Evaluating prognostic significance of preoperative C-reactive protein to albumin ratio in older patients with pathological stage II or III colorectal cancer

Koji Numata; Yukari Ono; Mihwa Ju; Shizune Onuma; Ayano Tanaka; Taichi Kawabe; Sho Sawazaki; Akio Higuchi; Kazuki Yamanaka; Shinsuke Hatori; Hiroyuki Saeki; Hiroshi Matsukawa; Yasushi Rino; Kazuyuki Tani

doi:10.3393/ac.2022.00367.0052

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Original Article Colorectal cancer Evaluating prognostic significance of preoperative C-reactive protein to albumin ratio in older patients with pathological stage II or III colorectal cancer: Koji Numata¹, Yukari Ono¹, Mihwa Ju¹, Shizune Onuma¹, Ayano Tanaka¹, Taichi Kawabe¹, Sho Sawazaki¹, Akio Higuchi², Kazuki Yamanaka¹, Shinsuke Hatori¹, Hiroyuki Saeki², Hiroshi Matsukawa², Yasushi Rino³, Kazuyuki Tani¹; Annals of Coloproctology 2024;40(2):161-168.
DOI: https://doi.org/10.3393/ac.2022.00367.0052
Published online: October 11, 2022

¹Department of Surgery, Hiratsuka Kyosai Hospital, Hiratsuka, Japan

²Department of Surgery, Yokohama Minami Kyosai Hospital, Yokohama, Japan

³Department of Surgery, Yokohama City University, Yokohama, Japan

Correspondence to: Koji Numata, MD, PhD Department of Surgery, Hiratsuka Kyosai Hospital, 9-11 Oiwake, Hiratsuka 254-8502, Japan Email: koji-numata@hotmail.co.jp

• Received: May 27, 2022 • Revised: June 19, 2022 • Accepted: June 23, 2022

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract
INTRODUCTION
METHODS
RESULTS
DISCUSSION
ARTICLE INFORMATION
REFERENCES

Abstract

Purpose
This study was performed to evaluate the prognostic value of preoperative C-reactive protein to albumin ratio (CAR) in older patients with colorectal cancer (CRC) undergoing curative resection.
Methods
We retrospectively analyzed 244 older patients (aged 75 years or higher) with pathological stage II or III CRC who underwent curative surgery between 2008 and 2016. The optimal value of CAR was calculated and its correlation with the clinicopathological factors and prognosis was examined.
Results
The optimal cutoff value of the CAR was 0.085. High preoperative CAR was significantly associated with high carcinoembryonic antigen levels (P=0.001), larger tumor size (P<0.001), and pT factor (P=0.001). On multivariate analysis, high CAR was independent prognostic factor for relapse-free survival (P=0.042) and overall survival (P=0.001).
Conclusion
Preoperative elevated CAR could be considered as an adverse predictor of both relapse-free survival and overall survival in older patients with CRC undergoing curative surgery.
Keywords: Colorectal neoplasms; Curative surgery; Older patients; C-reactive protein to albumin ratio; Prognosis

INTRODUCTION

Colorectal cancer (CRC) is the third most common cancer worldwide with over 1.8 million new cases in 2020 [1]. Per the latest trends, the populations are getting older in the developed countries, therefore the numbers of older patients with CRC undergoing surgery are increasing. In CRC, surgery remains the most useful curative treatment, although tumor recurrence occurs at a constant rate after the curative resection [2]. However, predicting the outcomes of patients with CRC undergoing curative surgery remains a major challenge. Furthermore, identification of the predictors of recurrence and poor prognosis may lead to better management and treatment, and could improve the outcomes of such patients.

There is a large body of evidence that suggests chronic inflammation plays an important role in carcinogenesis, malignant progression of tumors, and recurrence of cancer. Systemic inflammatory scoring systems, such as the modified Glasgow Prognostic Score (mGPS), neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and lymphocyte to monocyte ratio have been reported as useful predictors of survival in patients with various solid tumors [3–6]. Recently, the C-reactive protein (CRP) to albumin ratio (CAR) has demonstrated prognostic utility in patients with several types of cancer, including CRC [7]. The CAR is a simple scoring system that is based on serum CRP and albumin levels. CRP is an acute-phase protein synthesized in the liver on activation of tumor necrosis factor α (TNF-α) and interleukin 6 (IL-6) , and several studies have shown the association of elevated serum CRP levels with poor prognosis in various cancers, including CRC [8, 9]. However, whether CAR is associated with outcomes in older patients CRC has not yet been elucidated. The aim of this study was, therefore, to examine the predictive and prognostic value of the preoperative CAR in older patients with CRC undergoing curative resection.

