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. 2018 Dec 28;10(12):4107–4119. doi: 10.18632/aging.101700

Comparisons of metastatic patterns of colorectal cancer among patients by age group: a population-based study

Lin Yang 1,*, Xingli Yang 2,*, Wenzhuo He 1,*, Shousheng Liu 1, Chang Jiang 1, Kunqian Xie 1, Kunwei Peng 1, Yafei You 1, Bei Zhang 1,, Liangping Xia 1,
PMCID: PMC6326680  PMID: 30594909

Abstract

Population-based evaluations of the incidence of metastatic colorectal cancer at diagnosis among different age groups are lacking. Therefore, we investigated the effects of age at diagnosis on metastatic colorectal cancer and patients’ prognoses. The Surveillance, Epidemiology, and End Results database was used to identify patients diagnosed with metastatic colorectal cancer. Multivariate Cox regression analyses were performed to identify factors associated with poor survival. The Kaplan–Meier analysis was used to estimate survival differences between the subgroups. We identified 30,333 adult patients diagnosed with metastatic colorectal cancer between 2010 and 2014. The younger and middle-aged groups had better survival than the older group when brain metastasis was not involved. The liver was the most common site of metastasis followed by the liver and lung combined. Age at diagnosis was an independent factor in patients’ survival. Survival differences between two and three-sites of metastases were found in the middle-aged and older groups but not in the younger group. No survival differences between three and four sites of metastases were found in any of the age groups. Therefore, the incidence and prognosis of metastatic sites for metastatic colorectal cancer varied by age group.

Keywords: metastatic colorectal cancer, age, sites of metastases, incidence of metastasis, prognosis

Introduction

Despite the improved survival of colorectal cancer (CRC) patients, metastatic disease still accounts for a high number of cancer-related deaths. Approximately 20% of patients present with metastatic disease at the time diagnosis [1]. The most common sites of CRC metastasis are the liver, lungs, and peritoneum, but there are other sites of metastasis, such as the bones, brain, and distant lymph nodes [2-5]. Autopsy studies have examined metastatic patterns and found that different primary cancers metastasize with different frequencies to different sites [5] and studies of CRC have revealed that histological subtypes influence metastatic patterns [5].

CRC predominantly occurs in the elderly population, and its incidence and mortality are expected to increase in this group [6]. Approximately 110,000 new cases of CRC were diagnosed in 2008 in Japan, and patients aged >65 years accounted for >70% of them [7]. However, among the patient population with distant metastasis of CRC, survival differences may depend on the site of the metastasis and the number of sites [8-10]. Little is known about the metastasis of this disease to different sites in different age groups [8,9,11,12].

Previous studies have provided evidence that the current combination chemotherapy regimens for metastatic colorectal cancer (mCRC) is tolerable for older persons with similar treatment benefits compared to younger patients [11]. However, the probability of older patients with mCRC being enrolled in clinical trials or receiving surgery is low [13] because older patients tend to be in poor physical condition [13].

This study used data from the Surveillance, Epidemiology, and End Results (SEER) cancer-registry program to identify individuals diagnosed with mCRC from 2010 to 2014 with the intent to gain insight into the relevance of age in the metastatic patterns of CRC in this population. Knowledge of metastatic distributions and survival differences among the age groups may help researchers devise clinical trials, especially, to make determinations regarding curative-intent interventions.

RESULTS

Demographic and clinical characteristics of patients with metastatic colorectal cancer by age group

Overall, 30,333 patients diagnosed with mCRC were included in our study, among which 4,309 (14.2%) were younger than 50 years old, 14,383 (47.2%) were between 50 and 69 years old, and 11,641 (38.4%) were older than 69 years old, they were defined as the younger (<50), middle-aged (50-69), and older groups (>69) respectively. There were 19,717 patients died at the end of the study and included 14,911 patients died from colorectal cancer. The percentage of deaths was 51.4% (2,215/4,309), 59.9% (8,615/14,383), and 76.3% (8,887/11,641) in the younger, middle-aged, and older groups, respectively. More detailed information about the age categories are presented in Table 1.

Table 1. Characteristics of patients with colorectal cancer with distant metastasis by age group.

