Literature DB >> 24699879

Better long-term survival in young patients with non-metastatic colorectal cancer after surgery, an analysis of 69,835 patients in SEER database.

Qingguo Li1, Guoxiang Cai1, Dawei Li1, Yuwei Wang1, Changhua Zhuo1, Sanjun Cai1.   

Abstract

OBJECTIVE: To compare the long-term survival of colorectal cancer (CRC) in young patients with elderly ones.
METHODS: Using Surveillance, Epidemiology, and End Results (SEER) population-based data, we identified 69,835 patients with non-metastatic colorectal cancer diagnosed between January 1, 1988 and December 31, 2003 treated with surgery. Patients were divided into young (40 years and under) and elderly groups (over 40 years of age). Five-year cancer specific survival data were obtained. Kaplan-Meier methods were adopted and multivariable Cox regression models were built for the analysis of long-term survival outcomes and risk factors.
RESULTS: Young patients showed significantly higher pathological grading (p<0.001), more cases of mucinous and signet-ring histological type (p<0.001), later AJCC stage (p<0.001), more lymph nodes (≥ 12 nodes) dissected (p<0.001) and higher metastatic lymph node ratio (p<0.001). The 5-year colorectal cancer specific survival rates were 78.6% in young group and 75.3% in elderly group, which had significant difference in both univariate and multivariate analysis (P<0.001). Further analysis showed this significant difference only existed in stage II and III patients.
CONCLUSIONS: Compared with elderly patients, young patients with colorectal cancer treated with surgery appear to have unique characteristics and a higher cancer specific survival rate although they presented with higher proportions of unfavorable biological behavior as well as advanced stage disease.

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Mesh:

Year:  2014        PMID: 24699879      PMCID: PMC3974782          DOI: 10.1371/journal.pone.0093756

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Colorectal cancer (CRC) is one of the most common malignancies and is ranked as the third leading cause of cancer-related deaths in the USA [1]. The incidence of CRC in Asian countries is increasing rapidly and has been considered to be similar to that of the Western countries [2], [3]. Generally, CRC is thought to be a malignancy affecting mostly on the elderly persons, with more than 90% of patients being diagnosed after age 55 years [4]. The 2010 Annual Report to the Nation on Cancer celebrated a steady decline in the incidence of CRC in USA [5]. In sharp contrast to overall trends, the incidence of CRC in young patients appears to be increasing [5], [6], [7]. The incidence of the disease, considering patients aged between 20–40 years of age increased by 17% during the period between 1973 and 1999 [7]. CRC in the young generally regards as a higher prevalence of mucinous or poorly differentiated tumors including signet ring carcinoma and later stage, which tend to have a poorer prognosis compared to elderly patients [8], [9], [10], [11]. Some authors, however, argued that compared with the elderly patients, although the young ones have unfavorable cliniopathological characteristics, they have better, at least no worse, long-term survival rates than elderly [12], [13], [14]. Most of the published studies on CRC in young patients are single-institution experiences or limit sample sizes. In this regard, we used data from the Surveillance, Epidemiology and End Results (SEER) registries to analysis age role on CRC long time survival after surgery.

Materials and Methods

Patients

The current SEER database consists of 17 population-based cancer registries that represent approximately 26% of the population in the United States. The SEER data contain no identifiers and are publicly available for studies of cancer-based epidemiology and health policy. The National Cancer Institute’s SEER*Stat software (Surveillance Research Program, National Cancer Institute SEER*Stat software, www.seer.cancer.gov/seerstat)(Version 8.1.2) was used to identify patients whose pathological diagnosis as invasive CRC (C18.0–20.9) between 1988, and 2003. Only patients who underwent surgical treatment with age of diagnosis between 18 and 74 years were included. Patients were excluded if they had in situ or incomplete TNM staging, with distant metastasis (M1), no evaluation on lymph nodes (LNs) or differentiation grade or histological type pathologically, died within 30 days after surgery, or multiple primary malignant neoplasm as determined by Extent of Disease Codes. Age, sex, race, TNM stage, tumor grade, tumor location, CRC–specific survival (CCSS) was assessed. The lymph nodes ratio (LNR) was calculated as the number of positive regional nodes divided by the number of regional nodes examined and defined as the rN classification. Adjuvant chemotherapy was not evaluated as the SEER registry does not include this information. TNM classification was restaged according to the criteria described in the American Joint Committee on Cancer (AJCC) Cancer Staging Manual (7th edition, 2010). The primary endpoint of study is CCSS which was calculated from the date of diagnosis to the date of cancer specific death. Deaths attributed to the cancer of interest are treated as events and deaths from other causes are treated as censored observation. This study was based on public data from the SEER database and we had got the permission to access the research data files with the reference number 12768-Nov2012. It didn’t include interaction with human subjects or use personal identifying information. The study did not require informed consent and was approved by the Review Board of Fudan University Shanghai Cancer Center, Shanghai, China.

