Literature DB >> 31620912

Population-based analysis on predictors for lymph node metastasis in T1 colon cancer.

Xin Xu1, Chihao Zhang1, Xiaochun Ni1, Jugang Wu1, Chunpeng Pan1, Shoulian Wang1, Jiwei Yu2.   

Abstract

BACKGROUND: In this study, we aimed to identify independent predictive factors for lymph node metastasis (LNM) in T1 colon cancer.
METHODS: Data of 8056 eligible patients were retrospectively collected from the Surveillance, Epidemiology, and End Results (SEER) database during 2004-2012. We performed logistic regression analysis to identify predictive factors for LNM. Both unadjusted and adjusted Cox regression analyses were used to determine the association between LNM and patient survival. Finally, we used competing risks analysis and the cumulative incidence function (CIF) to further confirm the prognostic role of LNM in cancer-specific survival (CSS).
RESULTS: The overall risk of LNM in patients with T1 colon cancer was 12.0% (N = 967). Adjusted logistic regression models revealed that mucinous carcinoma [odds ratio (OR) = 2.26, P < 0.001], moderately differentiated (OR 1.74, P < 0.001), poorly differentiated (OR 5.16, P < 0.001), and undifferentiated carcinoma (OR 3.01, P = 0.003); older age (OR 0.66, P < 0.001 for age 65-79 years, OR 0.44, P < 0.001 for age over 80 years); and carcinoma located in the ascending colon (OR 0.77, P = 0.018) and sigmoid colon (OR 1.24, P = 0.014) were independent predictive factors for LNM. Adjusted Cox regression analysis showed that positive lymph node involvement was significantly associated with CSS [hazard ratio (HR) = 3.02, P < 0.001], which was further robustly confirmed using a competing risks model and the CIF.
CONCLUSIONS: This population-based study showed that mucinous carcinoma, tumor grade, age, and primary tumor location were independent predictive factors for LNM in T1 colon cancer. The risk of LNM should be carefully evaluated in patients with T1 colon cancer, before clinical management.

Entities:  

Keywords:  Colon cancer; Independent predictive factors; Lymph node metastasis; SEER database

Mesh:

Year:  2019        PMID: 31620912      PMCID: PMC7395001          DOI: 10.1007/s00464-019-07192-0

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


Colorectal cancer is among the leading causes of cancer-related mortality in both western countries and China [1, 2]. Colorectal cancer is mainly divided into colon cancer and rectal cancer based on primary tumor location, with colon cancer accounting for approximately 70% of colorectal cancers [1, 3]. Early colon cancer refers to carcinoma with invasion limited to the submucosa [4, 5], which can be designated T1NXM0 based on the TNM classification system. T1 colon cancer is heterogeneous in its clinical presence and prognostic outcome [4]. Generally, the long-term survival of patients with stage I colorectal cancer is excellent after radical resection [6]. The risk of lymph node metastasis (LNM) has been reported to range between 8 and 15% [6-8] in T1 colorectal cancer. The probability of lymph node involvement is considered in the clinical management of colon cancer because lymph node status substantially affects patient prognosis [9]. On the one hand, inadequate removal of positive regional lymph nodes would increase local recurrence and cause poor prognosis. On the other hand, extensive surgical resection that is unnecessary would lead to low quality of life and postoperative morbidity. Advanced endoscopic techniques have become established therapeutic approaches in patients with T1 colon cancer who are carefully selected and evaluated [8, 10]. As LNM occurs in approximately 10% of all T1 colorectal cancers [7, 11], unnecessary additional surgical resection might be avoided after initial endoscopic resection and careful evaluation to eliminate any possible risk factors, including LNM. For this proportion of patients, unnecessary surgery would cause anastomotic leakage and bowel dysfunction but would yield no survival benefit [12]. However, for patients with a high risk of LNM, surgical resection is required to decrease the local recurrence rate and subsequently increase survival. Therefore, to establish a proper therapeutic strategy and minimize the local recurrence rate, patients with a high risk of LNM should be identified. To this end, we aimed to determine the predictors for LNM in T1 colon cancer using data of eligible patients from the Surveillance, Epidemiology, and End Results (SEER) database in the present study.

