Literature DB >> 30082489

Pretreatment 18F-FDG Uptake Heterogeneity Predicts Treatment Outcome of First-Line Chemotherapy in Patients with Metastatic Triple-Negative Breast Cancer.

Chengcheng Gong1,2, Guang Ma3,2,4,5, Xichun Hu1,2, Yingjian Zhang3,2,4,5, Zhonghua Wang1,2, Jian Zhang1,2, Yannan Zhao1,2, Yi Li1,2, Yizhao Xie1,2, Zhongyi Yang6,2,4,5, Biyun Wang7,2.   

Abstract

BACKGROUND: Intratumoral heterogeneity of 18F-fluorodeoxyglucose (18F-FDG) uptake in primary tumor has proven to be a surrogate marker for predicting treatment outcome in various tumors. However, the value of intraindividual heterogeneity in metastatic diseases remains unknown. The aim of this study was to evaluate pretreatment positron emission tomography/computed tomography (PET/CT) 18F-FDG-based heterogeneity for the prediction of first-line treatment outcome in metastatic triple-negative breast cancer (mTNBC).
MATERIALS AND METHODS: mTNBC patients from three clinical trials (NCT00601159, NCT01287624, and NCT02341911) with whole-body 18F-FDG PET/CT scan before first-line gemcitabine/platinum were included. Heterogeneity index (HI) and the maximum of FDG uptake (MAX) across total metastatic lesions (-T) on baseline PET/CT scans were assessed. HI was measured by MAX divided by the minimum FDG uptake across metastatic lesions. Optimal cutoffs were determined by time-dependent receiver operator characteristics (ROC) analysis. Progression-free survival (PFS) and overall survival (OS) were estimated by Kaplan-Meier method and compared by log-rank test.
RESULTS: A total of 42 mTNBC patients were included in this study. The median PFS of patients with high HI-T (>1.9) and high MAX-T (>10.5) was significantly shorter than patients with low HI-T (<1.9; p = .049) and low MAX-T (<10.5; p = .001). In terms of OS, only high MAX-T was significant for poorer outcome (p = .013). ROC curve analysis confirmed the predictive value of MAX and HI in mTNBC patients. Area under the ROC curve for MAX-T and HI-T was 0.75 and 0.65, indicating a higher predictive accuracy than conventional clinical risk factors.
CONCLUSION: HI and MAX measured among metastatic lesions on pretreatment 18F-FDG PET/CT scans could be potential predicators for first-line treatment outcome in patients with mTNBC. IMPLICATIONS FOR PRACTICE: Intratumoral heterogeneity of 18F-fluorodeoxyglucose (FDG) uptake in primary tumor has proven to be a robust surrogate predictive marker. A novel positron emission tomography/computed tomography (PET/CT) parameter-heterogeneity index (HI) to quantify the heterogeneous characteristics of metastatic disease is proposed. Triple-negative breast cancer (TNBC) is a highly heterogeneous disease and remains a clinical challenge. The predictive performance of HI, along with the maximum FDG uptake (MAX), measured on pretreatment PET/CT scans in patients with metastatic TNBC was evaluated. Results indicate that HI and MAX may serve as applicable imaging predicators for treatment outcome of metastatic TNBC in clinical practice. © AlphaMed Press 2018.

Entities:  

Keywords:  zzm32199018F‐fluorodeoxyglucose positron emission tomography/computed tomography; Genetic heterogeneity; Metastatic breast cancer; Prognosis; Triple‐negative breast neoplasms

Mesh:

Substances:

Year:  2018        PMID: 30082489      PMCID: PMC6263118          DOI: 10.1634/theoncologist.2018-0001

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  42 in total

1.  Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.

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Journal:  J Clin Invest       Date:  2011-07       Impact factor: 14.808

Review 2.  Triple-negative breast cancer.

