{"title":"乳头状肾细胞癌的组织学免疫表型与全身治疗效果相关的基因特征的相关性。","authors":"Masanori Shiohara, Chisato Ohe, Nozomi Tsujio, Rena Uno, Kenichi Kohashi","doi":"10.1016/j.prp.2024.155764","DOIUrl":null,"url":null,"abstract":"<p><p>To predict the therapeutic response of systemic therapy, comprehensive analyses of the tumor microenvironment in papillary renal cell carcinoma (pRCC) have been conducted previously using immunohistochemistry and RNA sequencing. This study aimed to evaluate the correlation between hematoxylin and eosin-based histological immunophenotypes and gene signatures employed in several clinical trials predicting responsiveness to immune checkpoint inhibitors and tyrosine kinase inhibitors, using data from the Cancer Genome Atlas (TCGA)-KIRP cohort (n = 254). Herein, we evaluated tumor-associated immune cells (TAICs) using three methodologies previously reported in clear cell RCC: a 3-tier immunophenotype (desert, excluded, and inflamed) based on the spatial distribution of TAICs; a 4-tier immunophenotype (cold, immune-low, excluded, and hot) considering both the location and degree of TAICs; and an inflammation score (score 0, 1, and 2) focusing only on the degree of TAICs. Furthermore, we compared the predictive ability of the three immunophenotypes. The histological immunophenotype in pRCC exhibited a correlation with adverse clinicopathological factors (including higher stage, WHO/ISUP grade, and the presence of sarcomatoid/rhabdoid changes), gene signatures related to angiogenesis, Teff, myeloid cells, JAVELIN Renal 101 Immuno, and immune checkpoints, as well as a poorer prognosis. Among the three methodologies, the 4-tier immunophenotype demonstrated the strongest correlation with gene signatures. In conclusion, the 4-tier immunophenotype may yield potential predictive biomarkers for pRCC and guide treatment decisions.</p>","PeriodicalId":19916,"journal":{"name":"Pathology, research and practice","volume":"266 ","pages":"155764"},"PeriodicalIF":2.9000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correlation of histological immunophenotype in papillary renal cell carcinoma with gene signatures related to the therapeutic effect of systemic therapy.\",\"authors\":\"Masanori Shiohara, Chisato Ohe, Nozomi Tsujio, Rena Uno, Kenichi Kohashi\",\"doi\":\"10.1016/j.prp.2024.155764\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To predict the therapeutic response of systemic therapy, comprehensive analyses of the tumor microenvironment in papillary renal cell carcinoma (pRCC) have been conducted previously using immunohistochemistry and RNA sequencing. This study aimed to evaluate the correlation between hematoxylin and eosin-based histological immunophenotypes and gene signatures employed in several clinical trials predicting responsiveness to immune checkpoint inhibitors and tyrosine kinase inhibitors, using data from the Cancer Genome Atlas (TCGA)-KIRP cohort (n = 254). Herein, we evaluated tumor-associated immune cells (TAICs) using three methodologies previously reported in clear cell RCC: a 3-tier immunophenotype (desert, excluded, and inflamed) based on the spatial distribution of TAICs; a 4-tier immunophenotype (cold, immune-low, excluded, and hot) considering both the location and degree of TAICs; and an inflammation score (score 0, 1, and 2) focusing only on the degree of TAICs. Furthermore, we compared the predictive ability of the three immunophenotypes. The histological immunophenotype in pRCC exhibited a correlation with adverse clinicopathological factors (including higher stage, WHO/ISUP grade, and the presence of sarcomatoid/rhabdoid changes), gene signatures related to angiogenesis, Teff, myeloid cells, JAVELIN Renal 101 Immuno, and immune checkpoints, as well as a poorer prognosis. Among the three methodologies, the 4-tier immunophenotype demonstrated the strongest correlation with gene signatures. In conclusion, the 4-tier immunophenotype may yield potential predictive biomarkers for pRCC and guide treatment decisions.</p>\",\"PeriodicalId\":19916,\"journal\":{\"name\":\"Pathology, research and practice\",\"volume\":\"266 \",\"pages\":\"155764\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pathology, research and practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.prp.2024.155764\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pathology, research and practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.prp.2024.155764","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PATHOLOGY","Score":null,"Total":0}
Correlation of histological immunophenotype in papillary renal cell carcinoma with gene signatures related to the therapeutic effect of systemic therapy.
To predict the therapeutic response of systemic therapy, comprehensive analyses of the tumor microenvironment in papillary renal cell carcinoma (pRCC) have been conducted previously using immunohistochemistry and RNA sequencing. This study aimed to evaluate the correlation between hematoxylin and eosin-based histological immunophenotypes and gene signatures employed in several clinical trials predicting responsiveness to immune checkpoint inhibitors and tyrosine kinase inhibitors, using data from the Cancer Genome Atlas (TCGA)-KIRP cohort (n = 254). Herein, we evaluated tumor-associated immune cells (TAICs) using three methodologies previously reported in clear cell RCC: a 3-tier immunophenotype (desert, excluded, and inflamed) based on the spatial distribution of TAICs; a 4-tier immunophenotype (cold, immune-low, excluded, and hot) considering both the location and degree of TAICs; and an inflammation score (score 0, 1, and 2) focusing only on the degree of TAICs. Furthermore, we compared the predictive ability of the three immunophenotypes. The histological immunophenotype in pRCC exhibited a correlation with adverse clinicopathological factors (including higher stage, WHO/ISUP grade, and the presence of sarcomatoid/rhabdoid changes), gene signatures related to angiogenesis, Teff, myeloid cells, JAVELIN Renal 101 Immuno, and immune checkpoints, as well as a poorer prognosis. Among the three methodologies, the 4-tier immunophenotype demonstrated the strongest correlation with gene signatures. In conclusion, the 4-tier immunophenotype may yield potential predictive biomarkers for pRCC and guide treatment decisions.
期刊介绍:
Pathology, Research and Practice provides accessible coverage of the most recent developments across the entire field of pathology: Reviews focus on recent progress in pathology, while Comments look at interesting current problems and at hypotheses for future developments in pathology. Original Papers present novel findings on all aspects of general, anatomic and molecular pathology. Rapid Communications inform readers on preliminary findings that may be relevant for further studies and need to be communicated quickly. Teaching Cases look at new aspects or special diagnostic problems of diseases and at case reports relevant for the pathologist''s practice.