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Abstract PO-077: Establishment of a novel living biobank of patient-derived pancreatic cancer organoids with genomic and drug response characterization

2021· article· en· W3212434637 on OpenAlexaffabout
Irene Y. Xie, Laura Tamblyn, Karen Ng, Eugenia Flores‐Figueroa, Julie M. Wilson, Gun Ho Jang, Amy X. Zhang, Stephanie Ramotar, Anna Dodd, Nikolina Radulovich, Jennifer J. Knox, Grainne M. O’Kane, Steven Gallinger, Faiyaz Notta

Bibliographic record

VenueCancer Research · 2021
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity Health NetworkOntario Institute for Cancer ResearchUniversity of Toronto
Fundersnot available
KeywordsFOLFIRINOXGemcitabineMedicineKRASPancreatic cancerIrinotecanOncologyInternal medicineTrametinibErlotinibOxaliplatinCancerColorectal cancerBiologyKinase

Abstract

fetched live from OpenAlex

Abstract Advanced pancreatic cancer has a dismal prognosis and current treatment options (FOLFIRINOX, Gemcitabine/nab-paclitaxel [GnP]) are associated with toxicity. Although some patients achieve partial responses, most progress rapidly and become chemorefractory. While RNA subtypes, genomic alterations, and protein biomarkers have prognostic value, predictive biomarkers to guide therapy are needed. Patient-derived organoids (PDOs) are an increasingly popular model for predicting patient responses to standard-of-care therapy and investigating personalized therapy options. We present a novel biobank of 42 PDOs and drug profiling data with 5 standard of care agents and 3 kinase inhibitors. Tissue was processed from n=103 biopsies from 97 patients with a confirmed pathologic diagnosis of advanced (Stage III-IV) pancreatic ductal adenocarcinoma who presented to a single Canadian tertiary care centre between 2017-2020. Matched WGS was available in all cases. Our PDO generation success was 42/103 (41%). We observed a trend towards decreased establishment in tumors that were KRAS WT, TP53 WT, or had higher HRDetect scores. Conversely, polyploidy, SMAD4 WT, and major imbalances in mutant KRAS were associated with successful PDO establishment. These associations were not statistically significant after multiple comparisons correction, but suggest selection for success with more aggressive tumors. Drug profiling was performed on all 42 PDOs with the individual agents of FOLFIRINOX (5-FU, irinotecan, oxaliplatin), GnP (gemcitabine, paclitaxel), and three targeted agents (afatinib, trametinib, and talazoparib). Combination testing was also performed for gemcitabine + paclitaxel. Drug responses were measured through both viability and growth rate (GRMetrics). We found that GRMetrics minimized effects from different PDO growth rates. Matched clinical data were available for 23 patients who received FOLFIRINOX, 11 patients who received GnP, and one patient who received gemcitabine monotherapy. Similar to previous studies, we found that in vitro PDO responses to 5-FU, irinotecan, and GnP were correlated with patient responses based on RECIST criteria. Interestingly, and similar to previous reports in colorectal cancer PDOs, we found that oxaliplatin responses were not predictive of RECIST response. As expected, PDOs were resistant to afatinib (EGFRi), which reflects negative clinical trials, and may also be masked by use of EGF in growth media. A range of responses to trametinib (MEKi) were seen but were not correlated with KRAS allelic dosage. A similar range of response was seen to talazoparib (PARPi), but did not correlate with oxaliplatin response or HRDetect scores. In summary, we have established a novel biobank of PDOs from advanced pancreatic cancer patients. Notably, PDOs were less likely to establish from tumors that were KRAS WT or HR-deficient, even though these patients are likely to benefit from targeted approaches. Further investigation is required to develop PDO use in clinical drug prediction and drug discovery. Citation Format: Irene Y. Xie, Laura Tamblyn, Karen Ng, Eugenia Flores-Figueroa, Julie M. Wilson, Gun Ho Jang, Amy X. Zhang, Stephanie Ramotar, Anna Dodd, Nikolina Radulovich, Jennifer J. Knox, Grainne M. O'Kane, Steven Gallinger, Faiyaz Notta. Establishment of a novel living biobank of patient-derived pancreatic cancer organoids with genomic and drug response characterization [abstract]. In: Proceedings of the AACR Virtual Special Conference on Pancreatic Cancer; 2021 Sep 29-30. Philadelphia (PA): AACR; Cancer Res 2021;81(22 Suppl):Abstract nr PO-077.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.046
GPT teacher head0.367
Teacher spread0.321 · 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 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
Published2021
Admission routes2
Has abstractyes

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