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. 2021 Mar 3;13(6):8290–8305. doi: 10.18632/aging.202637

Clinical features and prognostic factors of patients with metastatic renal cell carcinoma stratified by age

Gu Yue 1,*, Li Deyu 2,*, Tao Lianyuan 2,, Shao Fengmin 1,, Gao Mei 1, Huang Yajun 1, Zhang Wenwen 1, Yan Lei 1
PMCID: PMC8034891  PMID: 33686965

Abstract

This study compared the clinicopathological characteristics and survival of patients with metastatic renal cell carcinoma (mRCC) stratified by age to identify clinical features and prognostic factors. Patients with renal cell carcinoma (RCC) between 2010 and 2015 were identified from the Surveillance, Epidemiology and End Results database. Age was an independent prognostic factor for patients with RCC, mRCC, mRCC of clear cell renal cell carcinoma and lung-related metastases. There were many significant differences between the younger and older groups, including differences in marital status, race, sex, year of diagnosis, histology grade, laterality, T stage, N stage, tumor size, type of treatment, including surgery, radiation or chemotherapy, and pattern of organic metastasis to the liver, lung, or brain (P<0.05). Moreover, different natural metastasis patterns and poorer overall survival were observed in the older group compared with the younger group (P<0.05). Parameters, including marital status, sex, year of diagnosis, histological grade, N stage, surgery, chemotherapy, lung metastasis and liver metastasis, were independent prognostic factors for elderly patients (P<0.05). Age plays a significant role in mRCC, and elderly patients with mRCC are a special group of individuals whose clinical characteristics and prognostic factors are different from those of younger patients; therefore, these patients require special attention.

Keywords: renal cell carcinoma, metastasis, prognostic factors, elderly patients, survival

INTRODUCTION

Renal cell carcinoma (RCC) is a common urological malignancy with an increasing incidence in many areas [14], accounting for the twelfth most common cancer, with 337,860 cases recorded in 2012. Additionally, the incidence has been estimated to have increased by 22% to date [5]. Although advances in diagnostic techniques and surgical techniques have enabled earlier resection of early stage RCC, an increasing number of patients have distant metastases at the initial diagnosis, especially elderly patients [1, 3]. As the patient age increases, so does the risk of metastasis from RCC. Therefore, elderly patients with metastatic renal cell carcinoma (mRCC) are increasingly common and deserve attention.

Several studies have shown that tumors in elderly patients are unique, and the high proportion of tumors among elderly patients warrants further investigation of diagnostic and treatment practices [1, 3]. It is challenging to establish interdisciplinary collaborations to manage RCC in elderly patients and deliver the best possible care in the future [1]. Moreover, clinical characteristics and metastatic patterns have been indicated to be closely related to the prognosis of RCC [69]. Thus, accurately understanding the characteristics of patients with mRCC could help medical oncologists predict prognosis and provide treatment decisions. The present study explored the clinicopathological features and prognostic factors of patients with mRCC stratified by age.

RESULTS

Characteristics of patients with mRCC

In total, 10,853 (13.7%) mRCC patients were selected among 79,063 patients with RCC. To better understand the metastasis patterns of RCC, we first compared the differences between patients with metastatic and nonmetastatic RCC (Supplementary Table 1). The results indicated that mRCC patients tended to be older, unmarried, white, and male and had a larger tumor size, higher grade, higher T stage and N stage, lower chance of undergoing radical nephrectomy or other operations and greater chance of receiving treatment, such as radiation and chemotherapy (P<0.001, Supplementary Table 1). Therefore, there were significant differences between the elderly patients and younger patients. We then used X-tile software to divide the patients by age into three groups (Figure 1). There were 49,801 diagnosed RCC patients ≤67 years old, and they were classified as the younger group; 29,262 (68-80 years old) patients were classified as the middle-aged group, and 6,492 patients were included in the older group (>80 years old). Moreover, among the total population of 10,853 mRCC patients, 6,131 (56.4%) were in the younger group, 3,255 (30.0%) were in the middle-aged group, and 1,467 (13.5%) were in the older group (>80 years old). The younger group had the lowest metastasis rate of 12.3% (6,131/49,801), the middle-aged group had a rate of 11.1% (3,255/29,262), and the older group had the highest metastasis rate of 22.6% (1,467/6,492).

