PPIA

Gene Summary

Gene:PPIA; peptidylprolyl isomerase A (cyclophilin A)
Aliases: CYPA, CYPH, HEL-S-69p
Location:7p13
Summary:This gene encodes a member of the peptidyl-prolyl cis-trans isomerase (PPIase) family. PPIases catalyze the cis-trans isomerization of proline imidic peptide bonds in oligopeptides and accelerate the folding of proteins. The encoded protein is a cyclosporin binding-protein and may play a role in cyclosporin A-mediated immunosuppression. The protein can also interact with several HIV proteins, including p55 gag, Vpr, and capsid protein, and has been shown to be necessary for the formation of infectious HIV virions. Multiple pseudogenes that map to different chromosomes have been reported. [provided by RefSeq, Jul 2008]
Databases:OMIM, VEGA, HGNC, Ensembl, GeneCard, Gene
Protein:peptidyl-prolyl cis-trans isomerase A
HPRD
Source:NCBIAccessed: 27 February, 2015

Ontology:

What does this gene/protein do?
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Pathways:What pathways are this gene/protein implicaed in?
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Cancer Overview

Research Indicators

Publications Per Year (1990-2015)
Graph generated 28 February 2015 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.

Tag cloud generated 27 February, 2015 using data from PubMed, MeSH and CancerIndex

Specific Cancers (6)

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: PPIA (cancer-related)

Dupasquier S, Delmarcelle AS, Marbaix E, et al.
Validation of housekeeping gene and impact on normalized gene expression in clear cell renal cell carcinoma: critical reassessment of YBX3/ZONAB/CSDA expression.
BMC Mol Biol. 2014; 15:9 [PubMed] Free Access to Full Article Related Publications
BACKGROUND: YBX3/ZONAB/CSDA is an epithelial-specific transcription factor acting in the density-based switch between proliferation and differentiation. Our laboratory reported overexpression of YBX3 in clear cell renal cell arcinoma (ccRCC), as part of a wide study of YBX3 regulation in vitro and in vivo. The preliminary data was limited to 5 cases, of which only 3 could be compared to paired normal tissue, and beta-Actin was used as sole reference to normalize gene expression. We thus decided to re-evaluate YBX3 expression by real-time-PCR in a larger panel of ccRCC samples, and their paired healthy tissue, with special attention on experimental biases such as inter-individual variations, primer specificity, and reference gene for normalization.
RESULTS: Gene expression was measured by RT-qPCR in 16 ccRCC samples, each compared to corresponding healthy tissue to minimize inter-individual variations. Eight potential housekeeping genes were evaluated for expression level and stability among the 16-paired samples. Among tested housekeeping genes, PPIA and RPS13, especially in combination, proved best suitable to normalize gene expression in ccRCC tissues as compared to classical reference genes such as beta-Actin, GAPDH, 18S or B2M. Using this pair as reference, YBX3 expression level among a collection of 16 ccRCC tumors was not significantly increased as compared to normal adjacent tissues. However, stratification according to Fuhrman grade disclosed higher YBX3 expression levels in low-grade tumors and lower in high-grade tumors. Immunoperoxidase confirmed homogeneous nuclear staining for YBX3 in low-grade but revealed nuclear heterogeneity in high-grade tumors.
CONCLUSIONS: This paper underlines that special attention to reference gene products in the design of real-time PCR analysis of tumoral tissue is crucial to avoid misleading conclusions. Furthermore, we found that global YBX3/ZONAB/CSDA mRNA expression level may be considered within a "signature" of RCC grading.

Krzystek-Korpacka M, Diakowska D, Bania J, Gamian A
Expression stability of common housekeeping genes is differently affected by bowel inflammation and cancer: implications for finding suitable normalizers for inflammatory bowel disease studies.
Inflamm Bowel Dis. 2014; 20(7):1147-56 [PubMed] Related Publications
Instability of housekeeping genes (HKG), supposedly unregulated and hence used as normalizers, may dramatically change conclusions of quantitative PCR experiments. The effect of bowel inflammation on HKG remains unknown. Expression stability of 15 HKG (ACTB, B2M, GAPDH, GUSB, HPRT1, IPO8, MRPL19, PGK1, PPIA, RPLP0, RPS23, SDHA, TBP, UBC, and YWHAZ) in 166 bowel specimens (91 normal, 35 cancerous, and 40 inflamed) was ranked by coefficients of variation (CV%) or using dedicated software: geNorm and NormFinder. The RPS23, PPIA, and RPLP0 were top-ranked, whereas IPO8, UBC and TBP were the lowest-ranked HKG across inflamed/cancerous/normal colonic tissues. The pairs RPS23/RPLP0, PGK1/MRPL19, or PPIA/RPLP0 were optimal reference by CV%, NormFinder, and geNorm, respectively. Colon inflammation affected HKG more pronouncedly than cancer with ACTB significantly down- and B2M upregulated. In inflammatory bowel disease (IBD), different genes were top-ranked in a large and small bowel, whereas TBP, UBC, and IPO8 were lowest-ranked in both. For patients with IBD at large, RPS23/PPIA, PGK1/MRPL19, and PPIA/RPLP0 were found optimal by CV%, NormFinder, and geNorm, respectively. ACTB and B2M expression was related to CRC stage and positively correlated with clinical activity of IBD. Although GAPDH was upregulated neither in CRC nor IBD, it tended to positively correlate with tumor depth and Crohn's disease activity index. Normalizing against GAPDH affected experimental conclusions in a small but not large bowel. Bowel inflammation significantly affects several classic HKG. The pair PPIA/RPLP0 is a common optimal reference for studies encompassing tissues sampled from colorectal cancer and IBD patients. Using ACTB or B2M is not recommended.

Zhang H, Chen J, Liu F, et al.
CypA, a gene downstream of HIF-1α, promotes the development of PDAC.
PLoS One. 2014; 9(3):e92824 [PubMed] Free Access to Full Article Related Publications
Hypoxia-inducible factor-1α (HIF-1α) is a highly important transcription factor involved in cell metabolism. HIF-1α promotes glycolysis and inhibits of mitochondrial respiration in pancreatic ductal adenocarcinoma (PDAC). In response to tumor hypoxia, cyclophilin A (CypA) is over-expressed in various cancer types, and is associated with cell apoptosis, tumor invasion, metastasis, and chemoresistance in PDAC. In this study, we showed that both HIF-1α and CypA expression were significantly associated with lymph node metastasis and tumor stage. The expression of CypA was correlated with HIF-1α. Moreover, the mRNA and protein expression of CypA markedly decreased or increased following the suppression or over-expression of HIF-1α in vitro. Chromatin immunoprecipitation analysis showed that HIF-1α could directly bind to the hypoxia response element (HRE) in the CypA promoter regions and regulated CypA expression. Consistent with other studies, HIF-1α and CypA promoted PDAC cell proliferation and invasion, and suppressed apoptosis in vitro. Furthermore, we proved the combination effect of 2-methoxyestradiol and cyclosporin A both in vitro and in vivo. These results suggested that,CypA, a gene downstream of HIF-1α, could promote the development of PDAC. Thus, CypA might serve as a potential therapeutic target for PDAC.

