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Record W2519242424 · doi:10.18632/oncotarget.12022

Prognostic role and correlation of CA9, CD31, CD68 and CD20 with the desmoplastic stroma in pancreatic ductal adenocarcinoma

2016· article· en· W2519242424 on OpenAlexaffabout
Angela Diana, Lai Mun Wang, Zenobia D’Costa, Abul Kalam Azad, Michael A. Silva, Zahir Soonawalla, Paul Allen, Stanley K. Liu, W. Gillies McKenna, Ruth J. Muschel, Emmanouil Fokas

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsSunnybrook Health Science CentreHealth Sciences Centre
FundersMedical Research CouncilEuropean CommissionKidani Memorial TrustCancer Research UK
KeywordsCD68MedicinePathologyStromaStromal cellCD31Tumor progressionImmunohistochemistryTumor microenvironmentPancreatic cancerCD20AdenocarcinomaInternal medicineOncologyCancer

Abstract

fetched live from OpenAlex

// Angela Diana 1, * , Lai Mun Wang 2, * , Zenobia D’Costa 1 , Abul Azad 1 , Michael A. Silva 3 , Zahir Soonawalla 3 , Paul Allen 2 , Stanley Liu 4 , W. Gillies McKenna 1 , Ruth J. Muschel 1 , Emmanouil Fokas 1, 5 1 Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, UK 2 Department of Pathology, Oxford University Hospital NHS Foundation Trust, Oxford, UK 3 Department of Surgery, Oxford University Hospital NHS Foundation Trust, Oxford, UK 4 Department of Radiation Oncology, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada 5 Current Address: Department of Radiotherapy and Oncology, Goethe University of Frankfurt, Frankfurt, Germany * Joint first authors Correspondence to: Emmanouil Fokas, email: emmanouil.fokas@oncology.ox.ac.uk Keywords: hypoxia, vessel density, macrophages, prognosis, desmoplastic stroma Received: July 22, 2016 Accepted: September 09, 2016 Published: September 14, 2016 ABSTRACT We assessed the prognostic value of hypoxia (carbonic anhydrase 9; CA9), vessel density (CD31), with macrophages (CD68) and B cells (CD20) that can interact and lead to immune suppression and disease progression using scanning and histological mapping of whole-mount FFPE pancreatectomy tissue sections from 141 primarily resectable pancreatic ductal adenocarcinoma (PDAC) samples treated with surgery and adjuvant chemotherapy. Their expression was correlated with clinicopathological characteristics, and overall survival (OS), progression-free survival (PFS), local progression-free survival (LPFS) and distant metastases free-survival (DMFS), also in the context of stroma density (haematoxylin-eosin) and activity (alpha-smooth muscle actin). The median OS was 21 months after a mean follow-up of 20 months (range, 2–69 months). The median tumor surface area positive for CA9 and CD31 was 7.8% and 8.1%, respectively. Although total expression of these markers lacked prognostic value in the entire cohort, nevertheless, high tumor compartment CD68 expression correlated with worse PFS ( p = 0.033) and DMFS ( p = 0.047). Also, high CD31 expression predicted for worse OS ( p = 0.004), PFS ( p = 0.008), LPFS ( p = 0.014) and DMFS ( p = 0.004) in patients with moderate density stroma. High stromal and peripheral compartment CD68 expression predicted for significantly worse outcome in patients with loose and moderate stroma density, respectively. Altogether, in contrast to the current notion, hypoxia levels in PDAC appear to be comparable to other malignancies. CD31 and CD68 constitute prognostic markers in patient subgroups that vary according to tumor compartment and stromal density. Our study provides important insight on the pathophysiology of PDAC and should be exploited for future treatments.

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 score0.001
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
Bibliometrics0.0010.000
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 head0.010
GPT teacher head0.254
Teacher spread0.244 · 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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Citations17
Published2016
Admission routes2
Has abstractyes

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