Radiology- and gene-based risk stratification in small renal cell carcinoma: A preliminary study.

<h4>Purpose</h4>Most small renal cell carcinomas (small RCCs) will remain indolent after detection, but some stage I RCCs still metastasize. There are no risk-stratification imaging factors that could be used to identify poor-prognosis patients based on genomic profiling. Here, we evalua...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Seiichiro Takao, Yasuhiro Ushijima, Yushi Motomura, Katsumi Sakamoto, Masakazu Hirakawa, Akihiro Nishie, Koshi Mimori, Yasuo Yamashita, Takashi Tsutsumi, Kousei Ishigami
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/3d7948ebd7494d74b68c8b64548189f0
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:3d7948ebd7494d74b68c8b64548189f0
record_format dspace
spelling oai:doaj.org-article:3d7948ebd7494d74b68c8b64548189f02021-12-02T20:08:27ZRadiology- and gene-based risk stratification in small renal cell carcinoma: A preliminary study.1932-620310.1371/journal.pone.0256471https://doaj.org/article/3d7948ebd7494d74b68c8b64548189f02021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256471https://doaj.org/toc/1932-6203<h4>Purpose</h4>Most small renal cell carcinomas (small RCCs) will remain indolent after detection, but some stage I RCCs still metastasize. There are no risk-stratification imaging factors that could be used to identify poor-prognosis patients based on genomic profiling. Here, we evaluated the relationships between imaging parameters and RNA expressions in small RCC and attempted to identify imaging factors that could be used as effective biomarkers.<h4>Methods</h4>We acquired biopsy specimens of 18 clear cell carcinomas that had undergone perfusion CT (pCT) and MRI between April 2018 and March 2019. We performed RNA sequencing, assessed RNA expressions, and calculated each tumor's cell-cycle progression (CCP) score, which has prognostic value in predicting metastatic progression. We classified the tumors into two groups: clear cell type A (ccA) and type B (ccB). CcA has better survival compared to ccB. We evaluated the following characteristics of each tumor: tumor size, presence of pseudocapsule, and fat. We used the pCT and MRI to measure each tumor's volume transfer constant (Ktrans), rate constant (Kep), extracellular extravascular volume fraction (VE), fractional plasma volume (VP), and apparent diffusion coefficient (ADC). The correlations between these small RCC imaging parameters and the tumor size and RNA expressions were determined.<h4>Results</h4>The tumor size was significantly correlated with Kep and inversely correlated with VE, VP, ADC, and hallmark angiogenesis. The CCP score was significantly inversely correlated with Ktrans and Kep. The ccA tumors tended to show a pseudocapsule on MRI.<h4>Conclusion</h4>Tumor size was correlated with low perfusion, but not with prognostic factors based on genomic profiling. Imaging parameters (e.g., Ktrans and Kep) and tumor characteristics (e.g., pseudocapsule) may enable gene-based risk stratification in small RCC.Seiichiro TakaoYasuhiro UshijimaYushi MotomuraKatsumi SakamotoMasakazu HirakawaAkihiro NishieKoshi MimoriYasuo YamashitaTakashi TsutsumiKousei IshigamiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0256471 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Seiichiro Takao
Yasuhiro Ushijima
Yushi Motomura
Katsumi Sakamoto
Masakazu Hirakawa
Akihiro Nishie
Koshi Mimori
Yasuo Yamashita
Takashi Tsutsumi
Kousei Ishigami
Radiology- and gene-based risk stratification in small renal cell carcinoma: A preliminary study.