Zhan C, Zhang Y, Ma J, et al.
Identification of reference genes for qRT-PCR in human lung squamous-cell carcinoma by RNA-Seq.
Acta Biochim Biophys Sin (Shanghai). 2014; 46(4):330-7 [PubMed] Related Publications
Although the accuracy of quantitative real-time polymerase chain reaction (qRT-PCR) is highly dependent on the reliable reference genes, many commonly used reference genes are not stably expressed and as such are not suitable for quantification and normalization of qRT-PCR data. The aim of this study was to identify novel reliable reference genes in lung squamous-cell carcinoma. We used RNA sequencing (RNA-Seq) to survey the whole genome expression in 5 lung normal samples and 44 lung squamous-cell carcinoma samples. We evaluated the expression profiles of 15 commonly used reference genes and identified five additional candidate reference genes. To validate the RNA-Seq dataset, we used qRT-PCR to verify the expression levels of these 20 genes in a separate set of 100 pairs of normal lung tissue and lung squamous-cell carcinoma samples, and then analyzed these results using geNorm and NormFinder. With respect to 14 of the 15 common reference genes (B2M, GAPDH, GUSB, HMBS, HPRT1, IPO8, PGK1, POLR2A, PPIA, RPLP0, TBP, TFRC, UBC, and YWHAZ), the expression levels were either too low to be easily detected, or exhibited a high degree of variability either between lung normal and squamous-cell carcinoma samples, or even among samples of the same tissue type. In contrast, 1 of the 15 common reference genes (ACTB) and the 5 additional candidate reference genes (EEF1A1, FAU, RPS9, RPS11, and RPS14) were stably and constitutively expressed at high levels in all the samples tested. ACTB, EEF1A1, FAU, RPS9, RPS11, and RPS14 are ideal reference genes for qRT-PCR analysis of lung squamous-cell carcinoma, while 14 commonly used qRT-PCR reference genes are less appropriate in this context.

Huang CF, Zhang L, Ma SR, et al.
Clinical significance of Keap1 and Nrf2 in oral squamous cell carcinoma.
PLoS One. 2013; 8(12):e83479 [PubMed] Free Access to Full Article Related Publications
Oxidative stress has been reported to play an important role in progression and prognostication in various kinds of cancers. However, the role and clinical significance of oxidative stress markers Keap1 and Nrf2 in oral squamous cell carcinoma (OSCC) has not been elucidated. This study aimed to investigate the correlation of oxidative stress markers Keap1 and Nrf2 expression and pathological features in OSCC by using tissue microarray. Tissue microarrays containing 17 normal oral mucosa, 7 oral epithelial dysplasia and 43 OSCC specimens were studied by immunohistochemistry. The association among these proteins and pathological features were analyzed. Expression of oxidative stress markers Keap1, Nrf2, and antioxidants PPIA, Prdx6, as well as CD147 was found to increase consecutively from normal oral mucosa to OSCC, and the Keap1, Nrf2, PPIA, Prdx6, CD147 expression in OSCC were significantly higher when compared to normal oral mucosa. Expression of Keap1, Nrf2 in tumors was not found to be significantly associated with T category, lymph node metastases, and pathological grade. Furthermore, we checked the relationship among these oxidative stress markers and found that Keap1 was significantly correlated with Nrf2, Prdx6 and CD147. Significant relationship between Nrf2 and Prdx6 was also detected. Finally, we found patients with overexpression of Keap1 and Nrf2 had not significantly worse overall survival by Kaplan-Meier analysis. These findings suggest that ROS markers are associated with carcinogenesis and progression of OSCC, which may have prognostic value and could be regarded as potential therapeutic targets in OSCC.

Li Y, Guo H, Dong D, et al.
Expression and prognostic relevance of cyclophilin A and matrix metalloproteinase 9 in esophageal squamous cell carcinoma.
Diagn Pathol. 2013; 8:207 [PubMed] Free Access to Full Article Related Publications
AIMS: To guide clinicians in selecting treatment options for esophageal squamous cell carcinoma (ESCC) patients, reliable markers predictive of clinical outcome are desirable. This study analyzed the correlation of cyclophilin A (CypA) and matrix metalloproteinase 9 (MMP9) in ESCC and their relationships to clinicopathological features and survival.
METHODS: We immunohistochemically investigated 70 specimens of ESCC tissues using CypA and MMP9 antibodies. Then, the correlations between CypA and MMP9 expression and clinicopathological features and its prognostic relevance were determined.
RESULTS: Significant correlations were only found in high level of CypA and MMP9 expression with tumor differentiation and lymph node status. Significant positive correlations were found between the expression status of CypA and that of MMP9. Overexpression of CypA and metastasis were significantly associated with shorter progression free survival times in univariate analysis. Multivariate analysis confirmed that CypA expression was an independent prognostic factor.
CONCLUSIONS: CypA might be correlated with the differentiation, and its elevated expression may be an adverse prognostic indicator for the patients of ESCC. CypA/MMP9 signal pathway may be attributed to the malignant transformation of ESCC, and attention should be paid to a possible target for therapy.
VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1166551968105508.

