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Erschienen in: BMC Cancer 1/2022

Open Access 01.12.2022 | Research

The short-term and oncologic outcomes of younger VS older colorectal cancer patients undergoing primary surgery: a propensity score matching analysis

verfasst von: Xiao-Yu Liu, Bing Kang, Yu-Xi Cheng, Chao Yuan, Wei Tao, Bin Zhang, Zheng-Qiang Wei, Dong Peng

Erschienen in: BMC Cancer | Ausgabe 1/2022

Abstract

Purpose

The purpose of the current study is to analyze the difference of short-term and oncologic outcomes between younger and older colorectal cancer (CRC) patients who underwent primary CRC surgery using a propensity score matching (PSM) analysis.

Methods

We retrospectively collected CRC patients who underwent primary surgery in a single clinical database from Jan 2011 to Jan 2020. The short-term and oncologic outcomes were compared between younger aged group and older aged group.

Results

A total of 4599 patients were included in this study, and there were 4196 patients in older aged group and 403 patients in younger aged group. After 1:1 ratio PSM, there were 401 patients in each group. No significant difference was found in terms of baseline information after PSM (p>0.05). Younger aged group had larger retrieved lymph nodes before (p<0.001) and after PSM (p=0.001) than older aged group. In multivariate analysis, younger age was an independent predictor of better overall survival (OS) (p<0.001, HR=2.303, 95% CI=1.658-3.199) and disease-free survival (DFS) (p=0.008, HR=1.425, 95% CI=1.098-1.850). In terms of different tumor stage after PSM, younger aged group had better OS than older group in stage II (p<0.001) and stage IV (p=0.028) CRC, and younger aged group had better DFS than older group in stage II (p=0.016) CRC.

Conclusion

Younger CRC patients had larger retrieved lymph nodes and better prognosis than older CRC patients after primary CRC surgery.
Hinweise
Xiao-Yu Liu and Bing Kang are co-first authors.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Colorectal cancer (CRC) is one of the most common cancers with approximate 185 million cases worldwide [1], in addition, CRC is one of the most common causes of cancer-related deaths, with nearly 700,000 deaths every year [2]. Radical surgery is the cornerstone of CRC treatment [35].
The American Cancer Society updated the CRC screening guidelines recently. A major change was related to the start of screening age which was recommended from 50 to 45 years old [6]. Based on the recent data, although the incidence of CRC decreased, the incidence of younger CRC patients was increasing [7].
It remained controversial whether younger CRC patients were related to the prognosis [811]. Some studies reported that younger CRC patients had better prognosis [8], however, other studies reported younger CRC patients were associated with poorer prognosis [911]. Furthermore, there was only one study which analyzed the difference between younger and older CRC patients using a propensity score matching (PSM) analysis, however, this study focused on cancer-specific survival [12]. Therefore, the purpose of this study is to analyze the difference of short-term outcomes, overall survival (OS) and disease-free survival (DFS) between younger and older CRC patients who underwent primary CRC surgery using PSM.

Methods

Patients

We retrospectively collected CRC patients who underwent primary surgery in a single clinical database from Jan 2011 to Jan 2020. The study was approved by the ethics committee of our institution (The First Affiliated Hospital of Chongqing Medical University, 2021-517), and all patients signed informed consent forms. This study was conducted in accordance with the World Medical Association Declaration of Helsinki as well.

Inclusion and exclusion criteria

Patients who underwent primary CRC surgery and diagnosed by pathology were included in this study (n=5473). The exclusion criteria were as follows: 1, Patients with incomplete clinical medical data (n=849); and 2, Non-R0 resection (n=25). Finally, a total of 4599 patients were included in this study.

Surgery management and follow-up

The radical CRC surgery was according to the principles of oncology. Total mesorectal excision or complete mesocolic excision was performed, and the pathology confirmed R0 resection. Patients were followed up regularly three months for three years and six months for the following two years.

Definitions

The tumor stage was diagnosed according to the AJCC 8th Edition [13]. The younger aged group was defined as the age was ≤ 45 years old, the older aged group was defined as the age was > 45 years old. The complications were defined according to the Clavien-Dindo classification [14], and major complications were defined as ≥ III classification complications. OS was defined as the time from CRC surgery to death or last follow-up. DFS was defined as the time from CRC surgery to recurrence, death or last follow-up.