METHODS

Ethics statement

This study was approved by the Institutional Review Boards of Hiratsuka Kyosai Hospital (No. 2-18) and Yokohama Minami Kyosai Hospital (No. 2-23). Written informed consent was obtained from all patients before surgery. The study protocol conformed to the ethical guidelines of the 2013 Declaration of Helsinki, according to the institutions' human research committees [10].

Patients

A total of 244 older patients (75 years and over, 119 men and 125 women) who underwent curative resection at Hiratsuka Kyosai Hospital and Yokohama Minami Kyosai Hospital in Japan between January 2008 and December 2016 were included in this retrospective study. The inclusion criteria were as follows: (1) 75 years or older; (2) pathological stage (pStage) II or III CRC; (3) underwent R0 resection for CRC as primary treatment; and (4) biochemical profiles, including the serum albumin, and CRP levels were measured within 1 month before the surgery. The pStage I CRC has a low recurrence rate and was considered to be of little importance in the study; thus, patients with stage I CRC were excluded from this study. The exclusion criteria were as follows: (1) emergency operation; (2) synchronous cancer; (3) existence of penetration or perforation; (4) severe liver cirrhosis; and (5) nephrotic syndrome. The CAR was calculated as the ratio of the serum CRP (mg/dL) to the serum albumin (g/dL). Tumor staging was conducted according to the Japanese Classification of Colorectal Carcinoma (9th edition, 2019). The World Health Organization (WHO) defines people aged 65 to 74 years as early-stage older people and those aged 75 years or older as late-stage older people. In recent years, there have been other reports that consider people aged 75 years or over as older people [11]. Therefore, in the present study, patients aged 75 years or over were defined as older individuals.

Adjuvant chemotherapy

For patients with pStage III CRC or high-risk pStage II CRC, adjuvant chemotherapy is recommended. The criteria for high-risk pathological stage II were pT4, poorly differentiated histology, presence of lymphovascular invasion, presence of perineural invasion, bowel obstruction, less than 12 lymph nodes evaluated in the pathology report, or close or indeterminate margins, according to the NCCN guidelines [12]. The following 6 regimens were used as postoperative adjuvant chemotherapy: fluorouracil plus leucovorin (5-FU/LV); capecitabine; uracil-tegafur plus leucovorin (UFT/LV); tegafur/gimeracil/oteracil/potassium (S-1); 5-FU/LV plus oxaliplatin (FOLFOX); and capecitabine plus oxaliplatin (CAPOX).

Postoperative follow-up

Patients who underwent surgery had follow-up visits every 3 months during the first 3 years, and every 6 months over the next 2 years. A physical examination and serum carcinoembryonic antigen (CEA) measurements were performed at each visit. The chest and abdominopelvic computed tomography scans were obtained every 6 months. All patients were regularly followed up with colonoscopy every 1 to 2 years.

Statistical analysis

The optimal cutoff value of the CAR was identified via the receiver operating characteristics (ROC) curve. The significance of association between the CAR and the clinicopathological characteristics were assessed using the Fisher exact test. The cumulative relapse-free survival (RFS) and overall survival (OS) rates were estimated according to the Kaplan-Meier method and compared using the log-rank test. The predictors of outcomes were assessed using univariate and multivariate analyses via Cox proportional hazard models. The significant prognostic factors identified in univariate analysis (P-values of <0.10) were selected for multivariate analysis. P-values were derived from 2-tailed tests. For all statistical tests, the level of significance was set at 0.05 and all statistical analyses were performed using the EZR software program (Saitama Medical Center, Jichi Medical University), a graphical user interface for R ver. 2.13.0 (R Foundation for Statistical Computing) or, more precisely, a modified version of R commander ver. 1.8-4 designed to add statistical functions frequently used in biostatistics [13].

