Survival benefits and disparities in radiation therapy for elderly patients with pancreatic ductal adenocarcinoma

Abstract

BACKGROUND

Older patients represent a unique subgroup of the cancer patient population, for which the role of cancer therapy requires special consideration. However, the outcomes of radiation therapy (RT) in elderly patients with pancreatic ductal adenocarcinoma (PDAC) are not well-defined in the literature.

AIM

To explore the use and effectiveness of RT in the treatment of elderly patients with PDAC in clinical practice.

METHODS

Data from patients with PDAC aged ≥ 65 years between 2004 and 2018 were collected from the Surveillance, Epidemiology, and End Results database. Multivariate logistic regression analysis was performed to determine factors associated with RT administration. Overall survival (OS) and cancer-specific survival (CSS) were evaluated using the Kaplan–Meier method with the log-rank test. Univariate and multivariate analyses with the Cox proportional hazards model were used to identify prognostic factors for OS. Propensity score matching (PSM) was applied to balance the baseline characteristics between the RT and non-RT groups. Subgroup analyses were performed based on clinical characteristics.

RESULTS

A total of 12245 patients met the inclusion criteria, of whom 2551 (20.8%) were treated with RT and 9694 (79.2%) were not. The odds of receiving RT increased with younger age, diagnosis in an earlier period, primary site in the head, localized disease, greater tumor size, and receiving chemotherapy (all P < 0.05). Before PSM, the RT group had better outcomes than did the non-RT group [median OS, 14.0 vs 6.0 mo; hazard ratio (HR) for OS: 0.862, 95% confidence interval (CI): 0.819–0.908, P < 0.001; and HR for CSS: 0.867, 95%CI: 0.823–0.914, P < 0.001]. After PSM, the survival benefit associated with RT remained comparable (median OS: 14.0 vs 11.0 mo; HR for OS: 0.818, 95%CI: 0.768–0.872, P < 0.001; and HR for CSS: 0.816, 95%CI: 0.765–0.871, P < 0.001). Subgroup analysis revealed that the survival benefits (OS and CSS) of RT were more significant in patients aged 65 to 80 years, in regional and distant stages, with no surgery, and receiving chemotherapy.

CONCLUSION

RT improved the outcome of elderly patients with PDAC, particularly those aged 65 to 80 years, in regional and distant stages, with no surgery, and who received chemotherapy. Further prospective studies are warranted to validate our results.

Key Words: Pancreatic ductal adenocarcinoma, Elderly, Radiotherapy, Effectiveness, Disparities, Surveillance, Epidemiology, and End Results

Core Tip: Older patients represent a unique subgroup of the cancer patient population, for which the role of cancer therapy requires special consideration. The effects of radiation therapy (RT) on the outcomes of elderly patients with pancreatic ductal adenocarcinoma (PDAC) are not well-defined in the literature. Herein, data were extracted from the Surveillance, Epidemiology, and End Results database to identify factors associated with RT administration and explore the impact of RT on survival in elderly patients with PDAC. This study highlights the survival benefit of RT in elderly patients with PDAC on a larger population scale and proposes possible obstacles to accessing treatment for elderly patients with PDAC.

INTRODUCTION

Pancreatic ductal adenocarcinoma (PDAC) is the 12^th most common malignancy and the 7^th most common cause of cancer-related deaths worldwide[1]. The incidence of PDAC increases with age and is more common in older adults. According to the World Health Organization (WHO), the number of elderly individuals with PDAC will increase as life expectancy increases[2]. Approximately 70% of cancers, including PDAC, are projected to be diagnosed in adults over 65 years of age by 2030[3].

Surgery is the only treatment option for this disease; however, only 10%–20% of patients are eligible for surgical resection[4]. Elderly patients with PDAC are frequently debilitated at baseline because of poor nutrition, pain, and jaundice, along with other symptoms; consequently, the majority of this population is medically inoperable or refuses to undergo surgery. Furthermore, intensive chemotherapy cannot be tolerated by some elderly patients due to their poor performance status; for these individuals, radiation therapy (RT) is considered a treatment option with a variety of goals (definitive, neoadjuvant, adjuvant, or palliative)[5]. Recent advances in computational modeling and medical imaging have enabled more precise treatment administration and decreased toxicity[6]. These advances are expected to continue to accelerate following a "double-exponential” growth pattern in the coming years. Recently, RT has become an increasingly popular nonsurgical treatment for multiple types of cancer in the elderly[7-9].

Elderly patients, defined by the WHO as those ≥ 65 years of age, represent a unique patient population for whom anticancer treatment requires special consideration. However, this population is under-represented in clinical trials because patients often have comorbid illnesses that exclude them from participation[10,11]. The management of these conditions remains largely unknown and is primarily extrapolated from retrospective studies including younger patients with small sample sizes. To date, no randomized studies on the utilization of RT in elderly patients with PDAC have been published, and the survival impact of RT in these patients has not yet been clarified.

To further investigate the survival benefits and disparities in RT for elderly patients with PDAC, data from the Surveillance, Epidemiology, and End Results (SEER) database were used to identify factors associated with RT administration and to explore the impact of RT on survival in PDAC patients over 65 years of age. This study highlights the survival benefit of RT in elderly patients with PDAC on a larger population scale and proposes potential obstacles to accessing treatment for elderly patients with PDAC.