Data collection

The perioperative and follow-up information were collected through the inpatient system, outpatient system and telephone interviews. The baseline information included sex, age, smoking, drinking, hypertension, type 2 diabetes mellitus (T2DM), coronary heart disease (CHD) and tumor location. The surgical information included operation time and blood loss. The pathologic information included tumor stage and retrieved lymph nodes. The postoperative information included complications and postoperative hospital stay.

PSM

PSM was conducted between younger aged group and older aged group to minimize the bias of baseline information. Nearest neighbor matching was performed without replacement at a 1:1 ratio and a caliper width with a 0.01 standard deviation was specified. The matched baseline information was as follows: sex, BMI, drinking, smoking, T2DM, hypertension, CHD, tumor location and tumor stage.

Statistical analysis

Continuous variables are expressed as the mean ± SD and independent-sample t test was used to analyze the difference between younger aged group and older aged group. Frequency variables are expressed as n (%), and Chi-square test or Fisher's exact test was used. The Kaplan-Meier curve was conducted to compare the age (younger/ older) on different tumor stage, and cox regression analyses were performed to identify independent predictive factors for OS and DFS. Data were analyzed using SPSS (version 22.0) statistical software. A bilateral p value of <0.05 was considered statistically significant.

Results

Patients

A total of 4599 patients were included in this study according to the inclusion and exclusion criteria, and there were 4196 patients in older aged group and 403 patients in younger aged group. After 1:1 ratio PSM, there were 401 patients in each group (Fig 1).

Baseline information

The baseline information was compared between the two groups. The age was 39.4 ± 5.4 years old in younger aged group and 65.1 ± 10.0 years old in older aged group. Younger group had higher portion of hypertension (p<0.001), T2DM (p<0.001) and CHD (p<0.001) before PSM. After 1:1 ratio PSM, there were 401 patients in each group, and no significant difference was found in terms of baseline information (p>0.05) (Table 1).
Table 1
Baseline characteristics before and after PSM
Characteristics
Before PSM
After PSM
Younger (403)
Older (4196)
P value
Younger (401)
Older (401)
P value
Age (year)
39.4 ± 5.4
65.1 ± 10.0
<0.001*
39.5 ± 5.4
63.2 ± 9.8
<0.001*
Sex
  
0.379
  
0.567
  Male
229 (56.8%)
2479 (59.1%)
 
228 (56.9%)
236 (58.9%)
 
  Female
174 (43.2%)
1717 (40.9%)
 
173 (43.1%)
165 (41.1%)
 
BMI (kg/m2)
22.8 ± 3.4
22.7 ± 3.2
0.323
22.8 ± 3.3
22.6 ± 3.2
0.325
Smoking
144 (35.7%)
1611 (38.4%)
0.293
143 (35.7%)
149 (37.2%)
0.660
Drinking
113 (28.0%)
1310 (31.2%)
0.187
112 (27.9%)
113 (28.2%)
0.937
Hypertension
22 (5.5%)
1169 (21.8%)
<0.001*
22 (5.5%)
24 (6.0%)
0.761
T2DM
7 (1.7%)
567 (13.5%)
<0.001*
7 (1.7%)
3 (0.7%)
0.203
CHD
1 (0.2%)
189 (4.5%)
<0.001*
1 (0.2%)
2 (0.5%)
1.000
Tumor location
  
0.235
  
0.724
  Colon
201 (49.9%)
1963 (46.8%)
 
199 (49.6%)
194 (48.4%)
 
  Rectum
202 (50.1%)
2233 (53.2%)
 
202 (50.4%)
207 (51.6%)
 
Tumor stage
  
0.988
  
0.947
  I
75 (18.6%)
790 (18.8%)
 
75 (18.7%)
72 (18.0%)
 
  II
165 (40.9%)
1736 (41.4%)
 
165 (41.1%)
171 (42.6%)
 
  III
146 (36.3%)
1485 (35.4%)
 
144 (35.9%)
139 (34.7%)
 
  IV
17 (4.2%)
185 (4.4%)
 
17 (4.3%)
19 (4.7%)
 
Note: Variables are expressed as the mean ± SD, n (%), *P-value <0.05.
Abbreviations: T2DM type 2 diabetes mellitus; BMI body mass index; PSM propensity score matching; CHD coronary heart disease.

