Literature DB >> 25885448

The prognostic significance of age in operated and non-operated colorectal cancer.

Jing Li1,2, Zhu Wang3, Xin Yuan4, Lichun Xu5, Jiandong Tong6.   

Abstract

BACKGROUND: The prognostic significance of age in colorectal cancer remains controversial. Our purpose was to determine the impact of age at diagnosis on cause- specific survival and overall survival in patients with colorectal cancer.
METHODS: Using Surveillance, Epidemiology, and End Results (SEER) population-based data, we identified 226,430 patients with colorectal cancer diagnosed between 1996 and 2005. Patients were separated into 10-year age groups. Five-year cancer cause-specific survival and overall 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: In the operated group, those aged 51-60 had the best prognosis with 5-year cause-specific survival of 72.3% and 5-year overall survival of 68.3%.In the non-operated group, those of young age 15-30 had the best prognosis with 5-year cause-specific survival of 21.2% and 5-year overall survival of 18.2%, and there was continued worsening in cause-specific survival and overall survival with increasing age, except for a small increase in the 51-60 age group (P < 0.001). Multivariable analysis demonstrated a statistically significant disadvantage in cause-specific survival in patients older than 60 (P < 0.001), but the difference between the 51-60 age group and the younger age group (15-30, 31-40, 41-50) wasn't statistically significant (P > 0.05) in both operated and non-operated patients.
CONCLUSIONS: There was no apparent difference in survival in colorectal cancer patients 60 and younger, but in those older than 60 years, there was worsening in overall survival and cause-specific survival in both operated and non-operated patients.

Entities:  

Mesh:

Year:  2015        PMID: 25885448      PMCID: PMC4345025          DOI: 10.1186/s12885-015-1071-x

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Colorectal cancer (CRC) is one of the most common malignancies and is ranked as the second leading cause of cancer-related deaths in the USA [1]. Median age at diagnosis is 69 years, and patients younger than 50 years represent approximately 10% of CRC [1-3]. The incidence of CRC has been increasing in younger patients over time [4]. While age plays a significant role in some cancers, such as thyroid, the notion that age is a significant prognostic factor in CRC has been controversial. For example, various studies have reported poorer prognosis among young patients with CRC [5-7], while other authors have demonstrated that young patients with CRC surgically treated appeared to have a higher cancer specific survival (CSS) rate than elderly ones [8-10]. Some studies showed more advanced stages in old patients [11] whereas others did not [12]. Furthermore, the current definition of young or elderly patients with CRC remains controversial. Although the majority of studies in the literature used the cutoff age of 40 to denote young patients with CRC [5,9,13-15], some other studies have used cutoff age of 30 [15,16], 25 [17] or others [18-20]. The definition of an elderly patient has included cutoffs ages of 60 [21], 70 [22], 75 [23] and even 80 years [24,25]. The majority of studies was individually limited by surgical resection, but did not consider the prognostic significance of age on patients who were not surgically treated. Our primary objective in this study was to determine the impact of age on the primary outcomes of CSS and overall survival (OS) among patients with CRC treated or not treated with surgical resection using data from SEER (Surveillance, Epidemiology, and End Results) database. Our secondary objectives was to determine whether there were differences in clinicopathological characteristics at the time of diagnosis for the various age groups.

Methods

We used data from the SEER cancer registry to conduct this study. SEER, a population-based registry sponsored by the National Cancer Institute, collects information on cancer incidence and survival from 17 population-based cancer registries, including approximately 28% of the U.S. population [26]. SEER data contain no identifiers and are publicly available for studies on 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 was invasive CRC (C18.0-20.9) between 1996 and 2005. Only patients of adult age (≥15 years) were included. Histology types were limited to adenocarcinoma (8150/3, 8210/3, 8261/3, 8263/3), mucinous adenocarcinoma (8480/3), and signet ring cell carcinoma (8490/3). Patients were excluded if they had in situ staging.