MATERIALS AND METHODS

Population selection

PDAC cases were identified as those pathologically diagnosed between 2004 and 2018 as having primary malignant tumors of the pancreas using the International Classification of Diseases for Oncology, Third Edition histology codes 8140 and 8500 from the SEER program of the National Cancer Institute. The inclusion criteria were as follows: (1) Age ≥ 65 years; (2) Pathologic diagnosis of PDAC; and (3) Diagnosis of PDAC between 2004 and 2018. Samples were excluded based on the following criteria: (1) Diagnosis at autopsy or via death certificates; (2) Missing cancer-specific death classification; (3) Unknown survival time or survival < 1 mo; (4) Non-primary tumor or more than one primary tumor present; (5) Unknown radiation receipt information; and (6) Unknown follow-up information or incomplete demographic or clinical characteristics information. The detailed patient selection process is shown in Figure 1. All patient data in this study were collected from the SEER database using SEER*Stat v8.3.8 software (seer.cancer.gov/seerstat). The SEER Research Plus Data Agreement was signed and a license to analyze the study data was obtained in November 2021 (username: 15159-Nov2020).

Figure 1 Flow chart of study enrollment and exclusions. SEER: Surveillance, Epidemiology, and End Results; PDAC: Pancreatic ductal adenocarcinoma; ICD-O-3: International Classification of Diseases for Oncology, Third Edition; RT: Radiation therapy.

Variables and definition of endpoint

Demographic, clinicopathological, and therapeutic information was extracted along with survival information. Demographic characteristics included age at diagnosis, sex, race, year of diagnosis, and marital status. Clinicopathological features included the primary tumor site, SEER stage, tumor size, node status, and histological grade. Treatments included surgery at the primary site, radiotherapy, and chemotherapy. The survival information included survival months, survival months flag, vital status, and cancer-specific death classification. Patients were classified by age at diagnosis into two groups (65-80 years or > 80 years) based on classifications used in previous studies[12,13] and our clinical practice. Tumor size was divided into three groups according to the T classification of the American Joint Committee on Cancer 8^th edition (< 2 cm, 2-4 cm, or > 4 cm). Diagnoses between 2004 and 2010 were considered the earlier period, and those from 2010 to 2018 were defined as the latter period. SEER stages were classified as localized-, regional-, or distant-stage diseases.

The primary endpoint was overall survival (OS), and the secondary endpoint was cancer-specific survival (CSS). OS was defined as the time interval from the first PDAC diagnosis to death for any reason or the last follow-up. CSS was defined as the time interval from the diagnosis of PDAC to PDAC-related death or the last follow-up. Follow-up was initiated at the time of diagnosis, and all enrolled patients were effectively followed up. The final follow-up period ended on November 31, 2018.

Statistical analysis

The patients were divided into RT and non-RT groups. All categorical variables were represented as frequencies with percentages (%) and compared using the chi-square test. Propensity score matching (PSM) was performed to minimize the effects of potential confounding factors. To maximally inform the propensity of the dependent variable, all baseline characteristics except for the use of RT were included in the propensity score model. The variables included age at diagnosis, sex, race, year of diagnosis, marital status, primary site, SEER stage, tumor size, node status, histology grade, surgery to the primary site, and chemotherapy. Propensity scores were estimated using logistic regression modeling, with the receipt of RT as the dependent variable. In a nearest-neighbor matching algorithm without replacement, patients who received RT and those who did not were matched 1:1 using a caliper size of 0.05 times the standard deviation of the propensity. PSM was performed using the “Matchit” package in R software (version 4.0.1, The R Foundation for Statistical Computing).

Multivariate logistic regression analyses were performed to identify factors associated with RT administration. Univariate and multivariate analyses of OS and CSS were conducted using Cox proportional hazard regression before and after PSM. The covariates that had a P value < 0.05 in the univariate analysis were selected for further multivariate analysis. Survival curves were estimated using the Kaplan–Meier method and compared using the log-rank test. Subgroup analyses were performed using univariate Cox regression. All statistical analyses were conducted using R software (version 4.0.1; http://www.r-project.org). A two-tailed P value of < 0.05 was considered statistically significant.

RESULTS

Patient characteristics

Between January 2004 and December 2018, 20690 patients aged ≥ 65 years with PDAC were identified in the SEER database. In total, 12245 patients met the inclusion and exclusion criteria for the study. The patients were separated into two groups based on whether they underwent RT. Before PSM, there were 2551 cases of RT and 9694 cases of non-RT; after PSM, there were 2250 cases in each group. Table 1 summarizes the demographic and clinical features of patients before and after PSM. Before PSM, the RT group contained more younger, female, and married patients, had a higher proportion of patients with a primary site in the head, a higher proportion of patients with well or moderately differentiated tumors, a higher percentage of patients with positive node status and larger tumors (2–4 cm), and patients were more likely to undergo surgery and chemotherapy than the non-RT group. After PSM, all baseline covariates were well-balanced between the RT and non-RT groups (Table 1).

Table 1 Baseline demographic and clinical characteristics of elderly patients with pancreatic ductal adenocarcinoma between 2004 and 2018 from Surveillance, Epidemiology, and End Results database before and after propensity score matching.

