Literature DB >> 33398064

Biomarkers for site-specific response to neoadjuvant chemotherapy in epithelial ovarian cancer: relating MRI changes to tumour cell load and necrosis.

Jessica M Winfield1,2, Jennifer C Wakefield1,2, James D Brenton3,4,5, Khalid AbdulJabbar6,7, Antonella Savio8, Susan Freeman9, Erika Pace1,2, Kerryn Lutchman-Singh10, Katherine M Vroobel8, Yinyin Yuan6,7, Susana Banerjee11, Nuria Porta12, Shan E Ahmed Raza6,7,13, Nandita M deSouza14,15.   

Abstract

BACKGROUND: Diffusion-weighted magnetic resonance imaging (DW-MRI) potentially interrogates site-specific response to neoadjuvant chemotherapy (NAC) in epithelial ovarian cancer (EOC).
METHODS: Participants with newly diagnosed EOC due for platinum-based chemotherapy and interval debulking surgery were recruited prospectively in a multicentre study (n = 47 participants). Apparent diffusion coefficient (ADC) and solid tumour volume (up to 10 lesions per participant) were obtained from DW-MRI before and after NAC (including double-baseline for repeatability assessment in n = 19). Anatomically matched lesions were analysed after surgical excision (65 lesions obtained from 25 participants). A trained algorithm determined tumour cell fraction, percentage tumour and percentage necrosis on histology. Whole-lesion post-NAC ADC and pre/post-NAC ADC changes were compared with histological metrics (residual tumour/necrosis) for each tumour site (ovarian, omental, peritoneal, lymph node).
RESULTS: Tumour volume reduced at all sites after NAC. ADC increased between pre- and post-NAC measurements. Post-NAC ADC correlated negatively with tumour cell fraction. Pre/post-NAC changes in ADC correlated positively with percentage necrosis. Significant correlations were driven by peritoneal lesions.
CONCLUSIONS: Following NAC in EOC, the ADC (measured using DW-MRI) increases differentially at disease sites despite similar tumour shrinkage, making its utility site-specific. After NAC, ADC correlates negatively with tumour cell fraction; change in ADC correlates positively with percentage necrosis. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov NCT01505829.

Entities:  

Year:  2021        PMID: 33398064      PMCID: PMC7961011          DOI: 10.1038/s41416-020-01217-5

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  1 in total

1.  Evaluation of diffusion-weighted MRI and (18F) fluorothymidine-PET biomarkers for early response assessment in patients with operable non-small cell lung cancer treated with neoadjuvant chemotherapy.

Authors:  Dominic Carlin; Alexander Weller; Gem Kramer; Yan Liu; John C Waterton; Arturo Chiti; Martina Sollini; A Joop de Langen; Mary E R O'Brien; Maria Urbanowicz; Bart Km Jacobs; Nandita deSouza
Journal:  BJR Open       Date:  2019-07-20
  1 in total
  5 in total

1.  Early Whole-Body Diffusion-weighted MRI Helps Predict Long-term Outcome Following Peptide Receptor Radionuclide Therapy for Metastatic Neuroendocrine Tumors.

Authors:  Vincent Vandecaveye; Raphaëla C Dresen; Elin Pauwels; Sofie Van Binnebeek; Ragna Vanslembrouck; Kristof Baete; Felix M Mottaghy; Paul M Clement; Kristiaan Nackaerts; Eric Van Cutsem; Chris Verslype; Frederik De Keyzer; Christophe M Deroose
Journal:  Radiol Imaging Cancer       Date:  2022-05

2.  Perspectives on Ovarian Cancer 1809 to 2022 and Beyond.

Authors:  Frank G Lawton; Edward J Pavlik
Journal:  Diagnostics (Basel)       Date:  2022-03-24

3.  The Preeminent Value of the Apparent Diffusion Coefficient in Assessing High-Risk Factors and Prognosis for Stage I Endometrial Carcinoma Patients.

Authors:  Quan Quan; Hui Peng; Sainan Gong; Jiali Liu; Yunfeng Lu; Rongsheng Chen; Xiaoling Mu
Journal:  Front Oncol       Date:  2022-02-16       Impact factor: 6.244

4.  Editorial: Quantitative Imaging for Clinical Decisions.

Authors:  Nandita Maria deSouza; Daniela Elena Oprea-Lager; Laure S Fournier
Journal:  Front Oncol       Date:  2022-03-03       Impact factor: 6.244

Review 5.  Diffusion-Weighted Magnetic Resonance Imaging in Ovarian Cancer: Exploiting Strengths and Understanding Limitations.

Authors:  Tanja Gagliardi; Margaret Adejolu; Nandita M deSouza
Journal:  J Clin Med       Date:  2022-03-10       Impact factor: 4.241

  5 in total

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