Li L, Tang W, Wu X, et al.
HAb18G/CD147 promotes pSTAT3-mediated pancreatic cancer development via CD44s.
Clin Cancer Res. 2013; 19(24):6703-15 [PubMed] Free Access to Full Article Related Publications
PURPOSE: Signal transducer and activator of transcription 3 (STAT3) plays a critical role in initiation and progression of pancreatic cancer. However, therapeutically targeting STAT3 has failed clinically. We previously identified HAb18G/CD147 as an effective target for cancer treatment. In this study, we aimed to investigate the potential role of HAb18G/CD147 in STAT3-involved pancreatic tumorigenesis in vitro and in vivo.
EXPERIMENTAL DESIGN: The expression of HAb18G/CD147, pSTAT3, and CD44s was determined in tissue microarrays. The tumorigenic function and molecular signaling mechanism of HAb18G/CD147 were assessed by in vitro cellular and clonogenic growth, reporter assay, immunoblot assay, immunofluorescence staining, immunoprecipitation, and in vivo tumor formation using loss or gain-of-function strategies.
RESULTS: Highly expressed HAb18G/CD147 promoted cellular and clonogenic growth in vitro and tumorigenicity in vivo. Cyclophilin A (CyPA), a ligand of CD147, stimulated STAT3 phosphorylation and its downstream genes cyclin D1/survivin through HAb18G/CD147-dependent mechanisms. HAb18G/CD147 was associated and colocalized with cancer stem cell marker CD44s in lipid rafts. The inhibitors of STAT3 and survivin, as well as CD44s neutralizing antibodies suppressed the HAb18G/CD147-induced cell growth. High HAb18G/CD147 expression in pancreatic cancer was significantly correlated with the poor tumor differentiation, and the high coexpression of HAb18G/CD147-CD44s-STAT3 associated with poor survival of patients with pancreatic cancer.
CONCLUSIONS: We identified HAb18G/CD147 as a novel upstream activator of STAT3, which interacts with CD44s and plays a critical role in the development of pancreatic cancer. The data suggest that HAb18G/CD147 could be a promising therapeutic target for highly aggressive pancreatic cancer and a surrogate marker in the STAT3-targeted molecular therapies.

Duechler M, Peczek L, Zuk K, et al.
The heterogeneous immune microenvironment in breast cancer is affected by hypoxia-related genes.
Immunobiology. 2014; 219(2):158-65 [PubMed] Related Publications
The immune system constitutes an important first-line defence against malignant transformation. However, cancer mediated immunosuppression inactivates the mechanisms of host immune surveillance. Cancer cells shut down anti-cancer immunity through direct cell-cell interactions with leukocytes and through soluble factors, establishing an immunosuppressive environment for unimpeded cancer growth. The composition of the immunosuppressive microenvironment in breast tumours is not well documented. To address this question, selected immunosuppressive factors were analyzed in tumour specimens from 33 breast cancer patients after surgery. The mRNA expression of selected genes was quantified in fresh tumour samples. Tumour infiltrating leukocytes were characterized by flow cytometry to identify regulatory T cells, myeloid derived suppressor cells, and type 2 macrophages. Statistical analysis revealed several interesting correlations between the studied parameters and clinical features. Overall, a surprisingly high degree of heterogeneity in the composition of the immunosuppressive environment was found across all breast cancer samples which adds to the complexity of this disease. The influence of the hypoxia inducible factors (HIFs) on the immune microenvironment was also addressed. The level of HIFs correlated with hormone receptor status and the expression of several immunosuppressive molecules. Targeting HIFs might not only sensitize breast tumours for radiation and chemotherapies but also interfere with cancer immunosuppression.

Li Z, Gou J, Xu J
Down-regulation of focal adhesion signaling in response to cyclophilin A knockdown in human endometrial cancer cells, implicated by cDNA microarray analysis.
Gynecol Oncol. 2013; 131(1):191-7 [PubMed] Related Publications
OBJECTIVE: CypA had been identified as a potential therapeutic target to endometrial cancer in our previous research. Herein, we aimed to further elucidate the underlying comprehensive mechanisms of CypA knockdown-associated anticancer effects by cDNA microarray-based approach.
METHODS: LV-shCypA was constructed and transfected into HEC-1-B cells. The efficiency of CypA knockdown was determined by qRT-PCR and Western blotting. The migratory/invasive capacity was examined by transwell assay. CypA knockdown-induced comprehensive gene expression alterations were analyzed using NimbleGen Human Gene Expression Microarray consisting of 45,033 probes for human genes. Functional analysis of the microarray data was performed using KEGG and Gene Ontology analyses. The selected differentially expressed genes were validated by qRT-PCR.
RESULTS: Knockdown of CypA by LV-shCypA led to a significant decrease of migratory/invasive cell proportions in HEC-1-B cells. Microarray analysis showed 3533 and 2772 genes to be up-regulated and down-regulated in CypA-knockdown cells, respectively. Functional analysis showed 50 up-regulated pathways and 14 down-regulated pathways in CypA-knockdown cells, and focal adhesion signaling was one of the most enriched down-regulated pathways. The expression patterns of 16 genes in focal adhesion signaling, which encoded MAPK kinases, focal adhesion kinase (FAK), integrin subunits and laminin subunits, were validated by qRT-PCR and the consistency percentage with microarray data reached 100%.
CONCLUSIONS: Suppression of migratory/invasive capacity by CypA knockdown is likely associated with the down-regulation of focal adhesion signaling, which may contribute to the understanding of the role of CypA as a potential therapeutic target for endometrial cancer.

Ye Y, Huang A, Huang C, et al.
Comparative mitochondrial proteomic analysis of hepatocellular carcinoma from patients.
Proteomics Clin Appl. 2013; 7(5-6):403-15 [PubMed] Related Publications
PURPOSE: To define mitochondrial protein markers related to liver cancer.
EXPERIMENTAL DESIGN: Mitochondrial subproteomes of 20 patient-derived liver carcinoma and tumor-free control tissues were performed by 2DE coupled with MALDI-TOF/TOF. The altered patterns of three identified proteins were validated by Western blot and immunohistochemistry.
RESULTS: The results showed that compared with tumor-free control samples, nine proteins were downregulated and six proteins were upregulated in carcinoma samples. The increased expression of Arg1 mRNA and protein was validated by Western blot, Q-RT-PCR, paraffin tissue microarray and immunohistochemistry. Furthermore, a literature review shows that Heat shock protein 10 (Hsp10), single-stranded DNA-binding protein (SSBP1), and peptidyl-prolyl cis-trans isomerase A (PPIA), which were identified as being increased in the tumor samples in this study, may be closely related to protein folding and translation.
CONCLUSIONS AND CLINICAL RELEVANCE: These results show that in addition to changes in the signaling pathways, such as the Ras-Raf-MEK-ERK pathway, altered mitochondrial DNA replication and protein folding in liver cancer are also worth studying further. Collectively, these results suggest that specific mitochondrial proteins are uniquely susceptible to alterations in expression and carry implications for the investigation of their potential as therapeutic and prognostic markers. Further studies focusing on these proteins will be used to predict treatment response and reverse the apoptosis resistance.