Variables	Subgroups	Before propensity score matching, n (%) of patients (n = 12245)			After propensity score matching, n (%) of patients (n = 4500)
		RT	Non-RT	P value	RT	Non-RT	P value
All parents		9694 (79.2)	2551 (20.8)		2250 (50)	2250 (50)
Age (yr)	65-80	2160 (84.7)	7423 (76.6)	< 0.001	1884 (83.7)	1857 (82.5)	0.301
	> 80	391 (15.3)	2271 (23.4)		366 (16.3)	393 (17.5)
Year of diagnosis	2004-2010	1329 (52.1)	5195 (53.6)	0.186	1185 (52.7)	1184 (52.6)	1.00
	2011-2018	1222 (47.9)	4499 (46.4)		1065 (47.3)	1066 (47.4)
Sex	Female	1166 (45.7)	3203 (33.0)	< 0.001	898 (39.9)	875 (38.9)	0.502
	Male	1385 (54.3)	6491 (67.0)		1352 (60.1)	1375 (61.1)
Race	White	2021 (79.2)	7687 (79.3)	0.713	1784 (79.3)	1789 (79.5)	0.916
	Black	249 (9.8)	983 (10.1)		218 (9.7)	210 (9.3)
	Other	281 (11.0)	1024 (10.6)		248 (11.0)	251 (11.2)
Marital status	Married	1586 (62.2)	5384 (55.5)	< 0.001	1377 (61.2)	1359 (60.4)	0.604
	Unmarried	965 (37.8)	4310 (44.5)		873 (38.8)	891 (39.6)
Primary site	Head	1737 (68.1)	5414 (55.8)	< 0.001	1509 (67.1)	1536 (68.3)	0.635
	Body/tail	503 (19.7)	2739 (28.3)		452 (20.1)	428 (19.0)
	Other	311 (12.2)	1541 (15.9)		289 (12.8)	286 (12.7)
Histology grade	Grade I-II	692 (27.1)	1882 (19.4)	< 0.001	579 (25.7)	578 (25.7)	0.952
	Grade III-IV	472 (18.5)	1344 (13.9)		406 (18.0)	414 (18.4)
	Unknow	1387 (54.4)	6468 (66.7)		1265 (56.2)	1258 (55.9)
Node status	Negative	1457 (57.1)	6047 (62.4)	< 0.001	1295 (57.6)	1328 (59.0)	0.333
	Positive	1094 (42.9)	3647 (37.6)		955 (42.4)	922 (41.0)
Tumor size (cm)	< 2	229 (9.0)	909 (9.4)	< 0.001	195 (8.7)	207 (9.2)	0.821
	2-4	1491 (58.4)	5076 (52.4)		1317 (58.5)	1310 (58.2)
	> 4	831 (32.6)	3709 (38.3)		738 (32.8)	733 (32.6)
SEER stage	Localized	320 (12.5)	1019 (10.5)	< 0.001	285 (12.7)	306 (13.6)	0.606
	Regional	1813 (71.1)	3726 (38.4)		1547 (68.8)	1540 (68.4)
	Distant	418 (16.4%)	4949 (51.1)		418 (18.6)	404 (18.0)
Surgery	No	1592 (62.4)	7622 (78.6)	< 0.001	1439 (64.0)	1466 (65.2)	0.418
	Yes	959 (37.6)	2072 (21.4)		811 (36.0)	784 (34.8)
Chemotherapy	No	297 (11.6)	4304 (44.4)	< 0.001	297 (13.2)	310 (13.8)	0.601
	Yes	2254 (88.4)	5390 (55.6)		1953 (86.8)	1940 (86.2)

RT: Radiation therapy; SEER: Surveillance, Epidemiology, and End Results.

Factors associated with receiving RT

In the multivariate logistic regression model evaluating the factors associated with RT receipt (Table 2), greater tumor size and receiving chemotherapy were associated with RT administration, while older age, latter period of diagnosis, a primary site in the body or tail, and distant disease were associated with RT not being administered. Patients aged > 80 had a significantly lower likelihood of receiving RT [odds ratio (OR): 0.84, 95% confidence interval (CI): 0.74–0.97; P = 0.014]. Patients diagnosed between 2011 and 2018 had a lower likelihood of receiving RT (OR: 0.47, 95%CI: 0.42–0.52; P < 0.001), as did patients with a primary site in the body or tail (OR: 0.87, 95%CI: 0.77–0.99; P = 0.032). RT was less likely to be administered to patients with distant metastasis (OR: 0.17, 95%CI: 0.14-0.21; P < 0.001). Patients who had received chemotherapy were more likely to receive RT (OR: 7.05, 95%CI: 6.14–8.10; P < 0.001). The likelihood of receiving RT did not differ according to sex, race, marital status, histological grade, node status, or surgery.

Table 2 Logistic regression model of factors associated with receiving radiation in elderly patients with pancreatic ductal adenocarcinoma between 2004 and 2018 from Surveillance, Epidemiology, and End Results database.

