty acids (safflower), saturated acids (butter), and the reference AIN-93G diet (soy oil). The dietary regimen mimics the repetitive nature of fatty acid exposure in Western diets. Diet-induced changes in gene expression were examined in laser capture microdissected mammary ductal epithelial cells at day of weaning and end of puberty. PCNA immunohistochemistry analysis compared proliferation rates between diets. Results: Genes differentially expressed between each test diets and the reference diet were significantly enriched by cell cycle genes. Some of these genes were involved in activation of the cell cycle pathway or the G2/M check point pathway. Although there were some differences in the level of differential expression, all diets showed qualitatively the same pattern of differential expression compared to the reference diet. Cluster analysis identified an expanded set of cell cycle as well as immunity and sterol metabolism related clusters of differentially expressed genes. Conclusion: Fatty acid-enriched diets significantly upregulated proliferation above normal physiological levels during puberty. Higher cellular proliferation during puberty caused by enriched fatty acid diets poses a potential increase risk of mammary cancer in later life. The human homologs of 27 of 62 cell cycle rat genes are included in a human breast cancer cluster of 45 cell cycle genes, further emphasizing the importance of our findings in the rat model.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3467-3467
Author(s):  
Douglas RA Silveira ◽  
Prodromos Chatzikyriakou ◽  
Olena Yavorska ◽  
Sarah Mackie ◽  
Roan Hulks ◽  
...  

Abstract Differentiation arrest in acute myeloid leukaemia (AML) results in accumulation of leukaemic progenitors (L-Prog) and bone marrow failure. Mutant isocitrate dehydrogenase enzyme produces d-2-hydroxyglutarate (2HG), which inhibits α-ketoglutarate-dependent dioxygenases, including Jumonji histone demethylases (JKDM) and TET2, but how this causes AML is unclear. Inhibitors of mutant IDH enzyme (mIDHi) restore differentiation in IDH-mutant (mIDH) AML (Amatangelo et al., 2018). Here, we studied transcriptional networks involved using single-cell (SC) gene expression (GEX) and transcription factor (TF) motif accessibility in primary AML treated with the mIDH2 inhibitor enasidenib (ENA) and found that ENA activates cell cycle (CC) and pro-differentiation programmes through increased promoter accessibility of granulocyte-monocyte (GM)-TF targets. We treated patient L-Prog in vitro with ENA or vehicle, and performed SC RNA-seq (Chromium 10x) in 4 responsive (R), and one non-responsive (NR) patient samples in early, mid and late timepoints. GEX signatures were used to annotate cells according to function (undifferentiated [U], early and late GM [EGM and LGM]) and CC states. In R samples, ENA yielded more dividing late-GM at mid-late timepoints than DMSO (18% vs 6.5%), and more terminally differentiated neutrophils at late timepoints (46% vs 16%). Using SCENIC (Aibar et al., 2017) to assign highly differentially-expressed genes to TF motifs, we computed regulatory networks (regulons, 'R'). Expression of the SP1 R was strongly correlated with active proliferation and ENA conditions led to generation of more cells that co-expressed CEBPA R or CEBPE R with SP1 R, emphasising simultaneous engagement of CC and GM programmes. SP1 function is associated with CC and GM differentiation, and silencing of its binding to its targets contributes to AML pathogenesis (Maiques-Diaz et al., 2012). Control and NR samples failed to produce neutrophils, had reduced co-expression of CEBPE/SP1 R and yielded more poorly differentiated cells expressing GATA2 R. At the individual gene level, ENA stimulated downregulation of GATA2, GFI1B, IKZF1/2, and RUNX3 together with upregulation of immediate early genes which respond to cytokine and mitogenic stimuli (EGR1, IER2, AP-1) in early-mid phase. Later there is upregulation of CEBP TFs and effector genes FUT4, ELANE, AZU1 and PRTN3. Interestingly, expression of some GM-TFs (RUNX1, SPI1/PU.1, GFI1) was similar between ENA and DMSO, indicating that gene expression alone was insufficient for GM differentiation. Given the effects of 2-HG on JKDM, we assessed chromatin accessibility and TF binding using SC ATAC-seq. Overall, we had 25% of differentially accessible (DA) peaks, from which 75% were more accessible in ENA than in DMSO. ENA DA peaks were highly enriched in promoters. Using ArchR (Granja et al., 2021), we clustered cells and used ELANE expression levels to compute trajectories in parallel with SC RNA-seq data. ENA peaks were sequentially enriched for CBF/RUNX and GATA families, followed by AP-1 (JUN/FOS) and EGR/CEBP/KLF motifs. Footprinting analysis showed sequential decrease and increase of TF binding for GATA2 and CEBPA/E respectively during ENA-induced differentiation. Although it did not cause higher expression of SPI1/PU.1, ENA induced increased accessibility of its target binding sites at promoters, which included CEBPA/E and GM effectors (MPO, FUT4, PRTN3). This provides a novel mechanism by which ENA induces differentiation of L-prog. Regulatory network analysis around active, differentially expressed TFs at different phases of ENA-induced differentiation showed a switch from a repressive transcriptional landscape driven by stem-progenitor TFs, to one where AP-1 and GM-TFs activate expression of GM-effector genes. We postulate a model where MYC, E2F8 and EGR1 upregulate the CEBP family in early-mid differentiation. In addition to stimulation of promoter accessibility of TFBS, we find that ENA increases accessibility of cis-regulatory elements of CEBP TFs, adding another mechanism by which differentiation of L-Prog occurs. Our data on the mechanism of action of ENA suggest that differentiation arrest in IDHm AML involves suppression of CC and GM differentiation programs in a repressive chromatin landscape, likely via inhibition of KDM6A and demethylation of repressive H3K27me3 marks. Disclosures Silveira: Astellas: Speakers Bureau; Abbvie: Speakers Bureau; Servier/Agios: Research Funding; BMS/Celgene: Research Funding. Hasan: Bristol Myers Squibb: Current Employment. Thakurta: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company, Patents & Royalties. Vyas: Gilead: Honoraria; Astellas: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Takeda: Honoraria; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Janssen: Honoraria; Daiichi Sankyo: Honoraria; Jazz: Honoraria; Pfizer: Honoraria; Novartis: Honoraria. Quek: BMS/Celgene: Research Funding; Servier/Agios: Research Funding.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 286-286
Author(s):  
Zachary C. Murphy ◽  
Maeve Wells ◽  
Kristin Murphy ◽  
Michael Getman ◽  
Laurie A. Steiner