RESULTS

Patients’ characteristics

The baseline clinical characteristics of the patients are shown in Table 1. The median follow-up period was 50.8 months (range, 1.1–137.0 months). Of the 244 patients, 104 (42.6%) had pII-stage disease, and 140 (57.4%) had pIII-stage disease. A total of 57 of the 244 patients (23.4%) displayed tumor recurrence after surgery.

Optimal cutoff value of CAR

The median preoperative CAR was 0.068, with a range of 0.0003 to 3.91. To investigate the cutoff value for the preoperative CAR, we used ROC curve analysis (Fig. 1), and we found the appropriate cutoff value of 0.085 (sensitivity of 65.7%, specificity of 60.3%), based on which the patients were divided into high-CAR group (CAR ≥0.085) and low-CAR group (CAR <0.085).

Association between CAR and clinicopathological characteristics

The associations between CAR and clinicopathological characteristics were assessed and are presented in Table 2. The CAR ranged from 0.0003 to 3.91 (median, 0.068). The present study revealed that high CAR was significantly associated with high CEA levels (P=0.001), a larger tumor size (P<0.001), and advanced pT factor (P=0.001).

Survival analysis and predictors

Patients with high CAR had significantly shorter RFS and OS values than did the patients with low CAR (P=0.015 and P<0.001, respectively, according to the log-rank test) (Fig. 2). Univariate Cox proportional analysis showed CEA level of ≥5.0 ng/mL (P=0.016), high CAR (P=0.002), pT4 (P<0.001), lymph node metastasis (P=0.008), and lymphatic invasion (P=0.001) to be significant factors predicting poor RFS. The multivariate analysis of these variables indicated that high CAR (P=0.042), pT4 (P=0.017), and lymphatic invasion (P=0.020) were independent predictors of poor RFS (Table 3). While analyzing OS, the univariate analysis indicated that CEA level of ≥5.0 ng/mL (P=0.042), high CAR (P<0.001), pT4 (P=0.017), and lymphatic invasion (P=0.005) were significantly correlated with poor OS. The multivariate analysis indicated that high CAR (P=0.001) was the independent predictor of poor OS (Table 4).

DISCUSSION

The present study on older patients with pStage II or III CRC who underwent curative surgery revealed that elevated CAR was related to the factors related to tumor progression such as CEA, tumor size, and pT factor. These results are in accordance with the result of a meta-analysis in CRC [7] that demonstrated elevated CAR to be related to high CEA, and larger tumor size. We also revealed that elevated CAR was significantly associated with shorter RFS and OS, which is consistent with the results of recent studies that showed the prognostic and/or predictive value of the CAR in various types of cancer [14–16]. Additionally, these results are also consistent with studies reporting that elevated CAR was significantly associated with a poor prognosis among CRC patients with inoperable disease and/or those undergoing surgery [7, 17, 18].

In addition, tumor progression causes cachexia and activates cytokines, such as IL-1β, IL-6, and TNF-α that suppress the gene expression of albumin [19]. This results in hypoalbuminemia, and low albumin levels have been associated with poor prognosis in various cancer [20, 21]. Therefore, the CAR can be considered to be a good indicator for assessing the status of both inflammation and nutrition.

Similar to CAR, the mGPS is also based on CRP and albumin, and has been reported to be a useful prognostic marker in various malignant tumors [22–24]. The disadvantage of utilizing an mGPS is that it is considered to be a discontinuous variable; thus, it is not possible to evaluate small differences. Therefore, mGPS may overestimate or underestimate the level of inflammation.

Moreover, since the majority of the patients are classified into mGPS 0 or 1, mGPS could not effectively distinguish the survival differences of most of the patients [25, 26]. Similarly, in this study, approximately 85% of patients were classified with a 0 or 1 score. Hence, we chose CAR rather than mGPS as a prognostic factor in this study.

