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Record W2774290406 · doi:10.1111/his.13447

Low‐grade spindle cell proliferation in clear cell renal cell carcinoma is unlikely to be an initial step in sarcomatoid differentiation

2017· article· en· W2774290406 on OpenAlexaff
Özlem Tanas, Huying He, Petr Grossmann, Reza Alaghehbandan, Monika Ulamec, Květoslava Michalová, Kristýna Pivovarčíková, Delia Pérez‐Montiel, Ondřej Ondič, Ondřej Daum, Kristýna Procházková, Milan Hora, Michal Michal, Ondřej Hes

Bibliographic record

VenueHistopathology · 2017
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversity of British ColumbiaRoyal Columbian Hospital
FundersUniverzita Karlova v Praze
KeywordsImmunohistochemistryRenal cell carcinomaPathologySarcomatoid carcinomaClear cellBiologySpindle cell carcinomaMesenchymal stem cellCellMedicine

Abstract

fetched live from OpenAlex

AIMS: Spindle cell proliferation within clear cell renal cell carcinoma (ccRCC) is usually considered as a sarcomatoid differentiation. Low-grade spindle cell proliferation (LG-SCP) in ccRCC was first described in 2001. This phenomenon is not common and can pose diagnostic challenges, particularly in core biopsies. The aim of this study was to describe morphological, immunohistochemical and molecular characteristics of ccRCCs with LG-SCP. METHODS AND RESULTS: Eleven cases of ccRCC with LG-SCP were retrieved from approximately 21 000 renal tumours in our registry. Ten cases of conventional ccRCC and 10 cases of typical sarcomatoid ccRCC were included as control groups. Morphological and immunohistochemical characteristics of epithelial-mesenchymal transition (EMT) were analysed. Von Hippel-Lindau syndrome gene abnormalities were also analysed using molecular genetics. Among ccRCC with LG-SCP cases, there were five males and five females (clinical information was not available in one case) with a median age of 67 years (mean: 68.5, range: 60-81 years). Average tumour size was 7.1 cm (median:7.5, range:1.7-12 cm). Follow-up data were available in nine cases (mean: 44.78 months), with no aggressive behaviour seen. On average, LG-SCP areas constituted 5-80% of tumour volume (mean: 32.3%). Necrotic/regressed areas were seen in all cases ranging from 5% to 30%. LG-SCP was clearly epithelial, with no mitoses or any evidence of mesenchymal differentiation. Immunohistochemical profile of LG-SCP was consistent with 'conventional' ccRCC. Compared with sarcomatoid ccRCC, some EMT markers showed alteration in LG-SCP, including lower expression of N-cadherin and Zeb1 as well as higher expression of E-cadherin. However, there were no significant differences in EMT markers between LG-SCP and conventional ccRCC. Abnormalities in VHL (mutations, LOH3p) were found in six of 11 cases. CONCLUSIONS: Our findings showed that LG-SCP in ccRCC have comparable immunohistochemical and molecular characteristics to those seen in 'conventional' ccRCC. Further, immunohistochemical analysis of EMT markers showed that LG-SCP did not differ from 'conventional' ccRCC. We believe that LG-SCP is a part of morphological heterogeneity in ccRCCs and that they may not represent an initial stage of sarcomatoid differentiation. This is supported further by the fact that ccRCC with LG-SCP did not display more aggressive behaviour than 'conventional' ccRCC.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.035
GPT teacher head0.285
Teacher spread0.250 · 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".

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Citations14
Published2017
Admission routes1
Has abstractyes

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