Figure 1.

Figure 1

Estimation of the cutoff values for age stratification, as determined by X-tile software.

Clear cell RCC was found to be the most common histological type (42,702). However, 16,990 (21.5%) patients had no definite histological diagnosis. If these patients were not counted, then the proportion of clear cell RCC was 68.8% (42,702/62,032). The tumor size was also divided into three groups using X-tile software (Supplementary Figure 1). The lung was the most common metastatic site (6,589, 60.7%), followed by bone (4,233, 39%), liver (2,339, 21.6%), and brain (1,182, 10.9%). Of the 10,853 mRCC patients, mortality occurred in 9,014 (83.1% of 10,853) patients by the end of the follow-up period.

We then performed a univariate analysis of the patients with mRCC to identify significant variables associated with survival (Supplementary Table 2). Our data showed that marital status, age, race, sex, year of diagnosis, histological grade, T stage, N stage, surgery, chemotherapy, metastasis site (lung, bone, liver or brain), and tumor size were prognostic factors for OS (P<0.05). Multivariate Cox regression analysis revealed that marital status, age, year of diagnosis, histological grade, T stage, N stage, metastasis site (lung, bone, liver, or brain), surgical resection, chemotherapy, and tumor size were independent prognostic factors (Supplementary Table 2, P<0.05). Therefore, age was significantly associated with the OS of patients with mRCC and is an independent prognostic factor for mRCC.

Multivariate analysis of factors affecting OS in mRCC patients with clear cell RCC

Regarding the histological types of mRCC, clear cell RCC (4,229 cases) was the most common type. It has been indicated that histological subtypes follow distinct clinical courses and have varying treatment responses [10]. We then performed a multivariate analysis of the mRCC patients with clear cell RCC to identify significant factors associated with survival (Supplementary Table 3). Our data showed that marital status, sex, year of diagnosis, histological grade, N stage, surgery, chemotherapy, metastasis site (lung, bone, liver, and brain), and tumor size were independent prognostic factors, similar to the factors for mRCC (P <0.05, Supplementary Table 3). Most importantly, age was also an independent prognostic factor for patients with metastatic clear cell RCC.

Multivariate analysis of factors affecting OS rates in patients with lung-related metastases

Since the lung was the most common metastatic site for mRCC, we further performed Cox regression analysis to identify significant factors associated with survival for mRCC patients with lung-related metastases. Our data revealed that marital status, year of diagnosis, histological grade, T stage, N stage, metastasis site (lung, bone brain or liver), surgical resection, chemotherapy, and tumor size were independent prognostic factors, similar to the factors for mRCC (P<0.05, Supplementary Table 4). Above all, age was also an independent prognostic factor for mRCC patients with lung-related metastases.

Analysis of patients with mRCC stratified by age

Since age was an independent prognostic factor for patients with RCC, mRCC, mRCC of clear cell RCC and lung-related metastases, age plays a significant role in mRCC. To better understand the role of age in mRCC, we performed a further study of patients with mRCC stratified by age by comparing the clinical features of different age groups. Compared with the younger group, the older group showed many significant differences, including differences in marital status, race, sex, year of diagnosis, histology grade, literality, T stage, N stage, tumor size, type of treatment, including surgery, radiation or chemotherapy, and organic metastasis pattern to the liver, lung, or brain (P<0.05, Table 1).

Table 1. Clinical characteristics of renal cell carcinoma with distant metastasis among different age group.

