Literature DB >> 28643145

The prognostic value of volume-based parameters using 18F-FDG PET/CT in gastric cancer according to HER2 status.

Ji Soo Park1, Nare Lee2, Seung Hoon Beom3, Hyo Song Kim3, Choong-Kun Lee3, Sun Young Rha3, Hyun Cheol Chung3, Mijin Yun4, Arthur Cho5, Minkyu Jung6.   

Abstract

BACKGROUND: We aimed to find the clinical value of metastatic tumor burden evaluated with F18-FDG PET/CT in gastric cancer patients, considering the human epidermal growth factor receptor 2 (HER2) status.
METHODS: We retrospectively reviewed 124 patients with locally advanced or metastatic gastric cancer at Yonsei Cancer Center between January 2006 and December 2014 who had undergone baseline FDG PET/CT before first-line chemotherapy. We measured the maximum standardized uptake value from the primary tumor (SUVmax) and whole-body (WB) PET/CT parameters, including WB SUVmax, WB SUVmean, WB metabolic tumor volume (WB MTV), and WB total lesion glycolysis (WB TLG), in all metabolically active metastatic lesions (SUV threshold ≥2.5 or 40% isocontour for ≤2.5), and we determined their association with patient survival outcomes.
RESULTS: SUVmax was higher in HER2-positive gastric cancers (median 12.1, range 3.4-34.6) compared to HER-2 negative (7.4, 1.6-39.1, P < 0.001). Among all patients, WB TLG > 600, which is indicative of a high metastatic tumor burden, showed worse progression-free survival (PFS) [hazard ratio (HR), 2.003; 95% CI, 1.300-3.086; P = 0.002] and overall survival (OS) (HR, 3.001; 95% CI, 1.950-4.618; P < 0.001) than did WB TLG ≤ 600. Among HER2-positive gastric cancer patients treated with trastuzumab, higher metabolic tumor burden predicted worse OS, but not PFS.
CONCLUSIONS: HER2-positive gastric cancers had higher SUVmax compared to HER2-negative gastric cancers. In both HER2-negative patients and -positive patients receiving trastuzumab, FDG PET/CT volume-based parameters may have a role in further stratifying the prognosis of stage IV gastric cancer.

Entities:  

Keywords:  FDG; Gastric cancer; HER2; PET/CT; Volume-based parameter

Mesh:

Substances:

Year:  2017        PMID: 28643145     DOI: 10.1007/s10120-017-0739-0

Source DB:  PubMed          Journal:  Gastric Cancer        ISSN: 1436-3291            Impact factor:   7.370


  32 in total

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Journal:  J Nucl Med       Date:  2010-11-15       Impact factor: 10.057

2.  Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomised controlled trial.

Authors:  Yung-Jue Bang; Eric Van Cutsem; Andrea Feyereislova; Hyun C Chung; Lin Shen; Akira Sawaki; Florian Lordick; Atsushi Ohtsu; Yasushi Omuro; Taroh Satoh; Giuseppe Aprile; Evgeny Kulikov; Julie Hill; Michaela Lehle; Josef Rüschoff; Yoon-Koo Kang
Journal:  Lancet       Date:  2010-08-19       Impact factor: 79.321

3.  A randomized phase II trial of S-1-oxaliplatin versus capecitabine-oxaliplatin in advanced gastric cancer.

Authors:  Gun Min Kim; Hei-Cheul Jeung; Sun Young Rha; Hyo Song Kim; Inkyung Jung; Byung Ho Nam; Kyung Hee Lee; Hyun Cheol Chung
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4.  Predictive value of pretreatment metabolic activity measured by fluorodeoxyglucose positron emission tomography in patients with metastatic advanced gastric cancer: the maximal SUV of the stomach is a prognostic factor.

