aCGH Analysis of Predictive Biomarkers for Response to Bevacizumab plus Oxaliplatin- or Irinotecan-Based Chemotherapy in Patients with Metastatic Colorectal Cancer.


Journal

The oncologist
ISSN: 1549-490X
Titre abrégé: Oncologist
Pays: England
ID NLM: 9607837

Informations de publication

Date de publication:
03 2019
Historique:
received: 27 02 2018
accepted: 05 09 2018
pubmed: 15 11 2018
medline: 4 6 2020
entrez: 15 11 2018
Statut: ppublish

Résumé

The randomized phase III study (WJOG4407G) showed equivalent efficacy between FOLFOX and FOLFIRI in combination with bevacizumab as the first-line treatment for metastatic colorectal cancer (mCRC). We studied whole genome copy number profiles using array-based comparative genomic hybridization (aCGH) analysis of tumor tissue samples obtained in this study. The aim of this study was to identify gene copy number alterations that could aid in selecting either FOLFOX or FOLFIRI in combination with bevacizumab for patients with mCRC. DNA was purified from 154 pretreatment formalin-fixed paraffin-embedded tissue samples (75 from the FOLFOX arm and 79 from the FOLFIRI arm) of 395 patients enrolled in the WJOG4407G trial and analyzed by aCGH. Genomic regions greater than 1.2-fold were regarded as copy number gain (CNG). Patient characteristics between the treatment arms were well balanced except for tumor laterality (left side; 64% in FOLFOX arm and 80% in FOLFIRI arm, Chromosome 8q24.1-q24.2 may contain genes that could potentially serve as predictive markers for selecting either FOLFOX or FOLFIRI in combination with bevacizumab for treatment of patients with mCRC. Bevacizumab has been used as a standard first-line treatment for patients with metastatic colorectal cancer (mCRC) in combination with either oxaliplatin-based or irinotecan-based chemotherapy. Until now, there has been no predictive marker to choose between the two combination chemotherapies. This array-based comparative genomic hybridization analysis revealed that the difference in therapeutic effect between the two combination chemotherapies is prominent in patients with mCRC with gene copy number gain in chromosome 8p24.1-p24.2. Such patients showed more favorable response and survival when treated with irinotecan-based combination chemotherapy. Overlapping genes commonly found in this region may be predictive biomarkers of the efficacy of the combination chemotherapy with bevacizumab.

Sections du résumé

BACKGROUND
The randomized phase III study (WJOG4407G) showed equivalent efficacy between FOLFOX and FOLFIRI in combination with bevacizumab as the first-line treatment for metastatic colorectal cancer (mCRC). We studied whole genome copy number profiles using array-based comparative genomic hybridization (aCGH) analysis of tumor tissue samples obtained in this study. The aim of this study was to identify gene copy number alterations that could aid in selecting either FOLFOX or FOLFIRI in combination with bevacizumab for patients with mCRC.
MATERIALS AND METHODS
DNA was purified from 154 pretreatment formalin-fixed paraffin-embedded tissue samples (75 from the FOLFOX arm and 79 from the FOLFIRI arm) of 395 patients enrolled in the WJOG4407G trial and analyzed by aCGH. Genomic regions greater than 1.2-fold were regarded as copy number gain (CNG).
RESULTS
Patient characteristics between the treatment arms were well balanced except for tumor laterality (left side; 64% in FOLFOX arm and 80% in FOLFIRI arm,
CONCLUSION
Chromosome 8q24.1-q24.2 may contain genes that could potentially serve as predictive markers for selecting either FOLFOX or FOLFIRI in combination with bevacizumab for treatment of patients with mCRC.
IMPLICATIONS FOR PRACTICE
Bevacizumab has been used as a standard first-line treatment for patients with metastatic colorectal cancer (mCRC) in combination with either oxaliplatin-based or irinotecan-based chemotherapy. Until now, there has been no predictive marker to choose between the two combination chemotherapies. This array-based comparative genomic hybridization analysis revealed that the difference in therapeutic effect between the two combination chemotherapies is prominent in patients with mCRC with gene copy number gain in chromosome 8p24.1-p24.2. Such patients showed more favorable response and survival when treated with irinotecan-based combination chemotherapy. Overlapping genes commonly found in this region may be predictive biomarkers of the efficacy of the combination chemotherapy with bevacizumab.

Identifiants

pubmed: 30425180
pii: theoncologist.2018-0119
doi: 10.1634/theoncologist.2018-0119
pmc: PMC6519767
doi:

Substances chimiques

Biomarkers 0
Oxaliplatin 04ZR38536J
Bevacizumab 2S9ZZM9Q9V
Irinotecan 7673326042

Types de publication

Clinical Trial, Phase III Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

327-337

Informations de copyright

© AlphaMed Press 2018.