Total Percentage Age ≤ 67 years Percentage 68-80 years Percentage Age > 82 years Percentage P-value
10853 100.00% 6131 100.00% 3255 100.00% 1467 100.00%
Marital status Married 6067 55.90% 3490 56.90% 1960 60.20% 617 42.10% <0.001
Unmarried 4339 40.00% 2376 38.80% 1173 36.00% 790 53.90%
Unknown 447 4.10% 265 4.30% 122 3.70% 60 4.10%
Race White 8938 82.40% 4903 80.00% 2765 84.90% 1270 86.60% <0.001
Black 1137 10.50% 756 12.30% 279 8.60% 102 7.00%
Other 778 7.20% 472 7.70% 211 6.50% 95 6.50%
Sex Male 7358 67.80% 4400 71.80% 2129 65.40% 829 56.50% <0.001
Female 3495 32.20% 1731 28.20% 1126 34.60% 638 43.50%
Year of diagnosis 2010-2012 5166 47.60% 2985 48.70% 1490 45.80% 691 47.10% 0.025
2013-2015 5687 52.40% 3146 51.30% 1765 54.20% 776 52.90%
Histological grade I-II 1045 9.60% 644 10.50% 329 10.10% 72 4.90% <0.001
III-IV 3384 31.20% 2292 37.40% 895 27.50% 197 13.40%
Unknown 6424 59.20% 3195 52.10% 2031 62.40% 1198 81.70%
Laterality Left 5285 48.70% 3045 49.70% 1556 47.80% 684 46.60% <0.001
Right 5003 46.10% 2833 46.20% 1505 46.20% 665 45.30%
Other 565 5.20% 253 4.10% 194 6.00% 118 8.00%
T ≤T1 2081 19.20% 988 16.10% 692 21.30% 401 27.30% <0.001
T2 1740 16.00% 1046 17.10% 489 15.00% 205 14.00%
T3 3505 32.30% 2251 36.70% 999 30.70% 255 17.40%
T4 1388 12.80% 843 13.70% 388 11.90% 157 10.70%
TX 2139 19.70% 1003 16.40% 687 21.10% 449 30.60%
N N0 6034 55.60% 3362 54.80% 1863 57.20% 809 55.10% <0.001
N1 3364 31.00% 2059 33.60% 914 28.10% 391 26.70%
NX 1455 13.40% 710 11.60% 478 14.70% 267 18.20%
Tumor size ≤45mm 1569 14.50% 734 12.00% 534 16.40% 301 20.50% <0.001
46-80mm 3090 28.50% 1582 25.80% 1027 31.60% 481 32.80%
> 80mm 4800 44.20% 3182 51.90% 1247 38.30% 371 25.30%
Unknown 1394 12.80% 633 10.30% 447 13.70% 314 21.40%
Surgery No/Unknown 7086 65.30% 3474 56.70% 2288 70.30% 1324 90.30% <0.001
Radical nephrectomy 2997 27.60% 2136 34.80% 758 23.30% 103 7.00%
Other operation 770 7.10% 521 8.50% 209 6.40% 40 2.70%
Radiation No/Unknown 7950 73.30% 4236 69.10% 2463 75.70% 1251 85.30% <0.001
Yes 2903 26.70% 1895 30.90% 792 24.30% 216 14.70%
Chemotherapy No/Unknown 5699 52.50% 2714 44.30% 1811 55.60% 1174 80.00% <0.001
Yes 5154 47.50% 3417 55.70% 1444 44.40% 293 20.00%
Metastasis at bone No 6620 61.00% 3684 60.10% 2019 62.00% 917 62.50% 0.082
Yes 4233 39.00% 2447 39.90% 1236 38.00% 550 37.50%
Metastasis at brain No 9671 89.10% 5318 86.70% 2969 91.20% 1384 94.30% <0.001
Yes 1182 10.90% 813 13.30% 286 8.80% 83 5.70%
Metastasis at liver No 8514 78.40% 4830 78.80% 2559 78.60% 1125 76.70% 0.207
Yes 2339 21.60% 1301 21.20% 696 21.40% 342 23.30%
Metastasis at lung No 4264 39.30% 2303 37.60% 1320 40.60% 641 43.70% <0.001
Yes 6589 60.70% 3828 62.40% 1935 59.40% 826 56.30%

To explore the natural metastasis patterns among mRCC patients stratified by age, we identified 9,581 patients with certain metastatic sites (lung, bone, brain, and bone). Regarding the observation of metastatic sites in these RCC patients, a single lung metastasis was the most common, followed by metastasis to the bone, liver, and brain, in all age groups. In patients with multiple metastatic sites, lung-related metastases occurred most in the lung + bone, followed by lung + liver, in all age groups (P<0.05, Table 2). The comparison of different age groups showed that with increasing age, single metastases and certain combinations of two sites of metastasis (bone and brain, bone, and liver) occurred less frequently; in contrast, other combinations of two sites of metastases and almost all combinations of three sites of metastases showed an increasing trend with age (P<0.05, Table 2).

Table 2. Comparison of organ metastasis patterns stratified by age patients with metastatic renal cell carcinoma.

