Literature DB >> 35814937

Molecular Characterization of Upper Tract Urothelial Carcinoma for Precision Therapeutics and Non-invasive Diagnostics.

Emiko Sugawara1, Kei Koyama1, Kentaro Inamura1.   

Abstract

Entities:  

Year:  2022        PMID: 35814937      PMCID: PMC9199533          DOI: 10.2174/1389202923666220204155828

Source DB:  PubMed          Journal:  Curr Genomics        ISSN: 1389-2029            Impact factor:   2.689


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Newly developed high-throughput techniques have enabled us to classify various types of cancer into biologically and clinically meaningful subtypes. Fujii et al. recently conducted a comprehensive genomic characterization of 199 samples of upper urinary tract urothelial carcinomas (UTUCs) and provided new insights into the pathogenesis and heterogeneous nature of this largely unexplored cancer [1]. UTUCs are cancers that arise from the epithelial cells lining the renal pelvis and ureter, comprising 5%-10% of all urothelial malignancies. They are less prevalent than urothelial bladder carcinomas (UBCs) and are considered more clinically aggressive; two-thirds of UTUC patients present an invasive disease as compared to 15%-25% of UBC patients [2]. UTUCs are frequently associated with poor prognosis, which may be attributable not only to biological aggressiveness but also to the difficulty in early detection. Because minimally- or non-invasive urinary cytology is less sensitive to establishing a conclusive diagnosis for UTUCs (41% vs. 86% for UBCs), UTUCs require more invasive procedures for definitive diagnosis [3, 4]. Therefore, there is a pressing need to develop non-invasive techniques that allow for the early detection of UTUCs. Recently, sequencing of urine-derived DNA has emerged as a promising non-invasive approach for diagnosing urothelial cancer; however, limited studies have explored its potential regarding molecular diagnostics and prognostication of UTUCs [5, 6]. In 2021, Fujii et al. performed comprehensive molecular analyses of UTUCs, based on which they delineated the molecular pathogenesis of UTUCs in terms of gene mutations, copy number alterations, DNA methylation, and gene expression [1]. In addition to the comprehensive molecular characterization of UTUCs, they shed light on the diagnostic value of sequencing urine-derived DNA for non-invasive detection and molecular classification of UTUCs. The comprehensive molecular examination classified UTUCs into five molecular subtypes: TP53/MDM2-mutated, RAS gene-mutated, FGFR3-mutated, triple-negative, and hypermutated subtypes. The TP53/MDM2-mutated subtype was the largest UTUC subtype (37.7%; 75/199), characterized by TP53 mutations or MDM2 amplification, and typically enriched in invasive tumors. In accordance with a prior report [7], this subtype displayed the most aggressive phenotype, having a high frequency of metastasis (40.0%) and the shortest disease-specific survival. The FGFR3-mutated subtype, constituting 35.2% (70/199) of the cohort samples, was defined by FGFR3 hotspot mutations and characterized by a high frequency of co-occurring mutations in the TERT promoter, STAG2, PIK3CA, and KDM6A. Clinicopathologically, this subtype was enriched for early-stage disease, low-grade histology with papillary morphology, and a favorable prognosis. The RAS gene-mutated subtype, constituting 15.1% (30/199) of the cohort, was defined by hotspot mutations in RAS family genes (i.e., HRAS, KRAS, and NRAS). This subtype harbored the lowest mutational burden and exhibited frequent mutations of TERT promoter (70.0%) and DDX17 (26.7%), along with copy number alterations involving chromosomes 3, 8, 9, 19, and 20. This subtype was characterized by patients’ smoking history, young age at diagnosis, renal pelvis localization, and squamous cell differentiation. The survival rate of the RAS gene-mutated subtype was intermediate, that is, better than that of TP53/MDM2-mutated or triple-negative subtypes and worse than that of FGFR3-mutated or hypermutated subtypes. The hypermutated subtype, which was defined by extremely large numbers of mutations, constituted 5.5% (11/199) of the cohort samples. This subtype was characterized by a high frequency of FGFR3 mutations and excellent disease-specific survival. Among the 11 cases of the hypermutated subtype, 8 showed biallelic defects in mismatch repair genes, and 6 of the 8 cases had a prior history of cancer, implying Lynch syndrome. The triple-negative subtype, which accounted for 6.5% (13/199) of the cohort, lacked any specific subtype-defining gene mutations (i.e., TP53/MDM2, FGFR3, and RAS genes) or hypermutations. Patients with this subtype showed a low disease-specific survival comparable to that of the TP53/MDM2-mutated subtype. These DNA-based molecular subtypes were highly correlated with clinicopathological features, such as tumor localization/histology, patient profile, and survival [1]. Furthermore, this novel molecular classification has clinical implications that might aid in making better therapeutic choices. With the advent of immune checkpoint inhibitors and targeted therapy, pharmaceutical intervention for urothelial carcinoma has evolved drastically. FGFR inhibitors may be effective for patients with FGFR3-mutated and hypermutated subtypes. The hypermutated and TP53/MDM2-mutated subtypes are characterized by high tumor mutation loads; therefore, patients with these subtypes may benefit from immune checkpoint inhibitors. The cohort samples were also subclassified based on gene expression or DNA methylation signatures [1]. In line with a previous study [8], a substantial portion of the UTUC cases was characterized by increased expressions of “luminal” markers (e.g., UPK2 and GATA3), while “basal” and “squamous” markers (e.g., KRT5 and TP63) were upregulated in the others [1]. Unsupervised clustering was performed on the basis of the DNA methylation status of tumor-specific CpG islands; however, there existed no significant association between the methylation signatures and patient survival [1]. Overall, UTUCs and UBCs have a similar mutational signature in driver genes; however, the mutation frequency of some genes, such as KMT2D, varies [1, 9]. Interestingly, the mutation frequency of KMT2D is higher in the phenotypically normal epithelium of the ureter (33%) than in that of the bladder (9%), which corresponds to the difference in the mutation frequency of KMT2D between ureter and bladder carcinomas (85% vs. 25%) [10, 11]. The shared mutation frequency between phenotypically normal urothelium and urothelial carcinoma suggests differences in field cancerization of the urothelium. Importantly, this study revealed the feasibility of urine-derived DNA sequencing to identify molecular subtypes in UTUCs [1]. Overall, 67% of mutations and 96% of focal copy number alterations observed in primary tumors were also detected in preoperative urine samples, but none were found in postoperative urine samples from the same patients. When comparing the sensitivity and specificity for cancer detection, urine-derived DNA sequencing showed superiority (82% sensitivity and 100% specificity) over urinary cytology (33% and 89%, respectively). Due to the anatomical location of UTUCs, it is sometimes challenging to obtain adequate UTUC tissue through biopsy, contributing to the worse survival rate of UTUC patients than that of UBC patients. This urine-based “liquid biopsy” may enable us to categorize UTUC patients according to tumor molecular characteristics and provide them with the most effective therapeutic intervention. Furthermore, this non-invasive technique would assist in the therapeutic decision for inoperable UTUC patients and allow longitudinal follow-up of these patients [1], thus, helping the expansion of the frontiers of precision therapeutics and non-invasive diagnostics for UTUCs.
  11 in total

