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Pessoa FMCDP, Viana VBDJ, de Oliveira MB, Nogueira BMD, Ribeiro RM, Oliveira DDS, Lopes GS, Vieira RPG, de Moraes Filho MO, de Moraes MEA, Khayat AS, Moreira FC, Moreira-Nunes CA. Validation of Endogenous Control Genes by Real-Time Quantitative Reverse Transcriptase Polymerase Chain Reaction for Acute Leukemia Gene Expression Studies. Genes (Basel) 2024; 15:151. [PMID: 38397141 PMCID: PMC10887733 DOI: 10.3390/genes15020151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/09/2024] [Accepted: 01/22/2024] [Indexed: 02/25/2024] Open
Abstract
Reference genes are used as internal reaction controls for gene expression analysis, and for this reason, they are considered reliable and must meet several important criteria. In view of the absence of studies regarding the best reference gene for the analysis of acute leukemia patients, a panel of genes commonly used as endogenous controls was selected from the literature for stability analysis: Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), Abelson murine leukemia viral oncogene human homolog 1 (ABL), Hypoxanthine phosphoribosyl-transferase 1 (HPRT1), Ribosomal protein lateral stalk subunit P0 (RPLP0), β-actin (ACTB) and TATA box binding protein (TBP). The stability of candidate reference genes was analyzed according to three statistical methods of assessment, namely, NormFinder, GeNorm and R software (version 4.0.3). From this study's analysis, it was possible to identify that the endogenous set composed of ACTB, ABL, TBP and RPLP0 demonstrated good performances and stable expressions between the analyzed groups. In addition to that, the GAPDH and HPRT genes could not be classified as good reference genes, considering that they presented a high standard deviation and great variability between groups, indicating low stability. Given these findings, this study suggests the main endogenous gene set for use as a control/reference for the gene expression in peripheral blood and bone marrow samples from patients with acute leukemias is composed of the ACTB, ABL, TBP and RPLP0 genes. Researchers may choose two to three of these housekeeping genes to perform data normalization.
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Affiliation(s)
- Flávia Melo Cunha de Pinho Pessoa
- Department of Medicine, Pharmacogenetics Laboratory, Drug Research and Development Center (NPDM), Federal University of Ceará, Fortaleza 60430-275, CE, Brazil; (F.M.C.d.P.P.); (B.M.D.N.); (D.d.S.O.); (M.O.d.M.F.)
| | - Vitória Beatriz de Jesus Viana
- Department of Biological Sciences, Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (V.B.d.J.V.); (M.B.d.O.); (F.C.M.)
| | - Marcelo Braga de Oliveira
- Department of Biological Sciences, Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (V.B.d.J.V.); (M.B.d.O.); (F.C.M.)
| | - Beatriz Maria Dias Nogueira
- Department of Medicine, Pharmacogenetics Laboratory, Drug Research and Development Center (NPDM), Federal University of Ceará, Fortaleza 60430-275, CE, Brazil; (F.M.C.d.P.P.); (B.M.D.N.); (D.d.S.O.); (M.O.d.M.F.)
| | | | - Deivide de Sousa Oliveira
- Department of Medicine, Pharmacogenetics Laboratory, Drug Research and Development Center (NPDM), Federal University of Ceará, Fortaleza 60430-275, CE, Brazil; (F.M.C.d.P.P.); (B.M.D.N.); (D.d.S.O.); (M.O.d.M.F.)
- Department of Hematology, Fortaleza General Hospital (HGF), Fortaleza 60150-160, CE, Brazil
| | - Germison Silva Lopes
- Department of Hematology, César Cals General Hospital, Fortaleza 60015-152, CE, Brazil;
| | | | - Manoel Odorico de Moraes Filho
- Department of Medicine, Pharmacogenetics Laboratory, Drug Research and Development Center (NPDM), Federal University of Ceará, Fortaleza 60430-275, CE, Brazil; (F.M.C.d.P.P.); (B.M.D.N.); (D.d.S.O.); (M.O.d.M.F.)
| | - Maria Elisabete Amaral de Moraes
- Department of Medicine, Pharmacogenetics Laboratory, Drug Research and Development Center (NPDM), Federal University of Ceará, Fortaleza 60430-275, CE, Brazil; (F.M.C.d.P.P.); (B.M.D.N.); (D.d.S.O.); (M.O.d.M.F.)
| | - André Salim Khayat
- Department of Biological Sciences, Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (V.B.d.J.V.); (M.B.d.O.); (F.C.M.)
| | - Fabiano Cordeiro Moreira
- Department of Biological Sciences, Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (V.B.d.J.V.); (M.B.d.O.); (F.C.M.)
| | - Caroline Aquino Moreira-Nunes
- Department of Medicine, Pharmacogenetics Laboratory, Drug Research and Development Center (NPDM), Federal University of Ceará, Fortaleza 60430-275, CE, Brazil; (F.M.C.d.P.P.); (B.M.D.N.); (D.d.S.O.); (M.O.d.M.F.)
- Department of Biological Sciences, Oncology Research Center, Federal University of Pará, Belém 66073-005, PA, Brazil; (V.B.d.J.V.); (M.B.d.O.); (F.C.M.)
