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Progression or Regression? - Strengths and Weaknesses of the New Munich Nomenclature III for Cervix Cytology.

ABSTRACT: Introduction: Since 01. 01. 2015 the new Munich nomenclature III for gynaecological diagnostics of the cervix has been in force. The changes have led to controversial scientific discussions. This study reports for the first time on the consequences. Materials and Methods: The present data are based on smear screening results for the year 2014. The data of 63 134 patients were evaluated. Results: 2.27 % of all smears were remarkable. Group IIa was assigned to 0.91 %. Group II-p was somewhat more frequently recorded than group IIID1 (0.59 vs. 0.53 %). Groups IIID1 and IIID2 were found in 0.53 and 0.61 %, respectively, of the cases. Agreement with histology was found in 36.84 and 44.68 %, respectively. Glandular lesions represented the most frequent changes in group III. Histological clarification was obtained for 0.18 % of all remarkable findings. The relative incidence of high-grade precancerous conditions (CIN III) and invasive tumours amounted to 0.1 %. Conclusion: A close communication between gynaecologists and cytologists is mandatory for the correct usage of the new nomenclature. The future annual statistics of the health insurances can now be analysed in more detail. A statistical classification of glandular epithelial changes is now also possible for the first time. The heterogeneous group IIa constitutes an unnecessary uncertainty for patients and physicians. The splitting of the group IIID does not appear to have any advantage for the further clinical management. Further studies are needed to show whether or not the classification can stand up to international comparisons.

SUBMITTER: Hilal Z

PROVIDER: S-EPMC4629992 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundAlternative splicing contributes significantly to the complexity of the human transcriptome and proteome. Computational prediction of alternative splice isoforms are usually based on EST sequences that also allow to approximate the expression pattern of the related transcripts. However, the limited number of tissues represented in the EST data as well as the different cDNA construction protocols may influence the predictive capacity of ESTs to unravel tissue-specifically expressed transcripts.MethodsWe predict tissue and tumor specific splice isoforms based on the genomic mapping (SpliceNest) of the EST consensus sequences and library annotation provided in the GeneNest database. We further ascertain the potentially rare tissue specific transcripts as the ones represented only by ESTs derived from normalized libraries. A subset of the predicted tissue and tumor specific isoforms are then validated via RT-PCR experiments over a spectrum of 40 tissue types.ResultsOur strategy revealed 427 genes with at least one tissue specific transcript as well as 1120 genes showing tumor specific isoforms. While our experimental evaluation of computationally predicted tissue-specific isoforms revealed a high success rate in confirming the expression of these isoforms in the respective tissue, the strategy frequently failed to detect the expected restricted expression pattern. The analysis of putative lowly expressed transcripts using normalized cDNA libraries suggests that our ability to detect tissue-specific isoforms strongly depends on the expression level of the respective transcript as well as on the sensitivity of the experimental methods. Especially splice isoforms predicted to be disease-specific tend to represent transcripts that are expressed in a set of healthy tissues rather than novel isoforms.ConclusionsWe propose to combine the computational prediction of alternative splice isoforms with experimental validation for efficient delineation of an accurate set of tissue-specific transcripts.

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Progression or Regression? - Strengths and Weaknesses of the New Munich Nomenclature III for Cervix Cytology.

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