P35.22 WITHDRAWN
Bibliographic record
Abstract
pulmonary lymphoepithelioma-like carcinoma (PLELC), a rare subtype of non-small cell lung cancer (NSCLC).However, the understanding of the treatment for EBV-infected NSCLC was still elusive.Immunotherapy that targets PD-1/PD-L1 has been utilized as a novel clinical treatment in recent years.Here, we focus on the genomic landscapes of lung cancers with EBV-infection and its correlation with PD-L1.Methods: Patients with both PD-L1 expression detection and genomic information were screened in HapLab database.HaploX 605-gene panel sequencing, covering 1.31 MB genome, was performed to analyze the genomic data of patients.PD-L1 expression was detected by immunochemistry.Bioinformatic analysis of genomic mutations and the correlation with the expression of PD-L1 were studied.Results: We analyzed the genomic profiles of 23 EBV-infected NSCLC patients.11 cases of lung squamous-cell carcinoma (LUSC), 4 cases of lung adenocarcinoma (LUAD), 5 cases of lung pulmonary lymphoepithelioma-like carcinoma (PLELC), and 3 unidentified cases were included in this study.Collectively, 93 genome mutations of 67 genes were detected in 23 EBV-infection cases.Top 3 frequently mutated genes were TP53 (27%), CSMD3 (18%) and KMT2D (18%).The EBV-infected patients exhibited a low level of tumor mutation burden (TMB).The median TMB was 1.53 Muts/MB (ranging from 0 to 14.5 Muts/MB).Only 3 of 23 patients (13.0%) harbored the canonical driver mutations in NSCLC.Interestingly, 10/23 patients (43.5%) showed high expression of PD-L1, while 13/23 patients (56.5%) showed low expression.We also assessed the expression of PD-L1 in lung cancers with no EBV-infection (867 cases).Only 118/867 (13.6%) patients without EBV-infection presented high PD-L1 expression, while 749/867 (86.4%) presented low PD-L1 expression.Conclusion: EBV-infection can occur in different kinds of NSCLC, including LUSC, LUAD, and PLELC.TMB and driver mutations of EBV-infected NSCLC were not frequently observed as normal lung cancers, implying a different mechanism leading to EBVinfected lung cancers.Interestingly, EBV-infected NSCLC tended to have a high correlation with the expression of PD-L1.This may give a hint on the application of checkpoint blockade immunotherapy on EBV-infected NSCLC.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.880 | 0.836 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".