Abstract A039 Circulating tumor DNA in pleuropulmonary blastoma (PPB)
Bibliographic record
Abstract
Abstract Background: Pleuropulmonary blastoma (PPB) is a rare but often aggressive tumor seen primarily in infants and young children. Type I PPB is a purely cystic lesion, Type II PPB is cystic and solid and Type III PPB is a purely solid sarcoma. Types II and III PPB are aggressive sarcomas, treated with surgery and intensive, multiagent chemotherapy with or without radiation. Novel therapies to diagnose PPB and progression/recurrence are urgently needed. Nearly all PPBs have one of a specific set of somatic missense variants in the DICER1 gene in the RNase IIIb domain termed the “hotspot” region; most of these variants occur in a specific set of codons (E1705, D1709, G1809, D1810, E1813). One of eleven specific base substitutions are detected in 92% of PPBs. We hypothesized that a limited panel could be designed to detect these “hotspot” variants to facilitate noninvasive detection of PPB and monitor disease status. Methods: Children enrolled in the International PPB/DICER1 Registry (www.ppbregistry.org). Informed consent (and assent when applicable) was obtained. Pathology was centrally reviewed. Treatment remained at the discretion of the treating institutions; clinical course including imaging, surgery and disease status were abstracted. Tumor size was analyzed using largest solid tumor dimension. Tumors were sequenced to determine the tumor-specific RNase IIIb missense variant. Blood samples were collected in Streck tubes at specified timepoints including pre-chemotherapy and between cycles 4 and 5 of chemotherapy and analyzed using digital droplet PCR to determine the presence of the RNase IIIb variant in the extracted circulating tumor DNA (ctDNA). Results: Overall, 35 individuals with Type II or III PPB provided blood samples and had clinical and laboratory data available for analysis. In Type II or III PPB, pre-chemotherapy, 9/16 children had detectable ctDNA, 2/16 indeterminate and 5/16 undetectable ctDNA. Nine of 11 children with unresected tumors had detectable ctDNA versus 0/5 patients with resected tumors (p=0.005). The two patients with unresected tumors and indeterminate/undetectable ctDNA had smaller tumors (1 and 2.5 cm in largest dimension compared with 7.1 to 19.4 cm for the remaining cases). Among the 11 patients with unresected tumors, Spearman’s rank correlation between tumor size and number of variant droplets per PCR reaction was 0.59 (p=0.061). Seventeen individuals had samples drawn after cycle 4 and prior to cycle 5 of chemotherapy. Of these, 1/17 had detectable ctDNA, 5/17 indeterminate and 11/17 undetectable ctDNA. The single unresected patient at this timepoint had detectable ctDNA vs. 0/16 who had undergone resection by this timepoint. (p=0.059). Conclusion: In children with Types II and III PPB, detection of ctDNA is associated with resection status and tumor size. Ascertainment of ctDNA in children with Type II and III PPB represents a potential noninvasive detection method. Further research is needed to clarify the ability of current technologies to detect minimal residual disease in DICER1-related cancers. Citation Format: Kris Ann P. Schultz, Amanda L. Field, Dave Watson, Paige HR Mallinger, Alexander T. Nelson, Anna Dybvik, Nicole Frederickson, Melissa Abraham, Paige Reimche, Yoav H. Messinger, Louis P. Dehner, Chenyu Xu, Anne K. Harris, D. Ashley Hill. Circulating tumor DNA in pleuropulmonary blastoma (PPB) [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 A039.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".