While the number of articles about CAR has increased recently, there were few studies that investigated the utility of CAR in older patients with malignant tumors. Considering the aging of population in the recent years, it is important to evaluate the impact of inflammation-based prognostic scores in older patients with CRC. In this study, the median CAR level was higher in the older group (Table 1). It has been reported that the levels of inflammatory markers increase with increasing age [27]; therefore, it may be preferable to establish an evaluation method considering adjustment according to age in the future.

What should be done for cases with elevated CAR levels? In these cases, it may be better to perform interventions during the perioperative period to improve prognosis. Our results showed that elevated CAR level was associated with CEA level (≥5 ng/mL), tumor size (≥50 mm), and pT factor (pT4). In these cases, preoperative treatment (chemotherapy and/or radiotherapy) may be useful for lowering tumor marker levels and shrinking tumors. In addition, studies suggested the use of exercise therapy as anti-inflammatory therapy [28, 29]. Additionally, randomized controlled trial [30] and systematic review [31] have suggested that perioperative nutrition therapy, synbiotic treatment, and preoperative immune modulator nutrition reduce postoperative infectious complications. There have been multiple reports that postoperative inflammatory complications worsen prognosis; hence, there is a possibility that improvement in prognosis can be expected by reducing the incidence of postoperative inflammatory complications. In the future, it is desirable to conduct randomized controlled trials in which these nutritional or exercise therapies are administered to patients with a poor preoperative inflammatory status.

There were certain limitations and problems in the current study. First, this was a retrospective study with relatively small sample size. Second, the cutoff point for CAR might be variable based on the sample size, and our cutoff value for CAR was biased because of being selected via ROC curve. Third, potential introducing bias should also be considered because, in some cases, the introduction of adjuvant chemotherapy was not performed because the attending physician did not recommend it. Finally, it is possible that the results may have been different by adding early-stage I cases. Therefore, further large-scale prospective cohorts are warranted and it is important to determine an appropriate cutoff point.

In conclusion, an elevated preoperative CAR appears to be a useful and promising predictor of poor outcomes in older patients with CRC undergoing potentially curative surgery.

ARTICLE INFORMATION

Conflict of interest

No potential conflict of interest relevant to this article was reported.

Funding

None.

Author contributions

Conceptualization: KN; Data curation: KN, SS, AH, SH, HS; Formal analysis: all authors; Visualization: KN; Writing–original draft: KN; Writing–review & editing: all authors. All authors read and approved the final manuscript.

Fig. 1.

Receiver operating characteristic analysis of the C-reactive protein to albumin ratio (CAR) for survival status. Area under the curve of the CAR is 0.65.

Fig. 2.

Kaplan-Meier survival plots compared by the log-rank test. (A) Relapse-free survival (RFS) curves based on the C-reactive protein to albumin ratio (CAR). The 3-year RFS rates of the patients with low CAR (solid line) and high CAR (dotted line) were 85.8% and 66.4%, respectively. (B) Overall survival (OS) curves based on the CAR. The 3-year OS rates of the patients with low CAR (solid line) and high CAR (dotted line) were 87.4% and 71.0%, respectively.

Table 1.

Patients’ characteristics (n=244)

Characteristic	Value
Age (yr)	81 (75–99)
Sex
Male	119 (48.8)
Female	125 (51.2)
Tumor location
Colon	192 (78.7)
Rectum	52 (21.3)
CAR	0.068 (0.0003–3.91)
Median of CAR by age (yr)
75–81	0.055 (0.0003–3.82)
≥82	0.088 (0.002–3.91)
Type of surgery
Partial colectomy	118 (48.4)
Hemicolectomy	62 (25.4)
(Rectum) anterior resection	48 (19.7)
Hartmann	10 (4.1)
Abdominoperineal resection	6 (2.4)
Pathological stage^a)
II	104 (42.6)
III	140 (57.4)
Follow-up (mo)	50.8 (1.1–137.0)
Recurrence
No	187 (76.6)
Yes	57 (23.4)

Values are presented as median (range) or number (%), unless otherwise indicated.

CAR, C-reactive protein to albumin ratio.

^aAccording to the Japanese Classification of Colorectal, Appendiceal, and Anal Carcinoma, 3rd English edition.

Table 2.