Parameter ≤ 67 years Percentage 68-80 years Percentage > 80 years Percentage P-value
n=5620 100.0% n=2808 100.0% n=1153 100.0%
Lung metastasis only 1923 34.2% 943 33.6% 379 32.9% 0.631
bone metastasis only 1278 22.7% 398 14.2% 79 6.9% <0.001
Brain metastasis only 152 2.7% 72 2.6% 18 1.6% 0.078
Liver metastasis only 384 6.8% 168 6.0% 53 4.6% 0.012
Lung and brain 171 3.0% 121 4.3% 86 7.5% <0.001
Lung and bone 644 11.5% 449 16.0% 190 16.5% <0.001
Bone and brain 85 1.5% 12 0.4% 4 0.3% <0.001
Bone and liver 176 3.1% 59 2.1% 20 1.7% 0.002
Lung and liver 333 5.9% 260 9.3% 169 14.7% <0.001
Brain and liver 7 0.1% 13 0.5% 4 0.3% 0.011
Lung, bone and brain 110 2.0% 88 3.1% 40 3.5% <0.001
Lung, bone and liver 250 4.4% 157 5.6% 87 7.5% <0.001
Lung, brain and liver 42 0.7% 26 0.9% 24 2.1% <0.001
Bone, brain, and liver 10 0.2% 0 0.0% 0 0.0% 0.029
Lung, bone, brain, and liver 55 1.0% 42 1.5% 0 0.0% <0.001

Multivariate Cox regression analysis of mRCC among different age groups revealed that several parameters, such as being unmarried, having a higher grade or N stage, and having metastasis (lung or brain), were associated with poorer OS in all age groups, while surgical resection or chemotherapy was associated with better OS (P<0.05, Table 3). Unlike other age groups, in the older group, being unmarried and male were related to poor OS (Table 3). Kaplan-Meier analysis was performed to compare the OS rates of patients with RCC and a single metastatic site in different age groups. The results showed that in all age groups, patients with metastasis to the lung or bone tended to have better OS, and those with metastasis to the liver had poorer OS (Figure 2). Moreover, Kaplan-Meier analysis for those with two metastatic sites indicated that patients with metastasis to the lung + bone and bone + brain had better OS than those with metastasis to the brain + liver (P<0.05, Figure 3).

Table 3. Multivariate Cox regression analysis of overall survival (OS) rates of the metastasis by age groups.

