Literature DB >> 30539680

Biomarkers and pathways of chemoresistance and chemosensitivity for personalized treatment of pancreatic adenocarcinoma.

Tomas Zemanek1, Bohuslav Melichar1,2, Martin Lovecek3, Pavel Soucek4, Beatrice Mohelnikova-Duchonova1,2.   

Abstract

Pancreatic carcinoma is usually diagnosed late when treatment options are limited and is considered a chemo-resistant malignancy. However, early stage, good performance status and specific patient subgroup are thought to have a more favorable prognosis. Search for novel molecular biomarkers, which could predict treatment resistance, represents a major opportunity, but also a challenge in further research. This review summarizes most aspects of individualized therapy of pancreatic cancer including promising biomarkers, BRCA-deficient pancreatic cancer and its etiology. It may be estimated that nearly a third of metastatic pancreatic ductal adenocarcinoma patients could benefit from treatment other than gold standard chemotherapy. Thus, other aspects of an individualized approach concerning the main factors for the choice of the best therapy for individual pancreatic cancer patient (surgery and chemotherapy), as well as the future directions (target therapy and immunotherapy), are also addressed.

Entities:  

Keywords:  BRCA; PARP inhibitors; biomarker; genomics; pancreatic ductal adenocarcinoma; resistance; therapy

Mesh:

Substances:

Year:  2018        PMID: 30539680     DOI: 10.2217/pgs-2018-0073

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  3 in total

1.  SLC46A1 Haplotype with Predicted Functional Impact has Prognostic Value in Breast Carcinoma.

Authors:  Viktor Hlavac; Radka Vaclavikova; Veronika Brynychova; Pavel Dvorak; Katerina Elsnerova; Renata Kozevnikovova; Karel Raus; Katerina Kopeckova; Sona Mestakova; David Vrana; Jiri Gatek; Pavel Soucek
Journal:  Mol Diagn Ther       Date:  2021-01-02       Impact factor: 4.074

2.  KRAS pathway expression changes in pancreatic cancer models by conventional and experimental taxanes.

Authors:  M Oliverius; D Flasarova; B Mohelnikova-Duchonova; M Ehrlichova; V Hlavac; M Kocik; O Strouhal; P Dvorak; I Ojima; P Soucek
Journal:  Mutagenesis       Date:  2019-12-19       Impact factor: 3.000

3.  Pharmacometabolomics Identifies 3-Hydroxyadipic Acid, d-Galactose, Lysophosphatidylcholine (P-16:0), and Tetradecenoyl-l-Carnitine as Potential Predictive Indicators of Gemcitabine Efficacy in Pancreatic Cancer Patients.

Authors:  Dongyuan Wu; Xinyuan Li; Xiaohan Zhang; Fang Han; Xin Lu; Lei Liu; Junsheng Zhang; Mei Dong; Huanjie Yang; Hui Li
Journal:  Front Oncol       Date:  2020-01-29       Impact factor: 6.244

  3 in total

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