scholarly journals Improved RT-PCR Amplification for Molecular Analyses with Long-term Preserved Formalin-fixed, Paraffin-embedded Tissue Specimens

2006 ◽  
Vol 54 (7) ◽  
pp. 773-780 ◽  
Author(s):  
Kiyohiro Hamatani ◽  
Hidetaka Eguchi ◽  
Keiko Takahashi ◽  
Kazuaki Koyama ◽  
Mayumi Mukai ◽  
...  
Keyword(s):  
Pcr Amplification ◽  
Rt Pcr ◽  
Molecular Analyses ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Tissue Specimens ◽  
Formalin Fixed

scholarly journals Discrimination of Aspergillosis, Mucormycosis, Fusariosis, and Scedosporiosis in Formalin-Fixed Paraffin-Embedded Tissue Specimens by Use of Multiple Real-Time Quantitative PCR Assays

2016 ◽  
Vol 54 (11) ◽  
pp. 2798-2803 ◽  
Author(s):  
Elham Salehi ◽  
Mohammad T. Hedayati ◽  
Jan Zoll ◽  
Haleh Rafati ◽  
Maryam Ghasemi ◽  
...  
Keyword(s):  
Fusarium Oxysporum ◽  
Aspergillus Flavus ◽  
Ffpe Tissue ◽  
Content Type ◽  
Real Time Quantitative Pcr ◽  
Tissue Sections ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Tissue Specimens ◽  
Formalin Fixed

In a retrospective multicenter study, 102 formalin-fixed paraffin-embedded (FFPE) tissue specimens with histopathology results were tested. Two 4- to 5-μm FFPE tissue sections from each specimen were digested with proteinase K, followed by automated nucleic acid extraction. Multiple real-time quantitative PCR (qPCR) assays targeting the internal transcribed spacer 2 (ITS2) region of ribosomal DNA, using fluorescently labeled primers, was performed to identify clinically important genera and species of Aspergillus , Fusarium , Scedosporium , and the Mucormycetes . The molecular identification was correlated with results from histological examination. One of the main findings of our study was the high sensitivity of the automated DNA extraction method, which was estimated to be 94%. The qPCR procedure that was evaluated identified a range of fungal genera/species, including Aspergillus fumigatus , Aspergillus flavus , Aspergillus terreus , Aspergillus niger , Fusarium oxysporum , Fusarium solani , Scedosporium apiospermum , Rhizopus oryzae , Rhizopus microsporus , Mucor spp., and Syncephalastrum . Fusarium oxysporum and F. solani DNA was amplified from five specimens from patients initially diagnosed by histopathology as having aspergillosis. Aspergillus flavus , S. apiospermum , and Syncephalastrum were detected from histopathological mucormycosis samples. In addition, examination of four samples from patients suspected of having concomitant aspergillosis and mucormycosis infections resulted in the identification of two A. flavus isolates, one Mucor isolate, and only one sample having both R. oryzae and A. flavus . Our results indicate that histopathological features of molds may be easily confused in tissue sections. The qPCR assay used in this study is a reliable tool for the rapid and accurate identification of fungal pathogens to the genus and species levels directly from FFPE tissues.

scholarly journals Apolipoprotein D Expression in Primary Brain Tumors: Analysis by Quantitative RT-PCR in Formalin-fixed, Paraffin-embedded Tissue

2005 ◽  
Vol 53 (8) ◽  
pp. 963-969 ◽  
Author(s):  
Stephen B. Hunter ◽  
Vijay Varma ◽  
Bahig Shehata ◽  
J.D.L. Nolen ◽  
Cynthia Cohen ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Tumor Type ◽  
Rt Pcr ◽  
Who Grade ◽  
Primary Brain Tumors ◽  
Formalin Fixed Paraffin ◽  
Pilocytic Astrocytomas ◽  
Formalin Fixed Paraffin Embedded ◽  
Apolipoprotein D ◽  
Formalin Fixed

Apolipoprotein D (apoD) expression has been shown to correlate both with cell cycle arrest and with prognosis in several types of malignancy, including central nervous system astrocytomas and medulloblastomas. ApoD expression was investigated by real-time quantitative RT-PCR using RNA extracted from 68 formalin-fixed, paraffin-embedded brain specimens. Glyceraldehyde phosphate dehydrogenase was used as an internal control. Quantitation was achieved on all specimens. Sixteen poorly infiltrating WHO grade I glial neoplasms (i.e., pilocytic astrocytomas and gangliogliomas) showed an average 20-fold higher apoD expression level compared with the 20 diffusely infiltrating glial neoplasms (i.e., glioblastoma, anaplastic astrocytoma, oligodendrogliomas; p=0.00004). A small number of exceptions (i.e., two high-expressing glioblastomas and three low-expressing gangliogliomas) were identified. Analyzed as individual tumor groups, poorly infiltrating grade I pilocytic astrocytomas and gangliogliomas differed significantly from each tumor type within the diffusely infiltrating higher-grade category ( p<0.05 for each comparison) but not from each other ( p>0.05). Conversely, each individual tumor type within the diffusely infiltrating category differed significantly from both pilocytic astrocytomas and gangliogliomas ( p<0.05) but did not vary from other infiltrating tumors ( p>0.05). Ependymomas, non-infiltrating grade II neoplasms, expressed levels of apoD similar to or lower than levels expressed by the diffusely infiltrating gliomas. Ten medulloblastomas with survival longer than 3 years averaged slightly higher apoD expression than four fatal medulloblastomas; however, this result was not statistically significant and individual exceptions were notable. In 17 of the medulloblastomas, MIB-1 proliferation rates quantitated by image cytometry did not correlate with apoD expression. In addition, apoD expression was 5-fold higher in the slowly proliferating grade I glial neoplasms compared with non-proliferating normal brain tissue ( p=0.01), suggesting that apoD expression is not simply an inverse measure of proliferation. ApoD expression measured by quantitative RT-PCR may be useful in the differential diagnosis of primary brain tumors, particularly pilocytic astrocytomas and gangliogliomas.