≤ 67 years 68-80 years > 80 years
HRs (95% CI) P-value HRs (95% CI) P-value HRs (95% CI) P-value
Marital status Married 1 (Ref) 1 (Ref) 1 (Ref)
Unmarried 1.10 (1.03-1.16) 0.003 1.07 (0.99-1.17) 0.092 1.17 (1.04-1.32) 0.010
Unknown 0.79 (0.68-0.92) 0.002 1.20 (0.98-1.47) 0.074 0.88 (0.67 -1.17) 0.386
Race White 1 (Ref) 1 (Ref) 1 (Ref)
Black 1.08 (0.99-1.18) 0.090 0.96 (0.84-1.10) 0.602 0.96 (0.78-1.19) 0.723
Other 0.91 (0.81-1.01) 0.073 0.96 (0.82-1.12) 0.616 1.05 (0.84-1.31) 0.654
Sex Male 1 (Ref) 1 (Ref) 1 (Ref)
Female 0.99 (0.93-1.06) 0.842 1.12 (1.03-1.21) 0.009 0.88 (0.78-0.99) 0.032
Year of diagnosis 2010-2012 1 (Ref) 1 (Ref) 1 (Ref)
2013-2015 0.91 (0.86-0.97) 0.002 0.95 (0.88-1.03) 0.193 0.98 (0.88-1.09) 0.726
Histological grade I-II 1 (Ref) 1 (Ref) 1 (Ref)
III-IV 1.54 (1.37-1.73) <0.001 1.31 (1.13-1.52) <0.001 1.42 (1.04-1.93) 0.026
Unknown 1.30 (1.15-1.45) <0.001 1.21 (1.05-1.41) 0.010 1.26 (0.95-1.66) 0.107
Laterality Left 1 (Ref) 1 (Ref) 1 (Ref)
Right 0.97 (0.92 -1.03) 0.302 0.97 (0.90-1.05) 0.454 1.03 (0.92-1.15) 0.575
Unknown 0.96 (0.82-1.12) 0.582 0.89 (0.75-1.06) 0.192 1.06 (0.84-1.32) 0.636
T ≤T1 1 (Ref) 1 (Ref) 1 (Ref)
T2 1.07 (0.95-1.21) 0.278 0.97 (0.83-1.13) 0.670 1.08 (0.86-1.34) 0.513
T3 1.14 (1.02-1.27) 0.021 1.11 (0.97-1.27) 0.125 1.16 (0.96-1.41) 0.130
T4 1.31 (1.16-1.48) <0.001 1.24 (1.06-1.44) 0.008 1.10 (0.88-1.37) 0.406
TX 1.13 (0.99-1.28) 0.062 1.00 (0.87-1.15) 0.986 1.09 (0.91-1.30) 0.363
N N0 1 (Ref) 1 (Ref) 1 (Ref)
N1 1.51 (1.41-1.61) <0.001 1.46 (1.33-1.59) <0.001 1.22 (1.07-1.39) 0.002
NX 1.11 (1.01-1.23) 0.038 1.17 (1.04-1.32) 0.007 1.07 (0.91-1.26) 0.385
Surgery No/Unknown 1 (Ref) 1 (Ref) 1 (Ref)
Radical nephrectomy 0.41 (0.38-0.45) <0.001 0.43 (0.37-0.48) <0.001 0.43 (0.32-0.57) <0.001
Other operation 0.40 (0.35-0.45) <0.001 0.41 (0.34-0.49) <0.001 0.44 (0.31-0.63) <0.001
Radiation No/Unknown 1 (Ref) 1 (Ref) 1 (Ref)
Yes 1.02 (0.95-1.10) 0.576 0.94 (0.84-1.04) 0.226 0.95 (0.80-1.12) 0.534
Chemotherapy No/Unknown 1 (Ref) 1 (Ref) 1 (Ref)
Yes 0.67 (0.64-0.72) <0.001 0.59 (0.54-0.64) <0.001 0.59 (0.51-0.68) <0.001
Metastasis at bone No 1 (Ref) 1 (Ref) 1 (Ref)
Yes 1.22 (1.15-1.31) <0.001 1.35 (1.23-1.48) <0.001 1.12 (0.99-1.27) 0.072
Metastasis at brain No 1 (Ref) 1 (Ref) 1 (Ref)
Yes 1.41 (1.29-1.55) <0.001 1.44 (1.26-1.65) <0.001 1.22 (0.97-1.54) 0.092
Metastasis at liver No 1 (Ref) 1 (Ref) 1 (Ref)
Yes 1.41 (1.32-1.52) <0.001 1.51 (1.37-1.65) <0.001 1.30 (1.14-1.48) <0.001
Metastasis at lung No 1 (Ref) 1 (Ref) 1 (Ref)
Yes 1.39 (1.31-1.48) <0.001 1.27 (1.17-1.38) <0.001 1.20 (1.07-1.35) 0.002
Tumor size ≤45mm 1 (Ref) 1 (Ref) 1 (Ref)
46-80mm 0.99 (0.89-1.10) 0.822 1.21 (1.07-1.37) 0.003 1.05 (0.89-1.23) 0.582
> 80mm 1.11 (0.99-1.25) 0.065 1.24 (1.08-1.43) 0.003 1.18 (0.96-1.45) 0.116
Unknown 1.00 (0.87-1.15) 0.992 1.30 (1.10-1.54) 0.002 1.00 (0.81-1.23) 0.999

Abbreviations: HR=Hazard ratio; CI=confidence interval.

Figure 2.

Figure 2

Comparison of overall survival rates among patients with renal cell carcinoma and a single metastatic site in different age groups.

Figure 3.

Figure 3

Comparison of overall survival rates among patients with renal cell carcinoma and two metastatic sites in different age groups.

DISCUSSION

The incidence of RCC has increased rapidly, and its prognosis is inversely associated with metastasis [8]. Our data show that approximately 13.7% (10,853/79,060) of patients with RCC have visceral metastases. It has been reported that approximately 15-18% of patients present with mRCC at diagnosis, which is similar to our data [11, 12]. In addition, up to 40% of patients eventually develop metastatic disease during follow-up [11, 12]. With the increasing aging population, the population of patients with mRCC is also increasing, which is supported by the present study. Our data show that the older group had the highest metastasis rate of 22.6%, which is drastically higher than that in the younger group (12.3%) and the middle-aged group (11.1%).

