- Access through your institution
Original article
Life expectancy in pancreatic neuroendocrine cancerSummary
Background
The prognoses widely reported for pancreatic cancer reflect the very poor survival associated with the most common histological type, exocrine adenocarcinoma. We calculated life expectancies for patients with less common pancreatic neuroendocrine tumors (PNETs), and also for the subsets of these patients who survive 1 and 5 years post-diagnosis, all of which carry a significantly better prognosis. Results for 1- and 5-year PNET survivors appear not to have been previously reported, nor have life expectancies (average long-term survival times) been given.
Methods
We identified 5287 cases of PNET in the SEER US national database, 1973–2013. The Kaplan–Meier estimator was used to compute empirical survival probabilities and median survival times for functioning (n = 279) and non-functioning PNET (n = 5008) cases. The Cox proportional hazards regression model was used to examine univariate associations of survival with covariates including patient age, sex, race, cancer stage, tumor grade, surgical treatment, and calendar year. A multivariate multiplicative hazard Poisson regression model estimated mortality rates for all combinations of the covariates. The rates were used to construct actuarial life tables, which gave life expectancies for male and female patients according to age, cancer stage, tumor grade, histology (functioning versus non-functioning), surgical treatment status, and time since diagnosis. These life expectancies were compared with age- and sex-specific figures from the US general population.
Results
Life expectancy in PNET is lower than that of the US general population and varies significantly according to patient age, cancer stage, tumor grade, mode of treatment, and time since diagnosis. For example, it is near normal for persons aged 70 and older who undergo surgical resection of localized well-differentiated (i.e., grade I) tumors. By contrast, persons with metastatic high-grade tumors not amenable to surgery have life expectancies of only 1 to 4 years depending on patient age. Functioning PNETs were associated with somewhat lower mortality than non-functioning within the first few years after diagnosis, though no major differences were observed long-term. Positive factors for survival were younger age, localized stage, low tumor grade, and surgical treatment. Survival improved over the 1973–2013 study period: on average mortality rates fell by 1.2% per year after controlling for changes in the patient population. Life expectancy increased markedly with time since diagnosis: those surviving 1 and 5 years post-diagnosis had longer additional life expectancies.
Conclusions
Life expectancies of patients with PNETs may be markedly reduced from normal, but even in the worst cases their prognoses remain significantly better than that of patients with the more common pancreatic adenocarcinomas. In some very favorable cases, the life expectancy is near-normal, especially amongst 1- and 5-year survivors. This information can be used to counsel patients.
Introduction
Pancreatic cancer is relatively rare, with approximately 13 new cases and 12 deaths per 100,000 population per year in the United States [1]. Overall survival prognosis is exceptionally poor, with only approximately 8% of patients surviving 5 years post-diagnosis [1]. Unlike in many other forms of cancer, there do not appear to have been significant improvements in survival over the past few decades [1].
However, the outcome statistics are dominated by exocrine adenocarcinomas, which account for approximately 90% of cases [2]. While patients with this histological type often have median survival times of less than 1 year [2], prognoses for those with the less common pancreatic neuroendocrine tumors (PNETs) appear to be significantly better [2], [3], [4], [5]. For example, the 2008 study of Yao et al. reported a median survival time of 5 years from diagnosis [3].
The seminal work of Fesinmeyer et al. [2] together with further research by others [3], [4], [5], [6], [7] identified various risk factors related to survival in PNETs. Their results, however, were limited to relatively short-term survival probabilities (up to 5 years post-diagnosis) and were stratified by only one or two risk factors at a time, which has only limited utility in providing accurate prognoses for individual patients. For example, Keutgen et al. [8], [9] reported univariate survival curves and medians based on age, grade, location, and other factors, but did not provide results specific to any two factors or a combination of factors.
More recent studies have investigated recurrence and survival based on revised WHO 2010 and 2017 diagnostic criteria and various clinical markers [10], [11], [12], [13], [14], [15]. Insufficient time has passed, however, to investigate long-term survival based on refined clinical characteristics (such as Ki67 proliferative index, mitosis rate, lymph node ratio, p53 and rb1) [11].
Further, none of these works contained either life expectancies (the total average survival time) or conditional figures (e.g., for those who survive 1 year post-diagnosis). That is, to our knowledge, there have been no studies that specifically computed life expectancies with comparison to the general population. Nor have there been any studies reporting the subsequent survival of PNET patients who had already survived 1 or 5 years post-diagnosis.
