Quantitative reverse transcriptase real-time polymerase chain reaction (qRT-PCR) in translational oncology: Lung cancer perspective

Lung Cancer ◽  
2008 ◽  
Vol 59 (2) ◽  
pp. 147-154 ◽  
Author(s):  
Marcin Skrzypski
2020 ◽  
Vol 3 (1) ◽  
pp. 39-45
Author(s):  
Yohana Yohana

Glioblastoma multiforme (GBM) adalah tumor otak ganas yang memiliki populasi sel punca kanker yang dapat  mempertahankan formasi tumor. Peranan sel punca kanker telah banyak dipelajari yang memiliki tanggung jawab terhadap resistensi dan rekurensi terapi GBM seperti radiasi dan kemoterapi. Beberapa petanda kepuncaan dapat dipakai diantaranya CD133, Nestin, A2B5, CD44, SOX2 and OCT4. Pemeriksaan histopatologi terhadap jaringan tumor yang dioperasi menjadi standar baku untuk menentukan derajat, tingkat keganasan, dan prognosis keganasan. Namun di sisi lain, kehadiran populasi sel punca yang memiliki sifat mampu memperbaharui diri dan mampu menginduksi pembentukan tumor memerlukan pemeriksaan yang lebih mendalam mengenai karakteristik biologi sel tumor. Pemeriksaan  sel punca dilakukan menggunakan flowcytometry dan imunohistokimia. Pemeriksaan petanda kepuncaan glioblastoma dilakukan dengan quantitative Reverse Transcriptase Real Time Polymerase Chain Reaction (qRT-PCR), Enzyme Linked Immunoabsorbent Assay (ELISA), Western Blot, Imunohistokimia dan flowcytometry. Petanda CD133 ditemukan ekspresinya meningkat pada berbagai pemeriksaan. CD133 digunakan sebagai prognostik GBM.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1379.1-1379
Author(s):  
L. Giardullo ◽  
C. Rotondo ◽  
A. Corrado ◽  
N. Maruotti ◽  
R. Colia ◽  
...  

Background:Previous study evidenced a cross-reactivity between Sars-Cov-2 antibodies and autoimmune tissue antigen involved in connective tissue diseases, as nuclear antigen (NA), extractable nuclear antigen (ENA), histone and collagen (1). No study has been published about the titer of Sars-Cov-2 antibodies in non-infected patients with autoimmune disease.Objectives:To evaluate the titer of SARS-CoV-2 antibodies in non-COVID-19 patients and compare it between systemic sclerosis (SSc) patients and healthy controls (HC).Methods:A total of 58 patients with SSc (who fulfilled ACR/EULAR 2013 SSc classification criteria) and 18 HC were enrolled. Sera of all participants were collected, and SARS-CoV-2 antibodies (IgG and IgM) were evaluated by means ELISA. In all participants swabs for SARS-CoV-2 by real-time reverse-transcriptase-polymerase-chain-reaction assay were reported negative. Demographic, clinical, and autoimmune serological characteristics of SSc patients were recorded. The normal distribution was assessed using the Shapiro–Wilk’s test. Exclusion criteria was previous or actual Sars-Cov-2 infection. Comparisons between study groups of patients were evaluated by the Student’s t-test or Mann – Whitney U-test as appropriate. The differences between categorial variables were assessed by Pearson chi-square or Fisher’s exact test, as opportune. Statistical significance was set at p ≤ 0.05.Results:We observed significant differences between SSc patients and HC in serum levels of Sars-Cov-2 antibodies (IgG: 1,4±2,1 AU/ml vs 0,36±0,19 AU/ml respectively (p=0,001); and IgM: 2,5±3,1 AU/ml vs 0,8±0,7 AU/ml (p=0,022)). In 5 SSc patients was found titer of Sars-Cov-2 antibodies (IgG) exceeding the cut-off, but the control of swabs for SARS-CoV-2 by real-time reverse-transcriptase-polymerase-chain-reaction assay were negative. No significative differences in Sars-Cov-2 autoantibodies titer were found in subgroup of SSc patients with or without ILD or PAH, limited or diffuse skin subset, and different autoantibodies profile. Furthermore, antibodies titer was not associated with different drugs (steroid, methotrexate, mofetil-mycophenolate and bosentan) in use.Conclusion:A cross mimicking between Sars-Cov-2 antibodies and antinuclear antibodies or anti ENA could be hypothesized. Further studies are necessary to unravel the reliability of Sars-Cov-2 antibodies detection in autoimmune disease.References:[1]Vojdani, A., Vojdani, E., & Kharrazian, D. (2021). Reaction of human monoclonal antibodies to SARS-CoV-2 proteins with tissue antigens: Implications for autoimmune diseases. Frontiers in Immunology, 11, 3679Disclosure of Interests:None declared


2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Yang Zhang ◽  
Chunyang Dai ◽  
Huiyan Wang ◽  
Yong Gao ◽  
Tuantuan Li ◽  
...  

Abstract Background Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, is posing a serious threat to global public health. Reverse transcriptase real-time quantitative polymerase chain reaction (qRT-PCR) is widely used as the gold standard for clinical detection of SARS-CoV-2. Due to technical limitations, the reported positive rates of qRT-PCR assay of throat swab samples vary from 30 to 60%. Therefore, the evaluation of alternative strategies to overcome the limitations of qRT-PCR is required. A previous study reported that one-step nested (OSN)-qRT-PCR revealed better suitability for detecting SARS-CoV-2. However, information on the analytical performance of OSN-qRT-PCR is insufficient. Method In this study, we aimed to analyze OSN-qRT-PCR by comparing it with droplet digital PCR (ddPCR) and qRT-PCR by using a dilution series of SARS-CoV-2 pseudoviral RNA and a quality assessment panel. The clinical performance of OSN-qRT-PCR was also validated and compared with ddPCR and qRT-PCR using specimens from COVID-19 patients. Result The limit of detection (copies/ml) of qRT-PCR, ddPCR, and OSN-qRT-PCR were 520.1 (95% CI: 363.23–1145.69) for ORF1ab and 528.1 (95% CI: 347.7–1248.7) for N, 401.8 (95% CI: 284.8–938.3) for ORF1ab and 336.8 (95% CI: 244.6–792.5) for N, and 194.74 (95% CI: 139.7–430.9) for ORF1ab and 189.1 (95% CI: 130.9–433.9) for N, respectively. Of the 34 clinical samples from COVID-19 patients, the positive rates of OSN-qRT-PCR, ddPCR, and qRT-PCR were 82.35% (28/34), 67.65% (23/34), and 58.82% (20/34), respectively. Conclusion In conclusion, the highly sensitive and specific OSN-qRT-PCR assay is superior to ddPCR and qRT-PCR assays, showing great potential as a technique for detection of SARS-CoV-2 in patients with low viral loads.


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