Ethics statement

This study was in compliance with the Helsinki Declaration. An independent ethics committee/institutional review board at Yangzhou University approved our study. Data released from the SEER database do not require informed patient consent because they contain no identifiers and were publicly available. We have got permission to access the research data file in the SEER program by National Cancer Institute, USA and the reference number was 11756-Nov2013.

Statistical analysis

Our use of the term “age” refers to “age at diagnosis” when not otherwise specified. Aside from ages 15–30 which were grouped together for a relatively small number of patients, other patients were stratified into 10-year age groups. Rather than dichotomizing patients as younger versus older, use of ten-year age groups allowed for a more detailed analysis of treatment by age. The primary endpoint of this study was CRC–cause-specific survival (CCSS) which was calculated from the date of diagnosis to the date of cancer-specific death and was shown as “SEER cause-specific survival” in SEER database. Overall survival (OS) was calculated from the date of diagnosis to the date of death, which was indicated as “Vital Status” in the SEER database. Age, sex, race, TNM stage, tumor location, tumor grade, histological type, CCSS and, OS were assessed. 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). Chi-square (χ2) tests were used for tests of independent parameters. Survival curves were generated using Kaplan-Meier estimates, and differences between curves were analyzed using the log-rank test. Multivariable Cox regression models were built for analysis of risk factors of survival outcomes. Exact 95% confidence intervals (CIs) for proportions were calculated. The nonlinear effect of age on the hazard ratio (HR) of CRC-specific mortality was assessed using quintic polynomial regression, with the R2 reported. All statistical analysis was done using the statistical software package SPSS for Windows, version 17 (SPSS Inc., Chicago, IL, USA). Statistical significance was set at two-sided P < 0.05.

Results

Clinicopathological differences between age groups

We identified 226,430 eligible patients with CRC in the SEER database during the 10-year study period (between 1996 and 2005). In the 15–30 age group, there were 1,181 patients; 5,333 in the 31–40 age group; 18,727 in the 41–50 age group; 39,125 in the 51–60 age group; 53,540 in the 61–70 age group; 64,642 in the 71–80 age group and 43,882 in the 80+ age group. The proportion of colon cancer patients and Caucasian patients gradually increased with age. Our 51–60, 61–70 and 71–80 age groups had a significantly larger proportion of grade I/II tumors at presentation (P < 0.001), as well as a significantly higher proportion of adenocarcinoma (P < 0.001), The proportions of patients receiving surgical resection was roughly same for the 15–30 to 71–80 age group with proportions varying from 90.2% to 91.4%, but it decreased to 84.1% for 80+ age group. The proportions of patients with stage I/II CRC gradually increased from 27.6% in the 15–30 age group to 46.0% in the 71–80 age group, but it decreased to 44.9% in the 80+ age group, which had highest proportion of unstaged patients (P < 0.05) (Table 1).
Table 1