Materials and methods

Data source and patient selection

The National Cancer Institute-based SEER database covers approximately 28% of all cancer cases and includes 18 population-based cancer registries in the USA [13]. SEER is also one of the largest publicly accessible databases globally and is updated annually. In this study, relevant data were retrieved from the SEER database. This study was approved by the institutional ethical review board of Shanghai Ninth People’s Hospital, School of Medicine, Shanghai Jiao Tong University. A total of 8056 eligible patients were enrolled between 2004 and 2012, according to the following inclusion criteria: (1) patients age 18 years or over; (2) a pathological diagnosis of T1 adenocarcinoma or mucinous adenocarcinoma of the colon; (3) at least 12 lymph nodes sampled; and (4) undergoing active follow-up. Patients were eliminated if they had in situ cancer, underwent preoperative radiotherapy, or experienced another primary malignancy. Data on patient demographics (age, sex, year at diagnosis, ethnicity, and marital status) and tumor characteristics [tumor size, histology, carcinoembryonic antigen (CEA) level, tumor grade, primary tumor site, number of resected lymph nodes, and postoperative radiation] were retrieved from the SEER database and subsequently analyzed. Overall survival (OS) was defined as time from the date of diagnosis until death for any reason, or the last follow-up. Cancer-specific survival (CSS) was defined as time from the date of diagnosis until death attributed to colon cancer.

Statistical analysis

Chi-square or Fisher’s exact tests were used to compare categorical variables. An unadjusted logistic regression model, adjusted logistic regression model, and backward logistic regression model were used to identify and confirm risk factors for positive lymph node involvement. Odd ratios (ORs) and 95% confidence intervals (CIs) were determined. A Cox regression model was used to identify independent prognostic factors for OS and CSS. In addition, OS and CSS curves were generated using the Kaplan–Meier method, with a log-rank test to determine statistical significance. Finally, a competing risks model was established and the cumulative incidence function (CIF) was estimated. SPSS version 13.0 (SPSS Inc., Chicago, IL, USA) and R software for Windows version R-3.4.3 (The R Foundation for Statistical Computing, Vienna, Austria) were used for statistical analysis. A two-sided P value < 0.05 was considered to indicate statistical significance.

Results

Baseline characteristics

The patient selection process is shown in Table 1. Of the data of 161,589 patients diagnosed with colon cancer who underwent surgical resection during 2004–2012 from the SEER database, 8056 eligible patients were finally included in the present analysis. A total of 3924 male and 4132 female patients were included. The median number of lymph nodes sampled was 17 [interquartile range (IQR): 14–22]. The overall risk of LNM in patients with T1 colon cancer was 12.0% (N = 967). The median follow-up was 68 months (ranging from 47 to 94 months). At the end of follow-up, 6650 (82.55%) patients were still alive. The cancer-specific mortality rate was 9.41% (N = 91) and 3.26% (N = 231) in patients with and without LNM, respectively. Other detailed clinicopathological information is shown in Table 2.
Table 1