Short-term outcomes

The short-term outcomes included operation time, blood loss, retrieved lymph nodes, postoperative hospital stay and complications. We compared the difference between younger aged group and older aged group in terms of short-term outcomes. Younger aged group had larger retrieved lymph nodes before (p<0.001) and after PSM (p=0.001) than older aged group (Table 2).
Table 2
Short-term outcomes before and after PSM
Characteristics
Before PSM
After PSM
Younger (403)
Older (4196)
P value
Younger (401)
Older (401)
P value
Operation time (min)
236.8 ± 83.5
227.6 ± 83.5
0.038*
237.0 ± 83.6
227.9 ± 84.0
0.126
Blood loss (mL)
109.4 ± 127.3
106.9 ± 152.3
0.756
109.6 ± 127.6
105.5 ± 123.4
0.643
Retrieved lymph nodes
16.9 ± 8.8
14.6 ± 7.5
<0.001*
16.9 ± 8.8
15.0 ± 7.2
0.001*
Hospital stay (day)
11.3 ± 7.6
11.5 ± 8.8
0.682
11.3 ± 7.6
11.5 ± 8.2
0.731
Overall complications
77 (19.1%)
940 (22.4%)
0.128
76 (19.0%)
93 (23.2%)
0.141
Major complications
7 (1.7%)
104 (2.5%)
0.354
7 (1.7%)
14 (3.5%)
0.122
Note: Variables are expressed as the mean ± SD, n (%), *P-value <0.05
Abbreviations: PSM propensity score matching

Univariate and multivariate analysis of OS and DFS

Univariate analysis was conducted to find potential factors for predicting OS and DFS, and multivariate analysis was conducted to identify independent predictors of OS and DFS.
In terms of OS, age (p<0.001, HR=2.303, 95% CI=1.658-3.199), tumor stage (p<0.001, HR=2.141, 95% CI=1.940-2.363), overall complications (p<0.001, HR=1.607, 95% CI=1.363-1.893) and major complications (p<0.001, HR=2.303, 95% CI=1.658-3.199) were independent predictors of OS (Table 3).
Table 3
Univariate and multivariate analysis of overall survival
Risk factors
Univariate analysis
Multivariate analysis
HR (95% CI)
P value
HR (95% CI)
P value
Age (older/ younger)
1.800 (1.313-2.468)
<0.001*
2.303 (1.658-3.199)
<0.001*
Sex (female/male)
0.865 (0.744-1.007)
0.061
  
BMI (>/≤22.6)
0.842 (0.726-0.977)
0.023*
0.889 (0.766-1.032)
0.121
Hypertension (yes/no)
1.096 (0.927-1.294)
0.284
  
T2DM (yes/no)
1.284 (1.037-1.589)
0.022*
1.136 (0.916-1.410)
0.245
Tumor site (colon/ rectum)
1.182 (1.020-1.370)
0.026
1.156 (0.997-1.340)
0.054
Tumor stage (IV/III/II/I)
2.138 (1.937-2.360)
<0.001*
2.141 (1.940-2.363)
<0.001*
Smoking (yes/no)
1.124 (0.968-1.306)
0.126
  
Drinking (yes/no)
1.102 (0.942-1.290)
0.226
  
CHD (yes/no)
1.338 (0.943-1.899)
0.102
  
Overall complications (yes/no)
1.807 (1.548-2.108)
<0.001*
1.607 (1.363-1.893)
<0.001*
Major complications (yes/no)
2.900 (2.130-3.948)
<0.001*
2.303 (1.658-3.199)
<0.001*
Note: *P-value <0.05
Abbreviations: HR Hazard ratio; CI confidence interval; BMI body mass index; T2DM type 2 diabetes mellitus; CHD coronary heart disease
As for DFS, age (p=0.008, HR=1.425, 95% CI=1.098-1.850), tumor stage (p<0.001, HR=2.100, 95% CI=1.921-2.295), overall complications (p<0.001, HR=1.504, 95% CI=1.293-1.750) and major complications (p<0.001, HR=2.015, 95% CI=1.461-2.776) were independent predictors of DFS (Table 4).
Table 4
Univariate and multivariate analysis of disease-free survival
Risk factors
Univariate analysis
Multivariate analysis
HR (95% CI)
P value
HR (95% CI)
P value
Age (older/ younger)
1.405 (1.083-1.823)
0.011*
1.425 (1.098-1.850)
0.008*
Sex (male/female)
0.877 (0.764-1.006)
0.062
  
