Literature DB >> 30653423

Randomized Phase II Trial Comparing Site-Specific Treatment Based on Gene Expression Profiling With Carboplatin and Paclitaxel for Patients With Cancer of Unknown Primary Site.

Hidetoshi Hayashi1, Takayasu Kurata1,2, Yuichi Takiguchi3, Makoto Arai3, Koji Takeda4, Kohei Akiyoshi4, Koji Matsumoto5, Takuma Onoe5, Hirofumi Mukai6, Nobuaki Matsubara6, Hironobu Minami7, Masanori Toyoda7, Yusuke Onozawa8, Akira Ono8, Yoshihiko Fujita1, Kazuko Sakai1, Yasuhiro Koh9, Ayano Takeuchi10, Yasuo Ohashi11, Kazuto Nishio1, Kazuhiko Nakagawa1.   

Abstract

PURPOSE: Although gene expression profiling is a promising diagnostic technique to determine the tissue of origin for patients with cancer of unknown primary site (CUP), no clinical trial has evaluated yet site-specific therapy directed by this approach compared with empirical chemotherapy. We therefore performed a randomized study to assess whether such site-specific therapy improves outcome compared with empirical chemotherapy in previously untreated patients with CUP. PATIENTS AND METHODS: Comprehensive gene expression profiling was performed by microarray analysis, and an established algorithm was applied to predict tumor origin. Patients with CUP were randomly assigned (1:1) to receive standard site-specific therapy or empirical paclitaxel and carboplatin (PC). The primary end point was 1-year survival rate.
RESULTS: One hundred thirty patients were randomly assigned and had sufficient biopsy tissue for molecular analysis. Efficacy analysis was performed for 50 and 51 patients in the site-specific therapy and empirical PC arms, respectively. Cancer types most commonly predicted were pancreatic (21%), gastric (21%), and lymphoma (20%). The 1-year survival rate was 44.0% and 54.9% for site-specific treatment and empirical PC ( P = .264), respectively. Median overall and progression-free survival were 9.8 and 5.1 months, respectively, for site-specific treatment versus 12.5 and 4.8 months for empirical PC ( P = .896 and .550, respectively). Median overall survival (16.7 v 10.6 months; P = .116) and progression-free survival (5.5 v 3.9 months; P = .018) were better for predicted more-responsive than less-responsive tumor types.
CONCLUSION: Site-specific treatment that was based on microarray profiling did not result in a significant improvement in 1-year survival compared with empirical PC, although prediction of the original site seemed to be of prognostic value.

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Year:  2019        PMID: 30653423     DOI: 10.1200/JCO.18.00771

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  30 in total

Review 1.  Progress in refining the clinical management of cancer of unknown primary in the molecular era.

Authors:  Elie Rassy; Nicholas Pavlidis
Journal:  Nat Rev Clin Oncol       Date:  2020-04-29       Impact factor: 66.675

2.  Molecular Profiles of Brain and Pulmonary Metastatic Disease in Cancer of Unknown Primary.

Authors:  Brianna R Bakow; Christopher P Elco; Mark LeGolvan; Don Dizon; Thomas A Ollila
Journal:  Oncologist       Date:  2020-04-20

3.  Impact of 18F-Fluorodeoxyglucose positron emission tomography on management of cancer of unknown primary: systematic review and meta-analysis.

Authors:  Sungmin Woo; Anton S Becker; Richard K G Do; Heiko Schöder; Hedvig Hricak; H Alberto Vargas
Journal:  Eur J Cancer       Date:  2021-11-02       Impact factor: 9.162

4.  Development and Validation of a Novel Nomogram for Individualized Prediction of Survival in Cancer of Unknown Primary.

Authors:  Kanwal Raghav; Hyunsoo Hwang; Alexandre A Jácome; Eric Bhang; Anneleis Willett; Ryan W Huey; Nishat P Dhillon; Jignesh Modha; Brandon Smaglo; Aurelio Matamoros; Jeannelyn S Estrella; Justin Jao; Michael J Overman; Xuemei Wang; F Anthony Greco; Jonathan M Loree; Gauri R Varadhachary
Journal:  Clin Cancer Res       Date:  2021-04-15       Impact factor: 12.531

Review 5.  Cancer of Unknown Primary in the Molecular Era.

Authors:  Shumei Kato; Ahmed Alsafar; Vighnesh Walavalkar; John Hainsworth; Razelle Kurzrock
Journal:  Trends Cancer       Date:  2021-01-28

6.  A Challenging Task: Identifying Patients with Cancer of Unknown Primary (CUP) According to ESMO Guidelines: The CUPISCO Trial Experience.

Authors:  Holger Moch; Alwin Krämer; Chantal Pauli; Tilmann Bochtler; Linda Mileshkin; Giulia Baciarello; Ferran Losa; Jeffrey S Ross; George Pentheroudakis; George Zarkavelis; Suayib Yalcin; Mustafa Özgüroğlu; Andreas Beringer; Jeremy Scarato; Mathis Mueller-Ohldach; Marlene Thomas
Journal:  Oncologist       Date:  2021-03-25

7.  Insights from the genetic and transcriptional characterization of a cancer of unknown primary (CUP).

Authors:  Veronica Davalos; Manel Esteller
Journal:  EMBO Mol Med       Date:  2020-06-17       Impact factor: 12.137

Review 8.  Sharing Marks: H3K4 Methylation and H2B Ubiquitination as Features of Meiotic Recombination and Transcription.

Authors:  Joan Serrano-Quílez; Sergi Roig-Soucase; Susana Rodríguez-Navarro
Journal:  Int J Mol Sci       Date:  2020-06-25       Impact factor: 5.923

9.  Sentinel node theory helps tracking of primary lesions of cancers of unknown primary.

Authors:  Yilin Shao; Xin Liu; Silong Hu; Yingjian Zhang; Wentao Li; Xiaoyan Zhou; Qifeng Wang; Yifeng Hou; Yong Chen; Yanli Wang; Yaohui Wang; Zhiguo Luo; Xichun Hu
Journal:  BMC Cancer       Date:  2020-07-09       Impact factor: 4.430

10.  Cancer of Unknown Primary (CUP): genetic evidence for a novel nosological entity? A case report.

Authors:  Silvia Benvenuti; Melissa Milan; Elena Geuna; Alberto Pisacane; Rebecca Senetta; Gennaro Gambardella; Giulia M Stella; Filippo Montemurro; Anna Sapino; Carla Boccaccio; Paolo M Comoglio
Journal:  EMBO Mol Med       Date:  2020-06-08       Impact factor: 12.137

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