Variables	Subgroups	Odds ratio (95%CI)	P value
Age (yr)	65-80	Reference
	> 80	0.84 (0.74-0.97)	0.014
Year of diagnosis	2004-2010	Reference
	2011-2018	0.47 (0.42-0.52)	< 0.001
Sex	Female	Reference
	Male	1.01 (0.91-1.11)	0.909
Race	White	Reference
	Black	1.1(0.93-1.3)	0.25
	Other	0.90 (0.77-1.05)	0.19
Marital status	Married	Reference
	Unmarried	0.92 (0.83-1.03)	0.144
Primary site	Head	Reference
	Body/tail	0.87 (0.77-0.99)	0.032
	Other	0.85 (0.73-0.98)	0.031
Histology grade	Grade I-II	Reference
	Grade III-IV	0.95(0.82-1.11)	0.55
	Unknow	1(0.87-1.16)	0.948
Node status	Negative	Reference
	Positive	0.99 (0.89-1.11)	0.864
Tumor size (cm)	< 2	Reference
	2-4	1.24 (1.04-1.48)	0.016
	> 4	1.23 (1.02-1.48)	0.033
SEER stage	Localized	Reference
	Regional	1.01 (0.86-1.19)	0.891
	Distant	0.17 (0.14-0.21)	< 0.001
Surgery	No	Reference
	Yes	1.02 (0.88-1.17)	0.804
Chemotherapy	No	Reference
	Yes	7.05 (6.14-8.1)	< 0.001

SEER: Surveillance, Epidemiology, and End Results; CI: Confidence interval.

Survival outcomes

Before PSM, the median OS was 14.0 mo (95%CI: 13.5–14.5 mo) in the RT group and 6.0 mo (95%CI: 5.8–6.2 mo) in the non-RT group. The 5-year OS rates were 8.34% (95%CI: 7.20%–9.67%) and 4.16% (95%CI: 3.70%–4.68%) for the RT and non-RT groups, respectively (P < 0.0001) (Figure 2A). The median CSS was 14.0 mo (95%CI: 13.4–14.6 mo) in the RT group and 6.0 mo (95%CI: 5.8–6.2 mo) in the non-RT group. The 5-year CSS rates were 9.26% (95%CI: 8.02%–10.70%) and 5.01% (95%CI: 4.48%–5.60%) in the RT and non-RT groups, respectively (P < 0.0001) (Figure 2B). RT significantly improved survival even after PSM. The median OS for the two groups was 14.0 mo (95%CI: 13.4–14.6 mo) and 11.0 mo (95%CI: 10.4–11.6 mo), respectively, and the 5-year OS rates were 8.1% (95%CI: 31.9%–51.4%) and 7.3% (95%CI: 14.5%–30.5%) for the RT and non-RT groups, respectively (P < 0.0001) (Figure 3A). The median CSS was 14.0 mo (95%CI: 13.4–14.6 mo) and 11.0 mo (95%CI: 10.4–11.6 mo), respectively, and the 5-year CSS rates were 9.10% (95%CI: 7.76%–10.70%) and 8.62% (95%CI: 7.33%–10.10%) for the RT and non-RT groups, respectively (P < 0.0001) (Figure 3B).

Figure 2 Kaplan–Meier curves for overall survival and cancer-specific survival of radiation therapy in elderly patients with pancreatic ductal adenocarcinoma before propensity score matching. A: Kaplan–Meier curve of overall survival; B: Kaplan–Meier curve of cancer-specific survival; OS: Overall survival; CSS: Cancer-specific survival; PSM: Propensity score matching.

Figure 3 Kaplan–Meier curves for overall survival and cancer-specific survival of radiation therapy in elderly patients with pancreatic ductal adenocarcinoma after propensity score matching. A: Kaplan–Meier curve of overall survival; B: Kaplan–Meier curve of cancer-specific survival; OS: Overall survival; CSS: Cancer-specific survival; PSM: Propensity score matching.

Prognostic factors

After PSM, univariate analysis revealed that RT, age, year of diagnosis, marital status, primary site, histological grade, SEER stage, node status, tumor size, surgery at the primary site, and chemotherapy were all significantly associated with OS and CSS. Other variables had no effect on OS or CSS in elderly patients with PDAC. In the multivariable analysis, RT, histological grade, SEER stage, node status, tumor size, surgery at the primary site, and chemotherapy were all statistically significant. RT was found to be an independent predictor of both OS [hazard ratio (HR): 0.818, 95%CI: 0.768–0.872, P < 0.001] and CSS (HR: 0.816, 95%CI: 0.765–0.871, P < 0.001) (Table 3). The results of univariate and multivariate analyses based on unmatched data were consistent with those predicted from matched data, except for race, which was identified as an independent prognostic factor in both OS and CSS (Supplementary Table 1).

Table 3 Cox proportional hazards regression for overall survival and cancer-specific survival of elderly patients with pancreatic ductal adenocarcinoma between 2004 and 2018 from Surveillance, Epidemiology, and End Results database after propensity score matching.

