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1.
Int J Oncol ; 61(4)2022 Oct.
Article in English | MEDLINE | ID: mdl-36082820

ABSTRACT

Epithelial ovarian cancer (EOC) is divided into type I and type II based on histopathological features. Type I is clinically more indolent, but also less sensitive to chemotherapy, compared with type II. The basis for this difference is not fully clarified. The present study investigated the pattern of drug activity in type I and type II EOC for standard cytotoxic drugs and recently introduced tyrosine kinase inhibitors (TKIs), and assessed the association with treatment history and clinical outcome. Isolated EOC tumor cells obtained at surgery were investigated for their sensitivity to seven standard cytotoxic drugs and nine TKIs using a short­term fluorescent microculture cytotoxicity assay (FMCA). Drug activity was compared with respect to EOC subtype, preoperative chemotherapy, cross­resistance and association with progression­free survival (PFS). Out of 128 EOC samples, 120 samples, including 21 type I and 99 type II, were successfully analyzed using FMCA. Patients with EOC type I had a significantly longer PFS time than patients with EOC type II (P=0.01). In line with clinical experience, EOC type I samples were generally more resistant than type II samples to both standard cytotoxic drugs and the TKIs, reaching statistical significance for cisplatin (P=0.03) and dasatinib (P=0.002). A similar pattern was noted in samples from patients treated with chemotherapy prior to surgery compared with treatment­naive samples, reaching statistical significance for fluorouracil, irinotecan, dasatinib and nintedanib (all P<0.05). PFS time gradually shortened with increasing degree of drug resistance. Cross­resistance between drugs was in most cases statistically significant yet moderate in degree (r<0.5). The clinically observed relative drug resistance of EOC type I, as well as in patients previously treated, is at least partly due to mechanisms in the tumor cells. These mechanisms seemingly also encompass kinase inhibitors. Ex vivo assessment of drug activity is suggested to have a role in the optimization of drug therapy in EOC.


Subject(s)
Antineoplastic Agents , Neoplasms, Glandular and Epithelial , Ovarian Neoplasms , Antineoplastic Agents/pharmacology , Antineoplastic Agents/therapeutic use , Carcinoma, Ovarian Epithelial/drug therapy , Dasatinib/pharmacology , Dasatinib/therapeutic use , Drug Resistance , Drug Resistance, Neoplasm , Female , Humans , Neoplasms, Glandular and Epithelial/drug therapy , Ovarian Neoplasms/pathology
2.
Mycol Res ; 109(Pt 2): 159-72, 2005 Feb.
Article in English | MEDLINE | ID: mdl-15839100

ABSTRACT

The phylogeny of Lecanoromycetes (Ascomycota, Fungi) is investigated utilizing parsimony and Bayesian Markov Chain Monte Carlo analyses, of combined nLSU rDNA and mtSSU rDNA sequence datasets. The results suggest that Acarosporaceae, Candelariaceae, Phlyctis and Pycnora are not members of the monophyletic Lecanorales, and that Timdalia and Pleopsidium are members of a monophyletic Acarosporaceae. Pycnora, Candelariaceae and Acarosporaceae form a monophyletic group. Umbilicariaceae, Hypocenomyce scalaris, H. friesii, Ophioparmaceae, Boreoplaca, Elixia and Fuscidea form either a basal paraphyletic assemblage in Lecanoromycetes, or a monophyletic group which is the sister-group to Lecanorales and the rest of Lecanoromycetes (excluding Acarosporaceae). The Acarosporaceae forms a group with Pycnora and Candelariaceae, which may be outside the Lecanoromycetes. Chaetothyriales, Verrucariales, Eurotiales, Lichinales and Mycocaliciales form a monophyletic group, but with low support. We briefly discuss incongruence between datasets from different genetic markers, comparing the differences between the separate parsimony analyses, where the ILD test indicated a very significant incongruence. The phylogenetic significance of ascus-types that have influenced most recent Ascomycota classifications heavily is also discussed, and we finally point out risks with formalizing classifications too early.


Subject(s)
Ascomycota/classification , Ascomycota/genetics , DNA, Mitochondrial/analysis , DNA, Ribosomal/analysis , Phylogeny , DNA, Fungal/analysis , Molecular Sequence Data , Sequence Analysis, DNA
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