18 research outputs found

    p53 immunohistochemistry in endometrial cancer:clinical and molecular correlates in the PORTEC-3 trial

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    Standard molecular classification of endometrial cancers (EC) is now endorsed by the WHO and identifies p53-abnormal (p53abn) EC as the subgroup with the poorest prognosis and the most likely to benefit from adjuvant chemo(radio)therapy. P53abn EC are POLE wildtype, mismatch repair proficient and show abnormal immunohistochemical (IHC) staining for p53. Correct interpretation of routinely performed p53 IHC has therefore become of paramount importance. We aimed to comprehensively investigate abnormal p53 IHC patterns and their relation to clinicopathological and molecular features. Tumor material of 411 molecularly classified high-risk EC from consenting patients from the PORTEC-3 clinical trial were collected. p53 IHC was successful in 408 EC and was considered abnormal when the tumor showed a mutant expression pattern (including subclonal): overexpression, null or cytoplasmic. The presence of pathogenic mutations was determined by next generation sequencing (NGS). Abnormal p53 expression was observed in 131/408 (32%) tumors. The most common abnormal p53 IHC pattern was overexpression (n = 89, 68%), followed by null (n = 12, 9%) and cytoplasmic (n = 3, 2%). Subclonal abnormal p53 staining was observed in 27 cases (21%), which was frequently but not exclusively, associated with POLE mutations and/or MMRd (n = 22/27; p < 0.001). Agreement between p53 IHC and TP53 NGS was observed in 90.7%, resulting in a sensitivity and specificity of 83.6% and 94.3%, respectively. Excluding POLEmut and MMRd EC, as per the WHO-endorsed algorithm, increased the accuracy to 94.5% with sensitivity and specificity of 95.0% and 94.1%, respectively. Our data shows that awareness of the abnormal p53 IHC patterns are prerequisites for correct EC molecular classification. Subclonal abnormal p53 expression is a strong indicator for POLEmut and/or MMRd EC. No significant differences in clinical outcomes were observed among the abnormal p53 IHC patterns. Our data support use of the WHO-endorsed algorithm and combining the different abnormal p53 IHC patterns into one diagnostic entity (p53abn EC)

    Multinational evaluation of genetic diversity indicators for the Kunming-Montreal Global Biodiversity Framework

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    DATA AVAILABILITY STATEMENT : Kobo forms and scripts used to collect and analyse data are available on the GitHub repository https://github.com/AliciaMstt/GeneticIndicators (Zenodo: https://zenodo.org/doi/10.5281/zenodo.10620306).The data that support the findings of this study are available in DRYAD (https://doi.org/10.5061/dryad.bk3j9kdkm). Some data that could lead to the geographic identification of endangered species have been obscured.Under the recently adopted Kunming-Montreal Global Biodiversity Framework, 196 Parties committed to reporting the status of genetic diversity for all species. To facilitate reporting, three genetic diversity indicators were developed, two of which focus on processes contributing to genetic diversity conservation: maintaining genetically distinct populations and ensuring populations are large enough to maintain genetic diversity. The major advantage of these indicators is that they can be estimated with or without DNA-based data. However, demonstrating their feasibility requires addressing the methodological challenges of using data gathered from diverse sources, across diverse taxonomic groups, and for countries of varying socio-economic status and biodiversity levels. Here, we assess the genetic indicators for 919 taxa, representing 5271 populations across nine countries, including megadiverse countries and developing economies. Eighty-three percent of the taxa assessed had data available to calculate at least one indicator. Our results show that although the majority of species maintain most populations, 58% of species have populations too small to maintain genetic diversity. Moreover, genetic indicator values suggest that IUCN Red List status and other initiatives fail to assess genetic status, highlighting the critical importance of genetic indicators.Agence Nationale de la Recherche; Svenska ForskningsrÄdet Formas; Consejo Nacional de Ciencia y Tecnología; VetenskapsrÄdet.http://www.wileyonlinelibrary.com/journal/elehj2024Zoology and EntomologySDG-15:Life on lan

    Multinational evaluation of genetic diversity indicators for the Kunming‐Montreal Global Biodiversity Framework