Qian Z, Zhao X, Jiang M, et al.
Downregulation of cyclophilin A by siRNA diminishes non-small cell lung cancer cell growth and metastasis via the regulation of matrix metallopeptidase 9.
BMC Cancer. 2012; 12:442 [PubMed] Free Access to Full Article Related Publications
BACKGROUND: Cyclophilin A (CypA) is a cytosolic protein possessing peptidyl-prolyl isomerase activity that was recently reported to be overexpressed in several cancers. Here, we explored the biology and molecular mechanism of CypA in non-small cell lung cancer (NSCLC).
METHODS: The expression of CypA in human NSCLC cell lines was detected by real-time reverse transcription PCR. The RNA interference-mediated knockdown of CypA was established in two NSCLC cell lines (95C and A549). 239836 CypA inhibitor was also used to suppress CypA activity. Tumorigenesis was assessed based on cellular proliferation, colony formation assays, and anchorage-independent growth assays; metastasis was assessed based on wound healing and transwell assays.
RESULTS: Suppression of CypA expression inhibited the cell growth and colony formation of A549 and 95C cells. CypA knockdown resulted in the inhibition of cell motility and invasion. Significantly, we show for the first time that CypA increased NSCLC cell invasion by regulating the activity of secreted matrix metallopeptidase 9 (MMP9). Likewise, suppression of CypA with 239836 CypA inhibitor decreased cell proliferation and MMP9 activity.
CONCLUSIONS: The suppression of CypA expression was correlated with decreased NSCLC cell tumorigenesis and metastasis.

Vajda A, Marignol L, Barrett C, et al.
Gene expression analysis in prostate cancer: the importance of the endogenous control.
Prostate. 2013; 73(4):382-90 [PubMed] Related Publications
BACKGROUND: Aberrant gene expression is a hallmark of cancer. Quantitative reverse-transcription PCR (qRT-PCR) is the gold-standard for quantifying gene expression, and commonly employs a house-keeping gene (HKG) as an endogenous control to normalize results; the choice of which is critical for accurate data interpretation. Many factors, including sample type, pathological state, and oxygen levels influence gene expression including putative HKGs. The aim of this study was to determine the suitability of commonly used HKGs for qRT-PCR in prostate cancer.
METHODS: Prostate cancer (LNCaP, 22Rv1, PC3, and DU145) and normal (PWR1E and RWPE1) cell lines were cultured in air and hypoxia. The performance of 16 HKGs was assessed using Normfinder and coefficient of variation. In silico promoter analysis was performed to identify putative hypoxia response elements (HREs). The impact of the endogenous control on expression levels of HIF1A and GSTP1 was investigated by qRT-PCR in cell lines and tissue specimens respectively.
RESULTS: Hypoxia altered expression of several HKGs: IPO8, B2M, and PGK1. The most stably expressed HKGs were ACTB, PPIA, and UBC. Both UBC and ACTB showed constitutive expression of HIF1A in air and hypoxia, while PGK1 falsely implied a sixfold hypoxia-induced down-regulation. In prostate tumors, UBC and PGK1 both revealed down-regulation of GSTP1 relative to matched benign, whereas ACTB showed variability.
CONCLUSIONS: This study demonstrates that no universal endogenous control exists for gene expression studies, even within one disease type. It highlights the importance of validating expression of intended HKGs between different sample types and environmental exposures.

Rienzo M, Schiano C, Casamassimi A, et al.
Identification of valid reference housekeeping genes for gene expression analysis in tumor neovascularization studies.
Clin Transl Oncol. 2013; 15(3):211-8 [PubMed] Related Publications
INTRODUCTION: Real time RT-PCR is a widely used technique to evaluate and confirm gene expression data obtained in different cell systems and experimental conditions. However, there are many conflicting reports about the same gene or sets of gene expression. A common method is to report the interest gene expression relative to an internal control, usually a housekeeping gene (HKG), which should be constant in cells independently of experimental conditions.
MATERIALS AND METHODS: In this study, the expression stability of ten HKGs was considered in parallel in two cell systems (endothelial and osteosarcoma cells): beta actin (ACTB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), TATA box binding protein (TBP), hypoxanthine phosphoribosyl-transferase 1 (HPRT1), Cyclophilin A (PPIA), beta-2-microglobulin (B2M), glucuronidase beta (GUSB), eukaryotic translation elongation factor 1 alpha1 (EEF1A1), transferrin receptor (TFRC), ribosomal protein S18 (RPS18). In order to study the stability of candidate reference genes, data have been also analyzed by several algorithms (geNorm, NormFinder, BestKeeper and delta-Ct method).
RESULTS AND CONCLUSIONS: The overall analysis obtained by the comprehensive ranking showed that RPS18 and PPIA are appropriate internal reference genes for tumor neovascularization studies where it is necessary to analyze both systems at the same time.

Ma Y, Dai H, Kong X, Wang L
Impact of thawing on reference gene expression stability in renal cell carcinoma samples.
Diagn Mol Pathol. 2012; 21(3):157-63 [PubMed] Related Publications
More and more samples are obtained from biobanks for biomedical research; however, some of these samples may undergo thawing before processing. We aim to evaluate the reference gene expression stability in thawed renal cell carcinoma samples. Sixteen matched malignant and nonmalignant renal tissue samples were obtained and each sample was divided into 4 aliquots before being snap frozen and stored at -80°C. By quantitative real-time polymerase chain reaction, a time-course study was conducted on the thawed tissue to evaluate the expression stability of a panel of the 10 most frequently used reference genes in renal cell carcinom samples: ACTB, ALAS1, B2M, GAPDH, HMBS, HPRT, PPIA, RPLP0,TBP, and TUBB. As shown by geNorm M values, PPIA was the most stable gene at the 0-, 15-, and 30-minute time points (M=0.82, 0.85, and 0.76, respectively), whereas GAPDH was ranked last at the 5-, 15-, and 30-minute time points (M=1.38, 1.44, and 1.39, respectively). A positive correlation was found by linear regression between the thawing time and 2 to the power of crossing point values of all candidate reference genes (P<0.05). The mean coefficient of variance of all reference genes increased significantly at time points 5, 15, and 30 minutes compared with 0 minutes (P<0.01). In conclusion, using the geNorm algorithm, PPIA was identified as the most stably expressed gene between malignant and nonmalignant renal tissue samples that were thawed for similar time periods. All the reference genes showed high variations along with the thawing time; it should be recommended to use a combination of several candidate reference genes when comparing samples thawed for different time periods.