Characteristics of patients from SEER database by age

15-3031-4041-5051-6061-7071-80>80P value
Characteristic(n = 1181)(n = 5333)(n = 18727)(n = 39125)(n = 53540)(n = 64642)(n = 43882)
Site<0.001
Colon87838541361929335420675276736839
%76.1%73.6%73.8%76.1%79.8%83.0%85.6%
Rectum27613824823919410625107726205
%23.9%26.4%26.2%23.9%20.2%17.0%14.4%
Sex
Male62228811018822876304433215716326<0.001
%52.7%54.0%54.4%58.5%56.9%49.7%37.2%
Female5592452853916249230973248527556
%47.3%46.0%45.6%41.5%43.1%50.3%62.8%
Surgery Resection<0.001
Yes107348741702535729489095824836890
%90.9%91.4%90.9%91.3%91.4%90.2%84.1%
No9841615943150431860176647
%8.3%7.8%8.5%8.1%8.1%9.3%15.2%
Unknown1043105243292347316
%0.8%0.8%0.6%0.6%0.5%0.5%0.7%
Grade<0.001
I/II68735551319628331390034686930960
%58.2%66.7%70.5%72.4%72.8%72.5%70.6%
III/IV3581232358966499212117278526
%30.3%23.1%19.2%17.0%17.2%18.1%19.4%
Unknown13654619424145532560464396
%11.5%10.2%10.4%10.6%9.9%9.4%10.0%
Race<0.001
Caucasian86539431406230358427855422738195
%73.2%73.9%75.1%77.6%79.9%83.9%87.0%
African American15872626895190614455503101
%13.4%13.6%14.4%13.3%11.5%8.6%7.1%
Others*15363718643361435846042458
%13.0%11.9%10.0%8.6%8.1%7.1%5.6%
Unknown527112216253261128
%0.4%0.5%0.6%0.6%0.5%0.4%0.3%
Histological Type<0.001
Adenocarcinoma83343631622534740475365690538431
%72.2%82.5%86.9%89.0%88.9%88.1%87.7%
Mucinous/Signet-ring cancer32092724404308592776555384
%27.8%17.5%13.1%11.0%11.1%11.9%12.3%
AJCC stage<0.001
I- II3261857673615467230312974319712
%27.6%34.8%36.0%39.5%43.0%46.0%44.9%
III -IV7052828943217834227532532815786
%59.7%53.0%50.4%45.6%42.5%39.2%36.0%
Unknown15064825595824775695718384
%12.7%12.2%13.7%14.9%14.5%14.8%19.1%

*Including American Indian/AK Native, Asian/Pacific Islander.

Characteristics of patients from SEER database by age *Including American Indian/AK Native, Asian/Pacific Islander.

Impact of age on survival outcomes in patients with CRC

We observed two significant findings. First, in the operated group, those aged 51–60 had the best prognosis with a 5-year CCSS of 72.3% and a 5-year OS of 68.3%. Patients in the 15–30 age group had reduced CCSS and OS rates, but they were better than those in the 80+ age group, especially for OS. Second, in the non-operated group, there was continued worsening in CCSS and OS with increasing age, except for a slight increase in the 51–60 age group. The 5-year CCSS and OS rates decreased from 21.2% to 11.9% and from 18.2% to 4.3% in the 15–30 compared with 80+ age group, respectively (Table 2).
Table 2

Long time survival rate (CSS/OS) in colorectal cancer by age

15-3031-4041-5051-6061-7071-80>80P value
Total (n = 1181)(n = 5333)(n = 18727)(n = 39125)(n = 53540)(n = 64642)(n = 43882)
CSS<0.001
1-year CCS84.6%88.8%88.8%88.7%86.8%82.8%74.2%
3-year CCS66.4%72.7%73.3%75.1%74.1%70.4%60.0%
5-year CCS58.5%65.7%66.3%68.0%67.6%64.0%53.5%
OS
1-year OS83.5%87.9%87.8%87.2%83.9%77.3%63.8%
3-year OS64.8%71.0%71.6%72.4%68.9%60.5%43.0%
5-year OS56.6%63.6%63.5%64.0%60.0%49.9%30.5%
Operated group (n = 1073)(n = 4874)(n = 17025)(n = 35729)(n = 48909)(n = 58248)(n = 36890)
5-year CCS<0.001
1-year CCS88.4%91.7%92.3%92.1%90.6%87.3%80.6%
3-year CCS70.4%76.5%77.9%79.5%78.4%75.2%67.0%
5-year CCS62.1%69.6%70.7%72.3%71.8%68.6%60.1%
OS
1-year OS87.4%90.9%91.6%90.8%88.0%82.3%70.7%
3-year OS69.1%75.1%76.3%76.8%73.4%65.5%49.5%
5-year OS60.4%67.6%68.3%68.3%64.2%54.2%35.3%
Non-operated group (n = 98)(n = 416)(n = 1594)(n = 3150)(n = 4318)(n = 6017)(n = 6647)
CSS
1-year CCS42.7%55.6%50.2%50.3%43.0%37.4%36.5%
3-year CCS25.2%27.2%23.4%25.6%23.3%20.7%17.0%
5-year CCS21.2%20.3%18.4%19.7%18.3%16.7%11.9%
OS
1-year OS41.1%54.0%48.1%47.6%38.7%30.7%26.3%
3-year OS21.6%25.0%21.8%23.0%19.2%14.2%8.4%
5-year OS18.2%18.0%16.4%17.0%14.0%9.8%4.3%
Long time survival rate (CSS/OS) in colorectal cancer by age The results of the univariate survival analysis and multivariable Cox proportional hazard regression analysis of age and various covariates with respect to CCSS in operated and non-operated groups are shown in Tables 3, 4, 5 and 6, and Figures 1 and 2. In the operated group, multivariable analysis demonstrated statistically significant increases in HR after age 60. Patients in the 61–70 age group were 1.1 times more likely to die of cancer than patients in the 51–60 age group. The risk was significantly higher for the patients in the 71–80 age group who were 1.3 times more likely to die of cancer than those in the 51–60 age group. Finally, the risk was higher still for patients in the 80+ age group who were 1.9 times more likely to die of cancer than 51–60 year old patients. Patients in the elderly age groups (61–70, 71–80, and 80+) had significantly worse survival than those in the 51–60 age group (P < 0.001), but the difference in survival between those in the 51–60 age group compared with the other three younger age groups (15-30, 31-40, 41-50) wasn’t statistically significant (P > 0.05) (Table 5). The plot of HRs in this subgroup showed a hook-shaped curve and HRs sharply increased in the above 60 age group (Table 5, Figure 3a).
Table 3