Flowchart of patient selection

Table 2

Clinicopathological characteristics of the selected patients

TotalN = 8056N = 967N0N = 7089P
Tumor size (cm)0.015
 < 11442 (17.9)169 (17.48)1273 (17.96)
 1–1.91736 (21.55)231 (23.89)1505 (21.23)
 2–2.91160 (14.4)137 (14.17)1023 (14.43)
 3+1482 (18.4)200 (20.68)1282 (18.08)
 Not stated2236 (27.76)230 (23.78)2006 (28.3)
Histology< 0.001
 Adenocarcinoma7835 (97.26)920 (95.14)6915 (97.55)
 Mucinous carcinoma221 (2.74)47 (4.86)174 (2.45)
CEA*< 0.001
 Positive457 (5.67)75 (7.76)382 (5.39)
 Negative3123 (38.77)439 (45.4)2684 (37.86)
 Borderline/unknown4476 (55.56)453 (46.85)4023 (56.75)
Grade< 0.001
 Well-differentiated1605 (19.92)116 (12.0)1489 (21)
 Moderately differentiated5054 (62.74)625 (64.63)4429 (62.48)
 Poorly differentiated563 (6.99)162 (16.75)401 (5.66)
 Undifferentiated55 (0.68)10 (1.03)45 (0.63)
 Unknown779 (9.67)54 (5.58)725 (10.23)
Year0.112
 2004–20061680 (20.85)216 (22.34)1464 (20.65)
 2007–20092998 (37.21)331 (34.23)2667 (37.62)
 2010–20123378 (41.93)420 (43.43)2958 (41.73)
Age (years)< 0.001
 Up to 49731 (9.07)114 (11.79)617 (8.7)
 50–643101 (38.49)455 (47.05)2646 (37.33)
 65–793162 (39.25)324 (33.51)2838 (40.03)
 80+1062 (13.18)74 (7.65)988 (13.94)
Gender0.257
 Male3924 (48.71)454 (46.95)3470 (48.95)
 Female4132 (51.29)513 (53.05)3619 (51.05)
Race0.321
 Black988 (12.26)117 (12.1)871 (12.29)
 White6371 (79.08)753 (77.87)5618 (79.25)
 Others647 (8.03)88 (9.1)559 (7.89)
 Unknown50 (0.62)9 (0.93)41 (0.58)
Marital status0.007
 Married4865 (60.39)626 (64.74)4239 (59.8)
 Single/widowed2042 (25.35)228 (23.58)1814 (25.59)
 Other/unknown1149 (14.26)113 (11.69)1036 (14.61)
Primary site< 0.001
 Cecum1781 (22.11)204 (21.1)1577 (22.25)
 Ascending colon1989 (24.69)181 (18.72)1808 (25.5)
 Hepatic flexure399 (4.95)42 (4.34)357 (5.04)
 Transverse colon615 (7.63)61 (6.31)554 (7.81)
 Splenic flexure157 (1.95)13 (1.34)144 (2.03)
 Descending colon410 (5.09)49 (5.07)361 (5.09)
 Sigmoid colon2705 (33.58)417 (43.12)2288 (32.28)

Total lymph nodes

Median (IQR*)

17 (14–22)17 (14–22)17 (14–22)0.375
Radiation< 0.001
 None8043 (99.84)959 (99.17)7084 (99.93)
 Postoperative13 (0.16)8 (0.83)5 (0.07)
Cause of death< 0.001
 Alive6650 (82.55)786 (81.28)5864 (82.72)
 Dead from cancer322 (4.00)91 (9.41)231 (3.26)
 Dead not from cancer1084 (13.46)90 (9.31)994 (14.02)
Follow-up time (months)68 (47–94)66 (45–94)66 (45–94)0.176

*CEA carcinoembryonic antigen, IQR interquartile range

Flowchart of patient selection Clinicopathological characteristics of the selected patients Total lymph nodes Median (IQR*) *CEA carcinoembryonic antigen, IQR interquartile range

Risk factors of lymph node metastasis

Unadjusted and adjusted multivariate logistic regression analyses were used to determine the risk factors for LNM. As a result, mucinous carcinoma, tumor grade, age, and primary tumor location were robustly confirmed as significant predictive factors for LNM (Table 3). Patients with mucinous carcinoma had significantly higher risks of LNM. Compared with patients who had well-differentiated colon cancer, those with moderately differentiated, poorly differentiated, and even undifferentiated carcinoma were at higher risk of LNM. In terms of age, a decreasing LNM risk was detected in older patients (age 65–79 years and age over 80 years). Of note, carcinoma located in the ascending colon and sigmoid colon was significantly associated with lower LNM risk, as compared with carcinoma located in the cecum.
Table 3

