Evaluation of GenoType MTBDRplus by Use of Extracted DNA from Formalin-Fixed Paraffin-Embedded Specimens.
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ABSTRACT:
SUBMITTER: Schaumburg F
PROVIDER: S-EPMC5654916 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Veterinary pathology tissue banks are valuable resources for genetic studies. However, limited data exist as to whether quality DNA can be extracted from these tissues for use in canine genotyping studies. We extracted DNA from 44 formalin-fixed, paraffin-embedded (FFPE) tissue blocks from dogs; 9 of these dogs had DNA available from whole blood samples that had been banked. We genotyped DNA from 30 of 44 tissue blocks and 9 whole blood samples on the Illumina CanineHD BeadChip; DNA quality was insufficient in 14 of 44 samples from tissue blocks. There was significant correlation between the 260/280 ratio and single-nucleotide variation (SNV) call rate (p = 0.0276; r2 = 0.162); 23 of 30 samples from FFPE were genotyped with > 65% call rates. Median pairwise identical-by-state (IBS) analysis was 0.99 in 8 pairs of dogs with call rates > 65%. Neither age of tissue block nor specific tissue types were associated with significant differences in DNA concentration, 260/280 ratio, or SNV call rate. DNA extracted from tissue blocks can have variable quality, although comparable levels of homozygosity suggest that extracts from FFPE with call rates > 65% might provide similar results to samples from whole blood when analyzed on the Illumina CanineHD BeadChip.
| S-EPMC7438656 | biostudies-literature
Project description:Single-nucleotide polymorphisms (SNPs) can be assayed using DNA isolated from archival formalin-fixed, paraffin-embedded (FFPE) samples, making retrospective pharmacogenetic studies possible. In this study, we describe methods that significantly increase the number of SNP determinations possible using FFPE samples. Quantifying the amount of DNA amenable to PCR (amplification-quality DNA, AQ-DNA) allows a significant reduction in the amount of sample required for Taqman-based SNP assays. Optimizing AQ-DNA input increases PCR amplification efficiency and SNP determination accuracy. DNA was extracted from 39 FFPE tumor sections and matched tumor and stromal cores, which were of the type used to generate tissue microarrays. Sections and tumor cores yielded sufficient AQ-DNA for more than 1000 SNP determinations. Seven SNPs were assessed following individual assay optimization for minimal AQ-DNA. Genotypes from tumor cores for single SNPs were 92.3-100% concordant with those obtained from sections. Using these methods, the number of SNP genotypes that can be determined from single FFPE samples is greatly increased expanding the genetic association studies possible from limited archival specimens. The use of tumor cores is of particular importance as the harvesting of tumor cores has minimal impact on the utility of the donor blocks for other purposes.
| S-EPMC2996486 | biostudies-literature
Project description:Gene fusions play an important role in the carcinogenesis of lung adenocarcinoma. The recent association of four oncogenic driver genes, ALK, ROS1, RET, and NTRK1, as lung tumor predictive biomarkers has increased the need for precision medicine. We used formalin-fixed, paraffin-embedded tissue samples of non-small cell lung cancer from 150 EGFR mutation-negative cases and 10 fusion status-known cases and compared the performance of the Oncomine Dx Fusion Transcript Test (ODxFT) with FISH break-apart for the detection of ALK, RET, and ROS1 fusion genes. RNA was extracted from the paraffin-embedded tissue samples with or without macrodissection under hematoxylin and eosin staining, and the ALK fusion gene was independently determined using these assays. Fusion detection analyses were successfully carried out using ODxFT in 150 cases, with only one invalid case. ALK fusion genes were detected at a frequency of 7.3% (11/150) in the lung cancer specimens. Concordance rate between the ODxFT and ALK-FISH analyses was 99.3% (148/149). Sensitivity and specificity were 91.7% and 99.3%, respectively. All the samples with a known fusion status were accurately matched between the two assays. Our results show a high concordance rate between the ODxFT and ALK-FISH analyses. ODxFT was thus validated as an effective method for detecting clinically significant ALK fusion genes in paraffin-embedded tissue samples.