Statistical Analysis

Association of age (young and elderly) with clinicopathological parameters was analyzed by chi-square (χ2) test. Continuous variables were analyzed using Student’s t-test. Survival curves were generated using Kaplan-Meier estimates, differences between the curves were analyzed by log-rank test. Multivariable Cox regression models were built for analysis of risk factors for survival outcomes. All statistical analyses were performed using the statistical software package SPSS for Windows, version 17 (Chicago: SPSS Inc, USA). Results were considered statistically significant when a two-tailed test of P<0.05 achieved.

Results

Patient Characteristics

We identified 69,835 eligible patients with CRC in SEER database during the 15-year study period (between 1988 and 2003). There were 37,130 (53.17%) males and 32,705(46.83%) females. The median ages in young and elderly groups were 36(15–40) and 64(41–74), respectively. The median follow-up period was 97(1–275) months. Patient demographics and pathological features are summarized in Table 1.
Table 1

Characteristics of Patients from SEER Database by age.

TotalYoung GroupElderly GroupP value
Characteristic(n = 69835)(n = 3014)(n = 66821)
Media foullow up(mo)11298P<0.001
(IQR)58–15842–135
Years of diagnosisP<0.001
1988–19931601760915408
1994–19992129595520340
2000–200332523145031073
Sex0.615
male37130158935541
female32705142531280
RaceP<0.001
Caucasian55824218353641
African American73904316954
Others64433916052
Unknowns1789169
Primary site0.434
Colon cancer51372223649136
Rectal cancer1846377817685
Pathological gradingP<0.001
High/Moderate54812216752645
Poor/undifferentiation1264472311921
Histological TypeP<0.001
Adenocarcinoma61384245558929
Mucinous cancer78044747330
Signet-ring cancer64785562
AJCC stageP<0.001
I45631334430
II35867138434483
III29405149727908
No. of LNs dissectedP<0.001
<1237653103736616
≥1232182197730205
Metastasis LNRP<0.001
rN0(0)40546152139025
rN1(0.01–0.20)1281472212092
rN2(0.21–0.60)1148254110941
rN3(>0.60)49932304763

Clinicopathological Differences between the Two Groups

When compared to elderly patients, in group of young ones, it was investigated that significant differences were found among the years of diagnosis (more frequent in recent years(2000–2003), P<0.001), race (less frequent in Caucasian race, p<0.001), pathological grading (more poor or undifferentiation in grade, p<0.001), histological type (more mucinous or signet-ring cancer, p<0.001), AJCC stage (more stage III, p<0.001), No. of LNs dissected (more cases with ≥12 LNs dissected, p<0.001) and LNR(more rN1, p<0.001). As regard to sex (p = 0.62) and primary site (p = 0.43), no significant differences between two groups were found. (Table 1).

Impact of Age on CRC Survival Outcomes

The overall 5-year CCSS was 78.6% in young group and 75.3% in elderly group, which had significant difference in univariate log-rank test (P<0.001) (Fig. 1). Besides, early year of diagnosis (P<0.001), male (P<0.001), African race (P<0.001), rectal cancer (P<0.001), poor or undifferentiation tumor grade (P<0.001), mucinous or signet-ring cancer (P<0.001), higher AJCC stage(P<0.001), less number in LNs dissection(p<0.01) and higher metastatic LNR(P<0.001), were identified as significant risk factors for poor survival on univariate analysis(Table 2). When multivariate analysis with Cox regression was performed, we convinced all these factors as independent prognostic factors (Table 3). These included age (elderly, hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.32–1.52), year of diagnosis (1994–1999, HR 0.83, 95% CI 0.80–0.86; 2000–2003, HR 0.74, 95% CI 0.71–0.76), gender (female, HR 0.87, 95%CI 0.85–0.90), race(African American, HR 1.19,95%CI 1.14–1.25;others, HR 1.59,95%CI 1.50–1.69), primary site(rectal cancer, HR 1.10,95%CI 1.07–1.14), pathological grading(poor or undifferentiation tumor, HR 1.32,95%CI 1.28–1.37), histological type(mucinous cancer, HR 1.10,95%CI 1.03–1.12; signet-ring cancer, HR 1.72,95%CI 1.54–1.92), AJCC stage(stage II, HR 2.91,95%CI 2.59–3.27; stage III, HR 4.83,95%CI 3.32–7.03), metastatic LNR(rN2, HR 1.92,95%CI 1.34–2.75; rN3, HR 3.23,95%CI 2.26–4.63), while the risk between rN0 and rN1 was not statistical difference(P = 0.45).
Figure 1

Survival curves in CRC patients according to age status.