Relationship between CAR and clinicopathological variables

Variable	CAR status		P-value
Variable	Low (n=129)	High (n=115)	P-value
Age (yr)			0.120
75–81	74	54
≥82	55	61
Sex			>0.999
Male	63	56
Female	66	59
Tumor location			0.095
Right	55	62
Left	74	53
CEA (ng/mL)			0.001^*
<5	89	55
≥5	40	60
CA19-9 (ng/mL)			0.224
<37	112	93
≥37	17	22
Tumor size (mm)			<0.001^*
<50	82	40
≥50	47	75
pT factor			0.001^*
T1–3	105	72
T4	24	43
Lymph node metastasis			0.900
No	74	67
Yes	55	48
Lymphatic invasion			0.250
No	68	52
Yes	61	63
Venous invasion			0.490
No	23	16
Yes	106	99

CAR, C-reactive protein to albumin ratio; CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9; pT, pathologic T stage.

^*P<0.05.

Table 3.

Univariate and multivariate analysis for predictors of relapse-free survival (n=244)

Variable	No. of patients	Univariate analysis		Multivariate analysis
Variable	No. of patients	HR (95% CI)	P-value	HR (95 CI)	P-value
Age (yr)			0.084		0.190
75–81	128	1 (Reference)		1 (Reference)
≥82	116	1.58 (0.94–2.68)		1.43 (0.84–2.45)
Sex			0.950	-	-
Male	119	1 (Reference)
Female	125	1.02 (0.60–1.71)
Tumor location			0.210	-	-
Colon	192	1 (Reference)
Rectum	52	1.45 (0.81–2.58)
CEA (ng/mL)			0.016^*		0.380
<5	144	1 (Reference)		1 (Reference)
≥5	100	1.90 (1.13–3.21)		1.28 (0.74–2.22)
CA19-9 (ng/mL)			0.220	-	-
<37	205	1 (Reference)
≥37	39	1.49 (0.79–2.81)
CAR			0.002^*		0.042^*
<0.085	129	1 (Reference)		1 (Reference)
≥0.085	115	2.35 (1.37–4.06)		1.79 (1.01–3.18)
Tumor size (mm)			0.480	-	-
<50	122	1 (Reference)
≥50	122	1.21 (0.72–2.03)
pT factor			<0.001^*		0.017^*
T1–3	177	1 (Reference)		1 (Reference)
T4	67	2.57 (1.53–4.33)		1.96 (1.12–3.42)
Lymph node metastasis			0.008^*		0.530
No	141	1 (Reference)		1 (Reference)
Yes	103	2.03 (1.20–3.43)		1.22 (0.66–2.23)
Lymphatic invasion			0.001^*		0.020^*
No	120	1 (Reference)		1 (Reference)
Yes	124	2.53 (1.44–4.48)		2.14 (1.13–4.07)
Venous invasion			0.660	-	-
No	39	1 (Reference)
Yes	205	1.18 (0.56–2.49)

HR, hazard ratio; CI, confidence interval; CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9; CAR, C-reactive protein to albumin ratio.

^*P<0.05.

Table 4.

Univariate and multivariate analysis for predictors of overall survival (n=244)

Variable	No. of patients	Univariate analysis		Multivariate analysis
Variable	No. of patients	HR (95% CI)	P-value	HR (95% CI)	P-value
Age (yr)			0.130	-	-
75–81	128	1 (Reference)
≥82	116	1.44 (0.90–2.30)
Sex			0.120	-	-
Male	119	1 (Reference)
Female	125	0.69 (0.43–1.11)
Tumor location			0.790	-	-
Colon	192	1 (Reference)
Rectum	52	0.92 (0.51–1.66)
CEA (ng/mL)			0.042^*		0.440
<5	144	1 (Reference)		1 (Reference)
≥5	100	1.63 (1.02–2.60)		1.21 (0.75–1.97)
CA19-9 (ng/mL)			0.110	-	-
<37	205	1 (Reference)
≥37	39	1.60 (0.90–2.83)
CAR			<0.001^*		0.001^*
<0.085	129	1 (Reference)		1 (Reference)
≥0.085	115	2.63 (1.60–4.31)		2.33 (1.39–3.89)
Tumor size (mm)			0.098	-	-
<50	122	1 (Reference)
≥50	122	1.49 (0.93–2.39)
pT factor			0.017^*		0.340
T1–3	177	1 (Reference)		1 (Reference)
T4	67	1.83 (1.11–2.99)		1.29 (0.76–2.16)
Lymph node metastasis			0.064		0.610
No	141	1 (Reference)		1 (Reference)
Yes	103	1.56 (0.97–2.49)		1.15 (0.68–1.93)
Lymphatic invasion			0.005^*		0.060
No	120	1 (Reference)		1 (Reference)
Yes	124	2.02 (1.23–3.31)		1.70 (0.99–2.95)
Venous invasion			0.910	-	-
No	39	1 (Reference)
Yes	205	0.96 (0.52–1.80)