Patient characteristic Total <50 years 50-69 years >69 years P value
No No % No % No %
Sex <0.001
Male 16,616 2,350 54.5 8,455 58.8 5,811 49.9
Female 13,717 1,959 45.5 5,928 41.2 5,830 50.1
Married <0.001
Unmarried 13,923 1,859 43.1 6,243 43.4 5,821 50
Married 14,864 2,235 51.9 7,381 51.3 5,248 45.1
Unknown 1,546 215 5 759 5.3 572 4.9
Race <0.001
Black 19,9130 2,402 55.7 9,052 62.9 8,456 72.6
White 4,435 684 15.9 2,430 16.9 1,321 8.3
Hispanic 750 17.4 1,648 11.5 982 8.4
Asian/Pacific Islander 3,380 413 9.6 1,100 7.6 806 6.9
Native American 2,319 47 1.1 119 0.8 66 0.6
Unknown 232 13 0.3 34 0.2 10 0.1
Surgery <0.001
No 14,127 1,750 40.6 6,458 44.9 5,919 50.8
Yes 16,139 2,553 59.2 7,897 54.9 5,689 48.9
Unknown 67 6 0.1 28 0.2 33 0.3
T stage <0.001
Tis,T0,T1,T2 (0,1, 2,3) 3,961 568 13.2 1,854 12.9 1,539 13.2
T3-T4 (4,5) 18,759 2,878 66.8 9,207 64 6,674 57.3
Unknown 7,613 863 20 3,322 23.1 3,428 29.4
N stage <0.001
N0 9,607 1,116 25.9 4,382 30.5 4,109 42.8
N1 9,569 1,506 35 4,817 33.5 3,246 27.9
N2 7,760 1,306 30.3 3,761 26.1 2,693 23.1
Unknown 3,397 381 8.8 1,423 9.9 1,593 13.7
Diagnosed methods <0.001
Biopsy 28,822 4,241 98.4 14,002 97.4 10,579 90.9
Other method 1,511 68 1.6 381 2.6 1062 9.1
Pathology type <0.001
Adenocarcinoma 25,850 3,749 87 12,655 88 9,446 81.1
Mucinous 2,558 429 10 1,157 8 972 8.3
Other type 1,248 115 2.7 441 3.1 692 5.9
Unspecified 677 16 0.4 130 0.9 531 4.6
Pathology grade <0.001
Well differentiated 1,204 165 3.8 586 4.1 453 3.9
Moderately differentiated 15,152 2.308 53.6 7,527 52.3 5,317 45.7
Poorly differentiated 5,924 918 21.3 2,767 19.2 2,239 19.2
Undifferentiated 1,167 172 4 526 3.7 469 4
Unknown 6,886 746 17.3 2,977 20.7 3,163 27.2
Positive lymph nodes <0.001
0 15,012 1,885 43.7 6,917 48.1 6,210 53.3
1-3 415 63 1.5 183 1.3 169 1.5
>4 14,472 2,293 53.2 7,060 49.1 5,119 44
Unknown 434 68 1.6 223 1.6 143 1.2
Number of Lymph node <0.001
0 3,286 471 10.9 1,664 11.6 1,151 9.9
<12 10,192 1,613 37.4 4,948 34.4 3,631 31.2
>=12 1,763 327 7.6 829 5.8 607 5.2
Unknown 15,092 1,898 44 6,942 48.3 6252 53.7
Tumor site <0.001
RCC 12,452 1,171 27.2 5,294 36.8 5,987 51.4
LCC 8,797 1,550 36 4,331 30.1 2,916 25.0
RSC 9,084 1,588 36.9 4,758 33.1 2,738 23.5
Tumor sizes <0.001
<=40 mm 6,649 1,002 23.3 3,159 22 2,488 21.4
40-70 mm 9,867 1,442 33.5 4,803 33.4 3,622 31.1
>=70 mm 4,341 656 15.2 2,124 14.8 1,561 13.4
Unknown 9,476 1,209 28.1 4,297 29.9 3,970 34.1

Abbreviations, RCC, right-sided colon cancer; LCC, left-sided colon cancer; RSC, rectosigmoid cancer.

Significant differences among the patient cohorts included race, tumor size, T stage, N stage, tumor location, degree of differentiation, and histological type (P< 0.001,respectively). Generally, the younger and middle-aged patients had larger tumors, advanced T stage, advanced N stage, more adenocarcinoma, and more moderate differentiation than the older patients did (P< 0.001).

Regarding to tumor location, the proportion of metastases were significantly different among age groups, for example, in RCC subgroup, the proportions were 27.2% in the younger cohort, 36.8% in the middle-age cohort, and 51.4% in the older-aged cohort. It indicated that the older patients with RCC had likely more metastases than the other groups. The younger and middle-aged patients had a significantly higher rate of surgery compared to their older counterparts (P< 0.001). The results may be attributed to their better physical condition to withstand the treatment. Specifically, African-American patients tended to have metastatic colorectal cancer at an older age (72.6%, 62.9%, and 55.7% in the older, middle-aged, and younger groups, respectively, P< 0.001). In contrast, White patients tended to be diagnosed with metastasis at a younger age (15.9%, 16.9%, and 8.3% in the younger, middle aged, and older groups, respectively).

Different metastatic patterns of colorectal cancer in patients by age group

Many patients developed metastatic diseases in more than one site. Table 2 summarizes all possible combinations of four sites of metastases. We found the liver was the most common site of metastasis for colorectal cancer and accounted for more than half of all the sites in the three age groups (Table 2).

Table 2. The proportions of metastatic patterns in different age groups.

Patient characteristics Total <50 years 50-69 years >69 years P value
No % No % No % No %
Total 30,333 4,309 14.2 14,383 47.4 11,641 38.4
One site 18,833 62.1 2,690 62.4 8,901 61.9 7,242 62.2 <0.001
Bone only 327 1.1 53 1.2 141 1 133 1.1
Lung only 1,913 6.3 219 5.1 820 5.7 1,874 16.1
Liver only 16,478 54.3 2.405 55.8 7,880 54.8 5,193 44.1
Brain only 115 0.4 13 0.3 60 0.4 42 0.4
Two sites 5,367 17.7 694 16.1 2,709 18.8 1,964 16.9 0.158
Lung and liver 4,480 14.8 578 13.4 2254 15.7 1648 14.2
Lung and bone 136 0.4 24 0.6 58 0.4 215 1.8
Lung and brain 55 0.2 4 0.1 29 0.2 24 0.2
Liver and bone 620 2 82 1.9 58 0.4 54 0.5
Liver and brain 74 0.2 5 0.1 45 0.3 24 0.2
Bone and brain 2 0.1 1 0.1 0 0 1 0.1
Three sites 622 2.1 75 1.7 356 2.5 191 1.6 0.526
Lung, Liver and bone 501 1.7 59 1.4 279 1.9 163 1.4
Lung, Liver and brain 89 0.3 11 0.3 57 0.4 21 0.2
Liver, bone and brain 19 0.1 3 0.1 13 0.1 3 0.1
Lung, bone and brain 13 0,1 2 0.1 7 0.1 4 0.1
Four sites
Liver, lung, bone and brain 31 0.1 2 0.1 21 0.1 8 0.1
Other sites 5480 18.1 848 19.7 2396 16.7 2236 19.2

Patients with multiple organ metastases had fewer treatment options and tended to have poorer outcomes. Unfortunately, at least 19.8% of all the cases had multiple organ metastases. The most common combination of organs with metastases was the liver and lung, which comprised 14.8% of patients with the multiple organ metastases. Only 31(0.1%) patients had metastases to all four sites (Table 2).