Abstract Erythropoiesis requires dramatic changes in gene expression in a cell that is rapidly proliferating and undergoing progressive nuclear condensation in anticipation of enucleation. Disruption of this process is associated with myelodysplastic syndromes and congenital anemias. Our lab has demonstrated that Setd8, the sole histone methyltransferase that can generate H4K20me1, plays an essential role in this process (Malik 2019). H4K20me1 accumulates during terminal erythroid maturation (Murphy Blood 2021) and can regulate chromatin structure and gene expression through interaction with multiple partners, including the Condensin II Complex. The Condensin II complex is a ring-like structure composed of two conserved SMC components (SMC2 and SMC4), two HEAT subunits (NCAPG2 and NCAPD3), and a kleisin subunit NCAPH2. The Condensin II complex plays an important role in chromatin condensation during mitosis, and establishing higher-order chromatin interactions in interphase cells, with some studies suggesting it also regulates gene expression (Yuen Science Adv 2017; Iwasaki Nature Comm 2019). Similar to Setd8, many subunits of the Condensin II complex are highly expressed in erythroid cells compared to most other cell types (biogps.org). We hypothesized that the Condensin II complex, in conjunction with Setd8 and H4K20me1, is important for establishing appropriate patterns of chromatin architecture and gene expression in maturing erythroblasts. To address this hypothesis, we deleted the NCAPH2 subunit in erythroid cells by crossing mice with floxed alleles of NCAPH2 with mice expressing cre-recombinase under the direction of the Erythropoietin receptor promotor (EpoRCre). Homozygous disruption of NCAPH2 was embryonic lethal by E13.5. NCAPH2 mutant embryos were similar in appearance to littermate controls until E12.5 when they developed notable pallor and a dramatic decline in the number of benzidine positive cells. Cell cycle analyses demonstrated that an accumulation of cells in G2/M preceded the dramatic decline in erythroblast numbers at E12.5. In contrast to cells from littermate controls, the NCAPH2 mutant cells were very heterogenous in cell and nuclear size and morphology. Surpisingly, most NCAPH2 mutant cells appeared to be hemoglobinized, suggesting sufficient iron accumulation and heme synthesis. In vitro cultures derived from primitive erythroid progenitors replicated in vivo findings, including normal early erythropoeisis, with significant abnormalities during mid- to late- maturation. Western blot in cycloheximide treated primitive erythroid cultures revealed that NCAPH2 has a long half-life, which likely contributes to the relative normalicy of early primitive erythoproesis. NCAPH2 mutant embryos also had a dramatic failure of definitive erythropoiesis, as evidenced by loss of mature erythroblasts in the fetal liver at E13.5. To gain insights into the mechanisms underlying these findings, we performed RNA-seq of NCAPH2 mutant, NCAPH2 het, and NCAPH2 WT erythroblasts from E11.5 embryos. Comparing NCAPH2 mutant and NCAPH2 WT erythroblasts there were 1121 down regulated genes and 743 upregulated genes (adj p-value <0.05). As expected, the downregulated genes were enriched for pathways related to cell cycle, such as Mitotic Spindle Organization (adj pvalue 5e-42). The upregulated genes were enriched for a variety of pathways including p53 transcriptional network (adj pvalue 4e-10), neutrophil mediated immunity (2e-9), DNA-binding transcription factor (adj pvalue 7e-5), and regulation of erythrocyte differentiation (adj pvalue 5e-4). Intriguingly, 91/340 genes differentially expressed in Setd8 mutant erythroblats were also differentially expressed in NCAPH2 mutant cells, including genes typically repressed early in erythroid commitment, such as GATA2 and SPI1. Cut&Tag in CD34+ derived erythroblasts demonstrated occupancy of H4K20me1 at these loci. Mass spectrometry of proteins isolated via mono-mehtylated H4K20 peptides in erythroid extracts identified Condensin II components, supporting a model where the Condensin II complex directly interacts with H4K20me1. Together, these results demonstrate that the Condensin II complex is essential for erythropoiesis, and may work in conjunction with Setd8 and H4K20me1 to establish appropriate patterns of gene expression in maturing erythroblasts. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Author(s):  
Shahan Mamoor

