Association of plasma tumor tissue modified viral HPV DNA (TTMV) with tumor burden, treatment type, and outcome: A translational analysis from NRG-HN002.
Notice bibliographique
Résumé
6006 Background: NRG-HN002 was a phase II trial that randomized patients with p16-positive oropharynx cancer to 60 Gy IMRT with concurrent cisplatin (IMRT-C) or 60 Gy accelerated IMRT. The protocol specified plasma collection at pretreatment (t0), intratreatment (20-28 Gy, t1), and 2 weeks to 1 month posttreatment (t2); at these timepoints, TTMV was assayed. A prespecified analysis evaluated: association of t0 TTMV to gross tumor volume (GTV) of primary and lymph nodes; t0-t1 decrease in TTMV; and association of t2 TTMV to treatment and outcome. Methods: TTMV was quantified as fragments/mL of plasma. If TTMV-HPV16 was not detected (<5 fragments/mL) or was a low value, the specimen was tested for TTMV-HPV18, -HPV31, -HPV33, and -HPV35. The distribution of t0 TTMV fragments was highly skewed, so these data were log-transformed; their correlation to GTV was measured by Pearson coefficient. Paired and two-sample t-tests were used to compare t0 and t1 log-transformed fragments within and between arms. Proportions of TTMV detection at t2 between arms were compared using Fisher’s exact test. Rates of undetectability and fragment clearance (≥94% reduction from t0) at t2 were estimated. The negative predictive value (NPV) was estimated for 2-year locoregional failure (LRF) and progression-free survival (PFS). Results: Of 306 eligible patients, 164 (53.6%) donated at least one specimen. The median collection time/RT dose was -2.6 days before RT (Q1-Q3, -4.0-0.0), at 24 Gy (22-28), and 25.5 days after RT end (18-31). The t0, t1, and t2 patient participation rates were 53.6%, 45.4%, and 42.5%. Zero TTMV fragments were detected in 10.4% at t0, 19.4% at t1, and 93.1% at t2. At t0, t1, and t2, 83.5%, 79.1%, and 6.2% had detectable TTMV; 78.0%, 73.4%, and 5.4% had TTMV-HPV16. In correlating GTV to t0 TTMV fragments, the Pearson coefficient was 0.30 (95% CI 0.15-0.44). In a linear model, T stage (p=0.01) and N stage (p=0.004) were positively associated with t0 TTMV fragments. On the IMRT-C arm, the t0-to-t1 mean change was -1.06 (p=0.0009), and for IMRT, it was -0.22 (p=0.35) (p=0.03 between arms). The t2 TTMV detectability rate was 3.3% for IMRT-C vs 8.7% for IMRT (p=0.28). The t2 TTMV undetectability rate was 93.8% and the fragment clearance rate was 95.4%. Two-year LRF and PFS were 6.2% and 91.4%. The NPV of t2 undetectability was 95.0% (95% CI 89.4-98.1) for 2-year LRF and 93.3% (95% CI 87.3-97.1) for 2-year PFS, and for fragment clearance was 94.3% and 92.7%. Conclusions: Feasibility of the TTMV-HPV assay in clinical trial specimens was established. About 10% of p16-positive patients had zero TTMV fragments at baseline. Among those with TTMV detectability, 6.6% had types other than TTMV-HPV16. T and N stage were positively associated with TTMV fragments. The IMRT-C arm achieved rapid TTMV undetectability unlike IMRT. The NPV of posttreatment undetectability was 93-95% for 2-year LRF and PFS.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».