The present study updates and expands on previous work, especially Keutgen et al. [8], [9] by developing a multivariate prediction model that simultaneously accounts for patient age and sex, cancer stage, tumor grade and histology, and surgical treatment status. Using this model, we examine trends in survival over time, controlling for these factors. Primarily, we use the model to obtain current life expectancy (i.e. mean survival time) estimates from the time of diagnosis, and also conditional life expectancy estimates for 1- and 5-year survivors. The latter may be particularly relevant and helpful to patients who have survived the initial treatment and are then naturally concerned about their future prospects. Finally, we compare our results to normal figures for the US general population, to highlight to what extent survival in functional and non-functional PNET is diminished.
Section snippets
Data source and cohort selection
The Surveillance, Epidemiology, and End Results (SEER) database, managed and maintained by the National Cancer Institute (NCI), is the largest source of information on cancer incidence and survival in the United States. The registries that provide patient information for SEER represent approximately 28% of the US population (based on the 2010 census). We queried the 2015 edition of the SEER database which includes over 8.2 million cases diagnosed between 1973 and 2013 in the United States [16].
Patient characteristics
Characteristics of the 5287 PNET cases are presented in Table 1. The mean age at diagnosis was 58 years and 54% were male. The large majority of cases (95%) were non-functioning histological types. Some 54% of all cases were diagnosed as distant stage and surgery was performed in 52% overall. Tumor grade was missing in 56% of cases, but amongst those with known grade the majority were well-differentiated grade I.
Because non-functioning histologies made up the large majority of cases, the
Discussion
As would be expected, we found PNET to be associated with reduced life expectancy, with an overall empirical median survival time of 4.1 years from diagnosis. Though this is considerably lower than the median survival time for persons of similar age and sex in US the general population, it is roughly 8 times longer than the 6-month median survival time for the more common pancreatic adenocarcinomas.
The present study indicates that survival prognosis varies dramatically according to patient
Limitations
The use of SEER's localized, regional, distant (LRD) staging classification is crude by comparison with the more refined AJCC staging systems based on TNM, and more recent WHO 2010 and 2017 divisions (PNET G1, G2, NEC). We chose to work with the simpler LRD system for three reasons. Firstly, it was much more complete (i.e., only 5% missing cf. AJCC 45% cf. no data in SEER using WHO 2017). Secondly, it allowed for a consistent staging classification, which is important when assessing trends in
Conclusion
Life expectancies of patients with pancreatic neuroendocrine tumors are generally lower than general population figures, but even in the worst cases their prognoses remain significantly better than that of patients with the more common pancreatic adenocarcinomas. In some very favorable cases, the life expectancy is near-normal, especially amongst 1- and 5-year survivors. These results underscore the importance of early detection and treatment in improving outcomes overall.
Funding
None.
Disclosure of interest
The authors declare that they have no competing interest.
Acknowledgements
None.
References (22)
- et al.
Validation of the 2010 WHO classification and a new prognostic proposal: a single centre retrospective study of well-differentiated pancreatic neuroendocrine tumours
Pancreatology
(2016)
- V Sallinen et
al.
Outcomes of resected nonfunctional pancreatic neuroendocrine tumors: do size and symptoms matter?
Surgery
(2015)
- L Boninsegna et al.
Malignant pancreatic neuroendocrine tumour: lymph node ratio and Ki67 are predictors of recurrence after curative resections
Eur J Cancer
(2012)
- R Teo et al.
Validation and comparison between current prognostication systems for pancreatic neuroendocrine neoplasms: a single-institution experience with 176 patients
Surgery
(2017)
- XM Keutgen et al.
Malignant-functioning neuroendocrine tumors of the pancreas: a survival analysis
Surgery
(2016)
- B Lawrence et al.
The epidemiology of gastroenteropancreatic neuroendocrine tumors
Endocrinol Metab Clin North Am
(2011)
- TR Halfdanarson et al.
Pancreatic neuroendocrine tumors (PNETs): incidence, prognosis and recent trend toward improved survival
Ann Oncol
(2008)
- National Cancer Institute. Surveillance, Epidemiology, and End Results Program. Cancer stat facts: pancreatic cancer....
- MD Fesinmeyer et al.
Differences in survival by histologic type of pancreatic cancer
Cancer Epidemiol Biomarkers Prev
(2005)
- JC Yao et al.
One hundred years after “carcinoid”: epidemiology of and prognostic factors for neuroendocrine tumors in 35,825 cases in the United States
J Clin Oncol
(2008)
Pancreatic endocrine neoplasms: epidemiology and prognosis of pancreatic endocrine tumors
Endocr Relat Cancer
(2008)
Cited by (15)
Recommended articles (6)
© 2018 Elsevier Masson SAS. All rights reserved.