Abstract A058 Response of neuroblastoma patient-derived xenografts to cyclophosphamide + topotecan enables identification of gene expression patterns associated with drug resistance
Bibliographic record
Abstract
Abstract Neuroblastoma (NBL) is the most common extra-cranial solid tumor with <60% long-term survival in high-risk patients. Approximately 15% of high-risk NBL patients develop progressive disease (PD) during induction chemotherapy. As tumor biopsies are often not obtained at time of PD, identifying underlying genetic/genomic features that contribute to disease progression is challenging. Patient-derived xenografts (PDX) established from NBL cells in bone marrow aspirates or blood samples obtained pre-therapy and at time of PD can be phenotypically and molecularly characterized to potentially identify biomarkers predictive of treatment outcome in high-risk NBL patients. Thirty-five high-risk patient tumor, marrow, or blood samples, 16 at diagnosis (DX) and 19 at PD, were received via Children’s Oncology Group (COG) protocol ANBL00B1 and established as PDXs. PDXs were classified by response to chemotherapy (cyclophosphamide, 30mg/kg + topotecan, 0.6 mg/kg daily for 5 days every 21 days, total of 3 cycles) as non-responders (NR) and responders (R), the latter then divided into partial responders (PR) and complete responders (CR). The gene expression in the PDXs was analyzed by RNA-sequencing, and the expression profiles were analyzed by differential analysis (DEGs) via edgeR, binomial regression model, and student’s t-test to identify the marker genes for NR group. The markers were validated using real-time RT-PCR. PDX cyclo/topo response was: non-response (NR, n=13), partial response (PR, n=9), and complete response (CR, n=13). The event-free survival in all treatment groups was significantly extended relative to their control (P < 0.001). Nine of 13 (69%) of the NR PDXs were established from post-mortem PD (PD-PM) samples while nine of thirteen (69%) of the CR group were from diagnosis (DX) samples, demonstrating the clinical relevance of the PDX models. The RNA-seq data analysis identified 639 differentially expressed genes across the NR versus response groups. A regression model and t-test significance further filtered these genes to define a signature comprised of 21 genes for the NR group (P < 1.8e-12). When assessing only DX PDX models, a set of 26 genes was identified as a signature for the NR group (P < 4.1e-05). WNT signaling and Hedgehog pathways were the two most highly activated in the NR group relative to the R group. Of the 639 differentially expressed genes, we investigated nine genes that showed highly significant differential expression by RT-PCR, and seven of the nine genes tested (P < 0.05). Response of PDXs to cyclophosphamide/topotecan was greater for pretherapy (DX) PDXs than PD-PM PDXs. The gene expression signature of NR PDXs can potentially provide a biomarker to identify patients destined to have suboptimal responses to induction chemotherapy. Genes overexpressed in NR PDXs provide potential molecular targets to reverse drug resistance. In addition, the well-characterized and clinically relevant panel of PDXs will be valuable in preclinical studies of novel therapeutic approaches for high-risk neuroblastoma patients. Citation Format: Nighat Noureen, Harry May, In-Hyoung Yang, Kristyn McCoy, Jonas Nance, Diana Ixlamati-Nava, Meredith S Irwin, Michael D. Hogarty, Charles P. Reynolds, Min H. Kang. Response of neuroblastoma patient-derived xenografts to cyclophosphamide + topotecan enables identification of gene expression patterns associated with drug resistance [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 A058.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".