Variables	Subgroups	Overall survival				Cancer-specific survival
		Univariate analysis		Multivariate analysis		Univariate analysis		Multivariate analysis
		HR (95%CI)	P value	HR (95%CI)	P value	HR (95%CI)	P value	HR (95%CI)	P value
Age (yr)	65-80	Reference		Reference		Reference		Reference
	> 80	1.486 (1.367-1.615)	< 0.001	0.966 (0.852-1.095)	0.588	1.473 (1.352-1.605)	< 0.001	0.953 (0.838-1.084)	0.466
Year of diagnosis	2004-2010	Reference		Reference		Reference		Reference
	2011-2018	0.825 (0.774-0.880)	< 0.001	1.008 (0.894-1.137)	0.893	0.833 (0.780-0.889)	< 0.001	1.024 (0.905-1.159)	0.704
Sex	Female	Reference				Reference
	Male	0.997 (0.936-1.063)	0.932			0.986 (0.924-1.052)	0.67
Race	White	Reference				Reference
	Black	1.101 (0.988-1.227)	0.082			1.073 (0.959-1.201)	0.219
	Other	1.005 (0.907-1.114)	0.919			1.006 (0.905-1.117)	0.916
Marital status	Married	Reference		Reference		Reference		Reference
	Unmarried	1.217 (1.141-1.299)	< 0.001	1.061 (0.993-1.133)	0.08	1.226 (1.147-1.310)	< 0.001	1.065 (0.995-1.139)	0.068
Primary site	Head	Reference		Reference		Reference		Reference
	Body/tail	1.092 (1.006-1.185)	0.034	1.008 (0.927-1.096)	0.849	1.101 (1.013-1.197)	0.024	1.012 (0.929-1.103)	0.78
	Other	1.216 (1.106-1.336)	< 0.001	1.015 (0.922-1.118)	0.756	1.233 (1.120-1.358)	< 0.001	1.024 (0.929-1.130)	0.632
Histology grade	Grade I-II	Reference		Reference		Reference		Reference
	Grade III-IV	1.344 (1.219-1.482)	< 0.001	1.367 (1.240-1.508)	< 0.001	1.332 (1.204-1.473)	< 0.001	1.355 (1.224-1.500)	< 0.001
	Unknow	1.965 (1.818-2.125)	< 0.001	1.100 (1.005-1.204)	0.039	2.006 (1.851-2.173)	< 0.001	1.096 (0.999-1.203)	0.052
Node status	Negative	Reference		Reference		Reference		Reference
	Positive	0.835 (0.783-0.891)	< 0.001	1.209 (1.125-1.300)	< 0.001	0.837 (0.783-0.894)	< 0.001	1.227 (1.140-1.321)	< 0.001
Tumor size (cm)	< 2	Reference		Reference		Reference
	2-4	1.482 (1.317-1.668)	< 0.001	1.400 (1.242-1.578)	< 0.001	1.497 (1.325-1.692)	< 0.001	1.403 (1.239-1.587)	< 0.001
	> 4	1.854 (1.639-2.098)	< 0.001	1.505 (1.322-1.712)	< 0.001	1.875 (1.651-2.130)	< 0.001	1.492 (1.306-1.705)	< 0.001
SEER stage	Localized	Reference		Reference		Reference		Reference
	Regional	0.948 (0.860-1.045)	0.28	1.124 (1.009-1.252)	0.033	0.967 (0.874-1.070)	0.512	1.147 (1.026-1.282)	0.016
	Distant	2.058 (1.836-2.308)	< 0.001	1.723 (1.522-1.951)	< 0.001	2.154 (1.914-2.423)	< 0.001	1.782 (1.568-2.025)	< 0.001
Surgery	No	Reference		Reference		Reference		Reference
	Yes	0.337 (0.314-0.363)	< 0.001	0.352 (0.320-0.387)	< 0.001	0.322 (0.299-0.347)	< 0.001	0.334 (0.303-0.368)	< 0.001
Radiation	No	Reference		Reference		Reference		Reference
	Yes	0.850 (0.798-0.906)	< 0.001	0.818 (0.768-0.872)	< 0.001	0.851 (0.797-0.908)	< 0.001	0.816 (0.765-0.871)	< 0.001
Chemotherapy	No	Reference		Reference		Reference		Reference
	Yes	0.469 (0.428-0.513)	< 0.001	0.534 (0.485-0.589)	< 0.001	0.467 (0.425-0.512)	< 0.001	0.530 (0.480-0.586)	< 0.001

SEER: Surveillance, Epidemiology, and End Results; HR: Hazard ratio; CI: Confidence interval.

