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Record W2887617683 · doi:10.1158/1538-7445.am2018-2654

Abstract 2654: Immunologic and prognostic correlates of WISP1 in prostate cancer

2018· article· en· W2887617683 on OpenAlexaff
Pierre-Olivier Gaudreau, Sylvie Clairefond, Pierre-Luc Boulay, Pavel Chrobák, Bertrand Allard, Sandra Pommey, Fred Saad, Marian F. Young, John Stagg

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsProstate cancerMedicineOncologyStromal cellCancerCancer researchProportional hazards modelInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background: Avoidance of immune destruction and tumor-promoting inflammation are equally important cancer hallmarks. In the context of prostate cancer, inflammatory markers and high levels of immune infiltrates have been associated with shorter biochemical recurrence (BCR)-free survival. WNT1 Inducible Signaling Pathway (WISP1) has been implicated in prostate cancer metastasis and the regulation of inflammation in diverse benign diseases. Thus, the objectives of this study were: 1) to assess the prognostic value of WISP1 in human prostate cancer, and 2) to determine the association of WISP1 to the inflammatory landscape specific to this disease. Methods: A tumor microarray (TMA) was constructed with radical prostatectomy specimens of 285 prostate cancer patients. Multicolor manual immunofluorescence (IF) was performed to simultaneously detect WISP1, CD8 and cytokeratins 8 and 18. WISP1 expression levels were determined by the mean fluorescence intensity (MFI) in stromal, epithelial, cytoplasmic and nuclear (DAPI) areas in each core, and CD8+ cell density was determined for each compartment by dividing cell count by the percentage of the core occupied by the compartment. Finally, the prostate cancer TCGA dataset (n = 548) was used to validate the prognostic value of WISP1 mRNA expression, as well as its association to CD8+ lymphocytes using previously validated gene signatures (Becht et al., 2016). Results: IF analyses of our TMA revealed that high levels of WISP1 in normal adjacent epithelium are significantly associated with shorter BCR-free survival in Kaplan-Meier (log-rank = 4.246, p = 0.039) and univariate Cox regression analyses (hazard ratio = 1.477; p = 0.042), but not in multivariate Cox regression analyses (hazard ratio = 1.381; p = 0.101). Furthermore, a significant correlation was found between WISP1 expression and CD8+ cell density. Gene expression analyses further showed that WISP1-high prostate tumors are associated with a CD8+ lymphocyte gene enrichment profile, and confirmed that patients with WISP1-high prostate tumors have reduced BCR-free survival (Wilcoxon rank, p = 0.003). Conclusions: Overall, our results support a negative prognostic association for WISP1 as well as a proinflammatory role. WISP1 may represent a relevant target for the improvement of prostate cancer immunotherapy. Citation Format: Pierre-Olivier Gaudreau, Sylvie Clairefond, Pierre-Luc Boulay, Pavel Chrobak, Bertrand Allard, Sandra Pommey, Fred Saad, Marian Young, John Stagg. Immunologic and prognostic correlates of WISP1 in prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2654.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

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

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 head0.052
GPT teacher head0.401
Teacher spread0.349 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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Citations0
Published2018
Admission routes1
Has abstractyes

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