EPV106/#249 Endometrial cancer immunohistochemical risk stratification in a large uterine-confined cancer series Article Swipe
Emanuele Perrone
,
Francesca De Felice
,
Ilaria Capasso
,
Damiano Arciuolo
,
Ettore Distefano
,
Domenica Lorusso
,
GF Zannoni
,
Giovanni Scambia
,
Francesco Fanfani
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1136/ijgc-2021-igcs.176
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1136/ijgc-2021-igcs.176
Objectives The aim of this study is to assess the clinical reproducibility and the oncological validity of the Endometrial cancer (EC) risk stratification based on the molecular information given by the immunohistochemistry (IHC). Methods Retrospective IHC analyses were conducted in a large series of 778 pre-operative uterine-confined ECs, studying the presence/absence of MLH1, MSH2, MSH6, to define the mismatch repair (MMR) stable or instable phenotype; the presence of p53 mutations and other molecular features. The molecular profile was correlated with histological, clinical and prognostic EC patients' data. Results Based on the IHC, we defined 3 EC populations: MMR stable (MMRs), instable (MMRi) and p53 mutated (p53+) patients. Our result demonstrated that the IHC stratification statistically correlated with the most relevant anatomo-clinical features: FIGO stage (p<0.001), grading (12,5% G3 in MMRs vs 22.9% in MMRi vs 95.3% in p53+, p<0.001), histotype (Type II 6.2% in MMRs vs 5.3% in MMRi vs 87.5% in p53+, p<0.001), presence of LVSI (positive in 16.3% in MMRs vs 23.8% in MMRi vs 38.7% in p53+, p<0.001), myometrial invasion and tumor dimension (p=0.003 and p<0.001 respectively). Again, the 3 IHC populations statistically reflected the EC risk class ESGO-ESMO-ESP classification 2020 (p<0.001). These results were confirmed also in Kaplan-Meier curves in terms of over-all survival (OS) and disease-free survival (DFS) (p<0.001) (figure 1). Conclusions In this large series, we demonstrated that the pragmatic and systematic use of IHC may have an important role to properly stratify, in terms of histological features and clinical outcome, the uterine-confined EC patients.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/ijgc-2021-igcs.176
- https://ijgc.bmj.com/content/ijgc/31/Suppl_4/A72.1.full.pdf
- OA Status
- bronze
- References
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3211073586
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3211073586Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1136/ijgc-2021-igcs.176Digital Object Identifier
- Title
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EPV106/#249 Endometrial cancer immunohistochemical risk stratification in a large uterine-confined cancer seriesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-11-01Full publication date if available
- Authors
-
Emanuele Perrone, Francesca De Felice, Ilaria Capasso, Damiano Arciuolo, Ettore Distefano, Domenica Lorusso, GF Zannoni, Giovanni Scambia, Francesco FanfaniList of authors in order
- Landing page
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https://doi.org/10.1136/ijgc-2021-igcs.176Publisher landing page
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https://ijgc.bmj.com/content/ijgc/31/Suppl_4/A72.1.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://ijgc.bmj.com/content/ijgc/31/Suppl_4/A72.1.full.pdfDirect OA link when available
- Concepts
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Immunohistochemistry, Endometrial cancer, Internal medicine, Medicine, Uterine cancer, Grading (engineering), Oncology, Pathology, Gastroenterology, Cancer, Biology, EcologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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1Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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