| S-EPMC6549924 | biostudies-literature
Project description:A study which uses gene expression profiles to infer relative changes in miRNA activity across biological conditions (i.e. tumor versus normal)
2012-07-24 | GSE35852 | GEO
Project description:A study which examines differences in microRNA expression profiles across different sarcoma histological subtypes
2012-07-24 | GSE35851 | GEO
Project description:Archived formalin-fixed, paraffin-embedded human tumors are widely available and represent a unique source of morphologically defined material. Formalin-fixed, paraffin-embedded tissue is known to contain a wealth of molecular information in the form of microRNAs (miRNAs), which could be correlated with clinical outcome for improved prognostication and/or treatment response. miRNAs are endogenous, noncoding RNAs ( approximately 22 nucleotides) and may function as tumor suppressors or oncogenes. A reliable, robust methodology is needed to take full advantage of archived human cancers, especially for those where fresh-frozen tumor banks are unavailable, for example, malignant melanoma. To this end, we applied a simple-to-use protocol for extracting total RNA from various formalin-fixed, paraffin-embedded specimens (colon, liver, prostate, thyroid, uterus, and skin), optimized for small RNA recovery. Using a "poison primer" strategy (ie, primer silencing), we blocked the amplification of ribosomal RNA, enabling the successful sequencing of 17 novel and 53 known miRNAs (including small RNAs) from 10-year-old archived normal skin, cutaneous scalp melanoma, and sentinel lymph nodes (both negative and positive for metastasis) excised from a 52-year-old man. The cloning incidence provided an estimation of the level of specific miRNA expression, which was confirmed by Northern analysis and quantitative real-time polymerase chain reaction. This methodology can therefore be used to facilitate miRNA discovery from archived human cancers.
| S-EPMC2729839 | biostudies-literature
Project description:BACKGROUND: The ability of gene profiling to predict treatment response and prognosis in breast cancers has been demonstrated in many studies using DNA microarray analyses on RNA from fresh frozen tumor specimens. In certain clinical and research situations, performing such analyses on archival formalin fixed paraffin-embedded (FFPE) surgical specimens would be advantageous as large libraries of such specimens with long-term follow-up data are widely available. However, FFPE tissue processing can cause fragmentation and chemical modifications of the RNA. A number of recent technical advances have been reported to overcome these issues. Our current study evaluates whether or not the technology is ready for clinical applications. METHODS: A modified RNA extraction method and a recent DNA microarray technique, cDNA-mediated annealing, selection, extension and ligation (DASL, Illumina Inc) were evaluated. The gene profiles generated from FFPE specimens were compared to those obtained from paired fresh fine needle aspiration biopsies (FNAB) of 25 breast cancers of different clinical subtypes (based on ER and Her2/neu status). Selected RNA levels were validated using RT-qPCR, and two public databases were used to demonstrate the prognostic significance of the gene profiles generated from FFPE specimens. RESULTS: Compared to FNAB, RNA isolated from FFPE samples was relatively more degraded, nonetheless, over 80% of the RNA samples were deemed suitable for subsequent DASL assay. Despite a higher noise level, a set of genes from FFPE specimens correlated very well with the gene profiles obtained from FNAB, and could differentiate breast cancer subtypes. Expression levels of these genes were validated using RT-qPCR. Finally, for the first time we correlated gene expression profiles from FFPE samples to survival using two independent microarray databases. Specifically, over-expression of ANLN and KIF2C, and under-expression of MAPT strongly correlated with poor outcomes in breast cancer patients. CONCLUSION: We demonstrated that FFPE specimens retained important prognostic information that could be identified using a recent gene profiling technology. Our study supports the use of FFPE specimens for the development and refinement of prognostic gene signatures for breast cancer. Clinical applications of such prognostic gene profiles await future large-scale validation studies.
| S-EPMC3128009 | biostudies-literature
Project description:We determined the best extraction buffer for proteomic investigation using formalin-fixation and paraffin-embedded (FFPE) specimens. A Zwittergent 3-16 based buffer, sodium dodecyl sulfate (SDS)-containing buffer with/without polyethylene glycol 20000 (PEG20000), urea-containing buffer, and FFPE-FASP protein preparation kit were compared for protein extraction from different types of rat FFPE tissues, including the heart, brain, liver, lung, and kidney. All of the samples were divided into two groups of laser microdissected (LMD) and non-LMD specimens. For both kinds of specimens, Zwittergent was the most efficient buffer for identifying peptides and proteins, was broadly applicable to different tissues without impairing the enzymatic digestion, and was well compatible with mass spectrometry analysis. As a high molecular weight carrier substance, PEG20000 improved the identification of peptides and proteins; however, such an advantage is limited to tissues containing submicrograms to micrograms of protein. Considering its low lytic strength, urea-containing buffer would not be the first alternative for protein recovery. In conclusion, Zwittergent 3-16 is an effective buffer for extracting proteins from FFPE specimens for downstream proteomics analysis.
