Lung cancer as a subsequent neoplasm: A report from the Childhood Cancer Survivor Study (CCSS).
Bibliographic record
Abstract
10551 Background: Lung cancer has been reported as a subsequent neoplasm (SN) in childhood cancer survivors. We aimed to assess the prevalence of and risk factors for lung cancer in the CCSS. Methods: Among 25,654 five-year survivors participating in the CCSS, lung cancer was self-reported and then confirmed by pathologic record review. Cancer treatment exposures were evaluated including chemotherapy and chest radiation by field size (none, small, large) and in a dose group (0-10 Gy, 10-30 Gy, 30-40 Gy, and > 40 Gy). Standardized incidence ratios (SIR) were calculated using rates from the Surveillance, Epidemiology, and End Results program. Hazard ratios (HR) were estimated for demographic and treatment variables using Cox proportional-hazards models. Results: Forty-two survivors developed subsequent malignant lung cancer (SIR 4.0, 95% CI 2.9-5.4), including 25 carcinomas, 7 mesotheliomas and 10 others. Two additional benign neoplasms were also identified. The cumulative incidence of lung SNs was 0.18% at 30 years (95% CI 0.10-0.25). Median time from primary diagnosis was 28 years (range 11-46); median age at diagnosis was 45 years of age (range 15-65). A multivariable model, including all covariates with a p-value < 0.2 in univariate analysis, showed significant associations between lung cancer and older age at diagnosis (HR 10.5, 95% CI 1.4-76.4, for 15-21 years vs. 0-4 years), as well as with primary diagnoses (relative to leukemia, HR 8.7, 95% CI 1.1-66.0, for Hodgkin lymphoma; HR 20.7, 95% CI 1.3-331.0 for neuroblastoma; and HR 21.4, 95% CI 2.3-202.7, for bone cancer). In a treatment model, maximum chest radiation dose (HR 4.1, 95% CI 1.4-11.7, for 30-40 Gy; and HR 8.1, 95% CI 3.0-22.2, for > 40 Gy, relative to 0-10Gy), but not sex, smoking status, or chemotherapy exposures, was associated with lung cancer. Notably, six survivors who developed lung cancer received no radiation and of these, five had a primary bone cancer. At the end of follow-up, 65.9% of survivors with lung cancer were deceased vs. 14.1% of survivors without lung cancer ( p < 0.001). Conclusions: Survivors of childhood cancer are at increased risk for developing lung cancer associated with exposure to high doses of chest radiotherapy. To our knowledge, this is the first study to describe associations with neuroblastoma and bone cancer. Future studies to understand additional treatment-related risk factors beyond chest radiotherapy dose are needed.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.002 |
| 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 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".