Distant metastases occur most often in the lungs (60-75%), liver (19-40%), bone (39-40%), and brain (5-7%) [13]. The current study found a similar result: lung metastasis was the most common (60.7%), followed by metastasis to the bone (39%), liver (21.6%), and brain (10.9%). Furthermore, in cases of mRCC with multiple metastatic sites, lung-related metastases occurred most in the lung + bone. This trend was similar in all age groups. The reason for the observed high incidence of RCC metastasis to the lung could be attributed to the immune landscape reshaped by cancer cells through the secretion of cytokines or chemokines, which trigger neutrophil-dependent lung metastasis [14]. The “seed and soil hypothesis” may also partly explain the phenomenon of different metastasis sites and patterns of metastasis [15]. Our study shows that patients with lung metastasis tended to have better OS than patients with other sites of metastases or multiple metastatic sites. RCC usually metastasizes through the bloodstream, and the lung is the first organ to be affected. Cancer cells spreading from the bloodstream to other organs, such as the bone, brain, or liver, represent a more advanced stage of cancer or a tumor that is capable of subsequent invasion and metastasis. This may account for this poor prognosis of patients with metastasis to these organs, especially those with multiple sites of metastases. Our study indicates that age is an independent prognostic factor for patients with RCC, mRCC, mRCC of clear cell RCC and lung-related metastases. Consequently, to further investigate the role of age in mRCC, we selected the cutoff value through X-tile software. The ages of 80 and 67 years were chosen as the optimal values, and patients aged younger than 67 years showed the best prognosis.

We first focused on the demographic data. Our results showed that patients in the older group were more likely to be unmarried, which may be because elderly patients have a greater chance of losing their mate. In addition, the proportion of patients between 68 and 80 years old who were married was the highest (1,960/3,255, 60.2%) among all age groups, while the proportion of married patients above 80 years old was sharply reduced (617/1,467, 42.1%), which may be attributed to the higher death rate of spouses in this age range. Further prognostic analysis indicated that marriage is a favorable prognostic factor for mRCC patients above 80 years old, which agrees with many previous studies [1618]. The results indicate that elderly people who lack care from a marriage partner have a poor prognosis. Therefore, elderly patients who do not have spouses should be given more attention. Moreover, the present study indicated that the proportion of whites increased with age, which may be attributed to the fact that white patients are more likely to have a longer life span, possibly because white patients tend to have more access to medical services [19, 20]. In addition, although our study showed that men comprised the majority, the proportion of women increased with age, which may be because females tend to pay more attention to their health and make greater use of healthcare services than males [21, 22]. The survival analysis of this study further demonstrated that being female was independent prognostic factor for elderly patients with mRCC.

Regarding clinicopathological data, our results suggested that patients in the older group had more T1 stage disease, less N1 stage disease, a smaller tumor size, and a lower chance for metastasis to the lung and brain than patients in the younger group, but they had a higher chance of developing liver metastases. This result can be attributed to the frequent routine check-ups of elderly patients, which can allow for the diagnosis of disease at an early stage. Moreover, prognostic factor analysis suggested that patients with N1 stage disease or with metastasis to the liver tended to have a poorer prognosis, which may further support the suggestion that older patients have a poorer prognosis. These results are in agreement with age-stratified analyses of other cancers [2325].

Data on treatment indicated that the elderly have a lower chance of receiving treatments, such as surgery, radiation, and chemotherapy. To date, the treatment selected for RCC, including surgery, chemotherapy or radiotherapy, depends on the stage of the disease; however, age should also be taken into account [68, 11, 26, 27]. Further analysis indicated that surgery and chemotherapy were independent prognostic factors for elderly patients, which is in agreement with previous studies of other cancers [2325]. Moreover, treatments, such as surgery or chemotherapy, have already been proven to be prognostic factors for renal cancer [6, 7, 11, 28]. Regarding other clinical characteristics, such as the year of diagnosis and laterality, although there were significant differences between the elderly group and the two younger groups, there was no trend of change with age. We can conclude that there is a difference between elderly and younger patients, but we cannot judge the relationship of this difference between the trend of change and age.