Gynecologic cancers including cancers of the endometrium are a clinical problem (1, 2, 3, 4). We mined published microarray data (5, 6) to discover genes associated with endometrial cancers by comparing transcriptomes of the normal endometrium and endometrial tumors from humans. We identified the cell cycle component cyclin B1, encoded by CCNB1, as among the most differentially expressed genes, transcriptome-wide, in cancers of the endometrium. CCNB1 was expressed at significantly higher levels in endometrial tumor tissues as compared to the endometrium. Importantly, high primary tumor expression of CCNB1 was correlated with worse overall survival in patients with endometrial cancer. Together, the data reveal over-expression of CCNB1 in human endometrial cancer and describe specific activation of the cell cycle in cancers of the endometrium.


2019 ◽  
Author(s):  
Yazhi Sun ◽  
Varvara Mironova ◽  
Ying Chen ◽  
Elliott P.F. Lundh ◽  
Qian Zhang ◽  
...  

AbstractColon cancer is the third most commonly diagnosed cancer in the United States. Recent reports have shown that the location of the primary tumor is of clinical importance. Patients with right-sided cancers (RCCs) (tumors arising between the cecum and proximal transverse colon) have poorer clinical outcomes than those with left-sided colon cancers (LCCs) (tumors arising between the distal transverse colon and sigmoid colon, excluding the rectum). Interestingly, women have a lower incidence of colon cancer than men do. However, women have a higher propensity for RCC than men. Identification of gene expression differences between RCC and LCC is considered a potential means of prognostication. Furthermore, studying colon cancer sidedness could reveal important predictive markers for response to various treatments. This study provides a comprehensive bioinformatic analysis of various genes and molecular pathways that correlated with sex and anatomical location of colon cancer using four publicly available annotated datasets housed in the National Center for Biotechnology Information’s Gene Expression Omnibus (GEO). We identified differentially expressed genes in tumor tissues from women with RCC, which showed attenuated energy and nutrient metabolism when compared to women with LCC. Specifically, we showed that the downregulation of 5’ AMP-activated protein kinase alpha subunit (AMPKα) and downregulated anti-tumor immune response in women with RCC. This difference was not seen when comparing tumor tissues from men with RCC to men with LCC. Therefore, women with RCC may have a specific metabolic and immune phenotype which accounts for differences in prognosis and treatment response.


2021 ◽  
Author(s):  
Zhongze Cui ◽  
Shuang He ◽  
Feifei Wen ◽  
Xiaoyang Xu ◽  
Yangyang Li ◽  
...  

