Literature DB >> 26823494

Modeling Therapy Response and Spatial Tissue Distribution of Erlotinib in Pancreatic Cancer.

Barbara M Grüner1, Isabel Winkelmann2, Annette Feuchtinger2, Na Sun2, Benjamin Balluff3, Nicole Teichmann1, Alexander Herner1, Evdokia Kalideris1, Katja Steiger4, Rickmer Braren5, Michaela Aichler2, Irene Esposito6, Roland M Schmid7, Axel Walch8, Jens T Siveke9.   

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is likely the most aggressive and therapy-resistant of all cancers. The aim of this study was to investigate the emerging technology of matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) as a powerful tool to study drug delivery and spatial tissue distribution in PDAC. We utilized an established genetically engineered mouse model of spontaneous PDAC to examine the distribution of the small-molecule inhibitor erlotinib in healthy pancreas and PDAC. MALDI IMS was utilized on sections of single-dose or long-term-treated mice to measure drug tissue distribution. Histologic and statistical analyses were performed to correlate morphology, drug distribution, and survival. We found that erlotinib levels were significantly lower in PDAC compared with healthy tissue (P = 0.0078). Survival of long-term-treated mice did not correlate with overall levels of erlotinib or with overall histologic tumor grade but did correlate both with the percentage of atypical glands in the cancer (P = 0.021, rs = 0.59) and the level of erlotinib in those atypical glands (P = 0.019, rs = 0.60). The results of this pilot study present MALDI IMS as a reliable technology to study drug delivery and spatial distribution of compounds in a preclinical setting and support drug imaging-based translational approaches. Mol Cancer Ther; 15(5); 1145-52. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26823494     DOI: 10.1158/1535-7163.MCT-15-0165

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  9 in total

Review 1.  Monitoring for Response to Antineoplastic Drugs: The Potential of a Metabolomic Approach.

Authors:  Jodi Rattner; Oliver F Bathe
Journal:  Metabolites       Date:  2017-11-16

2.  Quantitative Mass Spectrometry Imaging Reveals Mutation Status-independent Lack of Imatinib in Liver Metastases of Gastrointestinal Stromal Tumors.

Authors:  Denis Abu Sammour; Christian Marsching; Alexander Geisel; Katrin Erich; Sandra Schulz; Carina Ramallo Guevara; Jan-Hinrich Rabe; Alexander Marx; Peter Findeisen; Peter Hohenberger; Carsten Hopf
Journal:  Sci Rep       Date:  2019-07-23       Impact factor: 4.379

3.  Aptamer-SH2 superbinder-based targeted therapy for pancreatic ductal adenocarcinoma.

Authors:  An-Dong Liu; Jie Zhou; Xiao-Yang Bi; Guo-Qing Hou; Shawn Shun-Cheng Li; Qing Chen; Hui Xu; Xuan Cao
Journal:  Clin Transl Med       Date:  2021-03

4.  Peptide Signatures for Prognostic Markers of Pancreatic Cancer by MALDI Mass Spectrometry Imaging.

Authors:  Florian N Loch; Oliver Klein; Katharina Beyer; Frederick Klauschen; Christian Schineis; Johannes C Lauscher; Georgios A Margonis; Claudius E Degro; Wael Rayya; Carsten Kamphues
Journal:  Biology (Basel)       Date:  2021-10-12

5.  An overview of image registration for aligning mass spectrometry imaging with clinically relevant imaging modalities.

Authors:  Benjamin Balluff; Ron M A Heeren; Alan M Race
Journal:  J Mass Spectrom Adv Clin Lab       Date:  2021-12-18

6.  MALDI mass spectrometry imaging of erlotinib administered in combination with bevacizumab in xenograft mice bearing B901L, EGFR-mutated NSCLC cells.

Authors:  Masanobu Nishidate; Kaname Yamamoto; Chinami Masuda; Hiroaki Aikawa; Mitsuhiro Hayashi; Takehiko Kawanishi; Akinobu Hamada
Journal:  Sci Rep       Date:  2017-12-01       Impact factor: 4.379

7.  Hmga2 is dispensable for pancreatic cancer development, metastasis, and therapy resistance.

Authors:  Shin-Heng Chiou; Madeleine Dorsch; Eva Kusch; Santiago Naranjo; Margaret M Kozak; Albert C Koong; Monte M Winslow; Barbara M Grüner
Journal:  Sci Rep       Date:  2018-09-18       Impact factor: 4.379

Review 8.  Signal-Targeted Therapies and Resistance Mechanisms in Pancreatic Cancer: Future Developments Reside in Proteomics.

Authors:  Célia Cintas; Thibaut Douché; Nicole Therville; Silvia Arcucci; Fernanda Ramos-Delgado; Céline Basset; Benoît Thibault; Julie Guillermet-Guibert
Journal:  Cancers (Basel)       Date:  2018-06-01       Impact factor: 6.639

9.  Quantification of fluorophore distribution and therapeutic response in matched in vivo and ex vivo pancreatic cancer model systems.

Authors:  Allison Solanki; Diana King; Guillaume Thibault; Lei Wang; Summer L Gibbs
Journal:  PLoS One       Date:  2020-02-25       Impact factor: 3.240

  9 in total

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