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Record W2323452145 · doi:10.1158/1538-7445.am2013-64

Abstract 64: Quality and feasibility of a protocol for simultaneous isolation of RNA, DNA and tissue for IHC from needle core lymph node biopsies in DLBCL adapted for multi-center trials.

2013· article· en· W2323452145 on OpenAlexaff
Torsten Holm Nielsen, Zuanel Diaz, Rosa Christodoulopoulos, Yao Lü, Samia Qureshi, Naciba Benlimame, Errol Camlioglu, Michael Crump, Ryan D. Morin, Nathalie Johnson, Tina Haliotis, Wilson H. Miller, Sarit Assouline, Koren K. Mann

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsPrincess Margaret Cancer CentreQuebec - Clinical Research Organization in CancerSimon Fraser UniversityMcGill University Health Centre
Fundersnot available
KeywordsMedicineBiopsyOncologySentinel lymph nodeLymph nodePathologyCancerInternal medicineBreast cancer

Abstract

fetched live from OpenAlex

Abstract Introduction: Personalized medicine strategies targeting specific aberrations unique to an individual tumor, are promising to become a new paradigm in the fight against cancer. Such tailored approaches rely on the thorough profiling of malignant tissues by high-throughput technologies followed by selection of appropriate treatment targeting tumor-specific aberrations. One fundamental challenge, whose resolution is necessary for any successful personalized medicine endeavor, is isolation of useful amounts of good quality molecular material for reliable tumor characterization in downstream assays. Here, we describe our standardized protocol for biopsy collection and results from a multi-center phase II clinical trial investigating the use of panobinostat with or without rituximab in relapsed diffuse large B-cell lymphoma (NCT01238692). Results: Biopsies are performed with patient consent, before treatment initiation and after 15 days of treatment, in patients with safely accessible lesions. Four needle core biopsies are collected at each time point using standard operating procedures to limit pre-analytical variability. Of these, one is preserved in formalin for immunohistochemical (IHC) analyses, while the remaining three are pooled together in RPMI 1640 media. These samples are sent to a central laboratory for further processing. The needle cores in RPMI 1640 undergo B-cell purification using a negative selection kit (StemCell Technologies). Isolation of tumor RNA and DNA is performed using a commercially available kit (Qiagen). Of the 23 patients currently enrolled, 16 (70%) have had a pre-treatment biopsy performed and of these, 7 (44% of those biopsied, 30% of all patients) have also had a post-treatment biopsy, demonstrating the feasibility of tissue collection at participating sites. We assess the effect of transport on the quality and yield of RNA and DNA as well as differences in quality and yield between pre-treatment biopsy vs. biopsies at day 15. The material isolated from these biopsies is evaluated for suitability in downstream applications, namely IHC, gene expression microarray and DNA exome sequencing. Conclusions: The development of standard operating procedures for the collection and processing of biospecimens is essential to control for pre-analytical variability inherent to multicenter trials. Our experience shows that this is both feasible and crucial to understanding of tumor molecular profile changes associated with treatment. Our protocol allows extraction of RNA and DNA of sufficient quality and quantity to permit downstream multi-dimensional analysis. Patient acceptance of research biopsies has been high although the rate of pre-treatment biopsies is greater than that of post-treatment biopsies. Finally, our work demonstrates that the timing of post-treatment biopsies is critical. Citation Format: Torsten H. Nielsen, Zuanel Diaz, Rosa Christodoulopoulos, Lu Yao, Samia Qureshi, Naciba Benlimame, Errol Camlioglu, Michael Crump, Ryan D. Morin, Nathalie Johnson, Tina P. Haliotis, Wilson H. Miller, Sarit Assouline, Koren K. Mann. Quality and feasibility of a protocol for simultaneous isolation of RNA, DNA and tissue for IHC from needle core lymph node biopsies in DLBCL adapted for multi-center trials. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 64. doi:10.1158/1538-7445.AM2013-64

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)0.011
metaresearch head score (Gemma)0.006
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: Protocol · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.006

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 head0.295
GPT teacher head0.511
Teacher spread0.215 · 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
GenreProtocol

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

Citations1
Published2013
Admission routes1
Has abstractyes

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