Logistic regression analysis of the risk factors for lymph node metastasis in T1 colon cancer

Unadjusted logistic regressionAdjusted logistic regressionAdjusted selection from adjusted logistic regression
OR* (95% CI*)POR (95% CI)POR (95% CI)P
Tumor size (cm)
 < 1Reference
 1–1.91.16 (0.94–1.43)0.180
 2–2.91.01 (0.79–1.28)0.943
 3+1.18 (0.94–1.46)0.149
 Not stated0.86 (0.70–1.07)0.173
Histology
 AdenocarcinomaReferenceReferenceReference
 Mucinous carcinoma2.03 (1.45–2.80)< 0.0012.26 (1.61–3.21)< 0.0012.30 (1.61–3.21)< 0.001
CEA*
 PositiveReferenceReferenceReference
 Negative0.83 (0.64–1.10)0.1810.76 (0.58–0.99)0.0470.76 (0.58–1.00)0.047
 Borderline/unknown0.57 (0.44–0.75)< 0.0010.56 (0.43–0.74)< 0.0010.56 (0.43–0.74)< 0.001
Grade
 Well-differentiatedReferenceReferenceReference
 Moderately differentiated1.81 (1.48–2.24)< 0.0011.74 (1.42–2.15)< 0.0011.74 (1.42–2.15)< 0.001
 Poorly differentiated5.19 (3.99–6.75)< 0.0015.16 (3.96–6.75)< 0.0015.16 (3.96–6.75)< 0.001
 Undifferentiated2.85 (1.33–5.58)0.0043.01 (1.39–5.97)0.0033.01 (1.39–5.97)0.003
 Unknown0.96 (0.68–1.33)0.7930.56 (0.64–1.26)0.5710.91 (0.64–1.26)0.571
Year
 2004–2006Reference
 2007–20090.84 (0.70–1.01)0.064
 2010–20120.96 (0.81–1.15)0.669
Age (years)
 Up to 49ReferenceReferenceReference
 50–640.93 (0.75–1.17)0.5280.99 (0.79–1.26)0.9700.99 (0.79–1.26)0.970
 65–790.62 (0.49–0.78)< 0.0010.66 (0.52–0.84)< 0.0010.66 (0.52–0.84)< 0.001
 80+0.41 (0.30–0.55)< 0.0010.44 (0.32–0.60)< 0.0010.44 (0.32–0.60)< 0.001
Gender
 MaleReference
 Female1.08 (0.95–1.24)0.243
Race
 BlackReference
 White0.99 (0.81–1.23)0.983
 Others1.17 (0.87–1.57)0.294
Marital status
 MarriedReferenceReferenceReference
 Single/widowed0.85 (0.72–0.99)0.0500.98 (0.82–1.15)0.7810.98 (0.82–1.15)0.781
 Other/unknown0.74 (0.60–0.91)0.0050.73 (0.59–0.91)0.0050.73 (0.59–0.91)0.005
Primary site
 CecumReferenceReferenceReference
 Ascending colon0.77 (0.63–0.96)0.0170.77 (0.62–0.96)0.0180.77 (0.62–0.96)0.018
 Hepatic flexure0.91 (0.63–1.28)0.5970.91 (0.63–1.29)0.5920.91 (0.63–1.29)0.592
 Transverse colon0.85 (0.62–1.14)0.2960.81 (0.59–1.10)0.1840.81 (0.59–1.10)0.184
 Splenic flexure0.70 (0.37–1.21)0.2290.63 (0.33–1.11)0.1340.63 (0.33–1.11)0.134
 Descending colon1.05 (0.75–1.45)0.7770.92 (0.64–1.28)0.6120.92 (0.64–1.28)0.612
 Sigmoid colon1.41 (1.18–1.69)< 0.0011.26 (1.05–1.53)0.0141.26 (1.05–1.53)0.014