Subgroup analysis

To assess the effect of RT in the subpopulations, subgroup analyses before and after PSM were performed. Before PSM, RT benefited patients in all subgroups, except RT failed to significantly improve OS (P = 0.092) and CSS (P = 0.215) in patients with localized disease. The HRs and associated CIs from all subgroup analyses are graphically summarized in forest plots in Supplementary Figures 1 and 2. After PSM, as shown in the forest plots displayed in Figures 4 and 5, the results of the subgroup analysis demonstrated that RT had a significant advantage with respect to OS and CSS in the majority of subgroups. Given that age, stage, and treatment are critical independent risk factors for survival, the results of these particular subgroups were highlighted. Regarding age, clinical benefits from RT were observed in the patients aged 65 to 80 years (age: 65-80, OS: HR, 0.83; 95%CI: 0.77–0.89; P < 0.001; CSS: HR, 0.82; 95%CI: 0.77–0.88; P < 0.001; age > 80, OS: HR, 1.03; 95%CI: 0.89–1.20; P = 0.681; CSS: HR, 1.05; 95%CI: 0.90–1.23; P = 0.51). This sample of elderly population with PDAC was a highly heterogeneous group with patients representing all stages of the disease, and there were vast differences in the role of RT in this group. Because of this heterogeneity, the effect of RT on survival in the matched cohort at specific stages was explored. RT had a significant positive effect on OS and CSS for the regional-stage and distant-stage patients (regional-stage, OS: HR, 0.82; 95%CI: 0.76–0.89; P < 0.001; CSS: HR, 0.82; 95%CI: 0.76–0.89; P < 0.001; distant-stage, OS: HR, 0.70; 95%CI: 0.61–0.81; P < 0.001; CSS: HR, 0.69; 95%CI: 0.60–0.80; P < 0.001); in contrast, no significant survival difference was found between the non-RT and RT groups in localized-stage patients (localized-stage, OS: HR, 1.10; 95%CI: 0.92–1.32; P = 0.28; CSS: HR, 1.13; 95%CI: 0.94–1.37; P = 0.15). As for treatment, RT improved OS and CSS for patients who had no surgery (surgery, OS: HR, 0.94; 95%CI: 0.84–1.06; P = 0.323; CSS: HR, 0.95; 95%CI: 0.84–1.07; P = 0.37; no surgery, OS: HR, 0.79; 95%CI: 0.73–0.85; P < 0.001; HR, 0.79; 95%CI: 0.73–0.85; P < 0.001) or received chemotherapy (chemotherapy, OS: HR, 0.83; 95%CI: 0.77–0.89; P < 0.001; CSS: HR, 0.83; 95%CI: 0.77–0.89; P < 0.001; no chemotherapy, OS: HR, 0.97; 95%CI: 0.82–1.15; P = 0.734; HR, 1.00; 95%CI: 0.84–1.19; P = 0.98).

Figure 4 Subgroup analysis of radiation therapy or non-radiation therapy for overall survival in elderly patients with pancreatic ductal adenocarcinoma after propensity score matching. SEER: Surveillance, Epidemiology, and End Results; HR: Hazard ratio; RT: Radiation therapy; CI: Confidence interval.

Figure 5 Subgroup analysis of radiation therapy or non-radiation therapy for cancer-specific survival in elderly patients with pancreatic ductal adenocarcinoma after propensity score matching. SEER: Surveillance, Epidemiology, and End Results; HR: Hazard ratio; RT: Radiation therapy; CI: Confidence interval.

DISCUSSION

Using data from a relatively large sample size of patients from the SEER database, we found a survival benefit in elderly patients who received RT for PDAC. We showed that elderly patients with PDAC who were treated with RT had longer median OS and CSS outcomes than those who did not receive RT. Before PSM, the RT group had superior OS (median OS: 14.0 vs 6.0 mo, P < 0.0001) and CSS (median CSS: 14.0 vs 6.0 mo, P < 0.0001) with an 8-mo median survival advantage over the non-RT group. After PSM, the RT group still outperformed the non-RT group in terms of OS (median OS: 14.0 vs 11.0 mo, P < 0.0001) and CSS (median CSS: 14.0 vs 11.0 mo, P < 0.0001). Even after PSM, RT resulted in a 3-mo increase in median survival time. Furthermore, we performed multivariate Cox regression analysis to determine the independent impact of RT on survival. Before PSM, the RT group was found to have a superior OS (HR: 0.862; 95%CI: 0.819–0.908, P < 0.001) and CSS (HR: 0.867; 95%CI: 0.823–0.914, P < 0.001) with a lower mortality rate than the non-RT group. After PSM, the RT group consistently performed better than the non-RT group in terms of OS (HR: 0.818; 95%CI: 0.768–0.872, P < 0.001) and CSS (HR: 0.816; 95%CI: 0.765–0.871, P < 0.001). After excluding potential confounding factors, the above multivariate analysis results indicated that elderly PDAC patients have improved survival after receiving RT. Studies evaluating the use of RT in PDAC have been reviewed and discussed in the context of treating older patients[14-23]; Table 4 summarizes the characteristics and outcomes of these findings. The results of these studies indicate that RT appears to be tolerable in older patients and can be considered a viable treatment option for PDAC in this population, further confirming the conclusions of our study.

Table 4 Summary of studies on radiation therapy for elderly patients with pancreatic ductal adenocarcinoma.

