Literature DB >> 32453838

High metabolic heterogeneity on baseline 18FDG-PET/CT scan as a poor prognostic factor for newly diagnosed diffuse large B-cell lymphoma.

Hajime Senjo1, Kenji Hirata2, Koh Izumiyama3, Koichiro Minauchi4, Eriko Tsukamoto5, Kazuo Itoh6, Minoru Kanaya3, Akio Mori3, Shuichi Ota4, Daigo Hashimoto1, Takanori Teshima1.   

Abstract

Metabolic heterogeneity (MH) can be measured using 18F-fluorodeoxyglucose (18FDG) positron emission tomography/computed tomography (PET/CT), and it indicates an inhomogeneous tumor microenvironment. High MH has been shown to predict a worse prognosis for primary mediastinal B-cell lymphoma, whereas its prognostic value in diffuse large B-cell lymphoma (DLBCL) remains to be determined. In the current study, we investigated the prognostic values of MH evaluated in newly diagnosed DLBCL. In the training cohort, 86 patients treated with cyclophosphamide, doxorubicin, vincristine, and prednisone-like chemotherapies were divided into low-MH and high-MH groups using receiver operating characteristic analysis. MH was not correlated with metabolic tumor volume of the corresponding lesion, indicating that MH was independent of tumor burden. At 5 years, overall survivals were 89.5% vs 61.2% (P = .0122) and event-free survivals were 73.1% vs 51.1% (P = .0327) in the low- and high-MH groups, respectively. A multivariate Cox-regression analysis showed that MH was an independent predictive factor for overall survival. The adverse prognostic impacts of high MH were confirmed in an independent validation cohort with 64 patients. In conclusion, MH on baseline 18FDG-PET/CT scan predicts treatment outcomes for patients with newly diagnosed DLBCL.
© 2020 by The American Society of Hematology.

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Year:  2020        PMID: 32453838      PMCID: PMC7252551          DOI: 10.1182/bloodadvances.2020001816

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  34 in total

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3.  The prognostic significance of EBV DNA load and EBER status in diagnostic specimens from diffuse large B-cell lymphoma patients.

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Journal:  Hematol Oncol       Date:  2015-07-14       Impact factor: 5.271

4.  Nasopharyngeal carcinoma: investigation of intratumoral heterogeneity with FDG PET/CT.

Authors:  Bingsheng Huang; Tao Chan; Dora Lai-Wan Kwong; Winnie Kit Sum Chan; Pek-Lan Khong
Journal:  AJR Am J Roentgenol       Date:  2012-07       Impact factor: 3.959

5.  The revised International Prognostic Index (R-IPI) is a better predictor of outcome than the standard IPI for patients with diffuse large B-cell lymphoma treated with R-CHOP.

Authors:  Laurie H Sehn; Brian Berry; Mukesh Chhanabhai; Catherine Fitzgerald; Karamjit Gill; Paul Hoskins; Richard Klasa; Kerry J Savage; Tamara Shenkier; Judy Sutherland; Randy D Gascoyne; Joseph M Connors
Journal:  Blood       Date:  2006-11-14       Impact factor: 22.113

6.  How I treat elderly patients with diffuse large B-cell lymphoma.

Authors:  Michael Pfreundschuh
Journal:  Blood       Date:  2010-08-30       Impact factor: 22.113

7.  The reverse Warburg effect: aerobic glycolysis in cancer associated fibroblasts and the tumor stroma.

Authors:  Stephanos Pavlides; Diana Whitaker-Menezes; Remedios Castello-Cros; Neal Flomenberg; Agnieszka K Witkiewicz; Philippe G Frank; Mathew C Casimiro; Chenguang Wang; Paolo Fortina; Sankar Addya; Richard G Pestell; Ubaldo E Martinez-Outschoorn; Federica Sotgia; Michael P Lisanti
Journal:  Cell Cycle       Date:  2009-12-05       Impact factor: 4.534

8.  SAKK38/07 study: integration of baseline metabolic heterogeneity and metabolic tumor volume in DLBCL prognostic model.

Authors:  Luca Ceriani; Giuseppe Gritti; Luciano Cascione; Maria Cristina Pirosa; Angela Polino; Teresa Ruberto; Anastasios Stathis; Andrea Bruno; Alden A Moccia; Luca Giovanella; Stefanie Hayoz; Sämi Schär; Stefan Dirnhofer; Alessandro Rambaldi; Giovanni Martinelli; Christoph Mamot; Emanuele Zucca
Journal:  Blood Adv       Date:  2020-03-24

9.  Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes.