*OR odd ratio, 95% CI 95% confidence intervals, CEA carcinoembryonic antigen

Logistic regression analysis of the risk factors for lymph node metastasis in T1 colon cancer *OR odd ratio, 95% CI 95% confidence intervals, CEA carcinoembryonic antigen

Lymph node metastasis and patient survival

We further evaluated the association between LNM and patient survival. Unadjusted and adjusted multivariate Cox regression models persistently showed that tumor size, CEA level, age, and marital status were significant prognostic factors for OS in patients with T1 colon cancer (Table 4). Similarly, lymph node status, tumor size, CEA level, tumor grade, year at diagnosis, age, and marital status had significant prognostic value for CSS in patients with T1 colon carcinoma (Table 5). Interestingly, positive lymph node involvement was significantly associated with CSS [hazard ratio (HR) = 3.02 (2.34–3.89), P < 0.001 in adjusted analysis] but not with OS [HR = 1.11 (0.95–1.29), P = 0.21 in unadjusted analysis]. To further investigate the prognostic significance of LNM, patients were categorized into two groups according to their lymph node status. Kaplan–Meier curves showed no statistical significance of OS between the two groups (P = 0.21) (Fig. 1A), whereas the CSS rate was significantly lower in the lymph node positive group than that in the lymph node negative group (P < 0.0001) (Fig. 1B).
Table 4

Cox regression analysis of prognostic factors for overall survival in T1 colon cancer

UnadjustedAdjustedVariable selection
HR* (95% CI*)PHR (95% CI)PHR (95% CI)P
N stage
 N0Reference
 N1/N21.11 (0.95–1.29)0.21
Tumor size (cm)
  < 1ReferenceReferenceReference
 1–1.91.16 (0.98–1.39)0.0911.08 (0.91–1.29)0.4051.09 (0.91–1.30)0.348
 2–2.91.41 (1.17–1.69)< 0.0011.21 (1.01–1.46)0.0431.23 (1.02–1.48)0.029
 3+1.45 (1.22–1.73)< 0.0011.29 (1.08–1.53)0.0051.30 (1.09–1.54)0.004
 Not stated0.86 (0.72–1.02)0.0860.93 (0.78–1.11)0.4330.93 (0.78–1.11)0.448
Histology
 AdenocarcinomaReferenceReference
 Mucinous carcinoma1.47 (1.14–1.91)0.0031.12 (0.86–1.46)0.391
CEA*
 PositiveReferenceReferenceReference
 Negative0.40 (0.33–0.48)< 0.0010.50 (0.41–0.60)< 0.0010.49 (0.41–0.60)< 0.001
 Borderline/unknown0.51 (0.43–0.61)< 0.0010.61 (0.51–0.73)< 0.0010.61 (0.51–0.72)< 0.001
Grade
 Well-differentiatedReferenceReference
 Moderately differentiated1.04 (0.91–1.19)0.6001.05 (0.91–1.20)0.502
 Poorly differentiated1.10 (0.88–1.37)0.4221.12 (0.89–1.40)0.340
 Undifferentiated2.31 (1.43–3.72)< 0.0012.02 (1.25–3.26)0.004
 Unknown0.90 (0.73–1.11)0.3201.05 (0.85–1.30)0.666
Year
 2004–2006Reference
 2007–20091.02 (0.90–1.16)0.745
 2010–20120.86 (0.74–1.01)0.063
Age (years)
 Up to 49ReferenceReferenceReference
 50–641.84 (1.25–2.71)0.0021.92 (1.30–2.82)0.0011.91 (1.30–2.82)0.001
 65–795.39 (3.72–7.82)< 0.0015.33 (3.67–7.76)< 0.0015.37 (3.70–7.80)< 0.001
 80+17.44 (12.00–25.36)< 0.00115.68 (10.72–22.91)< 0.00115.82 (10.86–23.04)< 0.001
Gender
 MaleReference
 Female0.99 (0.89–1.10)0.827
Race
 BlackReferenceReferenceReference
 White1.00 (0.85–1.17)0.9540.78 (0.67–0.92)0.0040.78 (0.66–0.92)0.003
 Others0.56 (0.42–0.74)< 0.0010.50 (0.38–0.66)< 0.0010.50 (0.38–0.66)< 0.001
Marital status
 MarriedReferenceReferenceReference
 Single/widowed2.10 (1.88–2.35)< 0.0011.38 (1.23–1.55)< 0.0011.38 (1.23–1.55)< 0.001
 Other/unknown1.05 (0.89–1.25)0.5621.02 (0.86–1.21)0.8231.02 (0.86–1.21)0.839
Primary site
 CecumReferenceReference
 Ascending colon0.99 (0.86–1.13)0.8661.07 (0.93–1.23)0.369
 Hepatic flexure0.87 (0.68–1.11)0.2640.95 (0.73–1.21)0.658
 Transverse colon0.73 (0.58–0.91)0.0060.91 (0.73–1.14)0.405
 Splenic flexure0.72 (0.48–1.07)0.1061.05 (0.70–1.58)0.803
 Descending colon0.64 (0.49–0.85)0.0020.96 (0.73–1.28)0.802
 Sigmoid colon0.58 (0.50–0.67)< 0.0011.01 (0.87–1.17)0.883

