Literature DB >> 32492856

Metabolic Profiling of Early and Late Recurrent Pancreatic Ductal Adenocarcinoma Using Patient-Derived Organoid Cultures.

Lukas M Braun1,2,3, Simon Lagies1,3,4, Rhena F U Klar5,6, Saskia Hussung5,7, Ralph M Fritsch5,6,7,8,9, Bernd Kammerer1,4,10, Uwe A Wittel2.   

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is associated with high mortality and will become the second most common cause of cancer-associated mortality by 2030. The poor prognosis arises from a lack of sensitive biomarkers, limited therapeutic options, and the astonishingly high recurrence rate after surgery of 60-80%. The factors driving this recurrence, however, remain enigmatic. Therefore, we generated patient-derived organoids (PDOs) from early- and late-recurrent PDAC patients. Cellular identity of PDOs was confirmed by qPCR, ddPCR, and IHC analyses. This is the first study investigating the metabolism in PDOs of different, clinically significant PDAC entities by untargeted GC/MS profiling. Partial least square discriminant analysis unveiled global alterations between the two sample groups. We identified nine metabolites to be increased in early recurrent PDOs in comparison to late recurrent PDOs. More than four-times increased were fumarate, malate, glutamate, aspartate, and glutamine. Hence, α-keto acids were elevated in PDO-conditioned medium derived from early recurrent patients. We therefore speculate that an increased anaplerotic metabolism fuels the Krebs-cycle and a corresponding higher accessibility to energy fastens the recurrence in PDAC patients. Therein, a therapeutic intervention could delay PDAC recurrence and prolong survival of affected patients or could serve as biomarker to predict recurrence in the future.

Entities:  

Keywords:  GC/MS; PDAC; PDO culture; anaplerotic TCA-cycle; glutamate; metabolomics; pancreatic ductal adenocarcinoma; patient derived organoids; recurrence; relapse

Year:  2020        PMID: 32492856     DOI: 10.3390/cancers12061440

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  6 in total

Review 1.  Metabolomics-based mass spectrometry methods to analyze the chemical content of 3D organoid models.

Authors:  Shannon E Murphy; Jonathan V Sweedler
Journal:  Analyst       Date:  2022-06-27       Impact factor: 5.227

2.  Plasma biomarkers for prediction of early tumor recurrence after resection of pancreatic ductal adenocarcinoma.

Authors:  Marie-Claire Rittmann; Saskia Hussung; Lukas M Braun; Rhena F U Klar; Esther A Biesel; Stefan Fichtner-Feigl; Ralph Fritsch; Uwe A Wittel; Dietrich A Ruess
Journal:  Sci Rep       Date:  2021-04-05       Impact factor: 4.379

3.  Construction and validation of a metabolic gene-associated prognostic model for cervical carcinoma and the role on tumor microenvironment and immunity.

Authors:  Jinzhi Huang; Fei Luo; Mingjie Shi; Jiaxin Luo; Choudi Ma; Shangzheng Li; Yue Wei; Runmin Guo; Ting Li
Journal:  Aging (Albany NY)       Date:  2021-12-01       Impact factor: 5.682

Review 4.  Tumor organoids: synergistic applications, current challenges, and future prospects in cancer therapy.

Authors:  Jingjing Qu; Farhin Shaheed Kalyani; Li Liu; Tianli Cheng; Lijun Chen
Journal:  Cancer Commun (Lond)       Date:  2021-10-29

Review 5.  The pivotal application of patient-derived organoid biobanks for personalized treatment of gastrointestinal cancers.

Authors:  Ya-Ya Yu; Yan-Juan Zhu; Zhen-Zhen Xiao; Ya-Dong Chen; Xue-Song Chang; Yi-Hong Liu; Qing Tang; Hai-Bo Zhang
Journal:  Biomark Res       Date:  2022-10-08

Review 6.  Targeting Glutaminolysis: New Perspectives to Understand Cancer Development and Novel Strategies for Potential Target Therapies.

Authors:  Zhefang Wang; Fanyu Liu; Ningbo Fan; Chenghui Zhou; Dai Li; Thomas Macvicar; Qiongzhu Dong; Christiane J Bruns; Yue Zhao
Journal:  Front Oncol       Date:  2020-10-26       Impact factor: 6.244

  6 in total

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