Significant differences in the rates of one site metastasis were found between the three age groups (P< 0.001). The older group tended to have more single lung metastasis (16.1%, 5.7%, and 5.1% in the older, middle-aged, and younger groups, respectively) and the younger group tended to have more single liver metastasis (44.1%, 54.8%, and 55.8% in the older, middle-aged, and younger groups, respectively). However, no differences were found in the rate of metastases to two (P = 0.158) or three sites (P = 0.526).

Comparisons of OS

Substantive differences were found in overall survival (OS) (P< 0.001) between the three age groups (Figure 1). The older group had the worst survival with a median survival time (MST) of 6 months. The results of the survival analysis of the subgroups by tumor location (Figure 1) showed that the prognoses of patients with left-sided colon cancer (LCC) and recto-sigmoid cancer (RSC) worsened with increased age. The middle-aged and the younger groups with RCC had longer MSTs than the older group. However, the younger group’s prognosis was not as good as the middle-aged patients in the RCC group were (P >0.05).

Figure 1.

Figure 1

Comparisons of survival of patients with metastasic colorectal cancer (mCRC). (A) The entire cohort; (B) Right-sided colorectal cancer (RCC) subgroup; (C) Left-sided colorectal cancer (LCC) subgroup; (D) Rectosigmoid cancer (RSC) subgroup.

We also found that patients who underwent surgery of the primary site or radiotherapy had better survival, indicating potential benefits from regional treatment for metastatic patients (Figure 2A, P< 0.001). The benefits observed in the subgroups are shown in Figure 2 B-D P< 0.001.

Figure 2.

Figure 2

Comparisons of the benefits of surgery for patients with metastatic colorectal cancer (mCRC). (A) The entire cohort; (B) <50 years old subroup; (C) 50-69 years old subgroup; (D) >69 years old subgroup.

The results of the univariate analysis and multivariate Cox regression, which were conducted to evaluate the independent factors for OS are presented in Table 3. The univariate analysis showed that all the factors included in the study were associated with OS. The significant factors were then included in the multivariate analysis and all of the factors, except for marital status (P = 0.061), were associated with OS (P< 0.05). As shown in Table 3, age at diagnosis was an independent prognostic factor for patients with mCRC. Compared to the younger patients, the middle-aged patients had worse OS (HR: 1.389, 95% CI: 1.230–1.351, P < 0.001) and the older patients had the worst OS (HR: 2.141, 95% CI: 2.041–2.247, P < 0.001).

Table 3. Univariate and multivariate analyses of overall survival.