*HR hazard ratio, 95% CI 95% confidence intervals, CEA carcinoembryonic antigen

Table 5

Cox regression analysis of prognostic factors for cancer-specific survival in T1 colon cancer

UnadjustedAdjustedVariable selection
HR* (95% CI*)PHR (95% CI)PHR (95% CI)P
N stage
 N0ReferenceReferenceReference
 N1/N22.95 (2.31–3.76)< 0.0013.02 (2.34–3.89)< 0.0013.00 (2.33–3.87)< 0.001
Tumor size (cm)
 < 1ReferenceReferenceReference
 1–1.91.22 (0.84–1.79)0.2961.09 (0.74–1.60)0.6611.09 (0.74–1.60)0.649
 2–2.91.44 (0.97–2.15)0.0731.21 (0.81–1.80)0.3641.21 (0.81–1.80)0.341
 3+1.90 (1.33–2.73)< 0.0011.57 (1.09–2.26)0.0151.57 (1.09–2.26)0.014
 Not stated0.88 (0.60–1.29)0.5040.93 (0.63–1.37)0.7020.93 (0.63–1.37)0.709
Histology
 AdenocarcinomaReferenceReferenceReference
 Mucinous carcinoma2.11 (1.33–3.36)0.0021.45 (0.90–2.33)0.1241.45 (0.90–2.33)0.114
CEA*
 PositiveReferenceReferenceReference
 Negative0.33 (0.23–0.47)< 0.0010.40 (0.28–0.58)< 0.0010.40 (0.28–0.58)< 0.001
 Borderline/unknown0.35 (0.25–0.50)< 0.0010.45 (0.32–0.63)< 0.0010.45 (0.32–0.64)< 0.001
Grade
 Well-differentiatedReferenceReferenceReference
 Moderately differentiated1.06 (0.79–1.42)0.6971.03 (0.77–1.38)0.8341.02 (0.76–1.37)0.874
 Poorly differentiated1.92 (1.29–2.87)0.0011.49 (0.99–2.24)0.0571.48 (0.98–2.23)0.060
 Undifferentiated3.43 (1.48–7.93)0.0043.03 (1.30–7.05)0.0102.99 (1.29–6.96)0.011
 Unknown0.77 (0.48–1.24)0.2850.88 (0.54–1.44)0.6040.88 (0.54–1.43)0.599
Year
 2004–2006ReferenceReferenceReference
 2007–20090.86 (0.66–1.12)0.2740.91 (0.69–1.19)0.4740.91 (0.70–1.19)0.488
 2010–20120.63 (0.46–0.87)0.0040.67 (0.49–0.92)0.0140.68 (0.50–0.93)0.016
Age (years)
 Up to 49ReferenceReferenceReference
 50–640.96 (0.59–1.54)0.8551.07 (0.66–1.74)0.7781.07 (0.66–1.74)0.774
 65–791.58 (0.99–2.50)0.0521.63 (1.02–2.60)0.0401.65 (1.04–2.62)0.033
 80+3.53 (2.19–5.70)< 0.0013.33 (2.03–5.45)< 0.0013.37 (2.08–5.47)< 0.001
Gender
 MaleReference
 Female0.96 (0.77–1.19)0.694
Race
 BlackReference
 White1.00 (0.85–1.17)0.954
 Others0.56 (0.42–0.74)< 0.001
Marital status
 MarriedReferenceReferenceReference
 Single/widowed2.00 (1.58–2.53)< 0.0011.62 (1.27–2.06)< 0.0011.62 (1.27–2.06)< 0.001
 Other/unknown1.02 (0.72–1.46)0.9051.01 (0.70–1.44)0.9711.01 (0.70–1.44)0.967
Primary site
 CecumReferenceReference
 Ascending colon1.02 (0.76–1.37)0.8971.19 (0.88–1.60)0.263
 Hepatic flexure0.82 (0.48–1.41)0.4790.91 (0.53–1.56)0.725
 Transverse colon0.77 (0.48–1.24)0.2841.01 (0.63–1.62)0.982
 Splenic flexure0.13 (0.02–0.96)0.0450.20 (0.03–1.42)0.107
 Descending colon0.73 (0.41–1.29)0.2801.03 (0.58–1.83)0.916
 Sigmoid colon0.73 (0.54–0.98)0.0381.04 (0.76–1.42)0.810

