Abstract 1203: Incidence of AJCC7 stage III or regionally advanced cutaneous melanoma in the United States
Bibliographic record
Abstract
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.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".