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Record W2606569138 · doi:10.18632/oncotarget.17253

Pancreatic cancer ascites xenograft-an expeditious model mirroring advanced therapeutic resistant disease

2017· article· en· W2606569138 on OpenAlexafffundabout
Talia Golan, Chani Stossel, Michael Schvimer, Dikla Atias, Sharon Halperin, Ella Buzhor, Maria Raitses‐Gurevich, Keren Cohen, Sara Pri‐Chen, Julie M. Wilson, Robert E. Denroche, Ilinca M. Lungu, John M.S. Bartlett, Faridah Mbabaali, Yosef Yarden, Nishanth Belugali Nataraj, Steven Gallinger, Raanan Berger

Bibliographic record

VenueOncotarget · 2017
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity Health NetworkOntario Institute for Cancer Research
FundersOntario Institute for Cancer Research
KeywordsMedicinePancreatic cancerCancerOncologyInternal medicineGeneral surgery

Abstract

fetched live from OpenAlex

// Talia Golan 1, 2, * , Chani Stossel 1, * , Michael Schvimer 3 , Dikla Atias 1 , Sharon Halperin 1 , Ella Buzhor 1 , Maria Raitses-Gurevich 1 , Keren Cohen 1 , Sara Pri-Chen 4 , Julie Wilson 5 , Robert E. Denroche 6 , Ilinca Lungu 6 , John M.S. Bartlett 5 , Faridah Mbabaali 5 , Yosef Yarden 7 , Nishanth Belugali Nataraj 7 , Steven Gallinger 5, 6 and Raanan Berger 2, 8 1 Pancreatic Cancer Translational Research Laboratory, Oncology Institute, Sheba Medical Center, Tel Hashomer, Israel 2 Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel 3 Pathology Department, Sheba Medical Center, Tel Hashomer, Israel 4 Microsurgery Laboratory, Eye Institute, Sheba Medical Center, Tel Hashomer, Israel 5 Ontario Institute for Cancer Research, Toronto, Canada 6 Department of Surgery, University Health Network, Toronto, Canada 7 Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel 8 Oncology Institute, Sheba Medical Center, Tel Hashomer, Israel * These authors contributed equally to this work Correspondence to: Talia Golan, email: Talia.Golan@sheba.health.gov.il Keywords: pancreatic ductal adenocarcinoma (PDAC), metastatic, ascites, whole genome sequencing (WGS), patient derived xenograft (PDX) Received: September 26, 2016      Accepted: April 04, 2017      Published: April 19, 2017 ABSTRACT Pancreatic ductal adenocarcinoma has limited treatment options. There is an urgent need for developing appropriate pre-clinical models recapitulating metastatic disease, the most common clinical scenario at presentation. Ascites accumulation occurs in up to 20–30% of patients with pancreatic cancer; this milieu represents a highly cellular research resource of metastatic peritoneal spread. In this study, we utilized pancreatic ascites/pleural effusion cancer cells to establish patient derived xenografts. Ascites/pleural effusion-patient derived xenografts were established from twelve independent cases. Xenografts were serially passed in nude mice and tissue bio-specimen banking has been established. Histopathology of emergent tumors demonstrates poorly to moderately differentiated, glandular and mucin producing tumors, mirroring morphology of primary pancreatic cancer tumors. Whole genome sequencing of six patient derived xenografts samples demonstrates common mutations and structural variations similar to those reported in primary pancreatic cancer. Xenograft tumors were dissociated to single-cells and in-vitro drug sensitivity screen assays demonstrated chemo-resistance, correlating with patient clinical scenarios, thus serving as a platform for clinically relevant translational research. Therefore, establishment of this novel ascites/pleural effusion patient derived xenograft model, with extensive histopathology and genomic characterization, opens an opportunity for the study of advanced aggressive pancreatic cancer. Characterization of metastatic disease and mechanisms of resistance to therapeutics may lead to the development of novel drug combinations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.057
Threshold uncertainty score0.879

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.074
GPT teacher head0.410
Teacher spread0.336 · 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 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

Citations34
Published2017
Admission routes3
Has abstractyes

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