Abstract 1203: Incidence of AJCC7 stage III or regionally advanced cutaneous melanoma in the United States
Notice bibliographique
Résumé
Abstract Background: Incidence of stage III/regional melanoma by patient characteristics can help estimate the number of high-risk patients (pts) potentially eligible for adjuvant treatment in a rapidly evolving field and guide the design of future clinical trials based on real-world data. The study describes the incidence of AJCC7 stage III/regional melanoma in the US (a) over time and (b) by melanoma prognostic factors. Methods: Pts newly diagnosed with invasive melanoma were identified in the US Surveillance, Epidemiology, and End Results (SEER) cancer registry (years 2010 -2014; n = 106,195). Stage III melanoma was defined based on the AJCC7 classification (n = 7,669); pts classified as AJCC7 stages I/II but with reported evidence of lymphatic metastasis were considered regionally advanced and included (n =169). Annual incidence was defined as the proportion of individuals in the general population who developed stage III/regionally advanced melanoma over a one-year period (the denominator included the full or age/sex-specific population, as appropriate). Results: During the study period, 7,838 (7.4%) pts were diagnosed with stage III/regional melanoma . The incidence of invasive melanoma has increased from year 2010 to year 2014: from 14.16 to 16.15/100,000 for stages I-IV combined and from 1.25 to 1.50/100,000 for stage III/regional melanoma. Based on the 2014 incidence and the most recent age-specific census population data, it is estimated that 5,109 pts were newly diagnosed in year 2016 with stage III/regional melanoma. In 2014, the incidence of stage III/regional melanoma was higher in elderly than adults and children (incidence per 100,000: 5.16 vs 1.33 and 0.08, respectively) and in males than females (1.79 vs 1.23). Table 1 presents incidence estimates by melanoma characteristics. Conclusions: The results of this analysis indicate an increase in stage III/regional melanoma incidence from 2010 to 2014 and a high incidence of stage III melanoma with poor prognostic factors. Table 1.Stage III1/regional melanomaIncidence in year 20142 (estimate of newly diagnosed in the US in 20163) By tumor thickness4≤ 0.8 mm0.12/ 100,000 population (n=393)0.81 - 1mm0.04 / 100,000 population (n=143)1.01 - 2 mm0.31/ 100,000 population (n=1,028)2.01 - 4 mm0.29/ 100,000 population (n=990)> 4 mm0.37/ 100,000 population (n=1,270)By ulcerationYes0.54/ 100,000 population (n=1,858)No0.62/ 100,000 population (n=2,099)Unknown0.34/ 100,000 population (n=1,152)By number mitoses per square mmNone0.05/ 100,000 population (n=174)1 - 50.58/ 100,000 population (n=1,961)6 - 100.20/ 100,000 population (n=672)≥ 110.17/ 100,000 population (n=588)Unknown0.50/ 100,000 population (n=1,713)Any LN involvement1.40/ 100,000 population (n=4,725)1 LN0.78 / 100,000 population (n=2,622)2 - 3 LNs0.34 / 100,000 population (n=1,155)> 3 LNs0.16/ 100,000 population (n=531)Unknown number of LNs0.12/ 100,000 population (n=416)Microscopic nodal metastasis5 (regardless of the number of LNs)0.81/ 100,000 population (n=2,725)Satellite / in-transit without LN involvement 0.09/100,000 population (n=311)LN, lymph node; [1] Defined using the American Joint Committee on Cancer (AJCC) 7 edition classification. [2] New cases diagnosed in 2014 (most recent year available in SEER) / 100,000 population; based on mid-year general population in 2014 for the geographical areas covered by the SEER (118,955,244 individuals). [3] Based on age-specific incidence and most recent population estimates (year 2016) from the US Census Bureau (age < 21 years = 86,391,289; age 21- 64 years = 187,492,029; age > 64 years = 49,244,195). [4] "Unknown" not shown if incidence <0.05 /100,000 population. [5] Includes pts identified with clinically occult (microscopic) LN metastases only, pts with isolated tumor cells only in LN, and/or pts who underwent sentinel LN biopsy and were found to have LN metastasis. Citation Format: Ahmad M. Tarhini, Sameer R. Ghate, Antonio Nakasato, Raluca Ionescu-Ittu, Sherry Shi, Briana Ndife, Rebecca Burne, François Laliberté, Mei Sheng Duh. Incidence of AJCC7 stage III or regionally advanced cutaneous melanoma in the United States [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1203.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».