Univariate survival analyses of CRC patients in operated group according to various clinicopathological variables

Variablen5-year CCSS (%)Log rankχ2testP
Years of diagnosis65.374<0.001
1996-20007551767.5%
2001-200512723169.5%
Sex2.5200.112
Male10308369.0%
Female9966568.5%
Site122.381<0.001
Colon12761868.2%
Rectum3553071.6%
Age1112.554<0.001
15-30107362.1%
31-40487469.6%
41-501702570.7%
51-603572972.3%
61-704890971.8%
71-805824868.6%
>803689060.1%
Race0.0360.850
Caucasian16601969.2%
African American2014961.6%
Others*1658072.4%
Pathological grading812.382<0.001
I- II15052172.0%
III-IV3801852.7%
Unknown1420977.2%
Histological Type1162.165<0.001
Adenocarcinoma17774870.0%
Mucinous/Signet ring cancer2500059.7%
AJCC stage16776.287<0.001
I3736492.6%
II5921381.5%
III5423461.3%
IV2770712.6%
Unknown2423081.8%
No. of LNs dissected337.494<0.001
<1211678369.6%
≥128024869.0%
Unknown571747.7%

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

Table 4

Univariate survival analyses of CRC patients in non-operated group according to various clinicopathological variables

Variablen5-year CCSS (%)Log rankχ2testP
Years of diagnosis8.1820.004
1996-2000761716.6%
2001-20051462316.5%
Sex19.224<0.001
Male1162216.7%
Female1061816.3%
Site443.334<0.001
Colon1511914.8%
Rectum712120.1%
Age257.702<0.001
15-309821.2%
31-4041620.3%
41-50159418.4%
51-60315019.7%
61-70431818.3%
71-80601716.7%
>80664711.9%
Race26.525<0.001
Caucasian1725016.5%
African American321812.2%
Others*177223.9%
Pathological grading812.382<0.001
I- II1127519.9%
III-IV31139.2%
Unknown785214.4%
Histological Type116.240<0.001
Adenocarcinoma2036217.2%
Mucinous/Signet ring cancer18789.3%
AJCC stage1115.463<0.001
I8274.8%
II18964.7%
III12846.0%
IV122023.5%
Unknown963932.8%

