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

Radiology- and gene-based risk stratification in small renal cell carcinoma: A preliminary study.
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DOI:
10.1371/journal.pone.0256471
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发表时间:
2021
期刊:
影响因子:
3.7
通讯作者:
Ishigami K
Ishigami K
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Takao S;Ushijima Y;Motomura Y;Sakamoto K;Hirakawa M;Nishie A;Mimori K;Yamashita Y;Tsutsumi T;Ishigami K

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大多数小肾细胞癌(小RCC)在检测后将保持惰性,但一些I期RCC仍然会转移。没有风险分层成像因素可用于根据基因组分析来识别预后不良的患者。在这里,我们评估了小肾细胞癌中成像参数和 RNA 表达之间的关系,并试图确定可用作有效生物标志物的成像因素。我们采集了 2018 年 4 月至 2019 年 3 月期间接受灌注 CT (pCT) 和 MRI 的 18 例透明细胞癌的活检标本。我们进行了 RNA 测序,评估了 RNA 表达,并计算了每个肿瘤的细胞周期进展 (CCP) 评分,这对于预测转移进展具有预后价值。我们将肿瘤分为两组:A 型透明细胞 (ccA) 和 B 型透明细胞 (ccB)。与 ccB 相比,CcA 具有更好的生存率。我们评估了每个肿瘤的以下特征:肿瘤大小、假包膜的存在和脂肪。我们使用 pCT 和 MRI 来测量每个肿瘤的体积转移常数 (Ktrans)、速率常数 (Kep)、细胞外血管外体积分数 (VE)、血浆体积分数 (VP) 和表观扩散系数 (ADC)。确定了这些小 RCC 成像参数与肿瘤大小和 RNA 表达之间的相关性。肿瘤大小与 Kep 显着相关,与 VE、VP、ADC 和标志性血管生成呈负相关。 CCP评分与Ktrans和Kep显着负相关。 ccA 肿瘤在 MRI 上倾向于显示假包膜。肿瘤大小与低灌注相关,但与基于基因组分析的预后因素无关。成像参数(例如 Ktrans 和 Kep)和肿瘤特征(例如假包膜)可能有助于对小型肾细胞癌进行基于基因的风险分层。
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. 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. 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. 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.
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