Literature DB >> 33436659

Prospective evaluation of metabolic intratumoral heterogeneity in patients with advanced gastric cancer receiving palliative chemotherapy.

Shin Hye Yoo1, Seo Young Kang2,3, Jeesun Yoon1, Tae-Yong Kim1,4, Gi Jeong Cheon2,3, Do-Youn Oh5,6.   

Abstract

Although metabolic intratumoral heterogeneity (ITH) gives important value on treatment responses and prognoses, its association with treatment outcomes have not been reported in gastric cancer (GC). We aimed to evaluate temporal changes in metabolic ITH and the associations with treatment responses, progression-free survival (PFS), and overall survival (OS) in advanced GC patients. Eighty-five patients with unresectable, locally advanced, or metastatic GC were prospectively enrolled before the first-line palliative chemotherapy and underwent [18F]FDG PET at baseline (TP1) and the first response follow-up evaluation (TP2). Standardized uptake values (SUVs), volumetric parameters, and textural features were evaluated in primary gastric tumor at TP1 and TP2. Of 85 patients, 44 had partial response, 33 had stable disease, and 8 progressed. From TP1 to TP2, metabolic ITH was significantly reduced (P < 0.01), and the degree of the decrease was greater in responders than in non-responders (P < 0.01). Using multiple Cox regression analyses, a low SUVmax at TP2, a high kurtosis at TP2 and larger decreases in the coefficient of variance were associated with better PFS. A low SUVmax at TP2, larger decreases in the metabolic tumor volume and larger decreased in the energy were associated with better OS. Age older than 60 years and responders also showed better OS. An early reduction in metabolic ITH is useful to predict treatment outcomes in advanced GC patients.

Entities:  

Year:  2021        PMID: 33436659      PMCID: PMC7804009          DOI: 10.1038/s41598-020-78963-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  35 in total

1.  Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma.

Authors:  Seung Hyup Hyun; Ho Seong Kim; Seong Ho Choi; Dong Wook Choi; Jong Kyun Lee; Kwang Hyuck Lee; Joon Oh Park; Kyung-Han Lee; Byung-Tae Kim; Joon Young Choi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-02-12       Impact factor: 9.236

2.  Identifying prognostic intratumor heterogeneity using pre- and post-radiotherapy 18F-FDG PET images for pancreatic cancer patients.

Authors:  Yong Yue; Arsen Osipov; Benedick Fraass; Howard Sandler; Xiao Zhang; Nicholas Nissen; Andrew Hendifar; Richard Tuli
Journal:  J Gastrointest Oncol       Date:  2017-02

Review 3.  Advanced gastric cancer: Current treatment landscape and future perspectives.

Authors:  Antonia Digklia; Anna Dorothea Wagner
Journal:  World J Gastroenterol       Date:  2016-02-28       Impact factor: 5.742

4.  The Predictive and Prognostic Value of Early Metabolic Response Assessed by Positron Emission Tomography in Advanced Gastric Cancer Treated with Chemotherapy.

Authors:  Chenchen Wang; Weijian Guo; Min Zhou; Xiaodong Zhu; Dongmei Ji; Wenhua Li; Xin Liu; Zhonghua Tao; Xiaowei Zhang; Yingjian Zhang; Jin Li
Journal:  Clin Cancer Res       Date:  2015-11-25       Impact factor: 12.531

5.  Prognostic value of pretreatment standardized uptake value of F-18-fluorodeoxyglucose PET in patients with gastric cancer: a meta-analysis.

Authors:  Zhonghua Wu; Junhua Zhao; Peng Gao; Yongxi Song; Jingxu Sun; Xiaowan Chen; Bin Ma; Zhenning Wang
Journal:  BMC Cancer       Date:  2017-04-17       Impact factor: 4.430

6.  Radiomic signature of 18F fluorodeoxyglucose PET/CT for prediction of gastric cancer survival and chemotherapeutic benefits.

Authors:  Yuming Jiang; Qingyu Yuan; Wenbing Lv; Sujuan Xi; Weicai Huang; Zepang Sun; Hao Chen; Liying Zhao; Wei Liu; Yanfeng Hu; Lijun Lu; Jianhua Ma; Tuanjie Li; Jiang Yu; Quanshi Wang; Guoxin Li
Journal:  Theranostics       Date:  2018-11-12       Impact factor: 11.556

7.  Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2016.