BMI (>/≤22.6 kg/m2)
0.889 (0.777-1.017)
0.086
  
Hypertension (yes/no)
1.064 (0.914-1.239)
0.424
  
T2DM (yes/no)
1.117 (0.913-1.367)
0.281
  
Tumor site (colon/ rectum)
1.113 (0.973-1.273)
0.118
  
Tumor stage (IV/III/II/I)
2.090 (1.911-2.285)
<0.001*
2.100 (1.921-2.295)
<0.001*
Smoking (yes/no)
1.114 (0.972-1.276)
0.122
  
Drinking (yes/no)
1.115 (0.966-1.286)
0.137
  
CHD (yes/no)
1.263 (0.916-1.742)
0.155
  
Overall complications (yes/no)
1.644 (1.425-1.897)
<0.001*
1.504 (1.293-1.750)
<0.001*
Major complications (yes/no)
2.451 (1.809-3.319)
<0.001*
2.015 (1.461-2.776)
<0.001*
Note: *P-value <0.05
Abbreviations: HR Hazard ratio; CI confidence interval; BMI body mass index; T2DM type 2 diabetes mellitus; CHD coronary heart disease

The effect of younger aged group and older aged group on different tumor stages

Before PSM, younger aged group had better OS than older aged group in terms of stage II (p<0.001), stage III (p<0.001) and stage IV (p<0.001) CRC (Fig 2). Younger aged group had better DFS than older aged group in terms of stage II (p=0.010), stage III (p=0.010) and stage IV (p=0.010) CRC as well (Fig 3).
After PSM, younger aged group had better OS than older aged group in terms of stage II (p<0.001) and stage IV (p=0.028) CRC. (Fig 4) Younger aged group had better DFS than older aged group in terms of stage II (p=0.016) CRC (Fig 5).

