Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
Department of Urology, Karolinska University Hospital, Stockholm, Sweden.
BJU Int. 2022 Jul;130(1):92-101. doi: 10.1111/bju.15566. Epub 2021 Aug 29.
To investigate gene alterations as diagnostic and prognostic markers in upper tract urothelial carcinoma (UTUC).
Patients with UTUC who underwent nephroureterectomy between 2005 and 2012 were followed until November 2020. DNA was extracted from paraffin-embedded tumour tissue. Next-generation sequencing using a 388-gene panel was performed. First a blinded analysis using principal component analysis and hierarchical clustering was used to search for patterns of mutations. Then a comparative analysis using analysis of variance (ANOVA) was used to search for mutations enriched in groups of various grades, stages, and survival. In addition, careful manual annotation was used to identify pathogenic mutations over-represented in tumours of high grade/stage and/or poor survival.
A total of 39 patients were included. All tumour stages and grades were represented in the cohort. The median follow-up was 10.6 years. In all, 11 patients died from UTUC during the follow-up. Tumour mutational burden showed a statistically significant correlation with stage, grade, and stage + grade. Grade 1, Grade 2, and Grade 3 tumours had different mutational patterns. Patients who died from UTUC had pathogenic mutations in specific genes e.g. tumour protein p53 (TP53) and HRas proto-oncogene, GTPase (HRAS). Patients with Ta Grade 1 tumours with a known pathogenic fibroblast growth factor receptor 3 (FGFR3) mutation did not die from UTUC.
The genetic analysis was highly concordant with histopathological features and added prognostic information in some cases. Thus, results from genomic profiling may contribute to the choice of treatment and follow-up regimens in the future.
研究基因改变作为上尿路上皮癌(UTUC)的诊断和预后标志物。
2005 年至 2012 年间接受肾输尿管切除术的 UTUC 患者随访至 2020 年 11 月。从石蜡包埋肿瘤组织中提取 DNA。使用 388 基因panel 进行下一代测序。首先使用主成分分析和层次聚类进行盲法分析,以搜索突变模式。然后使用方差分析(ANOVA)进行比较分析,以搜索在不同分级、分期和生存组中富集的突变。此外,还使用仔细的手动注释来识别高级别/分期和/或生存不良的肿瘤中过度表达的致病性突变。
共纳入 39 例患者。队列中包括所有肿瘤分期和分级。中位随访时间为 10.6 年。在随访期间,共有 11 例患者死于 UTUC。肿瘤突变负担与分期、分级和分期+分级呈统计学显著相关。1 级、2 级和 3 级肿瘤具有不同的突变模式。死于 UTUC 的患者在特定基因中存在致病性突变,例如肿瘤蛋白 p53(TP53)和 HRas 原癌基因,GTP 酶(HRAS)。已知存在致病性成纤维细胞生长因子受体 3(FGFR3)突变的 Ta 级 1 肿瘤患者未死于 UTUC。
遗传分析与组织病理学特征高度一致,并在某些情况下提供了预后信息。因此,基因组分析结果可能有助于未来治疗和随访方案的选择。