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Abstract B074: Clonal decomposition and DNA replication states defined by scaled single-cell DNA and RNA sequencing suggest clone-specific therapeutic vulnerabilities in neuroblastoma

2024· article· en· W4402267856 on OpenAlexaboutno aff
Jaydutt Bhalshankar, Angela Bellini, Irène Jiménez, Cécile Thirant, Elnaz Saberi-Ansari, Yasmine Iddir, Alexandra Saint Charles, Charlotte Butterworth, Amira Kramdi, Virginie Raynal, Sylvain Baulande, Didier Surdez, Sakina Zaïdi, Gaëlle Pierron, Ángel M. Carcaboso, Birgit Geoerger, Andreï Zinovyev, Olivier Delattre, Isabelle Janoueix‐Lerosey, Gudrun Schleiermacher

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsnot available
Fundersnot available
Keywordsclone (Java method)DNA sequencingBiologyDNAComputational biologyCancer researchMolecular biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Background: In neuroblastoma (NB), intratumor heterogeneity (ITH) is frequently observed, but the role of cell-to-cell allele-specific copy number alterations in phenotypic variation, clonal evolution and treatment response remains to be determined. Here we investigate ITH, timing of specific genomic aberrations, single-cell replication timing and the co-evolution of the genome and transcriptome in NB tumors at single-cell resolution, with an aim to analyse subclonal dynamics and clone-specific response or resistance under targeted therapeutic pressure. Methods: In addition to germline/tumor bulk whole exome sequencing (WES), ultra-low depth (0.25x) single-cell whole-genome DNA sequencing (scDNAseq) was performed using 10x genomics Chromium single-cell CNV (scCNV) kit and 9410 tumor cells were characterized from 14 patient-derived xenografts (PDX) NB-models and 4 tumor biopsies from NB-patients, either at diagnosis (n=7), progression (n=3) or relapse (n=8). Single-cell RNA sequencing (scRNAseq) data was obtained from the same PDX and patient tumor samples (Thirant et al, 2023). 6/14 PDX models were subjected to different treatment combinations (targeted treatment with/without chemotherapy) and bulk WES was performed at two time-points, pre- and post-treatment. Results: Both monoclonal (n=7) and polyclonal (n=11) genomes were determined by allele and haplotype specific copy number (CN) alteration using both scDNAseq and scRNAseq data analysis, with 2 to 11 clones observed per polyclonal NB tumor. Whole genome duplication events (n=7) were observed in both polyclonal and monoclonal genomes. Known driver CN (segmental loss in chr1p and chr11q and gain at chr17q, or MYCN/ALK amplification) or somatic mutations (ALK/ATRX/TP53/NF1) were early clonal events.Study of replication timing (RT) based on scDNAseq revealed significant differences in RT between the MYCN amplified (n=7) and non-amplified groups (n=5), with NB tumors without MYCN amplification (no MNA) characterized by a predominance of late replicating domains, in contrast to MYCN amplified (MNA) tumors, which are enriched in early replicating domains In a PDX model of interest, scDNAseq analysis showed parallel copy number evolution of two distinct clones, subclone s1/s2. Data integration of clonal mutational profiles with pre- and post-targeted therapy (Lorlatinib) revealed clone-specific treatment response. Subclone s2 was partially responding with extinction of a sub-set of somatic alterations, whereas no change was observed in subclone s1. The replication timing (RT) profile of these two clones, subclone s1 (early-RT) and s2 (late-RT) were mutually exclusive. Genotype to phenotype analysis revealed subclone s1 genotype was preferentially expressed at transcriptomic level. Conclusion: Together, these results determine the evolutionary trajectories of NB tumors, linked to distinct replication timing and highlight opportunities for targetable early clonal alteration detection. Citation Format: Jaydutt Bhalshankar, Angela Bellini, Irene Jimenez, Cécile Thirant, Elnaz Saberi-Ansari, Yasmine Iddir, Alexandra Saint Charles, Charlotte Butterworth, Amira Kramdi, Virginie Raynal, Sylvain Baulande, Didier Surdez, Sakina Zaidi, Gaelle Pierron, Angel Montero Carcaboso, Birgit Geoerger, Andrei Zinovyev, Olivier Delattre, Isabelle Janoueix-lerosey, Gudrun Schleiermacher. Clonal decomposition and DNA replication states defined by scaled single-cell DNA and RNA sequencing suggest clone-specific therapeutic vulnerabilities in neuroblastoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr B074.

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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.375
Teacher spread0.309 · 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
Published2024
Admission routes1
Has abstractyes

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