Authors:  William D Foulkes; Ian E Smith; Jorge S Reis-Filho
Journal:  N Engl J Med       Date:  2010-11-11       Impact factor: 91.245

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4.  Intratumoral heterogeneity of F-18 FDG uptake differentiates between gastrointestinal stromal tumors and abdominal malignant lymphomas on PET/CT.

Authors:  Tadashi Watabe; Mitsuaki Tatsumi; Hiroshi Watabe; Kayako Isohashi; Hiroki Kato; Masahiro Yanagawa; Eku Shimosegawa; Jun Hatazawa
Journal:  Ann Nucl Med       Date:  2011-12-21       Impact factor: 2.668

5.  Intratumoral Metabolic Heterogeneity for Prediction of Disease Progression After Concurrent Chemoradiotherapy in Patients with Inoperable Stage III Non-Small-Cell Lung Cancer.

Authors:  Sae-Ryung Kang; Ho-Chun Song; Byung Hyun Byun; Jong-Ryool Oh; Hyeon-Sik Kim; Sun-Pyo Hong; Seong Young Kwon; Ari Chong; Jahae Kim; Sang-Geon Cho; Hee Jeong Park; Young-Chul Kim; Sung-Ja Ahn; Jung-Joon Min; Hee-Seung Bom
Journal:  Nucl Med Mol Imaging       Date:  2013-09-06

Review 6.  Dissecting the heterogeneity of triple-negative breast cancer.

Authors:  Otto Metzger-Filho; Andrew Tutt; Evandro de Azambuja; Kamal S Saini; Giuseppe Viale; Sherene Loi; Ian Bradbury; Judith M Bliss; Hatem A Azim; Paul Ellis; Angelo Di Leo; José Baselga; Christos Sotiriou; Martine Piccart-Gebhart
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7.  Cisplatin plus gemcitabine versus paclitaxel plus gemcitabine as first-line therapy for metastatic triple-negative breast cancer (CBCSG006): a randomised, open-label, multicentre, phase 3 trial.

Authors:  Xi-Chun Hu; Jian Zhang; Bing-He Xu; Li Cai; Joseph Ragaz; Zhong-Hua Wang; Bi-Yun Wang; Yue-E Teng; Zhong-Sheng Tong; Yue-Yin Pan; Yong-Mei Yin; Chang-Ping Wu; Ze-Fei Jiang; Xiao-Jia Wang; Gu-Yin Lou; Dong-Geng Liu; Ji-Feng Feng; Jian-Feng Luo; Kang Sun; Ya-Jia Gu; Jiong Wu; Zhi-Min Shao
Journal:  Lancet Oncol       Date:  2015-03-18       Impact factor: 41.316

Review 8.  Triple-negative breast cancer: risk factors to potential targets.

Authors:  Bryan P Schneider; Eric P Winer; William D Foulkes; Judy Garber; Charles M Perou; Andrea Richardson; George W Sledge; Lisa A Carey
Journal:  Clin Cancer Res       Date:  2008-12-15       Impact factor: 12.531

9.  The maximum standardized uptake value of 18 F-FDG PET scan to determine prognosis of hormone-receptor positive metastatic breast cancer.

Authors:  Jian Zhang; Zhen Jia; Joseph Ragaz; Ying-Jian Zhang; Min Zhou; Yong-Ping Zhang; Gang Li; Bi-Yun Wang; Zhong-Hua Wang; Xi-Chun Hu
Journal:  BMC Cancer       Date:  2013-01-31       Impact factor: 4.430

10.  Chemotherapy of metastatic triple negative breast cancer: Experience of using platinum-based chemotherapy.

Authors:  Jian Zhang; Minhao Fan; Jie Xie; Zhonghua Wang; Biyun Wang; Sheng Zhang; Leiping Wang; Jun Cao; Zhonghua Tao; Ting Li; Xichun Hu
Journal:  Oncotarget       Date:  2015-12-15
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Authors:  Lidija Antunovic; Rita De Sanctis; Luca Cozzi; Margarita Kirienko; Andrea Sagona; Rosalba Torrisi; Corrado Tinterri; Armando Santoro; Arturo Chiti; Renata Zelic; Martina Sollini
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-03-26       Impact factor: 9.236

2.  Pretreatment 18F-FDG uptake heterogeneity can predict treatment outcome of carbon ion radiotherapy in patients with locally recurrent nasopharyngeal carcinoma.

Authors:  Guang Ma; Bingxin Gu; Jiyi Hu; Lin Kong; Jiangang Zhang; Zili Li; Yangbo Xue; Jiade Lu; Junning Cao; Jingyi Cheng; Yingjian Zhang; Shaoli Song; Zhongyi Yang
Journal:  Ann Nucl Med       Date:  2021-04-28       Impact factor: 2.668

3.  Intratumoral Metabolic Heterogeneity and Other Quantitative 18F-FDG PET/CT Parameters for Prognosis Prediction in Esophageal Cancer.

Authors:  Akilan Gopal; Yin Xi; Rathan M Subramaniam; Daniella F Pinho
Journal:  Radiol Imaging Cancer       Date:  2020-12-18

Review 4.  The progress of multimodal imaging combination and subregion based radiomics research of cancers.

Authors:  Luyuan Zhang; Yumin Wang; Zhouying Peng; Yuxiang Weng; Zebin Fang; Feng Xiao; Chao Zhang; Zuoxu Fan; Kaiyuan Huang; Yu Zhu; Weihong Jiang; Jian Shen; Renya Zhan
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5.  Heterogeneous parameters based on 18F-FET PET imaging can non-invasively predict tumor grade and isocitrate dehydrogenase gene 1 mutation in untreated gliomas.

Authors:  Tao Hua; Weiyan Zhou; Zhirui Zhou; Yihui Guan; Ming Li
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6.  Prediction of Pretreatment 18F-FDG-PET/CT Parameters on the Outcome of First-Line Therapy in Patients with Metastatic Breast Cancer.

Authors:  Yi Li; Cheng Liu; Bibo Wang; Xichun Hu; Chengcheng Gong; Yannan Zhao; Yizhao Xie; Yingjian Zhang; Shaoli Song; Zhongyi Yang; Biyun Wang
Journal:  Int J Gen Med       Date:  2021-05-11

7.  Radiotherapy after surgery has significant survival benefits for patients with triple-negative breast cancer.

Authors:  Yi Yao; Yuxin Chu; Bin Xu; Qinyong Hu; Qibin Song
Journal:  Cancer Med       Date:  2019-01-10       Impact factor: 4.452

8.  Prognostic Value of Heterogeneity Index Derived from Baseline 18F-FDG PET/CT in Mantle Cell Lymphoma.

Authors:  Fei Liu; Bingxin Gu; Nan Li; Herong Pan; Wen Chen; Ying Qiao; Shaoli Song; Xiaosheng Liu
Journal:  Front Oncol       Date:  2022-04-14       Impact factor: 5.738

9.  CPNE1 predicts poor prognosis and promotes tumorigenesis and radioresistance via the AKT singling pathway in triple-negative breast cancer.

Authors:  Zhihong Shao; Xiaolong Ma; Yufeng Zhang; Yuanyuan Sun; Wenjuan Lv; Kuigang He; Rui Xia; Peijun Wang; Xiaolong Gao
Journal:  Mol Carcinog       Date:  2020-03-17       Impact factor: 4.784

10.  Heterogeneity derived from 18 F-FDG PET/CT predicts immunotherapy outcome for metastatic triple-negative breast cancer patients.

Authors:  Yizhao Xie; Cheng Liu; Yannan Zhao; Chengcheng Gong; Yi Li; Shihui Hu; Shaoli Song; Xichun Hu; Zhongyi Yang; Biyun Wang
Journal:  Cancer Med       Date:  2022-03-11       Impact factor: 4.711

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