BACKGROUND: In thyroid tumors, the coexistence of well- and poorly differentiated tumor types has led to the hypothesis that poorly differentiated thyroid tumors develop from well-differentiated thyroid tumors. By evaluating the genomic instability of histologically distinct but coexisting tumor foci, this study aimed to develop an improved understanding of thyroid tumorigenesis and tumor evolution. DESIGN: Laser capture microdissection (LCM) was carried out on archival formalin-fixed, paraffin-embedded sections from a tumor containing foci of classic papillary thyroid cancer and anaplastic thyroid cancer. DNA was extracted from each microdissected tumor focus. In addition, cryopreserved bulk normal and neoplastic thyroid tissue underwent DNA extraction. All DNA samples were subsequently evaluated for genomic instability by means of inter-simple sequence repeat polymerase chain reaction. RESULTS: The LCM DNA from each archival paraffin-embedded tumor focus demonstrated unique patterns of banding as compared with the cryopreserved tumor and normal tissue DNA. Thus, intratumoral variability in genomic instability was observed. Comparison of inter-simple sequence repeat polymerase chain reaction patterns of LCM DNA from adjacent foci of papillary and anaplastic tumors showed conserved genome alterations. CONCLUSIONS: At the genome level, thyroid tumors may be highly heterogeneous. The intratumoral histologic heterogeneity observed in thyroid neoplasms reflects genetically heterogeneous underlying tumor cell populations that are demonstrated by the observed differences in their rates and extents of genomic instability. The conserved genomic alterations in the microdissected papillary and anaplastic foci suggest intratumoral evolution, with transformation of a preexisting papillary tumor to anaplastic carcinoma.
BACKGROUND: In thyroid tumors, the coexistence of well- and poorly differentiated tumor types has led to the hypothesis that poorly differentiated thyroid tumors develop from well-differentiated thyroid tumors. By evaluating the genomic instability of histologically distinct but coexisting tumor foci, this study aimed to develop an improved understanding of thyroid tumorigenesis and tumor evolution. DESIGN: Laser capture microdissection (LCM) was carried out on archival formalin-fixed, paraffin-embedded sections from a tumor containing foci of classic papillary thyroid cancer and anaplastic thyroid cancer. DNA was extracted from each microdissected tumor focus. In addition, cryopreserved bulk normal and neoplastic thyroid tissue underwent DNA extraction. All DNA samples were subsequently evaluated for genomic instability by means of inter-simple sequence repeat polymerase chain reaction. RESULTS: The LCM DNA from each archival paraffin-embedded tumor focus demonstrated unique patterns of banding as compared with the cryopreserved tumor and normal tissue DNA. Thus, intratumoral variability in genomic instability was observed. Comparison of inter-simple sequence repeat polymerase chain reaction patterns of LCM DNA from adjacent foci of papillary and anaplastic tumors showed conserved genome alterations. CONCLUSIONS: At the genome level, thyroid tumors may be highly heterogeneous. The intratumoral histologic heterogeneity observed in thyroid neoplasms reflects genetically heterogeneous underlying tumor cell populations that are demonstrated by the observed differences in their rates and extents of genomic instability. The conserved genomic alterations in the microdissected papillary and anaplastic foci suggest intratumoral evolution, with transformation of a preexisting papillary tumor to anaplastic carcinoma.
Authors: Hop S Tran Cao; Sharmeela Kaushal; Cynthia S Snyder; Weg M Ongkeko; Robert M Hoffman; Michael Bouvet Journal: Anticancer Res Date: 2010-11 Impact factor: 2.480
Authors: Samara Skwiersky; Gil Hevroni; Gurbaj Singh; Lisel Hope; Tahmineh Haidary; Moro O Salifu; Samy I McFarlane Journal: Am J Med Case Rep Date: 2020-04-22
Authors: Katayoon Kasaian; Sam M Wiseman; Blair A Walker; Jacqueline E Schein; Yongjun Zhao; Martin Hirst; Richard A Moore; Andrew J Mungall; Marco A Marra; Steven J M Jones Journal: BMC Cancer Date: 2015-12-18 Impact factor: 4.430
Authors: Keith C Bible; Electron Kebebew; James Brierley; Juan P Brito; Maria E Cabanillas; Thomas J Clark; Antonio Di Cristofano; Robert Foote; Thomas Giordano; Jan Kasperbauer; Kate Newbold; Yuri E Nikiforov; Gregory Randolph; M Sara Rosenthal; Anna M Sawka; Manisha Shah; Ashok Shaha; Robert Smallridge; Carol K Wong-Clark Journal: Thyroid Date: 2021-03 Impact factor: 6.568
Authors: Huiling He; Wei Li; Dayong Wu; Rebecca Nagy; Sandya Liyanarachchi; Keiko Akagi; Jaroslaw Jendrzejewski; Hong Jiao; Kevin Hoag; Bernard Wen; Mukund Srinivas; Gavisha Waidyaratne; Rui Wang; Anna Wojcicka; Ilene R Lattimer; Elzbieta Stachlewska; Malgorzata Czetwertynska; Joanna Dlugosinska; Wojciech Gierlikowski; Rafal Ploski; Marek Krawczyk; Krystian Jazdzewski; Juha Kere; David E Symer; Victor Jin; Qianben Wang; Albert de la Chapelle Journal: PLoS One Date: 2013-05-14 Impact factor: 3.240