Immune signature of pheochromocytoma and paraganglioma in context of neuroendocrine neoplasms associated with prognosis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F23%3A43906645" target="_blank" >RIV/60076658:12310/23:43906645 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s12020-022-03218-1" target="_blank" >https://link.springer.com/article/10.1007/s12020-022-03218-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12020-022-03218-1" target="_blank" >10.1007/s12020-022-03218-1</a>
Alternative languages
Result language
angličtina
Original language name
Immune signature of pheochromocytoma and paraganglioma in context of neuroendocrine neoplasms associated with prognosis
Original language description
Purpose To understand prognostic immune cell infiltration signatures in neuroendocrine neoplasms (NENs), particularly pheochromocytoma and paraganglioma (PCPG), we analyzed tumor transcriptomic data from The Cancer Genome Atlas (TCGA) and other published tumor transcriptomic data of NENs. Methods We used CIBERSORT to infer immune cell infiltrations from bulk tumor transcriptomic data from PCPGs, in comparison to gastroenteropancreatic neuroendocrine tumors (GEPNETs) and small cell lung carcinomas (SCLCs). PCPG immune signature was validated with NanoString immune panel in an independent cohort. Unsupervised clustering of the immune infiltration scores from CIBERSORT was used to find immune clusters. A prognostic immune score model for PCPGs and the other NENs were calculated as a linear combination of the estimated infiltration of activated CD8(+)/CD4(+) T cells, activated NK cells, and M0 and M2 macrophages. Results In PCPGs, we found five dominant immune clusters, associated with M2 macrophages, monocytes, activated NK cells, M0 macrophages and regulatory T cells, and CD8(+)/CD4(+) T cells respectively. Non-metastatic tumors were associated with activated NK cells and metastatic tumors were associated with M0 macrophages and regulatory T cells. In GEPNETs and SCLCs, M0 macrophages and regulatory T cells were associated with unfavorable outcomes and features, such as metastasis and high-grade tumors. The prognostic immune score model for PCPGs and the NENs could predict non-aggressive and non-metastatic diseases. In PCPGs, the immune score was also an independent predictor of metastasis-free survival in a multivariate Cox regression analysis. Conclusion The transcriptomic immune signature in PCPG correlates with clinical features like metastasis and prognosis.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
30102 - Immunology
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ENDOCRINE
ISSN
1355-008X
e-ISSN
1559-0100
Volume of the periodical
79
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
171-179
UT code for WoS article
000882355400001
EID of the result in the Scopus database
2-s2.0-85141741022