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

Table 5

Multivariate Cox model analyses of prognostic factors of CRC in operated group

VariableHazard ratio95%CIP
Years of diagnosis<0.001
1996-20001.000Reference
2001-20050.9440.930-0.959
Site<0.001
Colon1.000Reference
Rectum1.0441.023-1.066
Age<0.001
15-301.0550.955-1.1650.294
31-400.9540.906-1.0050.077
41-500.9790.948-1.0110.203
51-601.000Reference
61-701.0821.056-1.109<0.001
71-801.3251.294-1.356<0.001
>801.9511.902-2.002<0.001
Pathological grading<0.001
I- II1.000Reference
III-IV1.4431.418-1.468<0.001
Unknown0.9130.880-0.948<0.001
Histological Type<0.001
Adenocarcinoma1.000Reference
Mucinous/Signet ring cancer1.2001.175-1.226
AJCC stage<0.001
I- II1.000Reference
III- IV4.8804.791-4.971<0.001
Unknown1.1701.130-1.210<0.001
No. of LNs dissected<0.001
<121.000Reference
≥120.7930.780-0.806<0.001
Unknown2.2692.183-2.358<0.001
Table 6

Multivariate Cox model analyses of prognostic factors of CRC in non-operated group

VariableHazard ratio95%CIP
Years of diagnosis<0.001
1996-20001.000Reference
2001-20050.8690.840-0.899
Sex0.881
Male1.000Reference
Female0.9970.965-1.031
Site<0.001
Colon1.000Reference
Rectum0.8420.814-0.872
Age<0.001
15-300.9750.761-1.2510.845
31-400.8860.784-1.0020.055
41-501.0210.951-1.0970.567
51-601.000Reference
61-701.1851.121-1.253<0.001
71-801.4631.388-1.543<0.001
>801.8591.762-1.961<0.001
Race<0.001
Caucasian1.000Reference
African American1.1601.109-1.214<0.001
Others*0.8710.818-0.927<0.001
Pathological grading<0.001
I- II1.000Reference
III-IV1.4301.365-1.498<0.001
Unknown1.1411.100-1.184<0.001
Histological Type0.001
Adenocarcinoma1.000Reference
Mucinous/Signet ring cancer1.1121.050-1.177
AJCC stage<0.001
I- II1.000Reference
III- IV7.8086.260-9.739<0.001
Unknown2.7352.192-3.412<0.001

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

Figure 1

Survival curves according to each age subgroups in colorectal patients in operated group.

Figure 2

Survival curves according to each age subgroups in colorectal patients in non-operated group.

Figure 3

Estimates of hazard ratios (HRs) of colorectal cancer-specific mortality changing with age for (a) operated and (b) non-operated group using quintic polynomial regression. The solid blue lines represent the estimates of HRs, whereas the dotted orange lines represent the 95% confidence intervals. All R2 values are reported.

Univariate survival analyses of CRC patients in operated group according to various clinicopathological variables *Including other (American Indian/AK Native, Asian/Pacific Islander) and unknowns. Univariate survival analyses of CRC patients in non-operated group according to various clinicopathological variables *Including other (American Indian/AK Native, Asian/Pacific Islander) and unknowns. Multivariate Cox model analyses of prognostic factors of CRC in operated group Multivariate Cox model analyses of prognostic factors of CRC in non-operated group *Including other (American Indian/AK Native, Asian/Pacific Islander) and unknowns. Survival curves according to each age subgroups in colorectal patients in operated group. Survival curves according to each age subgroups in colorectal patients in non-operated group. Estimates of hazard ratios (HRs) of colorectal cancer-specific mortality changing with age for (a) operated and (b) non-operated group using quintic polynomial regression. The solid blue lines represent the estimates of HRs, whereas the dotted orange lines represent the 95% confidence intervals. All R2 values are reported. In the non-operated groups, multivariable analysis demonstrated similar results with the operated group. The risk of death from CRC continued to increase in the above 60 age group, such that patients in the 61–70, 71–80 and 80+ age groups were 1.2, 1.5 and 1.9 times, respectively more likely to die of cancer than patients in the 51–60 age group. Those in the 15-30, 31-40, 41-50 age groups experienced similar CCSS compared with those in the 51–60 age group (P > 0.05) (Table 6). The curves of the HRs in these groups was steadily constant until the age of 40, when the HR started to apparently increase with increasing age (Table 6 and Figure 3b).