description <h4>Purpose</h4>Most small renal cell carcinomas (small RCCs) will remain indolent after detection, but some stage I RCCs still metastasize. There are no risk-stratification imaging factors that could be used to identify poor-prognosis patients based on genomic profiling. Here, we evaluated the relationships between imaging parameters and RNA expressions in small RCC and attempted to identify imaging factors that could be used as effective biomarkers.<h4>Methods</h4>We acquired biopsy specimens of 18 clear cell carcinomas that had undergone perfusion CT (pCT) and MRI between April 2018 and March 2019. We performed RNA sequencing, assessed RNA expressions, and calculated each tumor's cell-cycle progression (CCP) score, which has prognostic value in predicting metastatic progression. We classified the tumors into two groups: clear cell type A (ccA) and type B (ccB). CcA has better survival compared to ccB. We evaluated the following characteristics of each tumor: tumor size, presence of pseudocapsule, and fat. We used the pCT and MRI to measure each tumor's volume transfer constant (Ktrans), rate constant (Kep), extracellular extravascular volume fraction (VE), fractional plasma volume (VP), and apparent diffusion coefficient (ADC). The correlations between these small RCC imaging parameters and the tumor size and RNA expressions were determined.<h4>Results</h4>The tumor size was significantly correlated with Kep and inversely correlated with VE, VP, ADC, and hallmark angiogenesis. The CCP score was significantly inversely correlated with Ktrans and Kep. The ccA tumors tended to show a pseudocapsule on MRI.<h4>Conclusion</h4>Tumor size was correlated with low perfusion, but not with prognostic factors based on genomic profiling. Imaging parameters (e.g., Ktrans and Kep) and tumor characteristics (e.g., pseudocapsule) may enable gene-based risk stratification in small RCC.
format article
author Seiichiro Takao
Yasuhiro Ushijima
Yushi Motomura
Katsumi Sakamoto
Masakazu Hirakawa
Akihiro Nishie
Koshi Mimori
Yasuo Yamashita
Takashi Tsutsumi
Kousei Ishigami
author_facet Seiichiro Takao
Yasuhiro Ushijima
Yushi Motomura
Katsumi Sakamoto
Masakazu Hirakawa
Akihiro Nishie
Koshi Mimori
Yasuo Yamashita
Takashi Tsutsumi
Kousei Ishigami
author_sort Seiichiro Takao
title Radiology- and gene-based risk stratification in small renal cell carcinoma: A preliminary study.
title_short Radiology- and gene-based risk stratification in small renal cell carcinoma: A preliminary study.
title_full Radiology- and gene-based risk stratification in small renal cell carcinoma: A preliminary study.
title_fullStr Radiology- and gene-based risk stratification in small renal cell carcinoma: A preliminary study.
title_full_unstemmed Radiology- and gene-based risk stratification in small renal cell carcinoma: A preliminary study.
title_sort radiology- and gene-based risk stratification in small renal cell carcinoma: a preliminary study.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/3d7948ebd7494d74b68c8b64548189f0
work_keys_str_mv AT seiichirotakao radiologyandgenebasedriskstratificationinsmallrenalcellcarcinomaapreliminarystudy
AT yasuhiroushijima radiologyandgenebasedriskstratificationinsmallrenalcellcarcinomaapreliminarystudy
AT yushimotomura radiologyandgenebasedriskstratificationinsmallrenalcellcarcinomaapreliminarystudy
AT katsumisakamoto radiologyandgenebasedriskstratificationinsmallrenalcellcarcinomaapreliminarystudy
AT masakazuhirakawa radiologyandgenebasedriskstratificationinsmallrenalcellcarcinomaapreliminarystudy
AT akihironishie radiologyandgenebasedriskstratificationinsmallrenalcellcarcinomaapreliminarystudy
AT koshimimori radiologyandgenebasedriskstratificationinsmallrenalcellcarcinomaapreliminarystudy
AT yasuoyamashita radiologyandgenebasedriskstratificationinsmallrenalcellcarcinomaapreliminarystudy
AT takashitsutsumi radiologyandgenebasedriskstratificationinsmallrenalcellcarcinomaapreliminarystudy
AT kouseiishigami radiologyandgenebasedriskstratificationinsmallrenalcellcarcinomaapreliminarystudy
_version_ 1718375174675365888