Young group vs. Elderly group, χ2 = 35.84, P<0.001.

Table 2

Univariate survival analyses of CRC patients according to various clinicopathological variables.

Variablen5-year CCSS (%)Log rank χ2 testP
Years of diagnosis333.65P<0.001
1988–19931601770.9%
1994–19992129574.6%
2000–20033252378.3%
Sex105.86P<0.001
male3713074.4%
female3270576.7%
Age35.84P<0.001
≤40301478.6%
41–746682175.3%
Race195.16P<0.001
Caucasian5582476.0%
African American739069.3%
Others* 662178.1%
Primary site144.24P<0.001
Colon cancer5137276.1%
Rectal cancer1846373.6%
Pathological grading1128.17P<0.001
High/Moderate5481278.3%
Poor/undifferentiation1264463.5%
Histological Type584.49P<0.001
Adenocarcinoma6138476.3%
Mucinous cancer780471.7%
Signet-ring cancer64742.6%
AJCC stage7353.52P<0.001
I456396.2%
II3586785.4%
III2940560.1%
No. of LNs dissected36.93P<0.001
<123765374.7%
≥123218276.3%
Metastasis LNR11590.57P<0.001
rN0(0)4054686.6%
rN1(0.01–0.20)1281472.3%
rN2(0.21–0.60)1148256.3%
rN3(>0.60)499336.8%

*including other (American Indian/AK Native, Asian/Pacific Islander) and unknowns.

Table 3

Multivariate Cox model analyses of prognostic factors of CRC.

VariableHazard Ratio95%CIP
Years of diagnosisP<0.001
1988–19931.000
1994–19990.8270.798–0.857
2000–20030.7350.710–0.760
SexP<0.001
male1.000
female0.8740.850–0.899
AgeP<0.001
≤401.000
41–741.4151.315–1.523
RaceP<0.001
Caucasian1.000
African American1.1941.136–1.254
Others* 1.5931.498–1.693
Primary siteP<0.001
Colon cancer1.000
Rectal cancer1.1041.071–1.138
Pathological gradingP<0.001
High/Moderate1.000
Poor/undifferentiation1.3221.279–1.366
Histological TypeP<0.001
Adenocarcinoma1.000
Mucinous cancer1.0751.029–1.123
Signet-ring cancer1.7161.537–1.917
AJCC stageP<0.001
I1.000
II2.9052.586–3.265
III4.8263.315–7.026
No. of LNs dissected0.063
<121.000
≥120.9730.946–1.001
Metastasis LNRP<0.001
rN0(0)1.000
rN1(0.01–0.20)1.1490.802–1.646
rN2(0.21–0.60)1.9181.340–2.746
rN3(>0.60)3.2332.257–4.633

*including other (American Indian/AK Native, Asian/Pacific Islander) and unknowns.

Survival curves in CRC patients according to age status.

Young group vs. Elderly group, χ2 = 35.84, P<0.001. *including other (American Indian/AK Native, Asian/Pacific Islander) and unknowns. *including other (American Indian/AK Native, Asian/Pacific Islander) and unknowns.

Stratified Analysis of Age on Cancer Survival Based on Different Stages

We then made further analysis of age on 5-year CCSS in each stage. The results showed that young patients were significantly associated with better 5-year CCSS than elderly patients in univariate analysis in both stage II and III(P<0.001), but not in stage I (P = 0.605)(Table 4). And age was also validated as independent survival factor in multivariate Cox regression in stage II (elderly, HR 1.71, 95%CI 1.47–2.00, p<0.001) and stage III (elderly, HR 1.33, 95%CI 1.22–1.45, p<0.001) patients(Table 5).
Table 4

Univariate analysis of Age on CCSS based on different stages.

Variablen5-year survival (%)Log rank χ2 testP
Stage I
Age0.5750.448
≤4013396.9%
41–74443096.2%
Stage II
Age56.979P<0.001
≤40138490.5%
41–742448385.2%
Stage III
Age29.677P<0.001
≤40149765.9%
41–742790859.8%
Table 5

Multivariate Cox model analyses of prognostic factors of CRC on different stages.

