The prognostic and predictive value of pre-treatment hematologic markers for oropharyngeal carcinoma stratified by HPV status and treated with definitive (chemo) radiation
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The literature of hematological biomarker performance in oropharynx cancer is conflicted, likely due to heterogeneity of the cohorts studied, limiting clinical application. To resolve this, we analyze the predictive and prognostic power of the pre-treatment hematologic markers total lymphocyte count (TLC), total neutrophil count (TNC), total monocyte count (TMC), and neutrophil-lymphocyte ratio (NLR), for a large oropharynx cohort receiving definitive (chemo)radiotherapy ((C)RT). MATERIALS AND METHODS: All OPC patients treated at a single academic center with definitive (C)RT between 2005-2018 were included. The actuarial rates of locoregional control (LRC) and distant control (DC) were calculated using competing risks methods, while overall survival (OS) was estimated using the Kaplan-Meier method. Multivariable analysis (MVA) was applied to assess the prognostic and predictive value of the TLC, TMC, TNC, and NLR, adjusted for known prognostic factors. A Bonferroni correction was applied with a significance threshold of p < 0.01, due to consideration of multiple markers. RESULTS: A total of 1,515 OPC patients were included (HPV-positive 1,151; HPV-negative 364). The median follow-up was 5.5 years, and 469 deaths were recorded. A significant interaction between the association of TLC and overall survival (OS) and the use of chemotherapy was identified for HPV-positive disease (p < 0.001). Hence, analysis was performed separately to determine the association of TLC with the outcome for the CRT and RT alone cohorts for HPV-positive OPC. On MVA, TLC was only prognostic for HPV-positive OPC when receiving CRT (OS adjusted HR (aHR) 0.51 (0.35-0.74), p < 0.001), with improved outcomes seen with higher TLC. TLC was also predictive for HPV-positive OPC, with a larger benefit to OS from the addition of concurrent cisplatin seen as TLC increased. On MVA, NLR, TNC, and TMC did not show a significant prognostic value in HPV-positive or HPV-negative OPC (p > 0.01 for all markers). CONCLUSION: In this large and homogenous cohort of OPC patients receiving definitive (C)RT, TLC was found to be a prognostic and predictive biomarker for patients with HPV-positive OPC receiving CRT, but not RT alone nor in HPV-negative disease. No other assessed marker was prognostic. TLC may inform the stratification of patients for investigation of novel treatment strategies in HPV-positive OPC. Prospective validation of this finding is required.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".