| S-EPMC4651363 | biostudies-literature
Project description:BACKGROUND:The current gold standard for diagnostic classification of many solid-tissue neoplasms is immunohistochemistry (IHC) performed on formalin-fixed, paraffin-embedded (FFPE) tissue. Although IHC is commonly used, there remain important issues related to preanalytic variability, nonstandard methods, and operator bias that may contribute to clinically significant error. To increase the quantitative accuracy and reliability of FFPE tissue-based diagnosis, we sought to develop a clinical proteomic method to characterize protein expression in pathologic tissue samples rapidly and quantitatively. METHODS:We subclassified FFPE tissue from 136 clinical pituitary adenoma samples according to hormone translation with IHC and then extracted tissue proteins and quantified pituitary hormones with multiplex bead-based immunoassays. Hormone concentrations were normalized and compared across diagnostic groups. We developed a quantitative classification scheme for pituitary adenomas on archived samples and validated it on prospectively collected clinical samples. RESULTS:The most abundant relative hormone concentrations differentiated sensitively and specifically between IHC-classified hormone-expressing adenoma types, correctly predicting IHC-positive diagnoses in 85% of cases overall, with discrepancies found only in cases of clinically nonfunctioning adenomas. Several adenomas with clinically relevant hormone-expressing phenotypes were identified with this assay yet called "null" by IHC, suggesting that multiplex immunoassays may be more sensitive than IHC for detecting clinically meaningful protein expression. CONCLUSIONS:Multiplex immunoassays performed on FFPE tissue extracts can provide diagnostically relevant information and may exceed the performance of IHC in classifying some pituitary neoplasms. This technique is simple, largely amenable to automation, and likely applicable to other diagnostic problems in molecular pathology.
| S-EPMC4123741 | biostudies-literature
Project description:BACKGROUND: Gene expression profiling of formalin-fixed, paraffin-embedded (FFPE) samples represents a valuable approach for advancing oncology diagnostics and enhancing retrospective clinical studies; however, at present, this methodology still requires optimization and thus has not been extensively used. Here, we utilized thorough quality control methods to assess RNA extracted from FFPE samples and then compared it to RNA extracted from matched fresh-frozen (FF) counterparts. We preformed genome-wide expression profiling of FF and FFPE ovarian serous adenocarcinoma sample pairs and compared their gene signatures to normal ovary samples. METHODS: RNA from FFPE samples was extracted using two different methods, Ambion and Agencourt, and its quality was determined by profiling starting total RNA on Bioanalyzer and by amplifying increasing size fragments of beta actin (ACTB) and claudin 3 (CLDN3) by reverse-transcriptase polymerase chain reaction. Five matched FF and FFPE ovarian serous adenocarcinoma samples, as well as a set of normal ovary samples, were profiled using whole genome Agilent microarrays. Reproducibility of the FF and FFPE replicates was measured using Pearson correlation, whereas comparison between the FF and FFPE samples was done using a Z-score analysis. RESULTS: Data analysis showed high reproducibility of expression within each FF and FFPE method, whereas matched FF and FFPE pairs demonstrated lower similarity, emphasizing an inherent difference between the two sample types. Z-score analysis of matched FF and FFPE samples revealed good concordance of top 100 differentially expressed genes with the highest correlation of 0.84. Genes characteristic of ovarian serous adenocarcinoma, including a well known marker CLDN3, as well as potentially some novel markers, were identified by comparing gene expression profiles of ovarian adenocarcinoma to those of normal ovary. CONCLUSION: Conclusively, we showed that systematic assessment of FFPE samples at the RNA level is essential for obtaining good quality gene expression microarray data. We also demonstrated that profiling of not only FF but also of FFPE samples can be successfully used to identify differentially expressed genes characteristic of ovarian carcinoma.
| S-EPMC2694827 | biostudies-literature