Literature DB >> 25186283

Validation of mammalian target of rapamycin biomarker panel in patients with clear cell renal cell carcinoma.

Ahmed Q Haddad1, Payal Kapur, Nirmish Singla, Jay D Raman, Matthew T Then, Philipp Nuhn, Alexander Buchner, Patrick Bastian, Christian Seitz, Shahrokh F Shariat, Karim Bensalah, Nathalie Rioux-Leclercq, Arthur Sagalowsky, Yair Lotan, Vitaly Margulis.   

Abstract

BACKGROUND: This was an external validation of the prognostic benefit of mammalian target of rapamycin (mTOR) marker panel in patients with clear cell renal cell carcinoma (ccRCC).
METHODS: Immunohistochemistry for 5 mTOR pathway markers was performed on tissue microarrays of patients with nonmetastatic ccRCC treated surgically at 4 centers. The markers employed were phosphatase and tensin homolog (PTEN), phosphoinositide 3-kinase (PI3K), phosphorylated-mTOR (p-mTOR), phosphorylated-S6 (p-S6), and phosphorylated 4E-binding protein-1 (p-4EBP1). Cox regression was used to correlate marker status and oncologic outcomes. Discrimination of the models was determined using area under the curve and net reclassification improvement.
RESULTS: Five hundred twenty-eight patients with a median follow-up of 56.5 months were included. Expression of PI3K, PTEN, p-mTOR, p-4EBP1, and p-S6 was altered in 52%, 78%, 25%, 86%, and 30% of patients, respectively. The number of altered biomarkers predicted recurrence-free survival (RFS) in multivariate analysis adjusted for stage, grade, and lymph node status (HR, 3.20; P = .02 for patients with 4-5 altered biomarkers compared with 0-1 altered markers). A biomarker panel consisting of only 2 markers (p-S6 and p-4EBP1) independently predicted for worse RFS (HR, 4.38; P = .003 for patients with 2 altered markers compared to patients with 0 altered markers). The biomarker score increased predictive accuracy when added to the clinical Cox regression model.
CONCLUSIONS: m-TOR pathway biomarkers add prognostic information in addition to standard clinicopathologic variables in ccRCC patients and may identify patients who could benefit from additional treatments or closer postoperative surveillance.
© 2014 American Cancer Society.

Entities:  

Keywords:  biomarkers; mammalian target of rapamycin; renal cell carcinoma; validation

Mesh:

Substances:

Year:  2014        PMID: 25186283     DOI: 10.1002/cncr.28976

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  9 in total

Review 1.  Oncogenes strike a balance between cellular growth and homeostasis.

Authors:  Bo Qiu; M Celeste Simon
Journal:  Semin Cell Dev Biol       Date:  2015-08-13       Impact factor: 7.727

2.  HIF2α-Dependent Lipid Storage Promotes Endoplasmic Reticulum Homeostasis in Clear-Cell Renal Cell Carcinoma.

Authors:  Bo Qiu; Daniel Ackerman; Danielle J Sanchez; Bo Li; Joshua D Ochocki; Alison Grazioli; Ekaterina Bobrovnikova-Marjon; J Alan Diehl; Brian Keith; M Celeste Simon
Journal:  Cancer Discov       Date:  2015-03-31       Impact factor: 39.397

Review 3.  Resistance to Targeted Therapies in Renal Cancer: The Importance of Changing the Mechanism of Action.

Authors:  I Duran; J Lambea; P Maroto; J L González-Larriba; Luis Flores; S Granados-Principal; M Graupera; B Sáez; A Vivancos; O Casanovas
Journal:  Target Oncol       Date:  2017-02       Impact factor: 4.493

Review 4.  Tumour and patient factors in renal cell carcinoma-towards personalized therapy.

Authors:  Ahmed Q Haddad; Vitaly Margulis
Journal:  Nat Rev Urol       Date:  2015-04-14       Impact factor: 14.432

Review 5.  Postoperative surveillance imaging for patients undergoing nephrectomy for renal cell carcinoma.

Authors:  Eric H Kim; Seth A Strope
Journal:  Urol Oncol       Date:  2015-09-26       Impact factor: 3.498

Review 6.  Eukaryotic initiation factor 4E-binding protein 1 (4E-BP1): a master regulator of mRNA translation involved in tumorigenesis.

Authors:  J Musa; M F Orth; M Dallmayer; M Baldauf; C Pardo; B Rotblat; T Kirchner; G Leprivier; T G P Grünewald
Journal:  Oncogene       Date:  2016-02-01       Impact factor: 9.867

7.  Expression of micro-RNAs and genes related to angiogenesis in ccRCC and associations with tumor characteristics.

Authors:  Rita de Cássia Oliveira; Renato Fidelis Ivanovic; Katia Ramos Moreira Leite; Nayara Izabel Viana; Ruan César Aparecido Pimenta; José Pontes Junior; Vanessa Ribeiro Guimarães; Denis Reis Morais; Daniel Kanda Abe; Adriano João Nesrallah; Miguel Srougi; William Nahas; Sabrina Thalita Reis
Journal:  BMC Urol       Date:  2017-12-04       Impact factor: 2.264

8.  Characterization of the expression of LAT1 as a prognostic indicator and a therapeutic target in renal cell carcinoma.

Authors:  Kosuke Higuchi; Shinichi Sakamoto; Keisuke Ando; Maihulan Maimaiti; Nobushige Takeshita; Kentaro Okunushi; Yoshie Reien; Yusuke Imamura; Tomokazu Sazuka; Kazuyoshi Nakamura; Jun Matsushima; Tomomi Furihata; Yuzuru Ikehara; Tomohiko Ichikawa; Naohiko Anzai
Journal:  Sci Rep       Date:  2019-11-20       Impact factor: 4.379

9.  A three-molecule score based on Notch pathway predicts poor prognosis in non-metastasis clear cell renal cell carcinoma.

Authors:  Zheng Liu; Qiang Fu; Hangcheng Fu; Zewei Wang; Le Xu; Huimin An; Yanfeng Li; Jiejie Xu
Journal:  Oncotarget       Date:  2016-10-18
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.