Authors:  Bjoern Chapuy; Chip Stewart; Andrew J Dunford; Jaegil Kim; Atanas Kamburov; Robert A Redd; Mike S Lawrence; Margaretha G M Roemer; Amy J Li; Marita Ziepert; Annette M Staiger; Jeremiah A Wala; Matthew D Ducar; Ignaty Leshchiner; Ester Rheinbay; Amaro Taylor-Weiner; Caroline A Coughlin; Julian M Hess; Chandra S Pedamallu; Dimitri Livitz; Daniel Rosebrock; Mara Rosenberg; Adam A Tracy; Heike Horn; Paul van Hummelen; Andrew L Feldman; Brian K Link; Anne J Novak; James R Cerhan; Thomas M Habermann; Reiner Siebert; Andreas Rosenwald; Aaron R Thorner; Matthew L Meyerson; Todd R Golub; Rameen Beroukhim; Gerald G Wulf; German Ott; Scott J Rodig; Stefano Monti; Donna S Neuberg; Markus Loeffler; Michael Pfreundschuh; Lorenz Trümper; Gad Getz; Margaret A Shipp
Journal:  Nat Med       Date:  2018-04-30       Impact factor: 53.440

Review 10.  Hypoxia-Modified Cancer Cell Metabolism.

Authors:  Wafaa Al Tameemi; Tina P Dale; Rakad M Kh Al-Jumaily; Nicholas R Forsyth
Journal:  Front Cell Dev Biol       Date:  2019-01-29
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  10 in total

1.  Discovery of Pre-Treatment FDG PET/CT-Derived Radiomics-Based Models for Predicting Outcome in Diffuse Large B-Cell Lymphoma.

Authors:  Russell Frood; Matthew Clark; Cathy Burton; Charalampos Tsoumpas; Alejandro F Frangi; Fergus Gleeson; Chirag Patel; Andrew F Scarsbrook
Journal:  Cancers (Basel)       Date:  2022-03-28       Impact factor: 6.639

2.  Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics features.

Authors:  Jakoba J Eertink; Gerben J C Zwezerijnen; Matthijs C F Cysouw; Sanne E Wiegers; Elisabeth A G Pfaehler; Pieternella J Lugtenburg; Bronno van der Holt; Otto S Hoekstra; Henrica C W de Vet; Josée M Zijlstra; Ronald Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-08-04       Impact factor: 10.057

3.  The value of FDG PET/CT imaging in outcome prediction and response assessment of lymphoma patients treated with immunotherapy: a meta-analysis and systematic review.

Authors:  Zahra Kiamanesh; Narjess Ayati; Ramin Sadeghi; Eliza Hawkes; Sze Ting Lee; Andrew M Scott
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-08-06       Impact factor: 10.057

4.  Two-Year Event-Free Survival Prediction in DLBCL Patients Based on In Vivo Radiomics and Clinical Parameters.

Authors:  Zsombor Ritter; László Papp; Katalin Zámbó; Zoltán Tóth; Dániel Dezső; Dániel Sándor Veres; Domokos Máthé; Ferenc Budán; Éva Karádi; Anett Balikó; László Pajor; Árpád Szomor; Erzsébet Schmidt; Hussain Alizadeh
Journal:  Front Oncol       Date:  2022-06-08       Impact factor: 5.738

5.  Non-Hodgkin Lymphoma Metabolism.

Authors:  Brian James Kirsch; Shu-Jyuan Chang; Michael James Betenbaugh; Anne Le
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

6.  18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma.

Authors:  Jakoba J Eertink; Tim van de Brug; Sanne E Wiegers; Gerben J C Zwezerijnen; Elisabeth A G Pfaehler; Pieternella J Lugtenburg; Bronno van der Holt; Henrica C W de Vet; Otto S Hoekstra; Ronald Boellaard; Josée M Zijlstra
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-08-18       Impact factor: 9.236

7.  Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type.

Authors:  Rui Guo; Xiaobin Hu; Haoming Song; Pengpeng Xu; Haoping Xu; Axel Rominger; Xiaozhu Lin; Bjoern Menze; Biao Li; Kuangyu Shi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-02-20       Impact factor: 9.236

Review 8.  Carbonic Anhydrase IX Inhibitors as Candidates for Combination Therapy of Solid Tumors.

Authors:  Stanislav Kalinin; Anna Malkova; Tatiana Sharonova; Vladimir Sharoyko; Alexander Bunev; Claudiu T Supuran; Mikhail Krasavin
Journal:  Int J Mol Sci       Date:  2021-12-14       Impact factor: 5.923

9.  Baseline PET/CT imaging parameters for prediction of treatment outcome in Hodgkin and diffuse large B cell lymphoma: a systematic review.

Authors:  R Frood; C Burton; C Tsoumpas; A F Frangi; F Gleeson; C Patel; A Scarsbrook
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-02-18       Impact factor: 9.236

10.  Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma: Does Segmentation Method Matter?

Authors:  Jakoba J Eertink; Elisabeth A G Pfaehler; Sanne E Wiegers; Tim van; Pieternella J Lugtenburg; Otto S Hoekstra; Josée M Zijlstra; Henrica C W de Vet; Ronald Boellaard
Journal:  J Nucl Med       Date:  2021-07-16       Impact factor: 10.057

  10 in total

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