Literature DB >> 27463889

Evaluation of erlotinib treatment response in non-small cell lung cancer using metabolic and anatomic criteria.

Alessandro Stefano1, Giorgio Russo, Massimo Ippolito, Sebastiano Cosentino, Gabriella Murè, Sara Baldari, Maria G Sabini, Daniele Sardina, Lucia M Valastro, Roberto Bordonaro, Cristina Messa, Maria C Gilardi, Hector Soto Parra.   

Abstract

BACKGROUND: In this paper the clinical value of PET for early prediction of tumor response to erlotinib in patients with advanced or metastatic non-small cell lung cancer (NSCLC) after failure of at least one prior chemotherapy regimen is evaluated. The aim was to compare the early metabolic treatment response using European Organization for Research and Treatment of Cancer (EORTC) 1999 recommendations and PET Response Criteria in Solid Tumors (PERCIST), and the standard treatment response using Response Evaluation Criteria in Solid Tumors (RECIST).
METHODS: Twenty patients with stage IV NSCLC were enrolled prospectively. PET/CT studies were performed before, then 48 hours, and 45 days after the initiation of erlotinib treatment. The lesion with the highest uptake in each patient was evaluated according to EORTC 1999 recommendations, PERCIST and RECIST to assess metabolic and anatomic response. Response classifications were compared statistically using Wilcoxon signed-rank test. Disease-free survival (DFS) and overall survival (OS) were calculated by the Kaplan-Meier Test.
RESULTS: At 48 hours, the Kaplan-Meier analysis showed that EORTC proved to be a significant prognostic factor for predicting DFS and OS. At 45 days, there was a significant difference in response evaluation between RECIST and metabolic classifications. RECIST and PERCIST were significant prognostic factors for predicting DFS and OS. EORTC was not able to discriminate responder from non-responder patients.
CONCLUSIONS: This study shows that, according to the EORTC protocol, the PET exam is able to provide early identification of patients who benefit from Erlotinib treatment. Used at the end of therapy, PERCIST could be considered an appropriate metabolic evaluation method to discriminate responders from non-responders.

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Year:  2014        PMID: 27463889

Source DB:  PubMed          Journal:  Q J Nucl Med Mol Imaging        ISSN: 1824-4785            Impact factor:   2.346


  6 in total

1.  An enhanced random walk algorithm for delineation of head and neck cancers in PET studies.

Authors:  Alessandro Stefano; Salvatore Vitabile; Giorgio Russo; Massimo Ippolito; Maria Gabriella Sabini; Daniele Sardina; Orazio Gambino; Roberto Pirrone; Edoardo Ardizzone; Maria Carla Gilardi
Journal:  Med Biol Eng Comput       Date:  2016-09-16       Impact factor: 2.602

Review 2.  Evaluating tumor response with FDG PET: updates on PERCIST, comparison with EORTC criteria and clues to future developments.

Authors:  Katja Pinker; Christopher Riedl; Wolfgang A Weber
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-03-30       Impact factor: 9.236

3.  Tyrosine Kinase Inhibitors for Non-Small Cell Lung Cancer and Eye Metastasis: Disease Relapse or a New Entity?

Authors:  Paul Zarogoulidis; Sofia Lampaki; Panos Chinelis; George Lazaridis; Sofia Baka; Aggeliki Rapti
Journal:  Med Hypothesis Discov Innov Ophthalmol       Date:  2016

4.  Evaluation of response to immune checkpoint inhibitors: Is there a role for positron emission tomography?

Authors:  Matteo Bauckneht; Roberta Piva; Gianmario Sambuceti; Francesco Grossi; Silvia Morbelli
Journal:  World J Radiol       Date:  2017-02-28

5.  Early [18]FDG PET/CT scan predicts tumor response in head and neck squamous cell cancer patients treated with erlotinib adjusted per smoking status.

Authors:  Mercedes Porosnicu; Anderson O'Brien Cox; Joshua D Waltonen; Paul M Bunch; Ralph D'Agostino; Thomas W Lycan; Richard Taylor; Dan W Williams; Xiaofei Chen; Kirtikar Shukla; Brian E Kouri; Tiffany Walker; Gregory Kucera; Hafiz S Patwa; Christopher A Sullivan; J Dale Browne; Cristina M Furdui
Journal:  Front Oncol       Date:  2022-08-30       Impact factor: 5.738

6.  Correlation between histological grade and positron emission tomography parameters in cervical carcinoma.

Authors:  Vanessa Mocciaro; Paolo Scollo; Alessandro Stefano; Stefania Gieri; Giorgio Russo; Giuseppe Scibilia; Sebastiano Cosentino; Gabriella Murè; Sara Baldari; Maria Gabriella Sabini; Filippo Fraggetta; Maria Carla Gilardi; Massimo Ippolito
Journal:  Oncol Lett       Date:  2016-06-23       Impact factor: 2.967

  6 in total

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