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Record W4282964062 · doi:10.1158/1538-7445.am2022-775

Abstract 775: Evaluation of Erb-B2 expression from archival tumor tissue in early stage epithelial ovarian carcinoma patient prognosis

2022· article· en· W4282964062 on OpenAlexaffabout
Kavitha Advikolanu Rao, Anthony M. Magliocco, Andrew W. Maksymiuk

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsCancerCare Manitoba
Fundersnot available
KeywordsMedicineStage (stratigraphy)Internal medicineGastroenterologyRegimenCancerPopulationChemotherapyOncologyPathologyBiology

Abstract

fetched live from OpenAlex

Abstract In this retrospective study, Erb-B2 expression was assessed in 106 patients using Paraffin-Embedded Tissue (PET) to determine the prognostic value in Epithelial Ovarian Carcinoma (EOC) patients diagnosed at Saskatoon Cancer Center between the years 1983-1995. Relationship between Erb-B2 positivity and patient tumor characteristics was assessed for Overall Survival (OS) and Relapse-Free Survival (RFS) by Kaplan-Meier method. Based on the intensity of stain with a polyclonal antibody (A485, 1/400 dilution), cases with markedly intense cytoplasmic and membranous immunoreactivity were classified as Erb-B2 over-expressors. Erb-B2 was overexpressed in 13 (12%) cases. The mean age of the patients was 56 years (range 18-84 years). The patient population consisted of 64 Stage I and II, Early Stage (ES) and 36 cases with Stage III and IV Advanced Stage (AS). Data on histologic grade was available in 81 cases. 58 patients received platinum-containing regimen, 13 melphalan, and in 9 cases combination chemotherapy. Erb-B2 expression did not influence OS and RFS in these patients. Similarly, there was no significant relation to OS and RFS between Erb-B2 and age, grade, and patients with No Evidence of Disease (NED). Of the 64 cases with ES disease, 16 cases had Grade 2 tumor with Erb-B2 over-expression in 4 cases. Grade 2 tumors with Erb-B2 overexpression indicated significant relationship to OS and RFS, p=0.01, (median = 30 months, CI: 26 - 68) and p=0.05, (median = 15 months, CI: 13 - 68). Furthermore, in 21 cases with ES, Endometrioid histology and Erb-B2 expressors 6/21 (28%) experienced significantly shorter OS compared to non-expressors p=0.005, (median = 48 months, CI: 22 - 74) (mean = 134 months, CI: 124 - 144). In conclusion, Erb-B2 overexpression could be detected in only limited EOC cases in PET and appears to have no prognostic influence. Additionally, endometrioid carcinoma and grade 2, ES certainly reflect the importance of sub-group analysis. In ovarian carcinoma distribution of stage, histology, and grading of tumor cells are conventional markers for prognosis. Finally, Erb-B2 status detected by immunohistochemistry, in a subgroup of patients with high-degree of HER2 positivity/focal amplification may likely have better clinical outcome with anti-HER2 agents. Citation Format: Kavitha Advikolanu Rao, Anthony Magliocco, Andrew Maksymiuk. Evaluation of Erb-B2 expression from archival tumor tissue in early stage epithelial ovarian carcinoma patient prognosis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 775.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.405
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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