Abstract B064: Prevalence and clinical relevance of clonal hematopoiesis in metastatic urologic malignancies
Bibliographic record
Abstract
Abstract Introduction: Clonal hematopoiesis (CH) is an age-related process whereby hematopoietic progenitor cells with specific mutations gain a proliferative advantage, resulting in populations that can be detected in blood. CH is a major confounder in plasma cell-free DNA (cfDNA) assays that do not profile patient-matched white blood cell (WBC) DNA to distinguish circulating tumor DNA (ctDNA) somatic mutations from those with hematopoietic origin. We aimed to characterize CH in patients with advanced urologic cancers and clarify the potential for CH to interfere with plasma-based tumor genotyping. Methods: We applied error-corrected targeted DNA sequencing (median 2200X) to matched cfDNA and WBC DNA from 301 patients with advanced urothelial cancer (UC) or renal cell carcinoma (RCC) enrolled in a provincial biobank, using a 57 gene panel capturing key CH and urologic cancer genes. CH mutations were defined as those detected in both WBC and cfDNA with a variant allele frequency (VAF) exceeding a 0.25% limit of detection and supported by at least 5 mutant reads. In contrast, ctDNA mutations were required to be exclusively detected in plasma, with a cfDNA VAF ≥5 times the VAF in WBC. Results: 73% (221/301) of patients had ≥1 CH mutation with a VAF above 0.25% (35% of patients had a variant above 2% VAF), and CH- patients were younger than CH+ (RCC: 56 vs 68.5, p<0.01; UC: 63 vs 72, p<0.01). There was no difference in CH prevalence by biological sex. There was no difference in overall survival according to CH status (UC: [CH+] 13 vs [CH-] 16 months, p=0.98; RCC: [CH+] 33 vs [CH-] 49 months, p=0.77), in contrast to the presence of ctDNA mutations which is an established prognostic factor linked with shorter overall survival (UC: [ctDNA+] 10 vs [ctDNA-] 23 months, p<0.01; RCC: [ctDNA+] 15 vs [ctDNA-] 49 months, p<0.01). CH+ patients carried CH mutations most commonly within hematologic malignancy-associated genes (e.g. DNMT3A [58%] and TET2 [26%]), although genes linked to DNA damage response such as TP53 (10%) and ATM (9%) were also mutated. PPM1D was mutated more frequently in UC compared to RCC within CH+ patients (UC: 22%, RCC: 9%, p<0.01), likely attributable to platinum chemotherapy exposure prior to blood collection in 50% of the UC cohort. Importantly, a notable proportion of mutations in UC- or RCC-relevant driver genes originated from CH rather than cancer, including 28% and 65% of mutations falling in TP53 and ATM, respectively. Finally, randomly downsampling sequencing reads from WBC DNA suggested that 500X coverage is sufficient to resolve 90% of CH events with >1% VAF. Conclusion: CH was highly prevalent in patients with advanced urologic malignancies but had no impact on survival in this heterogeneous real-world cohort. CH commonly affected clinically-relevant driver genes that are also altered in solid cancers, potentially causing false-positive genotyping and inflating tumor mutation burden estimates in plasma-only ctDNA assays. Incorporating WBC sequencing to liquid biopsy assays can help correctly identify tumor-originating mutations. Citation Format: Aslı D Munzur, Jack V W Bacon, Francine Fishbein, Gráinne Donnellan, Cecily Q Bernales, Karan Parekh, Gillian Vandekerkhove, David C Müller, Cameron Herberts, Lucia Nappi, Corinne Maurice-Dror, Kim N Chi, Bernhard J Eigl, Christian Kollmannsberger, Maryam Soleimani, Alexander W Wyatt. Prevalence and clinical relevance of clonal hematopoiesis in metastatic urologic malignancies [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr B064.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".