Patient characteristics Univariate analysis Multivariate analysis
OS OS
HRs (95%CI) P-value HRs (95%CI) P-value
Sex
Female vs Male 1.042 (1.014-1.072) 0.004 0.943 (0.916-0.971) <0.001
Age group <0.001 <0.001
<50 Reference Reference
50-69 1.334 (1.273-1.398) <0.001 1.389 (1.230-1.351) <0.001
>69 2.428 (2.317-2.545) <0.001 2.141 (2.041-2.247) <0.001
Married <0.001 0.061
Unmarried Reference Reference
Married 1.180 (1.115-1.311) <0.001 1.138 (1.109-1.168) <0.001
Unknown 0.867 (0.845-0.890) <0.001 0.908 (0.885-0.932) <0.001
Race <0.001
Black Reference Reference
White 1.072 (1.030-1.115) 0.001 1.099 (1.055-1.144) <0.001
Hispanic 0.895 (0.855-0.938) <0.001 1.001 (0.955-1.050) 0.953
Asian/Pacific Islander 0.862 (0.816-0.911) <0.001 0.944 (0.893-0.998) 0.041
Native American 1.042 (0.899-1.222) 0.612 1.262 (1.075-1.480) 0.004
Unknown 0.575 (0.371-0.892) 0.013 0.740 (0.477-1.148) 0.179
Surgery <0.001 <0.001
No Reference Reference
Yes 0.472 (0.458-0.485) <0.001 0.694 (0.641-0.752) <0.001
Unknown 0.835 (0.629-1.109) 0.214 0.837 (0.629-1.113) 0.220
T stage <0.001 <0.001
Tis,T0,T1,T2 (0,1, 2,3) Reference Reference
T3-T4 (4,5) 0.737 (0.706-0.769) <0.001 1.051 (1-1.105) <0.001
Unknown 1.442 (1.377-1.510) <0.001 1.080 (1.030-1.134) 0.002
N stage <0.001 <0.001
N0 Reference Reference
N1 0.775 (0.748-0.804) <0.001 0.900 (0.862-0.940) <0.001
N2 0.826 (0.796-0.857) <0.001 1.083 (1.021-1.149) 0.008
Unknown 1.570 (1.501-1.642) <0.001 1.1080 (1.030-1.133) 0.002
Diagnosed methods
Other method vs Biopsy 3.345 (3.163-3.537) <0.001 1.401 (1.297-1.513) <0.001
Pathology type <0.001 <0.001
Adenocarcinoma Reference Reference
Mucinous 1.163 (1.107-1.222) <0.001 1.154 (1.097-1.215) <0.001
Other type 2.507 (2.356-2.669) <0.001 1.489 (1.390-1.595) <0.001
Unspecified 4.422 (4.079-4.793) <0.001 1.761 (1.588-1.953) <0.001
Pathology grade <0.001 1.401 (1.297-1.513) <0.001
Well differentiated Reference 1.000
Moderately differentiated 0.969 (0.897-1.047) 0.426 1.081 (1-1.168) 0.050
Poorly differentiated 1.542 (1.424-1.671) <0.001 1.602 (1.477-1.737) <0.001
Undifferentiated 1.594 (1.441-1.764) <0.001 1.748 (1.577-1.937) <0.001
Unknown 1.989 (1.837-2.153) <0.001 1.246 (1.148-1.351) <0.001
Positive lymph nodes <0.001 <0.001
0 Reference Reference
1-3 0.667 (0.592-0.751 <0.001 1.324 (1.137-1.542) <0.001
>4 0.480 (0.467-0.495) 0.791 0.792 (0.713-0.881) <0.001
Unknown 0.648 (0.577-0.728) <0.001 0.902 (0.794-1.024) 0.110
Number of Lymph node <0.001 <0.001
0 Reference Reference
<12 1.408 (1.330-1.491) <0.001 1.356 (1.264-1.456) <0.001
>=12 2.194 (2.035-2.365) <0.001 1.764 (1.608-1.935) <0.001
Unknown 2.849 (2.698-3.009) <0.001 1.541 (1.379-1.721) <0.001
Tumor site <0.001 <0.001
RCC Reference Reference
LCC 0.715 (0.691-0.739) <0.001 0.805 (0.777-0.834) <0.001
RSC 0.706 (0.683-0.730) <0.001 0.642 (0619-0.666) <0.001
Tumor sizes <0.001 <0.001
<=40 mm Reference Reference
40-70 mm 1.147 (1.101-1.194) <0.001 1.116 (1.071-1.162) <0.001
>=70mm 1.384 (1.318-1.453) <0.001 1.274 (1.213-1.338) <0.001
Unknown 1.857 (1.785-1.932) <0.001 1.163 (1.112-1.216) <0.001
Metastasis organ number <0.001
1 Reference Reference
2 2.413 (1.642-3.546) <0.001 2.281 (1.551-3.353) <0.001
3 1.481 (1.428-1.535) <0.001 1.274 (1.228-1.322) <0.001
4 2.049 (1.873-2.241) <0.001 1.680 (1.535-1.839) <0.001
Other organ metastasis 0.958 (0.923-0.996) 0.029 0.905 (0.869-0.941) <0.001

Abbreviations, OS, overall survival; RCC, right-sided colon cancer; LCC, left-sided colon cancer; RSC, Rectosigmoid cancer.

HRs: hazard ratios; CI: confidence interval.

Comparisons of survival between patients with single and multi-site metastatic colorectal cancer

We compared the effects of CRC metastases to single and multiple distant organs on the MST of the study population. The results indicated that there were significant differences in OS among the patients with different specific metastatic sites (Figure 3). No survival difference was found between patients with metastases to three or four sites (P = 0.335, Figure 3A). This survival difference between subgroups is shown in Figure 3B-D. However, no survival difference was found between patients with metastases to two or three sites in the younger group (P = 0.061). Among the patients in the middle-aged group, no survival difference was found between those with single site metastasis and metastasis to other sites (P = 0.516).

Figure 3.

Figure 3

Comparisons of survival among patients with metastatic colorectal cancer (mCRC) with single or multi-site metastases. (A) The entire cohort; (B) < 50 years old subgroup; (C) 50-69 years old subgroup; (D) >69 years old subgroup.

Among the patients with single site metastasis, those with lung metastasis only, had a significantly longer survival compared to the other metastatic patients (MST = 18 months, Table 4). Patients with liver invasion only, had a similar intermediate MST of 15 months. However, the brain metastasis only group (MST = 6 months) and bone metastasis only group (MST = 6 months) had the poorest prognosis compared to the other groups. Among the patients with multi-site metastases, those with lung and liver metastasis had the best survival (MST = 10 months) and patients with lung and bone metastasis had intermediate length of survival (MST = 8 months). However, the survival of the patients with other combinations of sites was very poor and no significant differences were found.

Table 4. The survival analyses of metastatic patterns in different age groups.