1.  Urinary cytology has a poor performance for predicting invasive or high-grade upper-tract urothelial carcinoma.

Authors:  Jamie Messer; Shahrokh F Shariat; James C Brien; Michael P Herman; Casey K Ng; Douglas S Scherr; Benjamin Scoll; Robert G Uzzo; Mark Wille; Scott E Eggener; Gary Steinberg; John D Terrell; Steven M Lucas; Yair Lotan; Stephen A Boorjian; Jay D Raman
Journal:  BJU Int       Date:  2011-02-14       Impact factor: 5.588

2.  The predictive value of positive urine cytology for outcomes following radical nephroureterectomy in patients with primary upper tract urothelial carcinoma: a multi-institutional study.

Authors:  Nobuyuki Tanaka; Eiji Kikuchi; Kent Kanao; Kazuhiro Matsumoto; Suguru Shirotake; Hiroaki Kobayashi; Yasumasa Miyazaki; Hiroki Ide; Jun Obata; Katsura Hoshino; Nozomi Hayakawa; Takeo Kosaka; Masafumi Oyama; Akira Miyajima; Tetsuo Momma; Ken Nakagawa; Masahiro Jinzaki; Yosuke Nakajima; Mototsugu Oya
Journal:  Urol Oncol       Date:  2013-09-18       Impact factor: 3.498

3.  Macroscopic somatic clonal expansion in morphologically normal human urothelium.

Authors:  Ruoyan Li; Yiqing Du; Zhanghua Chen; Deshu Xu; Tianxin Lin; Shanzhao Jin; Gongwei Wang; Ziyang Liu; Min Lu; Xu Chen; Tao Xu; Fan Bai
Journal:  Science       Date:  2020-10-02       Impact factor: 47.728

4.  Clonal Relatedness and Mutational Differences between Upper Tract and Bladder Urothelial Carcinoma.

Authors:  François Audenet; Sumit Isharwal; Eugene K Cha; Mark T A Donoghue; Esther N Drill; Irina Ostrovnaya; Eugene J Pietzak; John P Sfakianos; Aditya Bagrodia; Paari Murugan; Guido Dalbagni; Timothy F Donahue; Jonathan E Rosenberg; Dean F Bajorin; Maria E Arcila; Jaclyn F Hechtman; Michael F Berger; Barry S Taylor; Hikmat Al-Ahmadie; Gopa Iyer; Bernard H Bochner; Jonathan A Coleman; David B Solit
Journal:  Clin Cancer Res       Date:  2018-10-23       Impact factor: 12.531

5.  Diagnostic potential of TERT promoter and FGFR3 mutations in urinary cell-free DNA in upper tract urothelial carcinoma.