*HR hazard ratio, 95% CI 95% confidence intervals, CEA carcinoembryonic antigen

Fig. 1

Effect of lymph node metastasis on overall survival (A) and cancer-specific survival (B) in T1 colon cancer

Cox regression analysis of prognostic factors for overall survival in T1 colon cancer *HR hazard ratio, 95% CI 95% confidence intervals, CEA carcinoembryonic antigen Cox regression analysis of prognostic factors for cancer-specific survival in T1 colon cancer *HR hazard ratio, 95% CI 95% confidence intervals, CEA carcinoembryonic antigen Effect of lymph node metastasis on overall survival (A) and cancer-specific survival (B) in T1 colon cancer

Competing risk analysis

The prognostic outcomes of cancer patients are influenced by both oncological factors and non-oncological factors. Therefore, cancer patients might die from other causes before cancer-specific death occurs [14]. For accurate determination of the prognostic role of LNM in T1 colon cancer, a competing risks model was used, which directly links the effects of risk factors with cause-specific cumulative incidence of death [15]. As a result, LNM [subdistribution hazard ratio (SHR) = 2.96, P < 0.001], tumor size > 3.0 cm (SHR = 1.50, P = 0.026), negative CEA level (SHR = 0.45, P < 0.001), poorly differentiated (SHR = 1.60, P < 0.031) or undifferentiated (SHR = 2.91, P = 0.022) carcinoma, diagnosis during 2010–2012 (SHR = 0.60, P = 0.001), older age (SHR = 1.61, P = 0.048 for age 65–79 years; SHR = 3.01, P < 0.001 for age over 80 years), white ethnicity (SHR = 0.57, P < 0.001), and single/widowed marital status were all significant prognostic factors for T1 colon cancer (Table 6). In addition, the CIF was used to evaluate the probability of cancer-specific mortality and death from other causes [16]. As shown in Fig. 2, the cancer-specific death rate was significantly higher in patients with LNM (shown as a red curve) than in patients without LNM (shown as a black curve).
Table 6