Ref.	No. of patients	Median age (range), years	Clinical stage	Median dose (range), Gy	Median follow-up (months)	Technique	Treatment modality	OS1	Toxicities (%)
Davila et al[14], 2009	553	> 65	I-III	NR	NR	NR	Surg: 51%	NR	NR
							Surg + CRT: 31%
							Surg + CT: 9.0%
							Surg + RT: 9.0%
Miyamoto et al[17], 2010	42	78 (75–90)	I-III	48.1 (38.9–57.3)	11.7 (2.9–41.7)	3D-CRT/IMRT	CRT: 57.1%	mOS: 8.6 mo2	Acute (G ≥ 3): 49.0
							Surg + CRT: 40.5%	mOS: 20.6 mo3	Late (G ≥ 2): NR
							CRT + Surg: 2.4%
Horowitz et al[16], 2011	49	79 (75–90)	I-II	50.0	19 (2.6–57.4)	NR	Surg + CRT: 29.5%	mOS: 22.6 mo	NR
							Surg: 70.5%	5 yr-OS: 49.7%
Kim et al[19], 2013	26	86 (80–91)	I-IV	24 (22–36)	11.6 (3.5–24.6)	SBRT	RT ± CT: 100%	LC: 11.5 mo	Acute (G ≥ 3): 0.0
								MFS: 8.4 mo	Late (G ≥ 2): 0.0
								mOS: 7.6 mo
								2 yr-OS: 6.6%
Herman et al[20], 2015	33	> 65	NR	33	13.9 (3.9–45.2)	SBRT	CT+ RT + CT ± Surg: 89.8%	mOS: 11.0 mo	NR
							RT + CT ± Surg: 10.2%	2 yr-OS: 20%
Hayman et al[15], 2015	53	77 (> 70)	NR	50 (43.2–63.0)	36	NR	Surg: 30.4%	mOS: 21.1 mo	NR
							Surg + CT: 22.3%
							Surg + CRT: 47.3%
Yechieli et al[21], 2017	20	83.2 (77-90)	I-II	35 (30–36)	5.3 (2.3–26.2)	SBRT	RT: 100%	mOS: 6.4 mo	Acute (G ≥ 3): 0.0
								2 yr-OS: 7.7%	Late (G ≥ 2): 15.0
Zhu et al[22], 2017	417	73 (65–90)	II-IV	NR (30–46.8)	11 (4–28)	SBRT	CT + RT: 11.2%	LC: 10.0 mo	Acute (G ≥ 3): 0.5
							Surg + RT: 7.7%	PFS: 8.0 mo	Late (G ≥ 3): 0.0
							RT: 81.1%	MFS: 9.5 mo
								mOS: 10.0 mo
								1 yr-OS: 35.5%
Frakes et al[18], 2017	555	75 (70–88)	I-III	NR	NR	NR	Surg + RT: 100%	mOS: 19.0 mo	NR
Sutera et al[23], 2018	145	79 (70.1-90.3)	I-III	36 Gy/3f or 24 Gy/f	12.3 (6.0–23.3)	SBRT	Surg + RT: 30.3%	mOS: 40.0 mo
							CT + RT: 53.8%	1 yr-LC: 72%	Acute (G ≥ 3): 0.7
								2 yr-LC: 63%	Acute (G ≥ 2): 4.1
							RT: 15.9%	1 yr-MFS: 62%	Late (G ≥ 3): 1
								2 yr-MFS: 47%	Late (G ≥ 2): 2

¹Reported results refers only to patients treated with radiotherapy.

²Definitive chemoradiation.

³Adjuvant chemoradiation.

CRT: Chemoradiotherapy; CT: Chemotherapy; 3D-CRT: Three-dimensional conformal radiotherapy; IMRT: Intensity modulated radiotherapy; LC: Local control; MFS: Metastasis free survival; NR: Not reported; OS: Overall survival; RT: Radiation therapy; SBRT: Stereotactic body radiotherapy; Surg: Surgery; G: Grade.

In addition, lower histological grade, early SEER stage, negative node status, smaller tumor size, surgery at the primary site, and receiving chemotherapy were identified as independent favorable prognostic predictors for OS and CSS in elderly PDAC patients in the matched population. Histological grade, tumor stage, node status and tumor size are histological and biological characteristics of malignant neoplasms, which have been confirmed as prognostic features for OS in multiple malignancies, including PDAC[24-26]. Our results were consistent with those of previous studies[12,23,27], which have suggested that older patients are less likely than younger patients to accept or be prescribed surgical treatment that might extend their lives. Our study demonstrated that resection of the primary tumor could prolong survival in elderly patients with PDAC. A previous SEER database analysis revealed that elderly patients with PDAC who underwent cancer-directed surgical procedures had a higher survival rate than those who did not undergo surgery[28]. In recent years, with more methods to optimize pancreatic cancer surgery using Warshaw technology and minimally invasive surgery, cancer-directed surgical treatment options have been recommended for carefully selected elderly patients with PDAC[4]. Chemotherapy is the most common form of treatment for PDAC, including PDAC in elderly patients. Resection with or without subsequent chemotherapy is the standard treatment for resectable PDAC[29,30]. For locally advanced unresectable and metastatic PDAC, chemotherapy remains the mainstay of treatment[31,32]. Our study confirmed an OS benefit of chemotherapy in elderly patients with PDAC.

We performed subgroup analysis and discovered that most subgroups could benefit from RT, including those aged 65 to 80 years, diagnosed in the latter period, with regional or distant disease, tumor size of 2 to 4 cm or greater than 4cm, no surgery, and receiving chemotherapy. Subgroup analysis stratified by age at diagnosis revealed that RT may be beneficial for older patients, particularly those aged 65 to 80 years. This finding could be because patients aged 65 to 80 years have a higher tolerance for RT and are in better general physical condition for consequential treatment than those older than 80 years[33]. Patients with PDAC are frequently incapacitated at the outset owing to malnutrition, discomfort, jaundice, or other symptoms. Only 20% of patients with surgically resectable disease receive radical surgery for cure[34]. Elderly individuals are more likely to require inpatient nursing home care after surgery and have a higher surgical mortality rate[35], even though high-volume facilities and less invasive procedures can enhance outcomes. A subset of older individuals who are deemed ineligible for surgery or refuse surgery due to poor performance status or comorbidities is treated with definitive chemoradiation in clinical settings. Thus, in the current study, patients who did not have surgery or who received chemotherapy were more likely to benefit from RT. Similarly, patients with regional disease were more prone to have involvement or direct extension invasion of peripheral organs and major vessels, as well as a lower chance of undergoing curative surgery, resulting in a greater benefit from RT in subgroups of regional disease. For patients with metastatic disease, the role of RT in achieving local control and symptom relief has been established by current guidelines, including the management of obstruction, analgesic-resistant pain, and bleeding[5]. Furthermore, we discovered that patients with larger tumors benefited more from RT than those with smaller tumors did. One probable explanation for this benefit is that patients with larger tumors were more likely to present with involvement or direct extension invasion to peripheral organs and major arteries, and were more likely to receive definitive radiation or chemoradiotherapy. Patients diagnosed in the latter period benefited significantly more from RT than those diagnosed in the earlier period. This benefit could be attributed to the growing implementation of modern radiation treatments, thus improving the protection of organs at risk and decreasing side effects[6].