Raimondo F, Salemi C, Chinello C, et al.
Proteomic analysis in clear cell renal cell carcinoma: identification of differentially expressed protein by 2-D DIGE.
Mol Biosyst. 2012; 8(4):1040-51 [PubMed] Related Publications
Renal cell carcinoma (RCC), the most common neoplasm affecting the adult kidney, is characterised by heterogeneity of histological subtypes, drug resistance, and absence of molecular markers. Two-dimensional difference gel electrophoresis (2-D DIGE) technology in combination with mass spectrometry (MS) was applied to detect differentially expressed proteins in 20 pairs of RCC tissues and matched adjacent normal kidney cortex (ANK), in order to search for RCC markers. After gel analysis by DeCyder 6.5 and EDA software, differentially expressed protein spots were excised from Deep Purple stained preparative 2DE gel. A total of 100 proteins were identified by MS out of 2500 spots, 23 and 77 of these were, respectively, over- and down-expressed in RCC. The Principal Component Analysis applied to gels and protein spots exactly separated the two sample classes in two groups: RCC and ANK. Moreover, some spots, including ANXA2, PPIA, FABP7 and LEG1, resulted highly differential. The DIGE data were also confirmed by immunoblotting analysis for these proteins. In conclusion, we suggest that applying 2-D DIGE to RCC may provide the basis for a better molecular characterization and for the discovery of candidate biomarkers.

Bjerregaard H, Pedersen S, Kristensen SR, Marcussen N
Reference genes for gene expression analysis by real-time reverse transcription polymerase chain reaction of renal cell carcinoma.
Diagn Mol Pathol. 2011; 20(4):212-7 [PubMed] Related Publications
BACKGROUND: Differentiation between malignant renal cell carcinoma and benign oncocytoma is of great importance to choose the optimal treatment. Accurate preoperative diagnosis of renal tumor is therefore crucial; however, existing imaging techniques and histologic examinations are incapable of providing an optimal differentiation profile. Analysis of gene expression of molecular markers is a new possibility but relies on appropriate standardization to compare different samples. The aim of this study was to identify stably expressed reference genes suitable for the normalization of results extracted from gene expression analysis of renal tumors.
METHODS: Expression levels of 8 potential reference genes (ATP5J, HMBS, HPRT1, PPIA, TBP, 18S, GAPDH, and POLR2A) were examined by real-time reverse transcription polymerase chain reaction in tumor and normal tissue from removed kidneys from 13 patients with renal cell carcinoma and 5 patients with oncocytoma.
RESULTS: The expression levels of genes were compared by gene stability value M, average gene stability M, pairwise variation V, and coefficient of variation CV. More candidates were not suitable for the purpose, but a combination of HMBS, PPIA, ATP5J, and TBP was found to be the best combination with an average gene stability value M of 0.9 and a CV of 0.4 in the 18 tumors and normal tissues.
CONCLUSIONS: A combination of 4 genes, HMBS, PPIA, ATP5J, and TBP, is a possible reference in renal tumor gene expression analysis by reverse transcription polymerase chain reaction. A combination of four genes, HMBS, PPIA, ATP5J and TBP, being stably expressed in tissues from RCC is possible reference genes for gene expression analysis.

Obchoei S, Weakley SM, Wongkham S, et al.
Cyclophilin A enhances cell proliferation and tumor growth of liver fluke-associated cholangiocarcinoma.
Mol Cancer. 2011; 10:102 [PubMed] Free Access to Full Article Related Publications
BACKGROUND: Cyclophilin A (CypA) expression is associated with malignant phenotypes in many cancers. However, the role and mechanisms of CypA in liver fluke-associated cholangiocarcinoma (CCA) are not presently known. In this study, we investigated the expression of CypA in CCA tumor tissues and CCA cell lines as well as regulation mechanisms of CypA in tumor growth using CCA cell lines.
METHODS: CypA expression was determined by real time RT-PCR, Western blot or immunohistochemistry. CypA silence or overexpression in CCA cells was achieved using gene delivery techniques. Cell proliferation was assessed using MTS assay or Ki-67 staining. The effect of silencing CypA on CCA tumor growth was determined in nude mice. The effect of CypA knockdown on ERK1/2 activation was assessed by Western blot.
RESULTS: CypA was upregulated in 68% of CCA tumor tissues. Silencing CypA significantly suppressed cell proliferation in several CCA cell lines. Likewise, inhibition of CypA peptidyl-prolyl cis-trans isomerase (PPIase) activity using cyclosporin A (CsA) decreased cell proliferation. In contrast, overexpression of CypA resulted in 30% to 35% increases in proliferation of CCA cell lines. Interestingly, neither silence nor overexpression of CypA affected cell proliferation of a non-tumor human cholangiocyte cell line, MMNK1. Suppression of CypA expression attenuated ERK1/2 activity in CCA M139 cells by using both transient and stable knockdown methods. In the in vivo study, there was a 43% reduction in weight of tumors derived from CypA-silenced CCA cell lines compared with control vector CCA tumors in mice; these tumors with stable CypA silencing showed a reduced cell proliferation.
CONCLUSIONS: CypA is upregulated in majority of CCA patients' tissues and confers a significant growth advantage in CCA cells. Suppression of CypA expression decreases proliferation of CCA cell lines in vitro and reduces tumor growth in the nude mouse model. Inhibition of CypA activity also reduces CCA cell proliferation. The ERK1/2 pathway may be involved in the CypA-mediated CCA cell proliferation. Thus, CypA may represent an important new therapeutic target for liver fluke-associated CCA.

Zhang M, Dai C, Zhu H, et al.
Cyclophilin A promotes human hepatocellular carcinoma cell metastasis via regulation of MMP3 and MMP9.
Mol Cell Biochem. 2011; 357(1-2):387-95 [PubMed] Related Publications
Cyclophilin A (CypA) is a member of peptidyl prolyl isomerases (PPIases), which catalyze the cis/trans isomerization of prolyl peptide bonds on the NH-terminal side of Pro residues in peptide chains. Altered expression of CypA has been reported in hepatocellular carcinoma (HCC), but the biological functions of CypA in HCC remain unknown. We found that the level of CypA expression correlated with the metastatic capability of two HCC cell lines, MHCC97-L and MHCC97-H. Stable expression of ectopic CypA in SK-Hep1 cells promotes cell adhesion, motility, chemotaxis, and in vivo lung metastasis, without affecting cell proliferation. We further analyzed microarray results to identify target genes controlled by CypA. Twenty-one genes related to metastasis were altered by CypA over-expression. A member of matrix metalloproteinase, MMP3, was identified by microarray analysis. The regulation of MMP3 and its homologue MMP9 by CypA were further confirmed by quantitative real-time RT-PCR and zymography assay. Taken together, our data suggest that CypA promotes HCC cell metastasis at least partially through up-regulation of MMP3 and MMP9.

