Literature DB >> 31201247

Predictive Role of Temporal Changes in Intratumoral Metabolic Heterogeneity During Palliative Chemotherapy in Patients with Advanced Pancreatic Cancer: A Prospective Cohort Study.

Shin Hye Yoo1, Seo Young Kang2,3, Gi Jeong Cheon2,3, Do-Youn Oh4,5, Yung-Jue Bang1,5.   

Abstract

Metabolic intratumoral heterogeneity (ITH) is known to be related to cancer treatment outcome. However, information on the temporal changes in metabolic ITH during chemotherapy and the correlations between metabolic changes and treatment outcomes in patients with pancreatic cancer is sparse. We aimed to analyze the temporal changes in metabolic ITH and the predictive role of its changes in advanced pancreatic cancer patients who underwent palliative chemotherapy.
Methods: We prospectively enrolled patients with unresectable locally advanced or metastatic pancreatic cancer before first-line palliative chemotherapy. 18F-FDG PET was performed at baseline and at the first response follow-up. SUVs, volumetric parameters, and textural features of the primary pancreatic tumor were analyzed. Relationships between the parameters at baseline and first follow-up were assessed, as well as changes in the parameters with treatment response, progression-free survival (PFS), and overall survival (OS).
Results: Among 63 enrolled patients, the best objective response rate was 25.8% (95% confidence interval [CI], 14.6%-37.0%). The median PFS and OS were 7.1 mo (95% CI, 5.1-9.7 mo) and 10.1 mo (95% CI, 8.6-12.7 mo), respectively. Most parameters changed significantly during the first-line chemotherapy, in a way of reducing ITH. Metabolic ITH was more profoundly reduced in responders than in nonresponders. Multiple Cox regression analysis identified high baseline compacity (P = 0.023) and smaller decreases in SUVpeak (P = 0.007) and entropy gray-level cooccurrence matrix (P = 0.033) to be independently associated with poor PFS. Patients with a high carbohydrate antigen 19-9 (P = 0.042), high pretreatment SUVpeak (P = 0.008), and high coefficient of variance at first follow-up (P = 0.04) showed worse OS.
Conclusion: Reduction in metabolic ITH during palliative chemotherapy in advanced pancreatic cancer patients is associated with treatment response and might be predictive of PFS and OS.
© 2020 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  18F-FDG PET; intratumoral heterogeneity; pancreatic cancer; texture analysis; tumor metabolism

Mesh:

Substances:

Year:  2019        PMID: 31201247      PMCID: PMC6954466          DOI: 10.2967/jnumed.119.226407

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  25 in total

1.  Textural Parameters of Tumor Heterogeneity in ¹⁸F-FDG PET/CT for Therapy Response Assessment and Prognosis in Patients with Locally Advanced Rectal Cancer.

Authors:  Ralph A Bundschuh; Julia Dinges; Larissa Neumann; Martin Seyfried; Norbert Zsótér; Laszló Papp; Robert Rosenberg; Karen Becker; Sabrina T Astner; Martin Henninger; Ken Herrmann; Sibylle I Ziegler; Markus Schwaiger; Markus Essler
Journal:  J Nucl Med       Date:  2014-04-21       Impact factor: 10.057

Review 2.  Imaging Heterogeneity in Lung Cancer: Techniques, Applications, and Challenges.

Authors:  Usman Bashir; Muhammad Musib Siddique; Emma Mclean; Vicky Goh; Gary J Cook
Journal:  AJR Am J Roentgenol       Date:  2016-06-15       Impact factor: 3.959

Review 3.  Tumor Heterogeneity in Pancreatic Adenocarcinoma.

Authors:  Jerome Cros; Jerome Raffenne; Anne Couvelard; Nicolas Poté
Journal:  Pathobiology       Date:  2017-08-05       Impact factor: 4.342

4.  Prospective Evaluation of Changes in Tumor Size and Tumor Metabolism in Patients with Advanced Gastric Cancer Undergoing Chemotherapy: Association and Clinical Implication.

Authors:  Seongyeol Park; Seunggyun Ha; Hyun Woo Kwon; Woo Hyoung Kim; Tae-Yong Kim; Do-Youn Oh; Gi Jeong Cheon; Yung-Jue Bang
Journal:  J Nucl Med       Date:  2016-11-10       Impact factor: 10.057

5.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

6.  Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer.

Authors:  Fei Yang; Maria A Thomas; Farrokh Dehdashti; Perry W Grigsby
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-01-23       Impact factor: 9.236

7.  Early-Stage Non-Small Cell Lung Cancer: Quantitative Imaging Characteristics of (18)F Fluorodeoxyglucose PET/CT Allow Prediction of Distant Metastasis.

Authors:  Jia Wu; Todd Aguilera; David Shultz; Madhu Gudur; Daniel L Rubin; Billy W Loo; Maximilian Diehn; Ruijiang Li
Journal:  Radiology       Date:  2016-04-05       Impact factor: 11.105

8.  Quantitative Analysis of (18)F-Fluorodeoxyglucose Positron Emission Tomography Identifies Novel Prognostic Imaging Biomarkers in Locally Advanced Pancreatic Cancer Patients Treated With Stereotactic Body Radiation Therapy.

Authors:  Yi Cui; Jie Song; Erqi Pollom; Muthuraman Alagappan; Hiroki Shirato; Daniel T Chang; Albert C Koong; Ruijiang Li
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-05-07       Impact factor: 7.038

9.  Early Change in Metabolic Tumor Heterogeneity during Chemoradiotherapy and Its Prognostic Value for Patients with Locally Advanced Non-Small Cell Lung Cancer.

Authors:  Xinzhe Dong; Xiaorong Sun; Lu Sun; Peter G Maxim; Lei Xing; Yong Huang; Wenwu Li; Honglin Wan; Xianguang Zhao; Ligang Xing; Jinming Yu
Journal:  PLoS One       Date:  2016-06-20       Impact factor: 3.240

10.  Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

Authors:  Fergus Davnall; Connie S P Yip; Gunnar Ljungqvist; Mariyah Selmi; Francesca Ng; Bal Sanghera; Balaji Ganeshan; Kenneth A Miles; Gary J Cook; Vicky Goh
Journal:  Insights Imaging       Date:  2012-10-24
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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.  The prognostic value of 18F-FDG PET/CT intra-tumoural metabolic heterogeneity in pretreatment neuroblastoma patients.

Authors:  Jun Liu; Yukun Si; Ziang Zhou; Xu Yang; Cuicui Li; Luodan Qian; Li Juan Feng; Mingyu Zhang; Shu Xin Zhang; Jie Liu; Ying Kan; Jianhua Gong; Jigang Yang
Journal:  Cancer Imaging       Date:  2022-07-05       Impact factor: 5.605

Review 3.  KSNM60 in Clinical Nuclear Oncology.

Authors:  Seung Hwan Moon; Young Seok Cho; Joon Young Choi
Journal:  Nucl Med Mol Imaging       Date:  2021-08-31

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

Authors:  Shin Hye Yoo; Seo Young Kang; Jeesun Yoon; Tae-Yong Kim; Gi Jeong Cheon; Do-Youn Oh
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

  4 in total

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