Discussion

A total of 4599 patients were included in this study and there were 4196 patients in older aged group and 403 patients in younger aged group. After 1:1 ratio PSM, there were 401 patients in each group. No significant difference was found in terms of baseline information after PSM. Younger aged group had larger retrieved lymph nodes before and after PSM. In multivariate analysis, younger age was an independent predictor of better OS and DFS. In terms of different tumor stages after PSM, younger aged group had better OS than older aged group in stage II and stage IV CRC, and younger aged group had better DFS than older aged group in stage II CRC.
The impact of age on the prognosis of CRC was still controversial [811], Zhao L [9]. et al reported a poor prognosis for CRC in younger patients, but Yang Z [15]. et al reported that the prognosis of younger patients was similar to that of older patients. However, another study reported a better prognosis for younger patients [8]. We summarized the previous studies which reported the age on the outcomes of CRC patients in Table 5 [812, 1518]. As was shown in the table, OS, DFS, CSS (cancer-specific survival) and short-term outcomes were the main indicators. Moreover, short-term outcomes were reported in two studies, which were relatively small [12, 17]. Furthermore, no previous studies reported the age on the survival outcomes of specific tumor stages. PSM analysis was method to reduce the selection bias of the baseline information, which could benefit precise results when there was no difference in baseline information [19, 20]. Therefore, the current study aimed to explore the specific impact of age on CRC including short-term outcomes, OS and DFS in different tumor stages using PSM.
Table 5
Previous studies reporting the age on the outcomes of CRC patients
Author
Year
Country
Sample size
Cut-off age (years)
Younger group
Older group
Patients
Outcomes
Nakayama Y [8]
2020
Japan
5602
40
359
5243
Stage II-III CRC
OS, DFS
Zhao L [9]
2017
China
995
35
68
927
Stage I-III CRC
OS, DFS, CSS
Fu JF [10]
2013
China
1335
30
42
1239
Stage I-IV CRC
OS
Shida D[11]
2018
Canada
861
40
66
795
Stage IV CRC
OS
Wang L [12]
2020
Japan
3095
45
139
2956
Stage I-III CRC
DFS, CSS, Short-term outcomes (Using PSM)
Yang Z [15]
2012
Japan
3156
45
530
2626
Stage I-IV CRC
OS, DFS, CSS
Quah HM [16]
2007
USA
1327
40
68
1259
Stage I-III CC
OS, CSS
Schellerer VS [17]
2012
Germany
1962
50
244
1718
Stage I-IV CRC
OS, CSS, Short-term outcomes
Wong SW [18]
2021
Malaysia
2127
50
206
1921
Stage I-IV CRC
OS, CSS
Abbreviations: CRC colorectal cancer; CC colon cancer; OS overall survival; DFS disease-free survival; CSS cancer-specific survival; PSM propensity score matching
However, the cut-off age of younger CRC patients was different in previous studies, and the cut-off age included 30, 35, 40, 45 and 50 years old [812, 1518]. In this study, we used 45 years old as the cut-off of younger and older CRC patients, which was according to the recommended screening age and previous studies [6, 8, 12, 15]. In addition, PSM was used in this study to analyze the different outcomes between younger aged group and older aged group.
There were many factors that could affect the prognosis of CRC patients including tumor stage, BMI, T2DM, age and complications [3, 2124]. In this study, tumor stage and complications were independent predictors of CRC patients which was similar with previous studies [3, 21, 22]. In addition, younger aged patients were associated with better prognosis than older aged patients, which meant that after radical CRC surgery, age was an important factor affecting the prognosis. Therefore, in order to explore the effect of age on each specific tumor stage, Kaplan-Meier was used and we found that younger aged group had better OS than older aged group in stage II and stage IV CRC, and younger aged group had better DFS than older aged group in stage II CRC. The mechanism was unclear, and it was found in a previous study that younger patients had better prognosis in stage III CRC [12], so more researches are needed on specific tumor stage in the future.
In addition to prognosis, previous studies rarely reported age on short-term outcomes. Only one study reported the shot-term outcomes of after CRC surgery [12]. Wang L [12]. et al reported that there was no difference between younger aged group and older aged group, however, the information of retrieved lymph nodes was missing and they failed to match the baseline information. In this study, younger CRC patients had more retrieved lymph nodes than older CRC patients. The possible reasons might be as follows: First, younger CRC patients might have better anatomy, which was more convenient to harvest lymph nodes; Second, surgeons might be more inclined to operate on younger CRC patients with a larger range. Furthermore, less retrieved lymph nodes might contribute to poor prognosis in older CRC patients [2527].
To our knowledge, this study analyzed the short-term outcomes of younger and older CRC patients with the largest amount of data and compared the retrieved lymph nodes between younger and older CRC patients for the first time. Furthermore, PSM was used, OS and DFS were compared for specific tumor stage. However, some limitations exited in this study. First, this was a retrospective single center study; Second the follow-up time was relatively short; Third, the definition of younger age was not the same in previous studies, we chose the cut-off of 45 years old based on the recommended CRC screening age and published studies. Thus, multi-center prospective randomized controlled trials with comprehensive perioperative information should be performed in the future.
In conclusion, younger CRC patients had larger retrieved lymph nodes and better prognosis than older CRC patients after primary CRC surgery.

Acknowledgments

We acknowledge all the authors whose publications are referred in our article.

Declarations

Ethics approval and informed consent

The study was approved by the ethics committee of our institution (The First Affiliated Hospital of Chongqing Medical University, 2021-517), and all patients signed informed consent. This study was conducted in accordance with the World Medical Association Declaration of Helsinki as well.
Not applicable.

Competing interests

The authors declare no conflicts of interest.
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Literatur
19.
Zurück zum Zitat Rubin DB, Thomas N. Matching using estimated propensity scores: relating theory to practice. Biometrics. 1996;52(1):249–64.CrossRef Rubin DB, Thomas N. Matching using estimated propensity scores: relating theory to practice. Biometrics. 1996;52(1):249–64.CrossRef
Metadaten
Titel
The short-term and oncologic outcomes of younger VS older colorectal cancer patients undergoing primary surgery: a propensity score matching analysis
verfasst von
Xiao-Yu Liu
Bing Kang
Yu-Xi Cheng
Chao Yuan
Wei Tao
Bin Zhang
Zheng-Qiang Wei
Dong Peng
Publikationsdatum
01.12.2022
Verlag
BioMed Central
Erschienen in
BMC Cancer / Ausgabe 1/2022
Elektronische ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-022-09246-4

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