Patient characteristics Total <50 years 50-69 years >69 years P value
MST (mo) MST (mo) MST (mo) MST (mo)
Total 13 (12.69-12.3) 23 (22.08-23.92) 17 (16.51-17.49) 6 (5.7-6.3) <0.001
One sites 15 (14.57-15.43 25 (22.38-26.25) 20 (19.33-20.67 7 (6.6-7.4) <0.001
Bone only 6 (4.55-7.44) 12 (8.49-15.51) 10 (6.08-13.92) 2 (1.12-2.88) <0.001
Lung only 18 (16.58-19.41) 30 (25.77-34.23) 25 (21.40-28.6) 10 (8.26-11.64) <0.001
Liver only 15 (14.55-15.45) 25 (23.74-26.26) 20 (19.31-20.69) 7 (6.59-7.41) <0.001
Brain only 6 (4.18-7.8) 13 (1.88-24.12) 8 (5.23-10.77) 4 (2.06-5.94) <0.001
Two sites 9 (8.46-9.54) 16 (14.55-17.45) 12 (11.21-12.79) 4 (3.58-4.42) <0.001
Lung and liver 10 (9.37-10.63) 17 (15.28-18.73) 13 (12.1-13.9) 4 (3.52-4.84) <0.001
Lung and bone 8 (5.27-10.73) 13 (2.34-23.66) 10 (6.08-13.92) 4 (2.28-5.73) 0.001
Liver and bone 5 (3.9-6.08) 10 (7.62-12.38) 10 (6.08-13.92) 3 (2.46-3.54) <0.001
Lung and brain 4 (1.2-6.78) 8 (3.42-11.21) 7 (3.96-10.04) 2 (1.31-2.69) 0.062
Liver and brain 3 (1.33-4.67) 5 (1.08-8.92) 3 (1.84-4.17) 1 (0.04-1.96) 0.079
Bone and brain 4 4 7 0.317
Three sites 3 (1.7-4.3) 12 (7.7-16.3) 5 (3.91-6.09) 2 (0.15-3.85) <0.001
Lung, Liver and bone 5 (3.92-6.08) 12 (6.88-17.12) 5 (3.8-6.1) 3 (2.17-3.83) <0.001
Lung, Liver and brain 6 (3.54-8.46) 8 (5.51-10.45) 6 (4.5-7.49) 2 (0.27-3.73) 0.081
Liver, bone and brain 3 (1.1-8.17) 3 (1.2-6.2) 6 (3.2-8.79) 1 0.060
Lung, bone and brain 3 (1.33-4.67) 6 3 (1.83-4.17) 1 0.999
Four sites
Liver, lung, bone and brain 3 (1-8.17) 12 (8.64-10.34) 3 (1.2-7) 2 (0.15-3.85) 0.420
Other sites 15 (1.24-15.76) 27 (24.01-29.99) 19 (17.67-20.33) 8 (7.14-8.86) <0.001

Abbreviations, MST, median survival time.

The prognoses of patients in the three age groups with the same metastatic patterns were analyzed and the results showed that their prognoses worsened with increased age among the patients with single site metastasis. Among the patients with multiple metastases, those in the younger and middle-aged groups had better survival than the patients in the older group when brain metastasis was not involved. In other words, when patients with multiple metastases had brain metastasis, there were no survival differences among the three age groups.

DISCUSSION

This large-scale study provided more in-depth knowledge and a better understanding of the heterogeneity of colorectal cancer among different age groups. We found that a younger age at diagnosis was associated with being White, having advanced N stage, more lymph node involvement, and a tendency to have LCC. Patients in the younger age group were more likely to have single liver metastasis, but less likely to have single lung metastasis compared with patients in the older age group, and the younger patients had better survival when brain metastasis was not involved.

The most common site of CRC metastasis is the liver, which is consistent with the results of a previous study [14], and the mechanism is thought to be multifaceted. First, the “seed and soil hypothesis” may partially account for the phenomenon of different metastatic patterns [15]. It seems that tumor cells from different subpopulations have favored microenvironments in distant organs, which facilitate their optimal invasion and proliferation in these organs. Second, a study revealed that neutrophils contribute to the colonization of breast cancer cells in the lung [16]. The existence of a similar mechanism for circulating tumor cells in the metastasis of CRC to the liver should be studied further. Third, previous evidence indicates that venous drainage of the colon to the portal system might be a potential mechanism underlying the metastatic pattern of CRC to the liver, first, and then to the lungs [17,18]. The underlying molecular mechanisms need further investigation to yield findings that may be used for cancer prevention.

Consistent with previously published reports [19-21], this study revealed a significant difference in OS between patients in the older age group and their younger counterparts. Age at diagnosis was one of the independent prognostic factors in the study population. The MST was 23 months for the younger patients and 17 and 6 months for the middle-aged and older groups, respectively, which may have a multi-factorial explanation. Many age-related factors, such as lower immune response [22], and higher levels of chronic inflammation [23] may influence survival of metastasis. Hu et al., reported that patients younger than 50 years have a better chance than those older than 50 years of receiving chemotherapy, radiation therapy, and surgery [24,25]. However, elderly patients are less likely to receive optimal treatment because of age-related increases in the deterioration of organ function or comorbidities [26]. Attenuation of the immune system has also been reported to influence (i.e., worsen) survival in older adults with mCRC.

Interestingly, the survival time of the younger group of patients with RCC was similar to that of the middle-aged patients. Other studies have suggested differences in terms of genetics, biology, and demographics between tumor locations of CRC; RCC was more common for both the older groups [27,28]. A recent molecular subtype analysis of CRC patients showed that the “type 5” group (MSI-high, BRAF-and KRAS-mutation negative, non-CpG isl and methylator phenotype) was present in a significant portion of patients aged < 40 years and 40–49 years (10% and 20%, respectively) [29].