Discussion

Conflicting results have been reported regarding whether age affects the prognosis of CRC. In general, it is assumed that young patients have a higher prevalence of mucinous or poorly differentiated tumors including signet ring carcinoma and later stage and elderly patients have a higher percentage of comorbidities and emergency surgeries, all of which means poorer prognosis compared with others. Whether age itself is an independent survival factor is unknown. Previous studies have demonstrated that age influences CSS in certain cancer types. One example is well differentiated thyroid cancer for which the American Joint Committee on Cancer (AJCC) incorporates age into its staging criteria: patients less than 45 years of age with well differentiated thyroid cancer cannot be diagnosed with stage III or IV disease [27]. In our study cohort, we found that patients in the 51–60 age group had a relatively good prognosis, and the difference with elderly age groups (61-70-, 71–80, 80+) was statistically significant, but the difference between the 51–60 and younger groups was not significant. This result was validated in both operated and non-operated age groups. Although young patients always had a higher prevalence of later stage (stage III/IV) and mucinous, signet-ring and poorly differentiated tumors which tended to have a poorer prognosis compared with well and moderately differentiated tumors [28], the surgical resection rate and survival rate were comparable with other age groups in our study. What is interesting is that if patients didn’t undergo surgical resection, the younger they were, the better was the prognosis. Generally, CRC is thought to be a malignancy affecting mostly the elderly, with more than 90% of patients being diagnosed after age 55, and our study indicated that it seems reasonable to use 60 years as the cutoff between young and elderly patients. We then conducted an analysis comparing clinicopathological and survival analysis comparing groups of patients above and below 60 years of age, Young patients with CRC aged 60 and below had unfavorable clinicopathological characteristics, but they still had a higher CSS (χ2 = 631.268, P < 0.001). (Additional file 1: Table S1 and Additional file 2: Figure S1). In general, young patients always had a good performance status, which is essential for the success of chemotherapy [29] and extensive lymphadenectomy. Clinicians are more inclined to use all therapeutic options, such as combination chemotherapy and surgery in young patients than elderly ones because they are in better health and are more likely to tolerate toxicities associated with chemotherapy [10,30,31]. In a retrospective large multi-institutional study, chemotherapy use in patients with stage III disease decreased with increasing age, with patients >80 years receiving adjuvant chemotherapy in only 25.6% of cases in comparison with 82.4% of cases in patients <40. For select patients with stage II disease, younger patients more frequently received chemotherapy than older patients (69.2% for those <40 year, 46.0% for those 40–50, 27.0% for those 50–80 and 5.6% for those >80 years of age), and similar results were found in rectal cancer [32]. Increased adjuvant therapy use in younger patients may partially account for stage-specific increases in survival. Moreover, the sharp decline in the use of adjuvant therapy with increasing age could not be justified by the effect of comorbidities, treatment toxicity, short natural life expectancies, and health care [32,33]. In several institutional series, young patients more often received regional or surgical therapy compared with older patients [13,34,35]. Conversely, poor tolerance to treatment due to poor performance status or the presence of other comorbid medical conditions may contribute to inferior survival of older patients [12]. Chagpar et al. found that, among patients with stage III disease, older age was associated with under treatment, independent of preexisting comorbidities, as well as other clinical pathologic and socioeconomic factors [36]. When concerning metastatic CRC, several studies have shown a significant improvement in survival when comparing patients managed with primary tumor resection to those managed with chemotherapy alone [31,37-39], but in fact elderly patients are less likely to receive palliative surgery. Our data demonstrated that patients in the 80+ age group had an extremely low surgical resection rate although they had relatively good clinicopathological characteristics. Less aggressive treatment offered to patients with limited comorbidities was likely to impact on their outcome [40]. Young patients also have a higher proportion of tumors demonstrating microsatellite instability, which are associated with a better prognosis [41]. Although survival of patients with advanced CRC has significantly increased in clinical trials incorporating new therapeutic agents [42], a meta-analysis comparing younger and older patients with advanced CRC enrolled in randomized clinical trials of newer chemotherapy agents between 1995 and 2004 demonstrated equal survival in both groups [43]. In fact, patients enrolled in clinical trials are always strictly selected and under thorough supervision. Our analysis of the SEER data demonstrated that the younger the patients were, the better their survival, even for patients who received no surgical therapy. This study adds to current knowledge by answering more in-depth research questions about age and prognosis through analysis large population-based data from the SEER database, however, it had several potential limitations. First, the SEER database only had limited information on tumor factors, which could affect survival analysis. Second, concerning treatment modalities, the SEER definition of surgery does not separate treatment with palliative intent from that with curative intent. Thus, the beneficial effect of surgery on survival may be underestimated, specifically for those patients who underwent radical resection. Finally, the SEER database does not include information on comorbidities which limits our ability to calculate the impact of comorbid conditions on CSS. Various studies on CRC surgery and treatment outcomes show a progressive increase in post-operative morbidity and mortality with advancing age [44,45], which are likely to impact their short-term survival. Moreover, some studies have shown that postoperative morbidity had a negative impact on long-term outcomes following radical surgery of various tumors [46-48]. Still, our study has sufficient power for a larger population-based study.