Authors:  Kyu-Won Jung; Young-Joo Won; Hyun-Joo Kong; Eun Sook Lee
Journal:  Cancer Res Treat       Date:  2019-03-18       Impact factor: 4.679

8.  Radiomics approaches in gastric cancer: a frontier in clinical decision making.

Authors:  Yue Wang; Zheng-Yu Jin
Journal:  Chin Med J (Engl)       Date:  2019-08-20       Impact factor: 2.628

9.  The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.

Authors:  Alex Zwanenburg; Martin Vallières; Mahmoud A Abdalah; Hugo J W L Aerts; Vincent Andrearczyk; Aditya Apte; Saeed Ashrafinia; Spyridon Bakas; Roelof J Beukinga; Ronald Boellaard; Marta Bogowicz; Luca Boldrini; Irène Buvat; Gary J R Cook; Christos Davatzikos; Adrien Depeursinge; Marie-Charlotte Desseroit; Nicola Dinapoli; Cuong Viet Dinh; Sebastian Echegaray; Issam El Naqa; Andriy Y Fedorov; Roberto Gatta; Robert J Gillies; Vicky Goh; Michael Götz; Matthias Guckenberger; Sung Min Ha; Mathieu Hatt; Fabian Isensee; Philippe Lambin; Stefan Leger; Ralph T H Leijenaar; Jacopo Lenkowicz; Fiona Lippert; Are Losnegård; Klaus H Maier-Hein; Olivier Morin; Henning Müller; Sandy Napel; Christophe Nioche; Fanny Orlhac; Sarthak Pati; Elisabeth A G Pfaehler; Arman Rahmim; Arvind U K Rao; Jonas Scherer; Muhammad Musib Siddique; Nanna M Sijtsema; Jairo Socarras Fernandez; Emiliano Spezi; Roel J H M Steenbakkers; Stephanie Tanadini-Lang; Daniela Thorwarth; Esther G C Troost; Taman Upadhaya; Vincenzo Valentini; Lisanne V van Dijk; Joost van Griethuysen; Floris H P van Velden; Philip Whybra; Christian Richter; Steffen Löck
Journal:  Radiology       Date:  2020-03-10       Impact factor: 29.146

10.  Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients.

Authors:  Stephen S F Yip; Thibaud P Coroller; Nina N Sanford; Harvey Mamon; Hugo J W L Aerts; Ross I Berbeco
Journal:  Front Oncol       Date:  2016-03-29       Impact factor: 6.244

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  4 in total

Review 1.  Radiomics in Oncological PET Imaging: A Systematic Review-Part 2, Infradiaphragmatic Cancers, Blood Malignancies, Melanoma and Musculoskeletal Cancers.

Authors:  David Morland; Elizabeth Katherine Anna Triumbari; Luca Boldrini; Roberto Gatta; Daniele Pizzuto; Salvatore Annunziata
Journal:  Diagnostics (Basel)       Date:  2022-05-27

2.  Targeting Inhibition of Notch1 Signaling Pathway on the Study of Human Gastric Cancer Stem Cells with Chemosensitization.

Authors:  Yan Dou; Jinghong Wang
Journal:  Comput Intell Neurosci       Date:  2022-04-26

3.  Relationship of FDG PET/CT Textural Features with the Tumor Microenvironment and Recurrence Risks in Patients with Advanced Gastric Cancers.

Authors:  Hyein Ahn; Geum Jong Song; Si-Hyong Jang; Hyun Ju Lee; Moon-Soo Lee; Ji-Hye Lee; Mee-Hye Oh; Geum Cheol Jeong; Sang Mi Lee; Jeong Won Lee
Journal:  Cancers (Basel)       Date:  2022-08-15       Impact factor: 6.575

4.  Predicting the Recurrence of Gastric Cancer Using the Textural Features of Perigastric Adipose Tissue on [18F]FDG PET/CT.

Authors:  Hyein Ahn; Geum Jong Song; Si-Hyong Jang; Myoung Won Son; Hyun Ju Lee; Moon-Soo Lee; Ji-Hye Lee; Mee-Hye Oh; Geum Cheol Jeong; Jong Hyuk Yun; Sang Mi Lee; Jeong Won Lee
Journal:  Int J Mol Sci       Date:  2022-10-09       Impact factor: 6.208

  4 in total

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