Authors:  Yujiro Hayashi; Kazutoshi Fujita; Kyosuke Matsuzaki; Makoto Matsushita; Norihiko Kawamura; Yoko Koh; Kosuke Nakano; Cong Wang; Yu Ishizuya; Yoshiyuki Yamamoto; Kentaro Jingushi; Taigo Kato; Atsunari Kawashima; Takeshi Ujike; Akira Nagahara; Motohide Uemura; Ryoichi Imamura; Tetsuya Takao; Shingo Takada; George J Netto; Norio Nonomura
Journal:  Cancer Sci       Date:  2019-04-07       Impact factor: 6.716

6.  Upper tract urothelial carcinoma has a luminal-papillary T-cell depleted contexture and activated FGFR3 signaling.

Authors:  Brian D Robinson; Panagiotis J Vlachostergios; Bhavneet Bhinder; Weisi Liu; Kailyn Li; Tyler J Moss; Rohan Bareja; Kyung Park; Peyman Tavassoli; Joanna Cyrta; Scott T Tagawa; David M Nanus; Himisha Beltran; Ana M Molina; Francesca Khani; Juan Miguel Mosquera; Evanguelos Xylinas; Shahrokh F Shariat; Douglas S Scherr; Mark A Rubin; Seth P Lerner; Surena F Matin; Olivier Elemento; Bishoy M Faltas
Journal:  Nat Commun       Date:  2019-07-05       Impact factor: 14.919

7.  Molecular classification and diagnostics of upper urinary tract urothelial carcinoma.

Authors:  Yoichi Fujii; Yusuke Sato; Hiromichi Suzuki; Nobuyuki Kakiuchi; Tetsuichi Yoshizato; Andrew T Lenis; Shigekatsu Maekawa; Akira Yokoyama; Yasuhide Takeuchi; Yoshikage Inoue; Yotaro Ochi; Yusuke Shiozawa; Kosuke Aoki; Kenichi Yoshida; Keisuke Kataoka; Masahiro M Nakagawa; Yasuhito Nannya; Hideki Makishima; Jimpei Miyakawa; Taketo Kawai; Teppei Morikawa; Yuichi Shiraishi; Kenichi Chiba; Hiroko Tanaka; Genta Nagae; Masashi Sanada; Eiji Sugihara; Taka-Aki Sato; Tohru Nakagawa; Masashi Fukayama; Tetsuo Ushiku; Hiroyuki Aburatani; Satoru Miyano; Jonathan A Coleman; Yukio Homma; David B Solit; Haruki Kume; Seishi Ogawa
Journal:  Cancer Cell       Date:  2021-06-14       Impact factor: 38.585

8.  Non-invasive detection of urothelial cancer through the analysis of driver gene mutations and aneuploidy.

Authors:  Simeon U Springer; Chung-Hsin Chen; Maria Del Carmen Rodriguez Pena; Lu Li; Christopher Douville; Yuxuan Wang; Joshua David Cohen; Diana Taheri; Natalie Silliman; Joy Schaefer; Janine Ptak; Lisa Dobbyn; Maria Papoli; Isaac Kinde; Bahman Afsari; Aline C Tregnago; Stephania M Bezerra; Christopher VandenBussche; Kazutoshi Fujita; Dilek Ertoy; Isabela W Cunha; Lijia Yu; Trinity J Bivalacqua; Arthur P Grollman; Luis A Diaz; Rachel Karchin; Ludmila Danilova; Chao-Yuan Huang; Chia-Tung Shun; Robert J Turesky; Byeong Hwa Yun; Thomas A Rosenquist; Yeong-Shiau Pu; Ralph H Hruban; Cristian Tomasetti; Nickolas Papadopoulos; Ken W Kinzler; Bert Vogelstein; Kathleen G Dickman; George J Netto
Journal:  Elife       Date:  2018-03-20       Impact factor: 8.140

9.  A Consensus Molecular Classification of Muscle-invasive Bladder Cancer.

Authors:  Aurélie Kamoun; Aurélien de Reyniès; Yves Allory; Gottfrid Sjödahl; A Gordon Robertson; Roland Seiler; Katherine A Hoadley; Clarice S Groeneveld; Hikmat Al-Ahmadie; Woonyoung Choi; Mauro A A Castro; Jacqueline Fontugne; Pontus Eriksson; Qianxing Mo; Jordan Kardos; Alexandre Zlotta; Arndt Hartmann; Colin P Dinney; Joaquim Bellmunt; Thomas Powles; Núria Malats; Keith S Chan; William Y Kim; David J McConkey; Peter C Black; Lars Dyrskjøt; Mattias Höglund; Seth P Lerner; Francisco X Real; François Radvanyi
Journal:  Eur Urol       Date:  2019-09-26       Impact factor: 20.096

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