MétaCan
Menu
Back to cohort
Record W4393096372 · doi:10.1158/1538-7445.am2024-5150

Abstract 5150: An immunohistochemical survey of predictive biomarkers for immunotherapy in ampullary carcinoma identifies strata with unique prognostic signatures

2024· article· en· W4393096372 on OpenAlexaffabout
Steve E. Kalloger, Joanna M. Karasinska, James T. Topham, Daniel J. Renouf, David F. Schaeffer

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsPancreas Centre (Canada)University of British Columbia
Fundersnot available
KeywordsImmunotherapyImmunohistochemistryMedicinePathologyCancerOncologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Introduction: Carcinomas located in the ampulla of Vater are a low incidence malignancy. Therapeutic options for early stage disease largely consist of pancreaticoduodenectomy followed by adjuvant chemotherapy with or without radiation. We explored the localization of CD8 and CD3 positive cells in addition to PDL-1 staining and mismatch repair deficiency markers to gain insight into the potential applicability of immunotherapy for patients with this disease. Methods: Excess material from clinically diagnosed cases collected between 1997 - 2013 were used to construct a duplicate 0.6mm core tissue microarray (TMA). All cases were derived from the Vancouver Coastal Health Region. Immunohistochemical staining was performed with the following markers: CD8, CD3, PD-L1, and the mismatch repair (MMR) markers: MSH2, MSH6, MLH1 and PMS2. CD3 and CD8 were quantified using localization within the tissue. PD-L1 was considered positive with >1% of cells stating positive. MMR markers were confirmed using full section and cases with convincing loss of any MMR marker were considered MMR deficient. Univariable disease specific survival analysis was performed to identify unique prognostic signatures and contingency analysis was performed to identify co-expression of the aforementioned biomarkers. Results: Ninety-eight cases were evaluable for all markers. The median age of the cohort was 69 [41 - 84] years. Forty-two percent were female. Adjuvant chemotherapy was provided to 15% of patients with the remainder undergoing post-surgical observation. Almost 90% were pT3 or pT4 and 48% had regional lymph node metastasis. CD3+ T-cells were either localized in the tumor stroma only (59%) or in both the stroma and epithelial compartments (41%). CD8+ T-cells were principally located in the stroma (66%) and both the epithelial and stroma (24%). Ten percent of cases had no CD8+ T-cells. PD-L1 staining was found in 10% of cases. MMR deficiency was found in 5% of cases. Improved prognostic signatures were found for cases with CD3+ and CD8+ T-cells in both the epithelial and stromal compartments (p <= 0.02). A trend towards a negative prognostic signature was observed for MMR deficient cases and for PD-L1 positive cases. The only significant positive association between biomarkers was found for CD3+ and CD8+ in both the epithelial and stromal compartments. Conclusions: The results of this analysis suggest that enhancement of an immune response yielding an increase CD3+ and CD8+ T-cells in the epithelial compartment may have a beneficial effect on prognosis. The relative scarcity of MMR deficiency in this disease is within the expected prevalence supported by other studies. Further exploration of the potential role of immunotherapy in immune enhanced subgroups of ampullary cancers is warranted. Citation Format: Steve E. Kalloger, Joanna Karasinska, James Topham, Daniel J. Renouf, David F. Schaeffer. An immunohistochemical survey of predictive biomarkers for immunotherapy in ampullary carcinoma identifies strata with unique prognostic signatures [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5150.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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

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 head0.077
GPT teacher head0.417
Teacher spread0.340 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueCancer ResearchSame topicSalivary Gland Tumors Diagnosis and TreatmentFrench-language works237,207