Yang J, Li A, Yang Y, Li X
Identification of cyclophilin A as a potential prognostic factor for clear-cell renal cell carcinoma by comparative proteomic analysis.
Cancer Biol Ther. 2011; 11(5):535-46 [PubMed] Related Publications
The high recurrence and improved survival rate of clear-cell renal cell carcinoma (ccRCC) demand for continuous effort to search for novel prognostic factors. Herein a comparative proteomics approach based on two-dimensional polyacrylamide gel electrophoresis (2-DE) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) was used to identify differentially expressed proteins between ccRCC cell line RLC-310 and normal renal cell line HK-2. Of the 31 proteins identified, Cyclophilin A (CypA) was a newly identified differentially expressed protein in ccRCC cell line. The overexpression of CypA in ccRCC tissues was confirmed using RT-PCR and Western blot analyses. Further immunohistochemistry revealed that overexpression of CypA was associated with poor differentiation and decreased survival (p < 0.05, p < 0.0001). These data suggest that CypA may serve as a novel prognostic factor for ccRCC.

Lee J, Kim SS
An overview of cyclophilins in human cancers.
J Int Med Res. 2010 Sep-Oct; 38(5):1561-74 [PubMed] Related Publications
Cyclophilins (Cyps) belong to a group of proteins that have peptidyl-prolyl cis-trans isomerase (PPIase) and molecular chaperone activities. Originally, Cyps were identified as the intracellular receptors for the immunosuppressive drug cyclosporin A. Cyps are found in all prokaryotes and eukaryotes, and have been structurally conserved throughout evolution, implying their importance in cellular function. There are seven major Cyp isoforms in humans. CypA is up-regulated in many human cancers, and there is a strong correlation between over-expression of the CYPA gene and malignant transformation in some cancers. Moreover, CypA is directly under the transcriptional control of two critical transcription factors for cancer development: p53 and hypoxia inducible factor-la. This review discusses the general biological functions of Cyps under a variety of stress conditions, and the importance and diverse roles of overexpression of CYP genes in human cancers, with a particular emphasis on CYPA. These oncogenic properties suggest that CypA is a promising target for cancer therapy.

Fassunke J, Blum MC, Schildhaus HU, et al.
qPCR in gastrointestinal stromal tumors: Evaluation of reference genes and expression analysis of KIT and the alternative receptor tyrosine kinases FLT3, CSF1-R, PDGFRB, MET and AXL.
BMC Mol Biol. 2010; 11:100 [PubMed] Free Access to Full Article Related Publications
BACKGROUND: Gastrointestinal stromal tumors (GIST) represent the most common mesenchymal tumors of the gastrointestinal tract. About 85% carry an activating mutation in the KIT or PDGFRA gene. Approximately 10% of GIST are so-called wild type GIST (wt-GIST) without mutations in the hot spots. In the present study we evaluated appropriate reference genes for the expression analysis of formalin-fixed, paraffin-embedded and fresh frozen samples from gastrointestinal stromal tumors. We evaluated the gene expression of KIT as well as of the alternative receptor tyrosine kinase genes FLT3, CSF1-R, PDGFRB, AXL and MET by qPCR. wt-GIST were compared to samples with mutations in KIT exon 9 and 11 and PDGFRA exon 18 in order to evaluate whether overexpression of these alternative RTK might contribute to the pathogenesis of wt-GIST.
RESULTS: Gene expression variability of the pooled cDNA samples is much lower than the single reverse transcription cDNA synthesis. By combining the lowest variability values of fixed and fresh tissue, the genes POLR2A, PPIA, RPLPO and TFRC were chosen for further analysis of the GIST samples. Overexpression of KIT compared to the corresponding normal tissue was detected in each GIST subgroup except in GIST with PDGFRA exon 18 mutation. Comparing our sample groups, no significant differences in the gene expression levels of FLT3, CSF1R and AXL were determined. An exception was the sample group with KIT exon 9 mutation. A significantly reduced expression of CSF1R, FLT3 and PDGFRB compared to the normal tissue was detected. GIST with mutations in KIT exon 9 and 11 and in PDGFRA exon 18 showed a significant PDGFRB downregulation.
CONCLUSIONS: As the variability of expression levels for the reference genes is very high comparing fresh frozen and formalin-fixed tissue there is a strong need for validation in each tissue type. None of the alternative receptor tyrosine kinases analyzed is associated with the pathogenesis of wild-type or mutated GIST. It remains to be clarified whether an autocrine or paracrine mechanism by overexpression of receptor tyrosine kinase ligands is responsible for the tumorigenesis of wt-GIST.

Sørby LA, Andersen SN, Bukholm IR, Jacobsen MB
Evaluation of suitable reference genes for normalization of real-time reverse transcription PCR analysis in colon cancer.
J Exp Clin Cancer Res. 2010; 29:144 [PubMed] Free Access to Full Article Related Publications
BACKGROUND: Real-time reverse transcription PCR (qRT-PCR) is frequently used for gene expression quantification due to its methodological reproducibility and sensitivity. The gene expression is quantified by normalization to one or more reference genes which are presumed stably expressed throughout a given experiment. The aim of this study was to validate a standardized experimental setup to identifying reference genes for normalization of qRT-PCR in the metastatic and non-metastatic colon cancer.
METHODS: In this study, expression of 16 commonly used reference genes was quantified in tumour tissue and individual-matched normal mucosa in 18 non-metastatic colon cancer patients and 20 colon cancer patients with distant metastases using TaqMan Low Density Array (TLDA). The expression stability was determined and compared by means of geNorm and NormFinder.
RESULTS: Two pairs of genes, HPRT1/PPIA and IPO8/PPIA, were identified to be suitable to normalize gene expression data in metastatic and non-metastatic colon cancer patients, according to geNorm and NormFinder respectively.
CONCLUSION: We propose a standardized approach of finding the most suitable reference gene(s) in every qRT-PCR experiment using TLDA.