Additionally, younger patients presented with metastatic disease at the time of diagnosis more often than did older patients. This may be because RCC is more likely to be classified as a mucinous adenocarcinoma (MC) in older adults [27,28], and MC has been reported to be more frequent than adenocarcinoma (AC) in presentations of multi-metastatic diseases [5]. The poor prognosis of the RCC patients with metastatic disease might have been due the fact that curative surgery is often limited to patients with liver metastasis [11,30]. This might have led to the similar survival times of the younger and the middle-aged groups with RCC. Nevertheless, there might have been other underlying factors. More importantly, we found that patients with different metastatic patterns had different survival outcomes. Specifically, the liver metastasis only group had the longest MST compared to the other patients with metastases, whereas the brain metastasis only group and the multi-site metastases group had the poorest outcomes. Despite their large numbers, neither clinical trials nor germinate immunotherapy-based treatments have shown significant improvements in patients with metastases [31,32]. Unfortunately, therapies are limited for patients with brain metastasis (mainly because of the blood-brain barrier) and multi-site metastases [33]. These results call for greater efforts to improve precision in medicine for the prevention and treatment of CRC metastasis on an individual basis.

This study has some limitations. We could not collect detailed information about the patients’ treatment, such as surgical procedures, chemotherapy regimens, or radiation methods from the SEER database, which may be a confounding factor in the results. Several other factors, other than age at diagnosis, might have also influenced the survival time of patients with mCRC. Therefore, the results need further validation in future studies.

CONCLUSION

Our research summarized the tumor characteristics and survival outcomes of patients in three age groups with mCRC from a large sample of the population. Age was a robust prognostic factor and patients in the younger age group were more likely to have single liver metastasis, but less likely to have single lung metastasis compared with the patients in the older age group. The younger patients had better survival when their cancer did not involve brain metastasis. To determine more appropriate healthcare for aging patients with mCRC, further investigations of biochemical and molecular changes with aging are required.

MATERIALS AND METHODS

Data were retrieved from the SEER database between 2010 and 2014. The datasets, which are available in the SEER dataset repository at: https://seer.cancer.gov/, represented 30% of the United States population. Pathology was classified as adenocarcinoma (AC), mucinous adenocarcinoma (MC), or other. Grade was defined as well differentiated, moderately differentiated, and poorly differentiated, or undifferentiated. Tumor location and their anatomical components, including RCC were classified as follows: RCC (cecum, ascending colon, hepatic flexure, and transverse colon), LCC (splenic flexure, descending colon, and sigmoid colon), RSC (recto-sigmoid junction and rectum), and appendix cancer [34]. Race/ethnicity was categorized as previously described [35]. The SEER 18 dataset categorized ethnicity as White, African-American, Native American/Alaskan Native, Asian/Pacific Islander, and unknown. The presence of bone, lung, liver, and brain metastases at diagnosis were available in the SEER database and were categorized as the number of metastases among the patients in our study. Patients were observed after the first diagnosis of CRC until the last follow-up, death, or end of the study, whichever occurred first.

Statistical analysis

The Chi square test was used for the comparisons of categorical variables and the Kaplan-Meier method was used to estimate survival differences between the subgroups. Univariate and multivariable Cox regression analyses were performed to identify covariates associated with poor survival. All statistical tests were two-tailed and P< 0.05 was considered statistically significant. Statistical analyses were performed using SAS 9.2 (SAS Institute, Cary, NC, USA).

Assessing locus of control

Women completed a condensed version of the Adult Nowicki Strickland Internal External control scale (ANSIE) [24] in questionnaires administered at mean ages 30 and 48 years. The original ANSIE comprises 40 items in a yes/no format, which assess perceived control. The version used in the present study comprises 12 of the original 40 items, which were chosen after factor analysis of the ANSIE administered as a pilot to

Availability of data and material

All data were retrieved from the Surveillance, Epidemiology, and End Results (SEER) program of the National Cancer Institute between 2010 and 2014. The datasets are available in the SEER dataset repository https://seer.cancer.gov/.

ACKNOWLEDGEMENTS

We would like to thank the native English speaking scientists of Elixigen Company (Huntington Beach, California) for editing our manuscript.

Abbreviations:

CRC

Colorectal cancer

mCRC

metastasis colorectal cancer

SEER

Surveillance, Epidemiology, and End Results

RCC

Right-sided location cancer

LCC

Left-sided colon cancer

RSC

rectosigmoid cancer

MC

mucinous adenocarcinoma

AC

adenocarcinoma

OS

Overall Survival

MST

Median Survival Time

Footnotes

AUTHOR CONTRIBUTIONS: Conceptualization, YL, ZB, and XLP; Methodology, YL, YXL; Software and data curation, YL,HWZ ; Formal Analysis, LSS, JC, XQK, PKW, YYF; XLP revised it critically for important intellectual content; Writing-Original Draft Preparation, YL; Project Administration ans Funding Acquisition, XLP. All authors (YL, YXL, HWZ, LSS, JC, XQK, PKW, YYF, ZB, XLP) have read and approved the final manuscript.

CONFLICTS OF INTEREST: All authors have no conflicts of interest to declare.

FUNDING: This work was supported by the National Natural Science Foundation of China (Grants 81272641,81572409,81472578, 81773051), the Guangdong Innovative and Entrepreneurial Research Team Program (2016ZT06S638), the Science and Technology project of Guangdong Province (2017A020215031), and Guangdong Esophageal Cancer Center (Grant# M201607).