Conclusions

In conclusion, our study demonstrated that in the operated group, those aged 51–60 had the best prognosis, while in the non-operated groups, those of very young age 15–30 had the best prognosis. Both CCS and OS continued to decline with further advances in age after 60 as exemplified by worsening survival in the >60 age group. Recognition of these findings is important for clinicians who must consider if age should be incorporated into their assessments and treatment decisions for patients with CRC.
  47 in total

1.  Survival factors in 186 patients younger than 40 years old with colorectal adenocarcinoma.

Authors:  J C Cusack; G G Giacco; K Cleary; B S Davidson; F Izzo; J Skibber; J Yen; S A Curley
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2.  Prognostic factors in colorectal carcinoma of young adults.

Authors:  M C Taylor; D Pounder; N H Ali-Ridha; A Bodurtha; E C MacMullin
Journal:  Can J Surg       Date:  1988-05       Impact factor: 2.089

3.  Does postoperative complication have a negative impact on long-term outcomes following hepatic resection for colorectal liver metastasis?: a meta-analysis.

Authors:  Akihisa Matsuda; Satoshi Matsumoto; Tomoko Seya; Takeshi Matsutani; Taro Kishi; Kimiyoshi Yokoi; Ping Wang; Eiji Uchida
Journal:  Ann Surg Oncol       Date:  2013-04-26       Impact factor: 5.344

4.  The impact of age on colorectal cancer incidence, treatment, and outcomes in an equal-access health care system.

Authors:  Scott R Steele; Grace E Park; Eric K Johnson; Matthew J Martin; Alexander Stojadinovic; J A Maykel; Marlin W Causey
Journal:  Dis Colon Rectum       Date:  2014-03       Impact factor: 4.585

5.  Age and adjuvant chemotherapy use after surgery for stage III colon cancer.

Authors:  D Schrag; L D Cramer; P B Bach; C B Begg
Journal:  J Natl Cancer Inst       Date:  2001-06-06       Impact factor: 13.506

6.  Childhood, adolescents, and young adults (≤25 y) colorectal cancer: study of Anatolian Society of Medical Oncology.

Authors:  Muhammet A Kaplan; Abdurrahman Isikdogan; Mahmut Gumus; Ulku Y Arslan; Caglayan Geredeli; Nuriye Ozdemir; Dogan Koca; Faysal Dane; Ali Suner; Emin T Elkiran; Mehmet Kucukoner; Mesut Seker; Kaan Helvaci; Tunc Guler; Dogan Uncu; Ali Inal; Ramazan Yildiz
Journal:  J Pediatr Hematol Oncol       Date:  2013-03       Impact factor: 1.289

7.  Rates of colon and rectal cancers are increasing in young adults.

Authors:  Jessica B O'Connell; Melinda A Maggard; Jerome H Liu; David A Etzioni; Edward H Livingston; Clifford Y Ko
Journal:  Am Surg       Date:  2003-10       Impact factor: 0.688

8.  Assessment of outcomes after colorectal cancer resection in the elderly as a rationale for screening and early detection.

