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Record W2056564024 · doi:10.1097/pas.0b013e3181ff400e

Morphologic Spectrum of Immunohistochemically Characterized Clear Cell Carcinoma of the Ovary

2010· article· en· W2056564024 on OpenAlexaff
Deborah F. DeLair, Esther Oliva, Martin Köbel, Antonio Macías, C. Blake Gilks, Robert A. Soslow

Bibliographic record

VenueThe American Journal of Surgical Pathology · 2010
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPathologyImmunohistochemistryNuclear atypiaPleomorphism (cytology)BiologyClear cellCarcinomaCuboidal CellMedicine

Abstract

fetched live from OpenAlex

Establishing a diagnosis of ovarian clear cell carcinoma (O-CCC) can be subject to significant interobserver variation. Accurately diagnosing this tumor is important because of its chemoresistance and reported association with Lynch syndrome. The spectrum of the morphologic features of O-CCC has not been well described in a series composed of immunohistochemically characterized cases. A total of 155 cases diagnosed as O-CCC were retrieved from the files of 3 institutions to analyze architectural and cytologic features. The immunohistochemical features of these cases have been reported earlier. A comprehensive list of features was recorded, including, but not limited to, architectural patterns, nuclear appearance, cytoplasmic characteristics, and mitotic index. Between 1 and 13 slides were available for review for each case. The cases were divided into 2 groups based on morphologic characteristics, those with features shared by the large majority (the first group, n=138) and those that showed unusual characteristics (second group, n=17). Tumors in the first group typically showed a mixture of architectural patterns, the most frequent being papillary and tubulocystic. Papillae, usually small and round and lacking hierarchical branching and tufting or stratification of more than 3 cells, were present at least focally in almost 3 of 4 cases. The cell shape was predominantly cuboidal, not columnar. Nuclear pleomorphism and prominent nucleoli were frequently present, but never diffusely. Clear cytoplasm was found in nearly every case and hobnail cells were common. Mitoses exhibited a range from 0 to 13 with an average of 3 to 4 per 10 high power fields. The second group of tumors showed numerous unusual morphologic characteristics, despite the presence of clear cytoplasm, including those typically seen in other ovarian epithelial tumors, such as serous and endometrioid carcinoma. Eighty-nine percent of tumors from the first group showed the expected "O-CCC immunophenotype" [hepatocyte nuclear factor (HNF) positive, and estrogen receptor (ER), progesterone receptor (PR), Wilms tumor 1 (WT1) and p53 negative], whereas 4% of tumors showed HNF positivity along with focal ER or PR expression. Seven percent of tumors were not immunoreactive with these markers. Twenty-nine percent of tumors in the second group showed the O-CCC immunophenotype, whereas 24% of tumors were p53 positive, 5% of tumors were WT1 positive, and the remaining cases were negative for all markers. Ninety-seven percent (112 of 117) of HNF-positive tumors in this series were classical O-CCC. Therefore, O-CCC has characteristic morphologic features and a specific, if not unique, immunophenotype in the vast majority of the cases. Clear cell-rich tumors with features that depart from the classical morphologic appearances described herein should suggest the possibility of an alternative diagnosis.

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)0.001
metaresearch head score (Gemma)0.002
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
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
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 head0.008
GPT teacher head0.242
Teacher spread0.234 · 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

Citations141
Published2010
Admission routes1
Has abstractyes

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