REFERENCES

  • 1.Eadens MJ, Grothey A. Curable metastatic colorectal cancer. Curr Oncol Rep. 2011; 13:168–76. 10.1007/s11912-011-0157-0 [DOI] [PubMed] [Google Scholar]
  • 2.Fleming ST, Mackley HB, Camacho F, Yao N, Gusani NJ, Seiber EE, Matthews SA, Yang TC, Hwang W. Patterns of Care for Metastatic Colorectal Cancer in Appalachia, and the Clinical, Sociodemographic, and Service Provider Determinants. J Rural Health. 2016; 32:113–24. 10.1111/jrh.12132 [DOI] [PubMed] [Google Scholar]
  • 3.Luo Q, O’Connell DL, Kahn C, Yu XQ. Colorectal cancer metastatic disease progression in Australia: A population-based analysis. Cancer Epidemiol. 2017; 49:92–100. 10.1016/j.canep.2017.05.012 [DOI] [PubMed] [Google Scholar]
  • 4.Tsikitis VL, Malireddy K, Green EA, Christensen B, Whelan R, Hyder J, Marcello P, Larach S, Lauter D, Sargent DJ, Nelson H. Postoperative surveillance recommendations for early stage colon cancer based on results from the clinical outcomes of surgical therapy trial. J Clin Oncol. 2009; 27:3671–76. 10.1200/JCO.2008.20.7050 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Hugen N, van de Velde CJ, de Wilt JH, Nagtegaal ID. Metastatic pattern in colorectal cancer is strongly influenced by histological subtype. Ann Oncol. 2014; 25:651–57. 10.1093/annonc/mdt591 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Cook AD, Single R, McCahill LE. Surgical resection of primary tumors in patients who present with stage IV colorectal cancer: an analysis of surveillance, epidemiology, and end results data, 1988 to 2000. Ann Surg Oncol. 2005; 12:637–45. 10.1245/ASO.2005.06.012 [DOI] [PubMed] [Google Scholar]
  • 7.Matsuda T, Marugame T, Kamo K, Katanoda K, Ajiki W, Sobue T, and Japan Cancer Surveillance Research Group. Cancer incidence and incidence rates in Japan in 2006: based on data from 15 population-based cancer registries in the monitoring of cancer incidence in Japan (MCIJ) project. Jpn J Clin Oncol. 2012; 42:139–47. 10.1093/jjco/hyr184 [DOI] [PubMed] [Google Scholar]
  • 8.Disibio G, French SW. Metastatic patterns of cancers: results from a large autopsy study. Arch Pathol Lab Med. 2008; 132:931–39. [DOI] [PubMed] [Google Scholar]
  • 9.Hess KR, Varadhachary GR, Taylor SH, Wei W, Raber MN, Lenzi R, Abbruzzese JL. Metastatic patterns in adenocarcinoma. Cancer. 2006; 106:1624–33. 10.1002/cncr.21778 [DOI] [PubMed] [Google Scholar]
  • 10.Weiss L, Grundmann E, Torhorst J, Hartveit F, Moberg I, Eder M, Fenoglio-Preiser CM, Napier J, Horne CH, Lopez MJ, Shaw-Dunn RI, Sugar J, Davies JD, et al. Haematogenous metastatic patterns in colonic carcinoma: an analysis of 1541 necropsies. J Pathol. 1986; 150:195–203. 10.1002/path.1711500308 [DOI] [PubMed] [Google Scholar]
  • 11.Mekenkamp LJ, Heesterbeek KJ, Koopman M, Tol J, Teerenstra S, Venderbosch S, Punt CJ, Nagtegaal ID. Mucinous adenocarcinomas: poor prognosis in metastatic colorectal cancer. Eur J Cancer. 2012; 48:501–09. 10.1016/j.ejca.2011.12.004 [DOI] [PubMed] [Google Scholar]
  • 12.Hyngstrom JR, Hu CY, Xing Y, You YN, Feig BW, Skibber JM, Rodriguez-Bigas MA, Cormier JN, Chang GJ. Clinicopathology and outcomes for mucinous and signet ring colorectal adenocarcinoma: analysis from the National Cancer Data Base. Ann Surg Oncol. 2012; 19:2814–21. 10.1245/s10434-012-2321-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Townsley CA, Selby R, Siu LL. Systematic review of barriers to the recruitment of older patients with cancer onto clinical trials. J Clin Oncol. 2005; 23:3112–24. 10.1200/JCO.2005.00.141 [DOI] [PubMed] [Google Scholar]
  • 14.Riihimäki M, Hemminki A, Sundquist J, Hemminki K. Patterns of metastasis in colon and rectal cancer. Sci Rep. 2016; 6:29765. 10.1038/srep29765 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ribelles N, Santonja A, Pajares B, Llácer C, Alba E. The seed and soil hypothesis revisited: current state of knowledge of inherited genes on prognosis in breast cancer. Cancer Treat Rev. 2014; 40:293–99. 10.1016/j.ctrv.2013.09.010 [DOI] [PubMed] [Google Scholar]
  • 16.Wculek SK, Malanchi I. Neutrophils support lung colonization of metastasis-initiating breast cancer cells. Nature. 2015; 528:413–17. 10.1038/nature16140 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Tan KK, Lopes GL Jr, Sim R. How uncommon are isolated lung metastases in colorectal cancer? A review from database of 754 patients over 4 years. J Gastrointest Surg. 2009; 13:642–48. 10.1007/s11605-008-0757-7 [DOI] [PubMed] [Google Scholar]
  • 18.Leong SP, Cady B, Jablons DM, Garcia-Aguilar J, Reintgen D, Jakub J, Pendas S, Duhaime L, Cassell R, Gardner M, Giuliano R, Archie V, Calvin D, et al. Clinical patterns of metastasis. Cancer Metastasis Rev. 2006; 25:221–32. 10.1007/s10555-006-8502-8 [DOI] [PubMed] [Google Scholar]