The elderly population is a distinct subgroup of cancer patients, for whom the role of RT requires special consideration. To our knowledge, this is the first population-based analysis utilizing PSM to assess the survival benefits of RT in older patients with PDAC. In this study, both multivariate regression and propensity score-matched analyses showed that RT could improve survival in patients with PDAC over 65 years of age. The favorable effect on survival found in the comprehensive SEER database highlights the necessity of RT in the treatment of elderly patients with PDAC. Based on these findings, older individuals should not reject RT on the sole basis of clinical concerns for toxicity, as RT may be a viable therapeutic choice for PDAC even in elderly patients. Further research and trials with samples of older patients are required to determine the risk/benefit ratio of various therapeutic scenarios.

This study had several limitations. First, even when using the PSM approach to balance the baseline, selection bias in the retrospective analysis may not be eliminated due to unmeasured confounders, as with any other observational study. Second, in the SEER database, treatment is defined as being used during the first course of cancer-directed therapy without detailed data about chemotherapy and the dose or duration of RT; thus, the current study aimed to qualitatively and quantitatively describe the role of RT in elderly patients with PDAC. Incorporating additional information on chemotherapy, RT, and treatment modalities would be advantageous for investigating the effects of RT on survival in elderly patients with PDAC. Investigation of the impact of the type, dose, timing, intent, or method used in RT for elderly patients with PDAC may also be aided by data from randomized clinical trials.

CONCLUSION

In summary, the current study demonstrated that elderly patients with PDAC who were treated with RT had improved OS and CSS compared with patients who were not treated with RT. This study adds to the growing literature on retrospective studies of the role on RT in elderly patients with PDAC and highlights the need for a large multicenter randomized trial to further understand this subject.

ARTICLE HIGHLIGHTS

Research background

Pancreatic ductal adenocarcinoma (PDAC) is primarily a disease of the elderly, with a median age at diagnosis of 70 years. Elderly patients represent a unique subgroup of the cancer patient population, for which the role of cancer therapy requires special consideration.

Research motivation

Radiation therapy (RT) plays an evolving and pivotal role in providing optimal care for patients with PDAC. However, studies evaluating the use and effectiveness of RT for treating PDAC in older patients are scarce.

Research objectives

To explore the use and effectiveness of RT in the treatment of elderly patients with PDAC in clinical practice.

Research methods

Data from patients with PDAC aged ≥ 65 years between 2004 and 2018 were collected from the Surveillance, Epidemiology, and End Results database. Multivariate logistic regression analysis was performed to determine factors associated with RT administration. Overall survival (OS) and cancer-specific survival (CSS) were evaluated using the Kaplan-Meier method with the log-rank test. Univariate and multivariate analyses with the Cox proportional hazards model were used to identify prognostic factors for OS. Propensity score matching (PSM) was applied to balance the baseline characteristics between the RT and non-RT groups. Subgroup analyses were performed based on clinical characteristics.

Research results

A total of 12245 patients met the inclusion criteria, with 2551 (20.8%) patients who were treated with RT and 9694 (79.2%) who were not. The odds of receiving RT increased with younger age, diagnosis in the earlier period, primary site in the head, localized disease, greater tumor size, and receiving chemotherapy (all P < 0.05). Before PSM, the RT group had better outcomes than did the non-RT group [median OS: 14.0 vs 6.0 mo; hazard ratio (HR) for OS: 0.862, 95% confidence interval (CI): 0.819–0.908, P < 0.001; and HR for CSS: 0.867, 95%CI: 0.823–0.914, P < 0.001]. After PSM, the survival benefit associated with RT remained comparable (median OS: 14.0 vs 11.0 mo; HR for OS: 0.818, 95%CI: 0.768–0.872, P < 0.001; and HR for CSS: 0.816, 95%CI: 0.765–0.871, P < 0.001). Subgroup analysis revealed that the survival benefits (OS and CSS) of RT were more significant in patients aged 65 to 80 years, in regional and distant stages, with no surgery, and receiving chemotherapy.

Research conclusions

The current study demonstrated that elderly PDAC patients who were treated with RT had improved OS and CSS when compared to those patients who were not treated with RT.

Research perspectives

This study adds to the growing literature on retrospective studies on the role of RT in elderly patients with PDAC and highlights the need for a large multicenter randomized trial to further understand this subject.

ACKNOWLEDGEMENTS

We sincerely appreciate the efforts of the Surveillance, Epidemiology, and End Results (SEER) Program tumor registries in establishing the SEER database.