Literature DB >> 17555395

Patterns of recurrence and surveillance strategies for renal cell carcinoma following surgical resection.

Alberto Breda1, Ramdev Konijeti, John S Lam.   

Abstract

Renal cell carcinoma (RCC) remains one of the most lethal urologic malignancies, with up to 40% of patients eventually dying of cancer progression. Despite advances in the diagnosis, staging and treatment of patients with RCC, approximately a third of patients who undergo surgery for clinically localized RCC will suffer a recurrence. Timely identification of recurrences following surgical extirpation is imperative in the treatment of these patients. RCC is known to metastasize through hematogenous routes of spread to distant organ sites and via lymphatic channels to regional lymph nodes. The path of tumor escape is associated with diverse clinical outcomes and a unique tumor biology. A consensus on surveillance regimens for patients following surgical resection of localized disease is lacking. The most extensively used system for providing prognostic information regarding survival and recurrence of disease has historically been the tumor-node-metastasis (TNM) classification system. As a result, most contemporary surveillance protocols have tailored follow-up regimens according to stage-based stratifications. Numerous studies have recently demonstrated that certain clinical and histopathological factors can improve the prediction of tumor recurrence. The incorporation of these prognostic factors into stage-based stratification models should be better than stage alone in attempting to provide a rational approach to identifying treatable recurrences while minimizing unnecessary exams and tests, as well as patient anxiety. Advances in the understanding of the pathogenesis, behavior and molecular biology of RCC have paved the way for developments that may enhance early diagnosis and prognostication, and improve survival for patients. Lastly, molecular markers should, in the future, revolutionize surveillance protocols for RCC by tailoring follow-up to specific molecular classifications.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17555395     DOI: 10.1586/14737140.7.6.847

Source DB:  PubMed          Journal:  Expert Rev Anticancer Ther        ISSN: 1473-7140            Impact factor:   4.512


  11 in total

1.  Immunohistochemical expression levels of p53 and eIF4E markers in histologically negative surgical margins, and their association with the clinical outcome of patients with head and neck squamous cell carcinoma.

Authors:  Jagtar Singh; Rama Jayaraj; Siddhartha Baxi; Mariana Mileva; John Skinner; Navneet K Dhand; Mahiban Thomas
Journal:  Mol Clin Oncol       Date:  2015-12-01

2.  HuR expression is a marker of poor prognosis in renal cell carcinoma.

Authors:  Hanna Ronkainen; Markku H Vaarala; Pasi Hirvikoski; Ari Ristimäki
Journal:  Tumour Biol       Date:  2010-12-16

Review 3.  Predictive models for the practical management of renal cell carcinoma.

Authors:  Lui Shiong Lee; Min-Han Tan
Journal:  Nat Rev Urol       Date:  2012-01-10       Impact factor: 14.432

4.  Local Recurrence Following Resection of Intermediate-High Risk Nonmetastatic Renal Cell Carcinoma: An Anatomical Classification and Analysis of the ASSURE (ECOG-ACRIN E2805) Adjuvant Trial.

Authors:  Ziho Lee; Opeyemi A Jegede; Naomi B Haas; Michael R Pins; Edward M Messing; Judith Manola; Christopher G Wood; Christopher J Kane; Michael A S Jewett; Keith T Flaherty; Janice P Dutcher; Robert S DiPaola; Robert G Uzzo
Journal:  J Urol       Date:  2019-10-09       Impact factor: 7.450

5.  MiR-216a exerts tumor-suppressing functions in renal cell carcinoma by targeting TLR4.

Authors:  Wanhui Wang; Enyang Zhao; Yang Yu; Bo Geng; Wenfu Zhang; Xuedong Li
Journal:  Am J Cancer Res       Date:  2018-03-01       Impact factor: 6.166

6.  Renal cell carcinomas mass of <4 cm are not always indolent.

Authors:  Nessn H Azawi; Lars Lund; Mikkel Fode
Journal:  Urol Ann       Date:  2017 Jul-Sep

7.  Long-term oncologic outcomes of positive surgical margins following robot-assisted partial nephrectomy.

Authors:  Michael B Rothberg; Taylor C Peak; Christopher R Reynolds; Ashok K Hemal
Journal:  Transl Androl Urol       Date:  2020-04

8.  Polydatin exerts anti-tumor effects against renal cell carcinoma cells via induction of caspase-dependent apoptosis and inhibition of the PI3K/Akt pathway.

Authors:  Yi-Li Jin; Li-Min Xin; Chang-Chun Zhou; Yu Ren
Journal:  Onco Targets Ther       Date:  2018-11-16       Impact factor: 4.147

9.  Referral and adjuvant treatment patterns after nephrectomy in high-risk locoregional renal cell carcinoma.

Authors:  Hannah Dzimitrowicz; Elizabeth Esterberg; LaStella Miles; Giovanni Zanotti; Azah Borham; Michael R Harrison
Journal:  Cancer Med       Date:  2021-11-09       Impact factor: 4.452

10.  ADAM9 is highly expressed in renal cell cancer and is associated with tumour progression.

Authors:  Florian R Fritzsche; Kirsten Wassermann; Monika Jung; Angelika Tölle; Ilka Kristiansen; Michael Lein; Manfred Johannsen; Manfred Dietel; Klaus Jung; Glen Kristiansen
Journal:  BMC Cancer       Date:  2008-06-26       Impact factor: 4.430

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.