According to our results, elderly patients with mRCC are a special group of individuals whose clinical characteristics and prognostic factors are different from those of patients in other age groups. Therefore, more individualized attention should be paid to elderly mRCC patients to improve their survival rate and quality of life. However, our research does have some limitations. First, due to the retrospective nature of the present analysis, selection bias may have been present. Second, we were unable to collect detailed data on systematic treatment or other variables related to treatment regimens, such as quantity and exact location, from the SEER database. Thus, we could not evaluate the contribution of these factors or their survival benefits. Third, the SEER database started providing data about the location of distant metastasis in 2010, and the most recent data about tumor size were from 2015. Therefore, only patients from 2010 to 2015 were involved. Despite the stated limitations, our study is a population-based study that included a large number of mRCC patients, and the results are convincing.

CONCLUSIONS

Age plays a significant role in mRCC, and elderly patients with mRCC are a special group of individuals whose clinical characteristics and prognostic factors are different from those of younger patients. These patients therefore require special attention.

MATERIALS AND METHODS

Patient cohort

The data examined in our study were retrieved from the Surveillance Epidemiology and End Results (SEER) database. In this study, we utilized SEER* Stat 8.3.5 software to query data from 18 SEER registries. In total, 85,381 patients were identified with a primary site of ‘kidney’ between January 1, 2010 and December 31, 2015, and 11,490 patients were considered to have American Joint Committee on Cancer (AJCC) (7th edition) stage IV disease [29]. After excluding patients with unknown sites of cancer metastasis, an unknown age or race, or who lacked survival data, 79,063 patients remained (10,853 with stage IV disease). As a publicly available database, the SEER database contains deidentified data; therefore, this study did not need approval from the institutional review board.

Data collection

The following information was collected from each patient: marital status, age, race, sex, year of diagnosis, primary site of the tumor, T stage, N stage, M stage, surgical resection of the primary tumor, chemotherapy recode, tumor size, survival time, and vital status. Overall survival (OS) was defined as the time between diagnosis and death from any cause. Detailed information on systematic treatment is not available in the SEER database. Histological subtypes of mRCC in the following statistical analyses are based on the third edition ICD-O-3 codes. Clear cell renal cell carcinoma (8310/3) was the most common type in the SEER database, and a separate statistical analysis will be performed for this subtype.

Statistical analyses

X-tile software v3.6.1 (Yale University, New Haven, CT, USA) was utilized to determine the optimal cutoff values for age [30]. Clinical and demographic features were compared with the chi-square test. The Kaplan-Meier method with the log-rank test was used to assess OS. A Cox proportional hazards model was applied for multivariable survival analysis of OS. The hazards ratio (HR) and 95% confidence interval (95% CI) were also generated for statistically significant variables. P<0.05 was considered statistically significant. IBM SPSS Statistics 25.0 (IBM, Armonk, NY, USA) was applied for all statistical analyses.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Supplementary Material

Supplementary Figure 1
aging-13-202637-s001.pdf (260.1KB, pdf)
Supplementary Tables
aging-13-202637-s002.pdf (508.9KB, pdf)

Footnotes

AUTHOR CONTRIBUTIONS: All authors contributed in a manuscript as well as figure preparation are thoroughly familiar with its present version and can defend its content and conclusions.

CONFLICTS OF INTEREST: The authors declare that they have no conflicts of interest.

FUNDING: This study was supported by a grant from the Doctoral Venture Capital fund of Henan Provincial People’s Hospital (No. ZC20180077), the Special Project of Henan Provincial Key Research, Development and Promotion (Science and Technology) (No. 192102310119), and Joint Project of Medical Science and Technology Research Program of Henan Province (LHGJ20190577). Medical Science and Technology Research Plan of Henan Province, Project Co-built by Provincial Department (SB20190319). National Key R&D Program of China (2018YFC0114503), Joint Project of Medical Science and Technology Research Program of Henan Province (LHGJ20190617). Chen Xiao-ping Foundation (CXPJJH1900001-2019203) These funds provided support for personnel and data collection.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Figure 1
aging-13-202637-s001.pdf (260.1KB, pdf)
Supplementary Tables
aging-13-202637-s002.pdf (508.9KB, pdf)

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