Brunelli Matteo, Martignoni Guido, Malpeli Giorgio, Volpe Alessandro, Cima Luca, Raspollini Maria Rosaria, Barbareschi Mattia, Tafuri Alessandro, Masi Giulia, Barzon Luisa, Ammendola Serena, Villanova Manuela, Cerruto Maria Angela, Milella Michele, Buti Sebastiano, Bersanelli Melissa, Fornarini Giuseppe, Rebuzzi Sara Elena, Vellone Valerio Gaetano, Gaggero Gabriele, Procopio Giuseppe, Verzoni Elena, Bracarda Sergio, Fanelli Martina, Sabbatini Roberto, Passalacqua Rodolfo, Perrucci Bruno, Giganti Maria Olga, Donini Maddalena, Panni Stefano, Tucci Marcello, Prati Veronica, Ortega Cinzia, Caliò Anna, Eccher Albino, Alongi Filippo, Pappagallo Giovanni, Iacovelli Roberto, Mosca Alessandra, Umari Paolo, Montagnani Ilaria, Gobbo Stefano, Atzori Francesco, Munari Enrico, Maruzzo Marco, Basso Umberto, Pierconti Francesco, Patriarca Carlo, Colombo Piergiuseppe, Lapini Alberto, Conti Giario, Salvioni Roberto, Bollito Enrico, Cossarizza Andrea, Massari Francesco, Rizzo Mimma, Franco Renato, Zito-Marino Federica, Aberasturi Plata Yoseba, Galuppini Francesca, Sbaraglia Marta, Fassan Matteo, Dei Tos Angelo Paolo, Colecchia Maurizio, Moch Holger, Scaltriti Maurizio, Porta Camillo, Delahunt Brett, Giannarini Gianluca, Bortolus Roberto, Rescigno Pasquale, Banna Giuseppe Luigi, Signori Alessio, Obispo Miguel Angel Llaja, Perris Roberto, Antonelli Alessandro
Pathology Unit, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, 37134 Verona, Italy.
FISH Lab, Renal Cancer Center Room, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, 37134 Verona, Italy.
J Pers Med. 2022 Apr 30;12(5):727. doi: 10.3390/jpm12050727.
We aimed to overcome intratumoral heterogeneity in clear cell renal cell carcinoma (clearRCC). One hundred cases of clearRCC were sampled. First, usual standard sampling was applied (1 block/cm of tumor); second, the whole tumor was sampled, and 0.6 mm cores were taken from each block to construct a tissue microarray; third, the residual tissue, mapped by taking pieces 0.5 × 0.5 cm, reconstructed the entire tumor mass. Precisely, six randomly derived pieces of tissues were placed in each cassette, with the number of cassettes being based on the diameter of the tumor (called multisite 3D fusion). Angiogenic and immune markers were tested. Routine 5231 tissue blocks were obtained. Multisite 3D fusion sections showed pattern A, homogeneous high vascular density (10%), pattern B, homogeneous low vascular density (8%) and pattern C, heterogeneous angiogenic signatures (82%). PD-L1 expression was seen as diffuse (7%), low (33%) and absent (60%). Tumor-infiltrating CD8 scored high in 25% (pattern hot), low in 65% (pattern weak) and zero in 10% of cases (pattern desert). Grading was upgraded in 26% of cases (G3-G4), necrosis and sarcomatoid/rhabdoid characters were observed in, respectively, 11 and 7% of cases after 3D fusion ( = 0.03). CD8 and PD-L1 immune expressions were higher in the undifferentiated G4/rhabdoid/sarcomatoid clearRCC subtypes ( = 0.03). Again, 22% of cases were set to intermediate to high risk of clinical recurrence due to new morphological findings of all aggressive G4, sarcomatoid/rhabdoid features by using 3D fusion compared to standard methods ( = 0.04). In conclusion, we propose an easy-to-apply multisite 3D fusion sampling that negates bias due to tumor heterogeneity.
我们旨在克服透明细胞肾细胞癌(clearRCC)中的肿瘤内异质性。对100例clearRCC进行了采样。首先,采用常规标准采样(每厘米肿瘤1块组织);其次,对整个肿瘤进行采样,并从每个组织块中取出0.6毫米的组织芯构建组织芯片;第三,通过取0.5×0.5厘米的组织块绘制剩余组织,重建整个肿瘤块。具体而言,每个标本盒中放置6个随机选取的组织块,标本盒的数量根据肿瘤直径确定(称为多位点三维融合)。检测血管生成和免疫标志物。共获得5231个常规组织块。多位点三维融合切片显示模式A,均匀高血管密度(10%),模式B,均匀低血管密度(8%),模式C,异质性血管生成特征(82%)。程序性死亡受体配体1(PD-L1)表达呈弥漫性(7%)、低表达(33%)和无表达(60%)。肿瘤浸润性CD8在25%的病例中评分高(热模式),65%的病例中评分低(弱模式),10%的病例中为零(荒漠模式)。26%的病例分级升级(G3-G4),三维融合后分别有11%和7%的病例观察到坏死和肉瘤样/横纹肌样特征(P = 0.03)。未分化的G4/横纹肌样/肉瘤样clearRCC亚型中CD8和PD-L1免疫表达更高(P = 0.03)。同样,与标准方法相比,通过三维融合发现所有侵袭性G4、肉瘤样/横纹肌样特征的新形态学表现,22%的病例被判定为临床复发的中高风险(P = 0.04)。总之,我们提出了一种易于应用的多位点三维融合采样方法,该方法可消除肿瘤异质性导致的偏差。