HR, hazard ratio; CI, confidence interval; CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9; CAR, C-reactive protein to albumin ratio.

^*P<0.05.

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Evaluating prognostic significance of preoperative C-reactive protein to albumin ratio in older patients with pathological stage II or III colorectal cancer

Ann Coloproctol. 2024;40(2):161-168. Published online October 11, 2022

DOI: https://doi.org/10.3393/ac.2022.00367.0052

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Evaluating prognostic significance of preoperative C-reactive protein to albumin ratio in older patients with pathological stage II or III colorectal cancer

Fig. 1. Receiver operating characteristic analysis of the C-reactive protein to albumin ratio (CAR) for survival status. Area under the curve of the CAR is 0.65.

Fig. 2. Kaplan-Meier survival plots compared by the log-rank test. (A) Relapse-free survival (RFS) curves based on the C-reactive protein to albumin ratio (CAR). The 3-year RFS rates of the patients with low CAR (solid line) and high CAR (dotted line) were 85.8% and 66.4%, respectively. (B) Overall survival (OS) curves based on the CAR. The 3-year OS rates of the patients with low CAR (solid line) and high CAR (dotted line) were 87.4% and 71.0%, respectively.

Fig. 1.

Fig. 2.

Evaluating prognostic significance of preoperative C-reactive protein to albumin ratio in older patients with pathological stage II or III colorectal cancer

Characteristic	Value
Age (yr)	81 (75–99)
Sex
Male	119 (48.8)
Female	125 (51.2)
Tumor location
Colon	192 (78.7)
Rectum	52 (21.3)
CAR	0.068 (0.0003–3.91)
Median of CAR by age (yr)
75–81	0.055 (0.0003–3.82)
≥82	0.088 (0.002–3.91)
Type of surgery
Partial colectomy	118 (48.4)
Hemicolectomy	62 (25.4)
(Rectum) anterior resection	48 (19.7)
Hartmann	10 (4.1)
Abdominoperineal resection	6 (2.4)
Pathological stage^a)
II	104 (42.6)
III	140 (57.4)
Follow-up (mo)	50.8 (1.1–137.0)
Recurrence
No	187 (76.6)
Yes	57 (23.4)

Variable	CAR status		P-value
Variable	Low (n=129)	High (n=115)	P-value
Age (yr)			0.120
75–81	74	54
≥82	55	61
Sex			>0.999
Male	63	56
Female	66	59
Tumor location			0.095
Right	55	62
Left	74	53
CEA (ng/mL)			0.001^*
<5	89	55
≥5	40	60
CA19-9 (ng/mL)			0.224
<37	112	93
≥37	17	22
Tumor size (mm)			<0.001^*
<50	82	40
≥50	47	75
pT factor			0.001^*
T1–3	105	72
T4	24	43
Lymph node metastasis			0.900
No	74	67
Yes	55	48
Lymphatic invasion			0.250
No	68	52
Yes	61	63
Venous invasion			0.490
No	23	16
Yes	106	99