Authors:  A J Clark; D Stockton; A Elder; R G Wilson; M G Dunlop
Journal:  Br J Surg       Date:  2004-10       Impact factor: 6.939

9.  Characteristics of colorectal cancer in young patients at an urban county hospital.

Authors:  Benjamin Karsten; Justin Kim; Justin King; Ravin R Kumar
Journal:  Am Surg       Date:  2008-10       Impact factor: 0.688

10.  Impact of postoperative complications on long-term survival after radical resection for gastric cancer.

Authors:  Qing-Guo Li; Ping Li; Dong Tang; Jie Chen; Dao-Rong Wang
Journal:  World J Gastroenterol       Date:  2013-07-07       Impact factor: 5.742

View more
  9 in total

1.  Oncologic outcome of colorectal cancer patients over age 80: a propensity score-matched analysis.

Authors:  Bo Young Oh; Jung Wook Huh; Hee Cheol Kim; Yoon Ah Park; Yong Beom Cho; Seong Hyeon Yun; Woo Yong Lee; Ho-Kyung Chun
Journal:  Int J Colorectal Dis       Date:  2018-03-21       Impact factor: 2.571

2.  High expression of Zinc-finger protein X-linked promotes tumor growth and predicts a poor outcome for stage II/III colorectal cancer patients.

Authors:  Xuebing Yan; Zezhi Shan; Leilei Yan; Qingchao Zhu; Liguo Liu; Bing Xu; Sihong Liu; Zhiming Jin; Yuping Gao
Journal:  Oncotarget       Date:  2016-04-12

3.  Effect of Age on Survival Outcome in Operated and Non-Operated Patients with Colon Cancer: A Population-Based Study.

Authors:  ZhongHua Jiang; XiaoHong Wang; XueMing Tan; ZhiNing Fan
Journal:  PLoS One       Date:  2016-01-20       Impact factor: 3.240

4.  Adjuvant radiotherapy improves cause specific survival in stage II, not stage III mucinous carcinoma of the rectum.

Authors:  Qingguo Li; Yaqi Li; Weixing Dai; Sheng Wang; Ye Xu; Xinxiang Li; Sanjun Cai
Journal:  BMC Cancer       Date:  2017-01-26       Impact factor: 4.430

5.  Using nomograms to predict prognostic factors in young colorectal mucinous and signet-ring cell adenocarcinoma patients.

Authors:  Baochun Wang; Juntao Zeng; Yuren Liu
Journal:  Biosci Rep       Date:  2019-07-18       Impact factor: 3.840

6.  Prognostic Nomograms to Predict Survival of Patients with Resectable Gallbladder Cancer: A Surveillance, Epidemiology, and End Results (SEER)-Based Analysis.

Authors:  Yan Lin; Hua Chen; Fan Pan
Journal:  Med Sci Monit       Date:  2021-03-30

7.  Nomograms incorporated serum direct bilirubin level for predicting prognosis in stages II and III colorectal cancer after radical resection.

Authors:  Qunfeng Zhang; Xiaowei Ma; Qunhuan Xu; Juanxiu Qin; Yanhua Wang; Qian Liu; Hua Wang; Min Li
Journal:  Oncotarget       Date:  2016-08-19

8.  Long-term outcomes and prognostic factors of young patients with mucinous and signet-ring cell colorectal cancer.

Authors:  Rui Zhang; Jian Zhao; Jian Xu; Yuzhe Chen
Journal:  Arch Med Sci       Date:  2020-03-02       Impact factor: 3.318

9.  Oncologic Outcome and Efficacy of Chemotherapy in Colorectal Cancer Patients Aged 80 Years or Older.

Authors:  Wenting Liu; Mengyuan Zhang; Jun Wu; Ran Tang; Liqun Hu
Journal:  Front Med (Lausanne)       Date:  2020-10-23
  9 in total

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