Literature DB >> 27382922

Patterns of Recurrence in Upper Tract Transitional Cell Carcinoma: Imaging Surveillance.

Yun Mao1, Aoife Kilcoyne2, Sandeep Hedgire2, Mark A Preston3, Francis J McGovern4, Douglas M Dahl4, Mukesh Harisinghani2.   

Abstract

OBJECTIVE: The objective of our study was to evaluate recurrence patterns of upper tract transitional cell carcinomas (UT-TCCs) after radical nephroureterectomy (RNU).
MATERIALS AND METHODS: Sixty-eight patients (mean age, 78 years; 34 men and 34 women) with UT-TCC after having undergone RNU from 2001 to 2008 were included in this study. Radiologic examinations and clinical notes were reviewed to record tumor location, tumor morphology, histologic T stages and grades, lymphovascular invasion (LVI) status, and surgical procedures. Five-year imaging and clinical follow-up (2001-2013) findings were noted at 3, 6, 12, 18, 24, 36, 48, 60, and more than 60 months after RNU for recurrence pattern and tumor-free survival. Kaplan-Meier survival curves and Cox regression models were used to assess tumor-free survival and to perform a multivariate analysis.
RESULTS: Forty-one postoperative recurrences were noted in 20 patients. The mean time to relapse was 16 months, and time to relapse ranged from 1 to 66 months. Tumor site (multifocal lesions involving both renal collecting system and ureter), tumor morphology (mass), T stage (muscle invasion [T2-T4]), histologic grade (grade 3), and the presence of LVI were identified as risk factors for postoperative recurrence in UT-TCC. T stage was the only independent risk factor.
CONCLUSION: Urinary tract, lymph node, liver, bone, and lung recurrences were common in patients with UT-TCC and were detected most frequently at 3-24 months. Tumor site, tumor morphology, T stage, grade, and LVI status were associated with recurrence after RNU. T stage was the only independent predictor of tumor-free survival. Close surveillance for extra-urinary tract recurrences in high-risk groups and a shorter-interval follow-up of the urinary tract in low-risk patients with adjuvant chemotherapy are recommended. Identifying recurrence patterns in UT-TCC can aid in planning an effective tailored imaging surveillance strategy.

Entities:  

Keywords:  cell carcinoma; nephroureterectomy; recurrence; transitional cell carcinoma; upper tract; upper tract transitional

Year:  2016        PMID: 27382922     DOI: 10.2214/AJR.16.16064

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  5 in total

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Authors:  Yen-Ting Wu; Hao Lun Luo; Hung Jen Wang; Yen Ta Chen; Yuan Tso Cheng; Po Hui Chiang
Journal:  Int Urol Nephrol       Date:  2020-01-29       Impact factor: 2.370

2.  Prognostic significance of BAP1 expression in high-grade upper tract urothelial carcinoma: a multi-institutional study.

Authors:  Ahmet M Aydin; Nirmish Singla; Vandana Panwar; Solomon L Woldu; Yuval Freifeld; Christopher G Wood; Jose A Karam; Alon Z Weizer; Jay D Raman; Mesut Remzi; Nathalie Rioux-Leclercq; Andrea Haitel; Marco Roscigno; Christian Bolenz; Karim Bensalah; Mary E Westerman; Arthur I Sagalowsky; Shahrokh F Shariat; Yair Lotan; Aditya Bagrodia; Payal Kapur; Vitaly Margulis; Laura-Maria Krabbe
Journal:  World J Urol       Date:  2019-02-13       Impact factor: 4.226

3.  Rapid recurrence of squamous cell carcinoma at a lymphocele after nephroureterectomy: A rare case report.

Authors:  Kosuke Ogawa; Yousuke Shimizu; Shoko Uketa; Noriaki Utsunomiya; Satsuki Asai; Misa Ishihara; Kimio Hashimoto; Sojun Kanamaru
Journal:  IJU Case Rep       Date:  2021-02-15

4.  Prospective Clinical Trial of the Oncologic Outcomes and Safety of Extraperitoneal Laparoscopic Extended Retroperitoneal Lymph Node Dissection at Time of Nephroureterectomy for Upper Tract Urothelial Carcinoma.

Authors:  Jiwei Huang; Hongyang Qian; Yichu Yuan; Xingyun Cai; Yonghui Chen; Jin Zhang; Wen Kong; Xiaorong Wu; Ming Cao; Yiran Huang; Haige Chen; Wei Xue
Journal:  Front Oncol       Date:  2022-02-24       Impact factor: 6.244

5.  Development and Validation of a Predictive Model to Evaluate the Risk of Bone Metastasis in Kidney Cancer.

Authors:  Shengtao Dong; Hua Yang; Zhi-Ri Tang; Yuqi Ke; Haosheng Wang; Wenle Li; Kang Tian
Journal:  Front Oncol       Date:  2021-11-25       Impact factor: 6.244

  5 in total

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