Detection of West Nile virus in formalin-fixed, paraffin-embedded human tissues by RT-PCR: A useful adjunct to conventional tissue-based diagnostic methods

2007 ◽  
Vol 38 (2) ◽  
pp. 106-111 ◽  
Author(s):  
Julu Bhatnagar ◽  
Jeannette Guarner ◽  
Christopher D. Paddock ◽  
Wun-Ju Shieh ◽  
Robert S. Lanciotti ◽  
...  
Keyword(s):  
West Nile Virus ◽  
Diagnostic Methods ◽  
Human Tissues ◽  
Rt Pcr ◽  
West Nile ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Formalin Fixed

Sarcoma Subgrouping by Detection of Fusion Transcripts Using NanoString nCounter Technology

2018 ◽  
Vol 22 (3) ◽  
pp. 205-213 ◽  
Author(s):  
Javal Sheth ◽  
Anthony Arnoldo ◽  
Yunan Zhong ◽  
Paula Marrano ◽  
Carlos Pereira ◽  
...  
Keyword(s):  
Rt Pcr ◽  
Fusion Transcripts ◽  
Pediatric Sarcoma ◽  
Formalin Fixed Paraffin ◽  
Pediatric Sarcomas ◽  
Formalin Fixed Paraffin Embedded ◽  
Ffpe Tissues ◽  
Nanostring Technology ◽  
Future Work ◽  
Formalin Fixed

Background NanoString technology is an innovative barcode-based system that requires less tissue than traditional techniques and can test for multiple fusion transcripts in a single reaction. The objective of this study was to determine the utility of NanoString technology in the detection of sarcoma-specific fusion transcripts in pediatric sarcomas. Design Probe pairs for the most common pediatric sarcoma fusion transcripts were designed for the assay. The NanoString assay was used to test 22 specific fusion transcripts in 45 sarcoma samples that had exhibited one of these fusion genes previously by reverse transcription polymerase chain reaction (RT-PCR). A mixture of frozen (n = 18), formalin-fixed, paraffin-embedded (FFPE) tissue (n = 23), and rapid extract template (n = 4) were used for testing. Results Each of the 22 transcripts tested was detected in at least one of the 45 tumor samples. The results of the NanoString assay were 100% concordant with the previous RT-PCR results for the tumor samples, and the technique was successful using both FFPE and rapid extract method. Conclusion Multiplexed interrogation for sarcoma-specific fusion transcripts using NanoString technology is a reliable approach for molecular diagnosis of pediatric sarcomas and works well with FFPE tissues. Future work will involve validating additional sarcoma fusion transcripts as well as determining the optimal workflow for diagnostic purposes.

scholarly journals Selection of endogenous control genes for normalising gene expression data derived from formalin-fixed paraffin-embedded tumour tissue

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Tim A. D. Smith ◽  
Omneya A. AbdelKarem ◽  
Joely J. Irlam-Jones ◽  
Brian Lane ◽  
Helen Valentine ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Candidate Genes ◽  
Pcr Amplification ◽  
The Cancer Genome Atlas ◽  
Analysis Tool ◽  
Endogenous Control ◽  
Formalin Fixed Paraffin ◽  
Stability Ranking ◽  
Formalin Fixed Paraffin Embedded ◽  
Formalin Fixed

Abstract Quantitative real time polymerase chain reaction (qPCR) data are normalised using endogenous control genes. We aimed to: (1) demonstrate a pathway to identify endogenous control genes for qPCR analysis of formalin-fixed paraffin-embedded (FFPE) tissue using bladder cancer as an exemplar; and (2) examine the influence of probe length and sample age on PCR amplification and co-expression of candidate genes on apparent expression stability. RNA was extracted from prospective and retrospective samples and subject to qPCR using TaqMan human endogenous control arrays or single tube assays. Gene stability ranking was assessed using coefficient of variation (CoV), GeNorm and NormFinder. Co-expressed genes were identified from The Cancer Genome Atlas (TCGA) using the on-line gene regression analysis tool GRACE. Cycle threshold (Ct) values were lower for prospective (19.49 ± 2.53) vs retrospective (23.8 ± 3.32) tissues (p < 0.001) and shorter vs longer probes. Co-expressed genes ranked as the most stable genes in the TCGA cohort by GeNorm when analysed together but ranked lower when analysed individually omitting co-expressed genes indicating bias. Stability values were < 1.5 for the 20 candidate genes in the prospective cohort. As they consistently ranked in the top ten by CoV, GeNorm and Normfinder, UBC, RPLP0, HMBS, GUSB, and TBP are the most suitable endogenous control genes for bladder cancer qPCR.

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