VariableHazard Ratio95%CIP
Stage II
AgeP<0.001
≤401.000
41–741.7091.465–1.995
Stage III
AgeP<0.001
≤401.000
41–741.3291.222–1.445

P values refer to comparison between two groups and were adjusted for years of diagnosis, sex, age, race, primary site, pathological grading, tumor histotype, No. of LNs dissected, Metastasis LNR as covariates.

P values refer to comparison between two groups and were adjusted for years of diagnosis, sex, age, race, primary site, pathological grading, tumor histotype, No. of LNs dissected, Metastasis LNR as covariates.

Discussion

The current definition of young CRC patients remains controversial. Some studies used the cutoff age of 50 years [15], , while others used 30 years [14], [18] or 45 years [19]. But to date, majority of studies in the literature used the cutoff age of 40 years to denote a young patients with CRC [6], [12], [18], [20], [21]. This lack of a standard definition makes it difficult to make meaningful comparisons between different studies. We defined young patients using an upper limit of 40 years as most studies reported. In our study, the proportion of young patients with CRC with treatment of surgery has raised from 3.80%(609/15408) in year of 1988–1993 to 4.46%(1450/32523) in year of 1999–2003, which was consistent with the published epidemiologic feature [5], [22]. Various studies have reported poorer prognosis among young patients with CRC. Taylor et al. [21] in their review demonstrated that when compared to elderly patients, young patients less than 40 years of age presented with more advanced lesions and had lower survival rates. Similar results were reported by Marble et al [23] and Cusack et al [24]. This reduction in survival has been attributed to more advanced disease at diagnosis [6], [17], [20]. Tumor stage was very powerful factor effect long time survival rate. Poor tumor differentiation and mucinous and signet-ring cancer were also characteristic histological features in these patients [6]. It is well known that mucinous, signet-ring and poorly differentiated tumors tend to have a poorer prognosis compared to well and moderately differentiated tumors [25], Our study show that 5-year CCSS of adenocarcinoma, mucinous and signet-ring cancer was 76.3%, 71.7% and 42.6% respectively, signet-ring cancer is at extremely low rate. In this cohort, despite the significantly higher incidence of poor prognostic factors such as poorly differentiated tumors, mucinous and signet-ring cancer, advanced AJCC stage in young group compared with the patients over 40 years of age, young CRC patients had a better 5-year CCSS, especially in stage II and stage III. This is demonstrated on both univariate and multivariate analysis. Our result is consist with some recently published articles [12], [13]. In this study, we included 3,014 young CRC patients, which is to date the largest number, and excluded CRC patients over 75 years old for short life expectation, which made our results more convincing. Young patients have a poorer biological behavior of carcinoma, but this is compensated by the better overall condition, faster postoperative recovery. In general, a good performance status is essential for the success of chemotherapy [26] and extensive lymphadenectomy. Clinicians are more inclined to gain all therapeutical options in young patients as they are at a better health condition and are more likely to tolerate toxicities associated with chemotherapy [27] while elderly patients always undertreated because of their age [28]. Adjuvant chemotherapy isn’t indication for stage I patients, which could help explaining why there weren’t significant difference in CCSS between young and elderly patients in this stage. Young patients also have a higher proportion of tumors demonstrating microsatellite instability, which are associated with a better prognosis [29]. Examination of at least 12 lymph nodes in the staging of CRC was recommended by the National Comprehensive Cancer Network (NCCN) and American Society for Clinical Oncology (ASCO) and about 65.59%(1977/3014) young CRC patients met this criterion compared with 45.20%(30205/66821) in elderly patients, which difference is statistical. Evaluation of an increasing number of lymph nodes has been shown to be associated with improved survival after resection of colon cancer [30], [31], but the level of significance just failed in multivariable Cox regression models in our study (P = 0.063). we also verified metastatic LNR as an independent prognosis factors by rN classification used by Zhang et al [32]. Although this is a large population-based study evaluating prognosis of young patients with CRC, it has several potential limitations. First, the SEER database lacks several important tumor characteristics (eg, perineural invasion and lymphovascular invasion), cancer therapy (neoadjuvant and adjuvant, quality of surgery). Thus, our analyses could not adjust for these potential confounding factors. Second, this data include only patients who had undergone surgical resection for CRC. As such, this group of patients can not represent CRC patients who had irresectable tumors or refused surgical intervention for various reasons. Still, our study has its convincing power regarding young CRC good survival rate after surgery. In summary, compared to elderly patients, young patients with CRC aged 40 and below appear to have unique characteristics and have a higher CCSS after surgery although they presented with higher proportions of unfavorable biological behavior as well as advanced stage disease.
  32 in total

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