  • 19.Dekker JW, van den Broek CB, Bastiaannet E, van de Geest LG, Tollenaar RA, Liefers GJ. Importance of the first postoperative year in the prognosis of elderly colorectal cancer patients. Ann Surg Oncol. 2011; 18:1533–39. 10.1245/s10434-011-1671-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Patel SS, Nelson R, Sanchez J, Lee W, Uyeno L, Garcia-Aguilar J, Hurria A, Kim J. Elderly patients with colon cancer have unique tumor characteristics and poor survival. Cancer. 2013; 119:739–47. 10.1002/cncr.27753 [DOI] [PubMed] [Google Scholar]
  • 21.Widdison AL, Barnett SW, Betambeau N. The impact of age on outcome after surgery for colorectal adenocarcinoma. Ann R Coll Surg Engl. 2011; 93:445–50. 10.1308/003588411X587154 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Yang J, Li X, Liu X, Liu Y. The role of tumor-associated macrophages in breast carcinoma invasion and metastasis. Int J Clin Exp Pathol. 2015; 8:6656–64. [PMC free article] [PubMed] [Google Scholar]
  • 23.Hugo HJ, Saunders C, Ramsay RG, Thompson EW. New Insights on COX-2 in Chronic Inflammation Driving Breast Cancer Growth and Metastasis. J Mammary Gland Biol Neoplasia. 2015; 20:109–19. 10.1007/s10911-015-9333-4 [DOI] [PubMed] [Google Scholar]
  • 24.Hu CY, Bailey CE, You YN, Skibber JM, Rodriguez-Bigas MA, Feig BW, Chang GJ. Time trend analysis of primary tumor resection for stage IV colorectal cancer: less surgery, improved survival. JAMA Surg. 2015; 150:245–51. 10.1001/jamasurg.2014.2253 [DOI] [PubMed] [Google Scholar]
  • 25.Abdelsattar ZM, Wong SL, Regenbogen SE, Jomaa DM, Hardiman KM, Hendren S. Colorectal cancer outcomes and treatment patterns in patients too young for average-risk screening. Cancer. 2016; 122:929–34. 10.1002/cncr.29716 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kozloff MF, Berlin J, Flynn PJ, Kabbinavar F, Ashby M, Dong W, Sing AP, Grothey A. Clinical outcomes in elderly patients with metastatic colorectal cancer receiving bevacizumab and chemotherapy: results from the BRiTE observational cohort study. Oncology. 2010; 78:329–39. 10.1159/000320222 [DOI] [PubMed] [Google Scholar]
  • 27.Iacopetta B. Are there two sides to colorectal cancer? Int J Cancer. 2002; 101:403–08. 10.1002/ijc.10635 [DOI] [PubMed] [Google Scholar]
  • 28.Li FY, Lai MD. Colorectal cancer, one entity or three. J Zhejiang Univ Sci B. 2009; 10:219–29. 10.1631/jzus.B0820273 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kirzin S, Marisa L, Guimbaud R, De Reynies A, Legrain M, Laurent-Puig P, Cordelier P, Pradère B, Bonnet D, Meggetto F, Portier G, Brousset P, Selves J. Sporadic early-onset colorectal cancer is a specific sub-type of cancer: a morphological, molecular and genetics study. PLoS One. 2014; 9:e103159. 10.1371/journal.pone.0103159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Catalano V, Loupakis F, Graziano F, Torresi U, Bisonni R, Mari D, Fornaro L, Baldelli AM, Giordani P, Rossi D, Alessandroni P, Giustini L, Silva RR, et al. Mucinous histology predicts for poor response rate and overall survival of patients with colorectal cancer and treated with first-line oxaliplatin- and/or irinotecan-based chemotherapy. Br J Cancer. 2009; 100:881–87. 10.1038/sj.bjc.6604955 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Sartore-Bianchi A, Trusolino L, Martino C, Bencardino K, Lonardi S, Bergamo F, Zagonel V, Leone F, Depetris I, Martinelli E, Troiani T, Ciardiello F, Racca P, et al. Dual-targeted therapy with trastuzumab and lapatinib in treatment-refractory, KRAS codon 12/13 wild-type, HER2-positive metastatic colorectal cancer (HERACLES): a proof-of-concept, multicentre, open-label, phase 2 trial. Lancet Oncol. 2016; 17:738–46. 10.1016/S1470-2045(16)00150-9 [DOI] [PubMed] [Google Scholar]
  • 32.Wang HB, Yao H, Li CS, Liang LX, Zhang Y, Chen YX, Fang JY, Xu J. Rise of PD-L1 expression during metastasis of colorectal cancer: implications for immunotherapy. J Dig Dis. 2017; 18:574–81. 10.1111/1751-2980.12538 [DOI] [PubMed] [Google Scholar]
  • 33.Rostami R, Mittal S, Rostami P, Tavassoli F, Jabbari B. Brain metastasis in breast cancer: a comprehensive literature review. J Neurooncol. 2016; 127:407–14. 10.1007/s11060-016-2075-3 [DOI] [PubMed] [Google Scholar]
  • 34.Siegel RL, Miller KD, Fedewa SA, Ahnen DJ, Meester RG, Barzi A, Jemal A. Colorectal cancer statistics, 2017. CA Cancer J Clin. 2017; 67:177–93. 10.3322/caac.21395 [DOI] [PubMed] [Google Scholar]
  • 35.Liang PS, Mayer JD, Wakefield J, Ko CW. Temporal Trends in Geographic and Sociodemographic Disparities in Colorectal Cancer Among Medicare Patients, 1973-2010. J Rural Health. 2017; 33:361–70. 10.1111/jrh.12209 [DOI] [PMC free article] [PubMed] [Google Scholar]

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