Abstract Background: Colon adenocarcinoma (COAD) is one of the most common malignancies worldwide. Although a large number of studies have elucidated the aetiology of colorectal cancer, the exact mechanism of colorectal cancer development remains to be determined.To identify key modules and prognostic genes that may be involved in the occurrence and development of COAD, weighted gene coexpression network analysis (WGCNA) and differential expression analysis were performed on datasets GSE41657 and GSE74602 from the Gene Expression Omnibus (GEO) database to screen for prognostic differentially expressed genes. Gene expression profiles and clinical information were collected from The Cancer Genome Atlas (TCGA) database for verification.Results: Through WGCNA and DEGs analysis, 439 genes in key functional modules were obtained, and 26 prognostic related genes were finally obtained through prognostic analysis: (1) We screened 5 genes(RPP40, DUSP18, PPRC1, MFSD11 and PDCD11) that have not been studied in COAD.(2)We obtained the most critical module in the occurrence and development of colon cancer and obtained one prognosis-related gene, NUP85, from the most critical module.The relationship between it and tumor immune microenvironment was verified.(3) A prognostic model comprising four coexpressed differential genes was constructed; TIMP1, PMM2, E2F3 and MORC2 were selected as the key prognosis-related genes.Conclusions: (1)As new biomarkers,prognostic genes RPP40, DUSP18, PPRC1, MFSD11 and PDCD11 may be potential therapeutic targets for COAD, and provide new ideas for future research on the mechanism of COAD. (2)NUP85 may be an immune-related gene which was negatively correlated with CD4+ T cell and M2 macrophagesthat plays an important role in inhibiting the occurrence and development of colorectal adenocarcinoma. (3)A Cox proportional risk model based on gene expression can be used to predict the prognosis and survival time of patients with colon cancer.


2020 ◽  
Author(s):  
Shahan Mamoor

The human coronavirus SARS-CoV-2 (1) has resulted in the death of over 200,000 Americans in less than one year (2). Infection of a person already suffering from a viral infection, a phenomena known as co-infection can potentially pose a problem during the upcoming influenza season. We mined published microarray data (3) to identify genes most differentially expressed in the whole blood of patients suffering from human coronavirus co-infections. We found that the gene encoding the HLA complex non-coding RNA HCG4 was among those whose expression changed most significantly transcriptome-wide when comparing the blood of patients suffering from three different types of co-infections: human coronavirus NL63 and rhinovirus, human coronavirus HKU1 and rhinovirus, as well as in human coronavirus OC43 and influenza A co-infection. We previously reported significant transcriptome-wide changes in HLA family gene expression (4), as well as in changes in gene expression of the cathepsins in viral co-infection (5). Together, these data suggest the process of antigen presentation could be altered during viral co-infections involving the human coronaviruses.


2018 ◽  
Vol 14 (1) ◽  
pp. 78-89 ◽  
Author(s):  
Md. Saimul Islam ◽  
Md. Aminul Hoque ◽  
Md. Sahidul Islam ◽  
Mohammad Ali ◽  
Md. Bipul Hossen ◽  
...  

Background: Gene expression profiling and transcriptomics provide valuable information about the role of genes that are differentially expressed between two or more samples. It is always important and challenging to analyse High-throughput DNA microarray data with a number of missing values under various experimental conditions. </P><P> Objectives: Graphical data visualizations of the expression of all genes in a particular cell provide holistic views of gene expression patterns, which improve our understanding of cellular systems under normal and pathological conditions. However, current visualization methods are sensitive to missing values, which are frequently observed in microarray-based gene expression profiling, potentially affecting the subsequent statistical analyses. Methods: We addressed in this study the problem of missing values with respect to different imputation methods using gene expression biplot (GE biplot), one of the most popular gene visualization techniques. The effects of missing values for mining differentially expressed genes in gene expression data were evaluated using four well-known imputation methods: Robust Singular Value Decomposition (Robust SVD), Column Average (CA), Column Median (CM), and K-nearest Neighbors (KNN). Frobenius norm and absolute distances were used to measure the accuracy of the methods. Results: Three numerical experiments were performed using simulated data (i) and publicly available colon cancer (ii) and leukemia data (iii) to analyze the performance of each method. The results showed that CM and KNN performed better than Robust SVD and CA for identifying the index gene profile in the biplot visualization in both the simulation study and the colon cancer and leukemia microarray datasets. Conclusion: The impact of missing values on the GE biplot was smaller when the data matrix was imputed by KNN than by CM. This study concluded that KNN performed satisfactorily in generating a GE biplot in the presence of missing values in microarray data.


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