Références

Nat Rev Cancer. 2008 Dec;8(12):976-90
pubmed: 19029958
Semin Cancer Biol. 2006 Aug;16(4):318-30
pubmed: 16934487
Mol Cancer. 2010 May 06;9:100
pubmed: 20459617
PLoS One. 2011;6(11):e27988
pubmed: 22132187
Oncogene. 2015 Jan 8;34(2):199-208
pubmed: 24362523
Carcinogenesis. 2004 Aug;25(8):1345-57
pubmed: 15001537
Cancer Res. 1998 Jan 15;58(2):283-9
pubmed: 9443406
BMC Cancer. 2013 Oct 29;13:505
pubmed: 24165089
PLoS One. 2014 Apr 02;9(4):e92553
pubmed: 24694993
BMC Cancer. 2015 Apr 09;15:242
pubmed: 25886454
J Pathol. 2010 Aug;221(4):411-24
pubmed: 20593488
Int J Cancer. 2014 Nov 1;135(9):2065-76
pubmed: 24643999
Genomics. 2005 Feb;85(2):280-3
pubmed: 15676287
N Engl J Med. 2004 Jun 3;350(23):2335-42
pubmed: 15175435
J Pathol. 2010 Feb;220(3):338-47
pubmed: 19911421
Br J Cancer. 2003 Nov 3;89(9):1757-65
pubmed: 14583781
Ann Oncol. 2016 Aug;27(8):1539-46
pubmed: 27177863
Mol Cancer. 2014 Aug 29;13:200
pubmed: 25174825
J Clin Oncol. 2005 Jun 1;23(16):3706-12
pubmed: 15867200
Neoplasma. 2015;62(6):881-6
pubmed: 26458320
PLoS One. 2015 Dec 17;10(12):e0144708
pubmed: 26678268

Auteurs

Yoshihiko Fujita (Y)

Department of Genome Biology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.

Masataka Taguri (M)

Department of Biostatistics, Yokohama City University School of Medicine, Japan.

Kentaro Yamazaki (K)

Division of Gastrointestinal Oncology, Shizuoka Cancer Center, Shizuoka, Japan.

Junji Tsurutani (J)

Department of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.

Kazuko Sakai (K)

Department of Genome Biology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.

Takahiro Tsushima (T)

Division of Gastrointestinal Oncology, Shizuoka Cancer Center, Shizuoka, Japan.

Michitaka Nagase (M)

Department of Clinical Oncology, Jichi Medical University, Shimotsuke, Japan.

Hiroshi Tamagawa (H)

Department of Surgery, Osaka General Medical Center, Osaka, Japan.

Shinya Ueda (S)

Department of Medical Oncology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.

Takao Tamura (T)

Department of Medical Oncology, Nara Hospital Kindai University Faculty of Medicine, Ikoma, Japan.

Yasushi Tsuji (Y)

Department of Medical Oncology, Tonan Hospital, Sapporo, Japan.

Kohei Murata (K)

Department of Surgery, Suita Municipal Hospital, Suita, Japan.

Koichi Taira (K)

Department of Clinical Oncology, Osaka City General Hospital, Osaka, Japan.

Tadamichi Denda (T)

Division of Gastroenterology, Chiba Cancer Center, Chiba, Japan.

Toshikazu Moriwaki (T)

Division of Gastroenterology, University of Tsukuba, Tsukuba, Japan.

Sadao Funai (S)

Department of Surgery, Sakai Hospital Kindai University Faculty of Medicine, Sakai, Japan.

Takako Eguchi Nakajima (TE)

Department of Clinical Oncology, St Marianna University School of Medicine, Kawasaki, Japan.

Kei Muro (K)

Department of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya, Japan.

Akihito Tsuji (A)

Department of Medical Oncology, Kochi Health Sciences Center, Kochi, Japan.

Motoki Yoshida (M)

Division of Cancer Chemotherapy Center, Osaka Medical College Hospital, Takatsuki, Japan.

Koichi Suyama (K)

Department of Medical Oncology, Toranomon Hospital, Tokyo, Japan.

Takuya Kurimoto (T)

Department of Gastrointestinal Oncology, Nagoya Kyoritsu Hospital, Nagoya, Japan.

Naotoshi Sugimoto (N)

Department of Clinical Oncology, Osaka Medical Center for Cancer and Cardiovascular Diseases, Osaka, Japan.

Eishi Baba (E)

Department of Comprehensive Clinical Oncology, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan.

Nobuhiko Seki (N)

Division of Medical Oncology, Department of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.

Mikio Sato (M)

Department of Gastroenterology and Hepatology, Ryugasaki Saiseikai Hospital, Ryugasaki, Japan.

Takaya Shimura (T)

Department of Gastroenterology and Metabolism, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.

Narikazu Boku (N)

Department of Clinical Oncology, St Marianna University School of Medicine, Kawasaki, Japan.

Ichinosuke Hyodo (I)

Division of Gastroenterology, University of Tsukuba, Tsukuba, Japan.

Takeharu Yamanaka (T)

Department of Biostatistics, Yokohama City University School of Medicine, Japan.

Kazuto Nishio (K)

Department of Genome Biology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan knishio@med.kindai.ac.jp.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH