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RNA-Sequencing Analysis of Adrenocortical Carcinoma, Pheochromocytoma and Paraganglioma from a Pan-Cancer Perspective

Crona, Joakim (författare)
Uppsala universitet,Endokrin tumörbiologi,Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Sect Med Neuroendocrinol, NIH, 10 Ctr Dr,Bldg 10,Room 1E-3140, Bethesda, MD 20892 USA
Backman, Samuel (författare)
Uppsala universitet,Experimentell kirurgi
Welin, Staffan (författare)
Uppsala universitet,Onkologisk endokrinologi
visa fler...
Taieb, David (författare)
Aix Marseille Univ, Dept Nucl Med, La Timone Univ Hosp, European Ctr Res Med Imaging, F-13385 Marseille, France
Hellman, Per (författare)
Uppsala universitet,Experimentell kirurgi
Stålberg, Peter (författare)
Uppsala universitet,Endokrinkirurgi
Skogseid, Britt (författare)
Uppsala universitet,Endokrin tumörbiologi
Pacak, Karel (författare)
Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Sect Med Neuroendocrinol, NIH, 10 Ctr Dr,Bldg 10,Room 1E-3140, Bethesda, MD 20892 USA
visa färre...
 (creator_code:org_t)
2018-12-15
2018
Engelska.
Ingår i: Cancers. - : MDPI. - 2072-6694. ; 10:12
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Adrenocortical carcinoma (ACC) and pheochromocytoma and paraganglioma (PPGL) are defined by clinicopathological criteria and can be further sub-divided based on different molecular features. Whether differences between these molecular subgroups are significant enough to re-challenge their current clinicopathological classification is currently unknown. It is also not fully understood to which other cancers ACC and PPGL show similarity to. To address these questions, we included recent RNA-Seq data from the Cancer Genome Atlas (TCGA) and Therapeutically Applicable Research to Generate Effective Treatments (TARGET) datasets. Two bioinformatics pipelines were used for unsupervised clustering and principal components analysis. Results were validated using consensus clustering model and interpreted according to previous pan-cancer experiments. Two datasets consisting of 3319 tumors from 35 disease categories were studied. Consistent with the current classification, ACCs clustered as a homogenous group in a pan-cancer context. It also clustered close to neural crest derived tumors, including gliomas, neuroblastomas, pancreatic neuroendocrine tumors, and PPGLs. Contrary, some PPGLs mixed with pancreatic neuroendocrine tumors or neuroblastomas. Thus, our unbiased gene-expression analysis of PPGL did not overlap with their current clinicopathological classification. These results emphasize some importances of the shared embryological origin of these tumors, all either related or close to neural crest tumors, and opens for investigation of a complementary categorization based on gene-expression features.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

pheochromocytoma
paraganglioma
adrenocortical carcinoma
adrenal tumor
pan-cancer analysis
neural crest
neuroendocrine

Publikations- och innehållstyp

ref (ämneskategori)
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