- Central Unity, Molecular Biology Laboratory, Clementino Fraga Group, Fortaleza 60115-170, CE, Brazil
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Dong HQ, Hu XY, Liang SJ, Wang RS, Cheng P. Selection of reference genes in liproxstatin-1-treated K562 Leukemia cells via RT-qPCR and RNA sequencing. Mol Biol Rep 2024; 51:55. [PMID: 38165476 DOI: 10.1007/s11033-023-08912-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 11/14/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Reverse transcription quantitative polymerase chain reaction (RT-qPCR) can accurately detect relative gene expression levels in biological samples. However, widely used reference genes exhibit unstable expression under certain conditions. METHODS AND RESULTS Here, we compared the expression stability of eight reference genes (RPLP0, RPS18, RPL13, EEF1A1, β-actin, GAPDH, HPRT1, and TUBB) commonly used in liproxstatin-1 (Lip-1)-treated K562 cells using RNA-sequencing and RT-qPCR. The expression of EEF1A1, ACTB, GAPDH, HPRT1, and TUBB was considerably lower in cells treated with 20 μM Lip-1 than in the control, and GAPDH also showed significant downregulation in the 10 μM Lip-1 group. Meanwhile, when we used geNorm, NormFinder, and BestKeeper to compare expression stability, we found that GAPDH and HPRT1 were the most unstable reference genes among all those tested. Stability analysis yielded very similar results when geNorm or BestKeeper was used but not when NormFinder was used. Specifically, geNorm and BestKeeper identified RPL13 and RPLP0 as the most stable genes under 20 μM Lip-1 treatment, whereas RPL13, EEF1A1, and TUBB were the most stable under 10 μM Lip-1 treatment. TUBB and EEF1A1 were the most stable genes in both treatment groups according to the results obtained using NormFinder. An assumed most stable gene was incorporated into each software to validate the accuracy. The results suggest that NormFinder is not an appropriate algorithm for this study. CONCLUSIONS Stable reference genes were recognized using geNorm and BestKeeper but not NormFinder. Overall, RPL13 and RPLP0 were the most stable reference genes under 20 μM Lip-1 treatment, whereas RPL13, EEF1A1, and TUBB were the most stable genes under 10 μM Lip-1 treatment.
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Affiliation(s)
- Hai-Qun Dong
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Xue-Ying Hu
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Shi-Jing Liang
- Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
- Key Laboratory of Hematology, Guangxi Medical University, Education Department of Guangxi Zhuang Autonomous Region, Nanning, 530021, China
| | - Ren-Sheng Wang
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
| | - Peng Cheng
- Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
- Key Laboratory of Hematology, Guangxi Medical University, Education Department of Guangxi Zhuang Autonomous Region, Nanning, 530021, China.
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Tapak L, Hamidi O, Amini P, Afshar S, Salimy S, Dinu I. Identification of Prognostic Biomarkers for Breast Cancer Metastasis
Using Penalized Additive Hazards Regression Model. Cancer Inform 2023; 22:11769351231157942. [PMID: 36968522 PMCID: PMC10034277 DOI: 10.1177/11769351231157942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/30/2023] [Indexed: 03/24/2023] Open
Abstract
Background: Breast cancer (BC) has been reported as one of the most common cancers
diagnosed in females throughout the world. Survival rate of BC patients is
affected by metastasis. So, exploring its underlying mechanisms and
identifying related biomarkers to monitor BC relapse/recurrence using new
statistical methods is essential. This study investigated the
high-dimensional gene-expression profiles of BC patients using penalized
additive hazards regression models. Methods: A publicly available dataset related to the time to metastasis in BC patients
(GSE2034) was used. There was information of 22 283 genes expression
profiles related to 286 BC patients. Penalized additive hazards regression
models with different penalties, including LASSO, SCAD, SICA, MCP and
Elastic net were used to identify metastasis related genes. Results: Five regression models with penalties were applied in the additive hazards
model and jointly found 9 genes including SNU13,
CLINT1, MAPK9, ABCC5,
NKX3-1, NCOR2,
COL2A1, and ZNF219. According the median
of the prognostic index calculated using the regression coefficients of the
penalized additive hazards model, the patients were labeled as high/low risk
groups. A significant difference was detected in the survival curves of the
identified groups. The selected genes were examined using validation data
and were significantly associated with the hazard of metastasis. Conclusion: This study showed that MAPK9, NKX3-1,
NCOR1, ABCC5, and
CD44 are the potential recurrence and metastatic
predictors in breast cancer and can be taken into account as candidates for
further research in tumorigenesis, invasion, metastasis, and
epithelial-mesenchymal transition of breast cancer.
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Affiliation(s)
- Leili Tapak
- Department of Biostatistics, School of
Public Health and Modeling of Noncommunicable Diseases Research Center, Hamadan
University of Medical Sciences, Hamadan, Iran
| | - Omid Hamidi
- Department of Science, Hamedan
University of Technology, Hamedan, Iran
- Omid Hamidi, Department of Science, Hamedan
University of Technology, Pajouhesh Square, Hamedan 6516717432, Iran.
| | - Payam Amini
- Department of Biostatistics, School of
Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Saeid Afshar
- Research Center for Molecular Medicine,
Hamadan University of Medical Sciences, Hamadan, Iran
| | - Siamak Salimy
- Laboratory of System Biology and
Bioinformatics (LBB), Department of Bioinformatics, University of Tehran, Kish,
Iran
| | - Irina Dinu
- School of Public Health, University of
Alberta, Edmonton, AB, Canada
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