Literature DB >> 22750048

Assessment of a fully automated high-throughput DNA extraction method from formalin-fixed, paraffin-embedded tissue for KRAS, and BRAF somatic mutation analysis.

Ronald van Eijk1, Lisa Stevens, Hans Morreau, Tom van Wezel.   

Abstract

Preoperative biopsies or imbedded cytological cells will become more and more a primary source of tissue for molecular diagnostic analyses as a result of novel neo-adjuvant treatment regimens for several cancer types. Furthermore there is a growing need to examine metastatic cancer tissue. Hence, nucleic acids need to be reliably isolated and analyzed from small amounts of formalin-fixed and paraffin-embedded (FFPE) tissue. The limited numbers of (tumor) cells in these samples make high quality and sensitive DNA isolation challenging. Also demands for faster turnaround times are growing. Therefore, we evaluated a fully automated DNA/RNA isolation system and compared this with a manual, classical routine molecular pathology method. We compared the quality of the isolates from both tissue cores and micro-dissection for detection of hotspot mutations in KRAS, BRAF applying hydrolysis probe assays. In addition we determined whether the automated method decreases the hands-on-time and turnaround times in routine molecular pathology workflow. In conclusion, the automated method delivers high quality DNA from both small FFPE tissue cores and micro-dissected tissue material. In comparison to classical methods, less than 50% of starting tissue was sufficient as input for micro-dissection. Turnaround times decreased significantly and 50% less hands-on time was needed.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22750048     DOI: 10.1016/j.yexmp.2012.06.004

Source DB:  PubMed          Journal:  Exp Mol Pathol        ISSN: 0014-4800            Impact factor:   3.362


  25 in total

Review 1.  Translating next generation sequencing to practice: opportunities and necessary steps.

Authors:  Sitharthan Kamalakaran; Vinay Varadan; Angel Janevski; Nilanjana Banerjee; David Tuck; W Richard McCombie; Nevenka Dimitrova; Lyndsay N Harris
Journal:  Mol Oncol       Date:  2013-05-15       Impact factor: 6.603

2.  RNA analysis of cancer predisposing genes in formalin-fixed paraffin-embedded tissue determines aberrant splicing.

Authors:  Anne Ml Jansen; Heleen M van der Klift; Marieke Ae Roos; Jaap Dh van Eendenburg; Carli Mj Tops; Juul T Wijnen; Frederik J Hes; Hans Morreau; Tom van Wezel
Journal:  Eur J Hum Genet       Date:  2018-04-30       Impact factor: 4.246

3.  Targeted next generation sequencing screening of Lynch syndrome in Tunisian population.

Authors:  Rihab Ben Sghaier; Anne Maria Lucia Jansen; Ahlem Bdioui; Tom Van Wezel; Mehdi Ksiaa; Lamia Elgolli; Leila Ben Fatma; Slim Ben Ahmed; Mohamed Msaddak Azzouz; Olfa Hellara; Amine Elghali; Fathi Darbel; Karim Skandrani; Moncef Mokkni; Ameni Gdissa; Rached Ltaief; Ali Saad; Fahmi Hmila; Moez Gribaa; Hans Morreau
Journal:  Fam Cancer       Date:  2019-07       Impact factor: 2.375

4.  Targeting EML4-ALK gene fusion variant 3 in thyroid cancer.

Authors:  Mehtap Derya Aydemirli; Jaap D H van Eendenburg; Tom van Wezel; Jan Oosting; Willem E Corver; Ellen Kapiteijn; Hans Morreau
Journal:  Endocr Relat Cancer       Date:  2021-05-11       Impact factor: 5.678

5.  Frequent mutated B2M, EZH2, IRF8, and TNFRSF14 in primary bone diffuse large B-cell lymphoma reflect a GCB phenotype.

Authors:  Ruben A L de Groen; Ronald van Eijk; Stefan Böhringer; Tom van Wezel; Richard Raghoo; Dina Ruano; Patty M Jansen; Inge Briaire-de Bruijn; Fleur A de Groot; Karin Kleiverda; Liane Te Boome; Valeska Terpstra; Henriette Levenga; Alina Nicolae; Eduardus F M Posthuma; Isabelle Focke-Snieders; Lizan Hardi; Wietske C E den Hartog; Lara H Bohmer; Pancras C W Hogendoorn; Anke van den Berg; Arjan Diepstra; Marcel Nijland; Pieternella J Lugtenburg; Marie José Kersten; Steven T Pals; Hendrik Veelken; Judith V M G Bovée; Arjen H G Cleven; Joost S P Vermaat
Journal:  Blood Adv       Date:  2021-10-12

6.  Precise Classification of Cervical Carcinomas Combined with Somatic Mutation Profiling Contributes to Predicting Disease Outcome.

Authors:  Vivian M Spaans; Marjolijn D Trietsch; Alexander A W Peters; Michelle Osse; Natalja Ter Haar; Gert J Fleuren; Ekaterina S Jordanova
Journal:  PLoS One       Date:  2015-07-21       Impact factor: 3.240

7.  Copy number alterations and allelic ratio in relation to recurrence of rectal cancer.

Authors:  Inès J Goossens-Beumer; Jan Oosting; Wim E Corver; Marjolein J F W Janssen; Bart Janssen; Wilbert van Workum; Eliane C M Zeestraten; Cornelis J H van de Velde; Hans Morreau; Peter J K Kuppen; Tom van Wezel
Journal:  BMC Genomics       Date:  2015-06-06       Impact factor: 3.969

8.  The clinical value of HER-2 overexpression and PIK3CA mutations in the older breast cancer population: a FOCUS study analysis.

Authors:  Charla C Engels; Mandy Kiderlen; Esther Bastiaannet; Ronald van Eijk; Antien Mooyaart; Vincent T H B M Smit; Anton J M de Craen; Peter J K Kuppen; Judith R Kroep; Cornelis J H van de Velde; Gerrit Jan Liefers
Journal:  Breast Cancer Res Treat       Date:  2016-03-11       Impact factor: 4.872

9.  Utility of different massive parallel sequencing platforms for mutation profiling in clinical samples and identification of pitfalls using FFPE tissue.

Authors:  Jana Fassunke; Florian Haller; Simone Hebele; Evgeny A Moskalev; Roland Penzel; Nicole Pfarr; Sabine Merkelbach-Bruse; Volker Endris
Journal:  Int J Mol Med       Date:  2015-09-07       Impact factor: 4.101

10.  Refining prognosis and identifying targetable pathways for high-risk endometrial cancer; a TransPORTEC initiative.

Authors:  Ellen Stelloo; Tjalling Bosse; Remi A Nout; Helen J MacKay; David N Church; Hans W Nijman; Alexandra Leary; Richard J Edmondson; Melanie E Powell; Emma J Crosbie; Henry C Kitchener; Linda Mileshkin; Pamela M Pollock; Vincent T Smit; Carien L Creutzberg
Journal:  Mod Pathol       Date:  2015-02-27       Impact factor: 7.842

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