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    Under the recently adopted Kunming‐Montreal Global Biodiversity Framework, 196 Parties committed to reporting the status of genetic diversity for all species. To facilitate reporting, three genetic diversity indicators were developed, two of which focus on processes contributing to genetic diversity conservation: maintaining genetically distinct populations and ensuring populations are large enough to maintain genetic diversity. The major advantage of these indicators is that they can be estimated with or without DNA‐based data. However, demonstrating their feasibility requires addressing the methodological challenges of using data gathered from diverse sources, across diverse taxonomic groups, and for countries of varying socio‐economic status and biodiversity levels. Here, we assess the genetic indicators for 919 taxa, representing 5271 populations across nine countries, including megadiverse countries and developing economies. Eighty‐three percent of the taxa assessed had data available to calculate at least one indicator. Our results show that although the majority of species maintain most populations, 58% of species have populations too small to maintain genetic diversity. Moreover, genetic indicator values suggest that IUCN Red List status and other initiatives fail to assess genetic status, highlighting the critical importance of genetic indicators

    Interneuron activity controls endocannabinoid-mediated presynaptic plasticity through calcineurin

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    Retrograde signaling by endocannabinoids (eCBs) mediates a widely expressed form of long-term depression at excitatory and inhibitory synapses (eCB-LTD), involving a reduction in neurotransmitter release. In the hippocampus, eCB-LTD occurs at interneuron (IN)-pyramidal cell (PC) synapses (I-LTD), and its induction requires a presynaptic reduction of cAMP/PKA signaling resulting from minutes of type 1 cannabinoid receptor (CB1R) activation. Although repetitive activity of glutamatergic synapses initiates the eCB mobilization required for I-LTD, it is unclear whether CB1R-containing GABAergic terminals are passive targets of eCBs or whether they actively contribute to induction. Here, we show that the minutes-long induction period for I-LTD may serve as a window to integrate associated spontaneous activity in the same IN receiving the retrograde eCB signal. Indeed, reducing spontaneous IN firing blocked I-LTD, which could be rescued with extra stimulation of inhibitory afferents. Moreover, cell pair recordings showed that a single IN expressed LTD onto a PC only if it was active during eCB signaling. Several methods of disrupting presynaptic Ca2+ dynamics all blocked I-LTD, strongly suggesting that IN spikes regulate I-LTD by raising Ca2+ at the nerve terminal. Finally, inhibiting the Ca2+-activated phosphatase, calcineurin, fully blocked I-LTD, but blocking another phosphatase did not. Our findings support a model where both CB1R signaling and IN activity shift the balance of kinase and phosphatase activity in the presynaptic terminal to induce I-LTD

    p53 immunohistochemistry in endometrial cancer: clinical and molecular correlates in the PORTEC-3 trial

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    Standard molecular classification of endometrial cancers (EC) is now endorsed by the WHO and identifies p53-abnormal (p53abn) EC as the subgroup with the poorest prognosis and the most likely to benefit from adjuvant chemo(radio)therapy. P53abn EC are POLE wildtype, mismatch repair proficient and show abnormal immunohistochemical (IHC) staining for p53. Correct interpretation of routinely performed p53 IHC has therefore become of paramount importance. We aimed to comprehensively investigate abnormal p53 IHC patterns and their relation to clinicopathological and molecular features. Tumor material of 411 molecularly classified high-risk EC from consenting patients from the PORTEC-3 clinical trial were collected. p53 IHC was successful in 408 EC and was considered abnormal when the tumor showed a mutant expression pattern (including subclonal): overexpression, null or cytoplasmic. The presence of pathogenic mutations was determined by next generation sequencing (NGS). Abnormal p53 expression was observed in 131/408 (32%) tumors. The most common abnormal p53 IHC pattern was overexpression (n = 89, 68%), followed by null (n = 12, 9%) and cytoplasmic (n = 3, 2%). Subclonal abnormal p53 staining was observed in 27 cases (21%), which was frequently but not exclusively, associated with POLE mutations and/or MMRd (n = 22/27; p < 0.001). Agreement between p53 IHC and TP53 NGS was observed in 90.7%, resulting in a sensitivity and specificity of 83.6% and 94.3%, respectively. Excluding POLEmut and MMRd EC, as per the WHO-endorsed algorithm, increased the accuracy to 94.5% with sensitivity and specificity of 95.0% and 94.1%, respectively. Our data shows that awareness of the abnormal p53 IHC patterns are prerequisites for correct EC molecular classification. Subclonal abnormal p53 expression is a strong indicator for POLEmut and/or MMRd EC. No significant differences in clinical outcomes were observed among the abnormal p53 IHC patterns. Our data support use of the WHO-endorsed algorithm and combining the different abnormal p53 IHC patterns into one diagnostic entity (p53abn EC)
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