Fox BC, Devonshire AS, Schutte ME, et al.
Validation of reference gene stability for APAP hepatotoxicity studies in different in vitro systems and identification of novel potential toxicity biomarkers.
Toxicol In Vitro. 2010; 24(7):1962-70 [PubMed] Related Publications
Liver cell lines and primary hepatocytes are becoming increasingly valuable for in vitro toxicogenomic studies, with RT-qPCR enabling the analysis of gene expression profiles following exposure to potential hepatotoxicants. Supporting the accurate normalisation of RT-qPCR data requires the identification of reference genes which have stable expression during in vitro toxicology studies. Therefore, we performed a comprehensive analysis of reference gene stability in two routinely used cell types, (HepG2 cells and primary rat hepatocytes), and two in vitro culture systems, (2D monolayer and 3D scaffolds). A robust reference gene validation strategy was performed, consisting of geNorm analysis, to test for pair wise variation in gene expression, and statistical analysis using analysis of variance. This strategy identified stable reference genes with respect to acetaminophen treatment and time in HepG2 cells (GAPDH and PPIA), and with respect to acetaminophen treatment and culture condition in primary hepatocytes (18S rRNA and α-tubulin). Following the selection of reference genes, the novel target genes E2F7 and IL-11RA were identified as potential toxicity biomarkers for acetaminophen treatment. We conclude that accurate quantification of gene expression requires the use of a validated normalisation strategy for each species and experimental system employed.

Fu J, Bian L, Zhao L, et al.
Identification of genes for normalization of quantitative real-time PCR data in ovarian tissues.
Acta Biochim Biophys Sin (Shanghai). 2010; 42(8):568-74 [PubMed] Related Publications
Increased attention has been paid to the determination of the potential biomarker and therapeutic target for ovarian cancer in recent years. However, the normalization of quantitative real-time PCR is important to obtain accurate gene expression data. We investigated the stability of 20 reference genes in ovarian tissues under different conditions to determine the most adequate for this application. The study characterized the expression of 20 possible reference genes among 52 ovarian tissue samples involving the normal, non-malignant, and primary ovarian carcinomas. One-way analysis of variance (ANOVA) method was used to compare the candidate gene changes brought about by the disease progression. The stability and suitability of the genes with no statistic difference were further validated employing geNorm and NormFinder softwares. Results showed that the expression levels of the 20 reference genes varied, while the RPL4, RPLP0, HSPCB, TPT1, RPL13A, 18S rRNA, PPIA, TBP, and GUSB kept statistic stability despite different ovarian tissue conditions. RPL4, RPLP0, and HSPCB were demonstrated as the most stable reference genes and the combination of the RPLP0 and RPL4 should be recommended as a much more reliable normalization strategy.

Shen Y, Li Y, Ye F, et al.
Identification of suitable reference genes for measurement of gene expression in human cervical tissues.
Anal Biochem. 2010; 405(2):224-9 [PubMed] Related Publications
For quantitative real-time reverse transcription-polymerase chain reaction (RT-qPCR), the most commonly used normalization strategy is to select a stable reference gene. However, no suitable reference genes have been identified in cervical tissues to date. The aim of this study was to identify the most stable gene or a set of genes as reference genes for RT-qPCR analysis in cervical tissues from a panel of 12 candidates (ALAS1, PPIA, GAPDH, HBB, TBP, ACTIN, B2M, MBNL2, PGKL, RPLP0, RPL-4, and EEF1A1). In total, 20 normal and 20 cervical cancer specimens were examined. Gene expression data were analyzed using two different statistical models (geNorm and NormFinder). EEF1A1 was identified as the most stable and reliable reference gene, followed by GAPDH and RPLP0, whereas EEF1A1 and GAPDH were the best two-gene combination by NormFinder. The expression validity of EEF1A1 was further determined in 21 normal, 22 cervical intraepithelial neoplasia (CIN(2-3)), and 18 cancer tissues; no expression differences were found among normal, CIN(2-3), and cancer tissues (P>0.05). Our results suggested that EEF1A1 can be used as a reference gene for normalization in gene profiling studies in clinic cervical samples, and the combination of EEF1A1 and GAPDH could be recommended as a much more reliable normalization strategy.

Kheirelseid EA, Chang KH, Newell J, et al.
Identification of endogenous control genes for normalisation of real-time quantitative PCR data in colorectal cancer.
BMC Mol Biol. 2010; 11:12 [PubMed] Free Access to Full Article Related Publications
BACKGROUND: Gene expression analysis has many applications in cancer diagnosis, prognosis and therapeutic care. Relative quantification is the most widely adopted approach whereby quantification of gene expression is normalised relative to an endogenously expressed control (EC) gene. Central to the reliable determination of gene expression is the choice of control gene. The purpose of this study was to evaluate a panel of candidate EC genes from which to identify the most stably expressed gene(s) to normalise RQ-PCR data derived from primary colorectal cancer tissue.
RESULTS: The expression of thirteen candidate EC genes: B2M, HPRT, GAPDH, ACTB, PPIA, HCRT, SLC25A23, DTX3, APOC4, RTDR1, KRTAP12-3, CHRNB4 and MRPL19 were analysed in a cohort of 64 colorectal tumours and tumour associated normal specimens. CXCL12, FABP1, MUC2 and PDCD4 genes were chosen as target genes against which a comparison of the effect of each EC gene on gene expression could be determined. Data analysis using descriptive statistics, geNorm, NormFinder and qBasePlus indicated significant difference in variances between candidate EC genes. We determined that two genes were required for optimal normalisation and identified B2M and PPIA as the most stably expressed and reliable EC genes.
CONCLUSION: This study identified that the combination of two EC genes (B2M and PPIA) more accurately normalised RQ-PCR data in colorectal tissue. Although these control genes might not be optimal for use in other cancer studies, the approach described herein could serve as a template for the identification of valid ECs in other cancer types.

