Genotyping data of routinely processed matched primary/metastatic tumor samples
Vassiliki Kotoula,
Kyriakos Chatzopoulos,
Kyriaki Papadopoulou,
Eleni Giannoulatou,
Georgia-Angeliki Koliou,
Vasilios Karavasilis,
Elissavet Pazarli,
Stavroula Pervana,
Georgia Kafiri,
Georgios Tsoulfas,
Sofia Chrisafi,
Helen Sgouramali,
Pavlos Papakostas,
Dimitrios Pectasides,
Prodromos Hytiroglou,
George Pentheroudakis,
George Fountzilas
Affiliations
Vassiliki Kotoula
Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece; Department of Pathology, School of Health Sciences, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece; Corresponding authors at: Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece.
Kyriakos Chatzopoulos
Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece; Department of Pathology, School of Health Sciences, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece; Corresponding authors at: Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece.
Kyriaki Papadopoulou
Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece
Eleni Giannoulatou
Bioinformatics and Systems Medicine Laboratory, Victor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia; The University of New South Wales, Kensington, NSW, Australia
Georgia-Angeliki Koliou
Section of Biostatistics, Hellenic Cooperative Oncology Group, Data Office, Athens, Greece
Vasilios Karavasilis
Department of Medical Oncology, Papageorgiou Hospital, Aristotle University of Thessaloniki, School of Health Sciences, Faculty of Medicine, Thessaloniki, Greece
Elissavet Pazarli
Department of Pathology, Papageorgiou Hospital, Aristotle University of Thessaloniki, School of Health Sciences, Faculty of Medicine, Thessaloniki, Greece
Stavroula Pervana
Department of Pathology, Papageorgiou Hospital, Aristotle University of Thessaloniki, School of Health Sciences, Faculty of Medicine, Thessaloniki, Greece
Georgia Kafiri
Department of Pathology, Hippokration Hospital, Athens, Greece
Georgios Tsoulfas
Department of Surgery, Aristotle University of Thessaloniki, Thessaloniki, Greece
Sofia Chrisafi
Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece
Helen Sgouramali
Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece
Pavlos Papakostas
Oncology Section, Second Department of Internal Medicine, Hippokration Hospital, Athens, Greece
Dimitrios Pectasides
Oncology Section, Second Department of Internal Medicine, Hippokration Hospital, Athens, Greece
Prodromos Hytiroglou
Department of Pathology, School of Health Sciences, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
George Pentheroudakis
Department of Medical Oncology, Medical School, University of Ioannina, Ioannina, Greece; Society for Study of Clonal Heterogeneity of Neoplasia (EMEKEN), Ioannina, Greece
George Fountzilas
Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research/Aristotle University of Thessaloniki, Thessaloniki, Greece; Aristotle University of Thessaloniki, Thessaloniki, Greece; German Oncology Center, Limassol, Cyprus
Genotypic and phenotypic comparisons of tumors in multiple tissue samples from the same patient are important for understanding disease evolution and treatment possibilities. Panel NGS genotyping is currently widely used in this context, whereby NGS variant filtering and final evaluation constitute the basis for meaningful comparisons. Here, we present the genotype data used for genotype / phenotype comparisons between matched primary / metastatic colorectal tumors in the work by Chatzopoulos et al (doi: 10.1016/j.humpath.2020.10.009), as well as the process followed for obtaining these data. We describe key issues while processing routinely formalin-fixed paraffin-embedded (FFPE) tumors for genotyping, NGS application (Ion Torrent), a stringent variant filtering algorithm for genotype analyses in FFPE tissues and particularly in matched tumor samples, and provide the respective datasets. Apart from research, tumor NGS genotyping is currently applied for clinical diagnostic purposes in Oncology. The datasets and method description provided herein (a) are important for comprehending the peculiarities of FFPE tumor genotyping, which is still mostly based on principles of germline DNA genotyping; (b) can be used in pooled analyses, e.g., of primary / metastatic tumors for the investigation of tumor evolution.