Variable	No. of patients	Univariate analysis		Multivariate analysis
Variable	No. of patients	HR (95% CI)	P-value	HR (95 CI)	P-value
Age (yr)			0.084		0.190
75–81	128	1 (Reference)		1 (Reference)
≥82	116	1.58 (0.94–2.68)		1.43 (0.84–2.45)
Sex			0.950	-	-
Male	119	1 (Reference)
Female	125	1.02 (0.60–1.71)
Tumor location			0.210	-	-
Colon	192	1 (Reference)
Rectum	52	1.45 (0.81–2.58)
CEA (ng/mL)			0.016^*		0.380
<5	144	1 (Reference)		1 (Reference)
≥5	100	1.90 (1.13–3.21)		1.28 (0.74–2.22)
CA19-9 (ng/mL)			0.220	-	-
<37	205	1 (Reference)
≥37	39	1.49 (0.79–2.81)
CAR			0.002^*		0.042^*
<0.085	129	1 (Reference)		1 (Reference)
≥0.085	115	2.35 (1.37–4.06)		1.79 (1.01–3.18)
Tumor size (mm)			0.480	-	-
<50	122	1 (Reference)
≥50	122	1.21 (0.72–2.03)
pT factor			<0.001^*		0.017^*
T1–3	177	1 (Reference)		1 (Reference)
T4	67	2.57 (1.53–4.33)		1.96 (1.12–3.42)
Lymph node metastasis			0.008^*		0.530
No	141	1 (Reference)		1 (Reference)
Yes	103	2.03 (1.20–3.43)		1.22 (0.66–2.23)
Lymphatic invasion			0.001^*		0.020^*
No	120	1 (Reference)		1 (Reference)
Yes	124	2.53 (1.44–4.48)		2.14 (1.13–4.07)
Venous invasion			0.660	-	-
No	39	1 (Reference)
Yes	205	1.18 (0.56–2.49)

Variable	No. of patients	Univariate analysis		Multivariate analysis
Variable	No. of patients	HR (95% CI)	P-value	HR (95% CI)	P-value
Age (yr)			0.130	-	-
75–81	128	1 (Reference)
≥82	116	1.44 (0.90–2.30)
Sex			0.120	-	-
Male	119	1 (Reference)
Female	125	0.69 (0.43–1.11)
Tumor location			0.790	-	-
Colon	192	1 (Reference)
Rectum	52	0.92 (0.51–1.66)
CEA (ng/mL)			0.042^*		0.440
<5	144	1 (Reference)		1 (Reference)
≥5	100	1.63 (1.02–2.60)		1.21 (0.75–1.97)
CA19-9 (ng/mL)			0.110	-	-
<37	205	1 (Reference)
≥37	39	1.60 (0.90–2.83)
CAR			<0.001^*		0.001^*
<0.085	129	1 (Reference)		1 (Reference)
≥0.085	115	2.63 (1.60–4.31)		2.33 (1.39–3.89)
Tumor size (mm)			0.098	-	-
<50	122	1 (Reference)
≥50	122	1.49 (0.93–2.39)
pT factor			0.017^*		0.340
T1–3	177	1 (Reference)		1 (Reference)
T4	67	1.83 (1.11–2.99)		1.29 (0.76–2.16)
Lymph node metastasis			0.064		0.610
No	141	1 (Reference)		1 (Reference)
Yes	103	1.56 (0.97–2.49)		1.15 (0.68–1.93)
Lymphatic invasion			0.005^*		0.060
No	120	1 (Reference)		1 (Reference)
Yes	124	2.02 (1.23–3.31)		1.70 (0.99–2.95)
Venous invasion			0.910	-	-
No	39	1 (Reference)
Yes	205	0.96 (0.52–1.80)

Table 1. Patients’ characteristics (n=244)

Values are presented as median (range) or number (%), unless otherwise indicated.

CAR, C-reactive protein to albumin ratio.

According to the Japanese Classification of Colorectal, Appendiceal, and Anal Carcinoma, 3rd English edition.

Table 2. Relationship between CAR and clinicopathological variables

CAR, C-reactive protein to albumin ratio; CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9; pT, pathologic T stage.

P<0.05.

Table 3. Univariate and multivariate analysis for predictors of relapse-free survival (n=244)

HR, hazard ratio; CI, confidence interval; CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9; CAR, C-reactive protein to albumin ratio.

P<0.05.

Table 4. Univariate and multivariate analysis for predictors of overall survival (n=244)

HR, hazard ratio; CI, confidence interval; CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9; CAR, C-reactive protein to albumin ratio.