Abstract 2758: Methylome plasticity as a biomarker of treatment response in small cell lung cancer
Bibliographic record
Abstract
Abstract Background: Small cell lung cancer (SCLC) is an aggressive disease with poor treatment outcomes, in part due to epigenetic mechanisms driving tumor growth and resistance. Cell-free DNA methylome profiles in untreated SCLC can identify prognostic sub-groups, making it a useful biomarker. In this study, we hypothesize that changes in the cell free methylome of SCLC influence disease response to therapy and drive treatment resistance. Methods: Cell free methylated DNA immunoprecipitation followed by sequencing (cfMeDIP-seq) was performed on 34 baseline-relapse paired samples belonging to a cohort of SCLC patients treated at the Princess Margaret Cancer Centre (Toronto, Canada). Matched leukocyte DNA methylation profiles were incorporated to exclude the contribution of non-cancer methylation to the cfMeDIP signal and allow focused profiling of changes in the SCLC methylome through first-line treatment. The plasticity of the SCLC methylome was determined by subtracting the reads per kilobase of transcript per million mapped reads (RPKM) at the time of progression compared to the pre-treatment timepoint. A methylome demonstrated plasticity if it showed an increase or decrease in reads compared to the median RPKM across all samples in the cohort. Associations between methylation groups and relevant clinical data were identified. Kaplan-Meier and Cox regression analysis were performed to determine if methylome changes were associated with overall survival and progression-free survival, anchored from the time of SCLC diagnosis. KEGG pathways corresponding to the top differentially methylated windows between baseline and relapse pairs were identified and characterized. Results: Plasticity of the SCLC methylome were seen in 67% of patients (n=23/34). Methylome plasticity was found to be associated with a shorter time to progression from the end of first-line treatment (mean difference = 70 days; 95% CI 25-115, p = 0.0031). Accordingly, patients with greater methylome plasticity were more likely to be platinum resistant (57% vs. 17%; χ-squared p = 0.033). Cox regression showed that methylome plasticity was significantly associated with worse progression free survival (PFS) (adjusted hazard ratio [aHR] = 5.7, p = 0.0010) and overall survival (OS) (aHR = 1.9, p = 0.11), after adjusting for VA stage at diagnosis. Pathway analysis of differentially methylated windows mapped to genes related to neuronal polarity and axonal guidance, as well as Wnt signaling. Conclusion: Changes in cell-free DNA methylomes serve as a biomarker for treatment response in SCLC. Increased plasticity of the methylome is associated with shorter PFS. The underlying biology of this relationship may involve changes in pathways that govern neuronal change and established cancer-associated pathways. Citation Format: Danielle Benedict Sacdalan, Sami Ul Haq, Luna Jia Zhan, Janice J. Li, Vivek Philip, Scott V. Bratman, Geoffrey Liu, Benjamin H. Lok. Methylome plasticity as a biomarker of treatment response in small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2758.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".