Authors:  Jun Chul Park; Jae-Hoon Lee; Kungseok Cheoi; Hyunsoo Chung; Mi Jin Yun; Hyuk Lee; Sung Kwan Shin; Sang Kil Lee; Yong Chan Lee
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-04-18       Impact factor: 9.236

5.  Optimal Patient Selection for Trastuzumab Treatment in HER2-Positive Advanced Gastric Cancer.

Authors:  Chan-Young Ock; Keun-Wook Lee; Jin Won Kim; Jin-Soo Kim; Tae-Yong Kim; Kyung-Hun Lee; Sae-Won Han; Seock-Ah Im; Tae-You Kim; Woo Ho Kim; Yung-Jue Bang; Do-Youn Oh
Journal:  Clin Cancer Res       Date:  2015-02-23       Impact factor: 12.531

6.  Prognostic value and clinical correlations of 18-fluorodeoxyglucose metabolism quantifiers in gastric cancer.

Authors:  Kinga Grabinska; Maciej Pelak; Jerzy Wydmanski; Andrzej Tukiendorf; Andrea d'Amico
Journal:  World J Gastroenterol       Date:  2015-05-21       Impact factor: 5.742

7.  18F-FDG PET/CT for early prediction of response to neoadjuvant lapatinib, trastuzumab, and their combination in HER2-positive breast cancer: results from Neo-ALTTO.

Authors:  Geraldine Gebhart; Cristina Gámez; Eileen Holmes; Javier Robles; Camilo Garcia; Montserrat Cortés; Evandro de Azambuja; Karine Fauria; Veerle Van Dooren; Gursel Aktan; Maria Antonia Coccia-Portugal; Sung-Bae Kim; Peter Vuylsteke; Hervé Cure; Holger Eidtmann; José Baselga; Martine Piccart; Patrick Flamen; Serena Di Cosimo
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8.  Assessment of a HER2 scoring system for gastric cancer: results from a validation study.

Authors:  M Hofmann; O Stoss; D Shi; R Büttner; M van de Vijver; W Kim; A Ochiai; J Rüschoff; T Henkel
Journal:  Histopathology       Date:  2008-04-18       Impact factor: 5.087

9.  FDG PET imaging of locally advanced gastric carcinomas: correlation with endoscopic and histopathological findings.

Authors:  Alexander Stahl; Katja Ott; Wolfgang Andreas Weber; Karen Becker; Thomas Link; Jörg-Rüdiger Siewert; Markus Schwaiger; Ulrich Fink
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Review 10.  Metabolic Imaging to Assess Treatment Response to Cytotoxic and Cytostatic Agents.

Authors:  Natalie J Serkova; S Gail Eckhardt
Journal:  Front Oncol       Date:  2016-07-15       Impact factor: 6.244

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2.  Volumetric parameters on 18F-FDG PET/CT predict the survival of patients with gastric cancer associated with their expression status of c-MET.

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4.  The Value of Predicting Human Epidermal Growth Factor Receptor 2 Status in Adenocarcinoma of the Esophagogastric Junction on CT-Based Radiomics Nomogram.

Authors:  Shuxing Wang; Yiqing Chen; Han Zhang; Zhiping Liang; Jun Bu
Journal:  Front Oncol       Date:  2021-10-14       Impact factor: 6.244

Review 5.  PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer.

Authors:  Danyu Ma; Ying Zhang; Xiaoliang Shao; Chen Wu; Jun Wu
Journal:  Curr Oncol       Date:  2022-09-11       Impact factor: 3.109

6.  Evaluation of Epidermal Growth Factor Receptor 2 Status in Gastric Cancer by CT-Based Deep Learning Radiomics Nomogram.

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Journal:  Front Oncol       Date:  2022-07-11       Impact factor: 5.738

7.  A CT-based radiomics nomogram for prediction of human epidermal growth factor receptor 2 status in patients with gastric cancer.

Authors:  Yexing Li; Zixuan Cheng; Olivier Gevaert; Lan He; Yanqi Huang; Xin Chen; Xiaomei Huang; Xiaomei Wu; Wen Zhang; Mengyi Dong; Jia Huang; Yucun Huang; Ting Xia; Changhong Liang; Zaiyi Liu
Journal:  Chin J Cancer Res       Date:  2020-02       Impact factor: 5.087

8.  Contrast-Enhanced CT Parameters of Gastric Adenocarcinoma: Can Radiomic Features Be Surrogate Biomarkers for HER2 Over-Expression Status?

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Journal:  Cancer Manag Res       Date:  2020-02-18       Impact factor: 3.989

  8 in total

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