Rho JH, Roehrl MH, Wang JY
Tissue proteomics reveals differential and compartment-specific expression of the homologs transgelin and transgelin-2 in lung adenocarcinoma and its stroma.
J Proteome Res. 2009; 8(12):5610-8 [PubMed] Free Access to Full Article Related Publications
Discovery of tissue-specific biomarkers for human cancer is crucial for early diagnosis and molecular understanding of the disease. To overcome the limitations posed by the large dynamic concentration range and compositional complexity of tissue biomacromolecules, we applied heparin affinity fractionation for proteomic enrichment. Comparing the proteomes of five paired samples of normal lung and pulmonary adenocarcinoma tissue by 2-D difference gel electrophoresis, 14 spots were found to be differentially expressed. From these candidate spots, three proteins overexpressed in cancer were identified by mass spectrometry as transgelin (TAGLN, SM22-alpha, WS3-10), transgelin-2 (TAGLN2), and cyclophilin A (PPIA). Quantitative RT-PCR indicated that both TAGLN2 and PPIA were upregulated at the transcriptional level. Differential protein expression levels were validated by Western blot analysis using an independent set of 10 paired lung adenocarcinoma samples. Using immunohistochemistry on human tissue sections, we discovered that overexpression of TAGLN was strictly localized to the tumor-induced reactive myofibroblastic stromal tissue compartment, whereas overexpression of TAGLN2 was exclusively localized to the neoplastic glandular compartment. Thus, the highly homologous protein pair TAGLN and TAGLN2 displayed mutually exclusive, compartment-specific cell type expression regulation in tumor stroma vs neoplastic epithelial cells. Our data further suggest that TAGLN may be a marker of active stromal remodeling in the vicinity of invasive carcinomas. It may shed light on mechanisms of tumor-stroma interaction and could be useful for early diagnosis, treatment guidance, and treatment response monitoring.

Kastl L, Brown I, Schofield AC
Effects of decitabine on the expression of selected endogenous control genes in human breast cancer cells.
Mol Cell Probes. 2010; 24(2):87-92 [PubMed] Related Publications
To quantify gene expression levels, appropriate controls have to be used to adjust for experimental variation. Endogenous control genes are widely used as they are stably expressed independent of cell cycle and experimental conditions, however, they can be altered upon drug treatment. DNA methylation is widely studied in chemotherapy drug resistance and the DNA methylation inhibitor decitabine showed promising results reversing drug resistance in cancer. We aimed to investigate the effect of different decitabine concentrations on the expression of selected endogenous control genes (GAPDH, 18S rRNA, PPIA, RPL13A, OAZ1) in two docetaxel-resistant human breast cancer cell lines (MCF-7 and MDA-MB-231) compared to untreated cells. In MCF-7 cells, 18S rRNA remained stable, however, GAPDH, PPIA and OAZ1 gene expression was increased after treatment. RPL13A was stably expressed at 8 muM decitabine but was increased at lower drug concentrations. In MDA-MB-231 cells, GAPDH levels remained relatively stable following decitabine treatment and so was PPIA expression at low decitabine concentrations. Decitabine increased 18S rRNA, RPL13A and OAZ1 gene expression. In this study, we observed cell line specific effects of decitabine and suggest that 18S rRNA is most suitable to use in MCF-7 cells, while GAPDH is recommended to use in MDA-MB-231 cells during decitabine treatment.

Li YL, Ye F, Hu Y, et al.
Identification of suitable reference genes for gene expression studies of human serous ovarian cancer by real-time polymerase chain reaction.
Anal Biochem. 2009; 394(1):110-6 [PubMed] Related Publications
Quantitative real-time RT-PCR (RT-qPCR) has proven to be a valuable molecular technique in gene expression quantification. Target gene expression levels are usually normalized to a stably expressed reference gene simultaneously determined in the same sample. It is critical to select optimal reference genes to interpret data generated by RT-qPCR. However, no suitable reference genes have been identified in human ovarian cancer to date. In this study, 10 housekeeping genes, ACTB, ALAS1, GAPDH, GUSB, HPRT1, PBGD, PPIA, PUM1, RPL29, and TBP as well as 18S rRNA that were already used in various studies were analyzed to determine their applicability. Totally 20 serous ovarian cancer specimens and 20 normal ovarian epithelial tissue specimens were examined. All candidate reference genes showed significant differences in expression between malignant and nonmalignant groups except GUSB, PPIA, and TBP. The expression stability and suitability of the 11 genes were validated employing geNorm and NormFinder. GUSB, PPIA, and TBP were demonstrated as the most stable reference genes and thus could be used as reference genes for normalization in gene profiling studies of serous ovarian cancer, while the combination of two genes (GUSB and PPIA) or the all three genes should be recommended as a much more reliable normalization strategy.

Gur-Dedeoglu B, Konu O, Bozkurt B, et al.
Identification of endogenous reference genes for qRT-PCR analysis in normal matched breast tumor tissues.
Oncol Res. 2009; 17(8):353-65 [PubMed] Related Publications
Quantitative gene expression measurements from tumor tissue are frequently compared with matched normal and/or adjacent tumor tissue expression for diagnostic marker gene selection as well as assessment of the degree of transcriptional deregulation in cancer. Selection of an appropriate reference gene (RG) or an RG panel, which varies depending on cancer type, molecular subtypes, and the normal tissues used for interindividual calibration, is crucial for the accurate quantification of gene expression. Several RG panels have been suggested in breast cancer for making comparisons among tumor subtypes, cell lines, and benign/malignant tumors. In this study, expression patterns of 15 widely used endogenous RGs (ACTB, TBP, GAPDH, SDHA, HPRT, HMBS, B2M, PPIA, GUSB, YWHAZ2, PGK1, RPLP0, PUM1, MRPL19, and RPL41), and three candidate genes that were selected through analysis of two independent microarray datasets (IL22RA1, TC22, ZNF224) were determined in 23 primary breast tumors and their matched normal tissues using qRT-PCR. Additionally, 18S rRNA, ACTB, and SDHA were tested using randomly primed cDNAs from 13 breast tumor pairs to assess the rRNA/mRNA ratio. The tumors exhibited significantly lower rRNA/mRNA ratio when compared to their normals, on average. The expression of the studied RGs in breast tumors did not exhibit differences in terms of grade, ER, or PR status. The stability of RGs was examined based on two different statistical models, namely GeNorm and NormFinder. Among the 18 tested endogenous reference genes, ACTB and SDHA were identified as the most suitable reference genes for the normalization of qRT-PCR data in the analysis of normal matched tumor breast tissue pairs by both programs. In addition, the expression of the gelsolin (GSN) gene, a well-known downregulated target in breast tumors, was analyzed using the two most suitable genes and different RG combinations to validate their effectiveness as a normalization factor (NF). The GSN expression of the tumors used in this study was significantly lower than that of normals showing the effectivity of using ACTB and SDHA as suitable RGs in this set of tumor-normal tissue panel. The combinational use of the best performing two RGs (ACTB and SDHA) as a normalization factor can be recommended to minimize sample variability and to increase the accuracy and resolution of gene expression normalization in tumor-normal paired breast cancer qRT-PCR studies.

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