Competing risks analysis for cancer-specific death

SHR* (95% CI*)P
N stage
 N0Reference
 N1/N22.96 (2.30–3.82)< 0.001
Tumor size (cm)
  < 1Reference
 1–1.91.09 (0.75–1.59)0.670
 2–2.91.17 (0.78–1.74)0.461
 3+1.50 (1.03–2.19)0.026
 Not stated0.93 (0.63–1.37)0.720
Histology
 AdenocarcinomaReference
 Mucinous carcinoma1.46 (0.91–2.36)0.130
CEA*
 PositiveReference
 Negative0.45 (0.31–0.64)< 0.001
 Borderline/unknown0.48 (0.34–0.68)< 0.001
Grade
 Well-differentiatedReference
 Moderately differentiated1.08 (0.80–1.45)0.730
 Poorly differentiated1.60 (1.06–2.42)0.031
 Undifferentiated2.91 (1.19–7.15)0.022
 Unknown0.90 (0.55–1.49)0.601
Year
 2004–2006Reference
 2007–20090.84 (0.65–1.10)0.180
 2010–20120.60 (0.44–0.82)0.001
Age (years)
 Up to 49Reference
 50–641.06 (0.65–1.72)0.841
 65–791.61 (1.00–2.58)0.048
 80+3.01 (1.82–4.98)<0.001
Race
 BlackReference
 White0.57 (0.43–0.76)< 0.001
 Others0.48 (0.28–0.81)0.007
Marital status
 MarriedReference
 Single/widowed1.45 (1.13–1.87)0.003
 Other/unknown0.96 (0.67–1.38)0.860
Primary site
 CecumReference
 Ascending colon1.21 (0.89–1.65)0.230
 Hepatic flexure0.96 (0.56–1.65)0.881
 Transverse colon1.05 (0.66–1.69)0.832
 Splenic flexure0.20 (0.03–1.39)0.102
 Descending colon1.09 (0.61–1.92)0.781
 Sigmoid colon1.12 (0.81–1.55)0.490

*SHR subdistribution hazard ratio, 95% CI 95% confidence intervals, CEA carcinoembryonic antigen

Fig. 2

Cumulative incidence function for cancer-specific death. Black curve indicates cancer-specific death without lymph node metastasis; red curve indicates cancer-specific death with lymph node metastasis in T1 colon cancer (Color figure online)

Competing risks analysis for cancer-specific death *SHR subdistribution hazard ratio, 95% CI 95% confidence intervals, CEA carcinoembryonic antigen Cumulative incidence function for cancer-specific death. Black curve indicates cancer-specific death without lymph node metastasis; red curve indicates cancer-specific death with lymph node metastasis in T1 colon cancer (Color figure online)

Discussion

With great advances in endoscopic techniques, endoscopic resection is advantageous for low-risk submucosal colon cancer, which dramatically decreases postoperative morbidities, increases quality of life, and gives rise to relatively good long-term clinical outcomes comparable to those of radical surgical resection. However, the indications of endoscopic resection in T1 colon cancer should be cautiously managed. In a retrospective study including 428 patients with T1 colorectal cancer [17], the authors indicated that the conventional indications for endoscopic treatment should not be expanded, mainly owing to the risk of LNM. Therefore, accurate identification of the predictors for LNM risk is crucial to distinguishing patients with low risk of LNM who can thus be treated using endoscopic resection, with oncological outcomes comparable to those of radical resection. In this population-based study, we investigated the predictors for LNM in T1 colon cancer. Mucinous carcinoma, tumor grade, age, and primary tumor location were significant predictors for LNM. Mucinous carcinoma is a relatively rare pathological type of colorectal cancer, accounting for approximately 10–15% of all colorectal cancer cases [18]. As a distinct subtype, mucinous carcinoma has been reported to be associated with higher risks of lymph node involvement in stage I and II colorectal cancer [19, 20]. Our population-based analysis consistently revealed that patients with mucinous carcinoma of the colon had a higher risk of LNM. Not surprisingly, tumor grade was significantly predictive for lymph node involvement. Of note, poorly differentiated carcinoma increased LNM risk by more than 5 times, in comparison with well-differentiated carcinoma, in all three logistic regression models. Consistent with previous findings in T1 rectal cancer [21], in the present study, we identified older age as a significant negative predictor for LNM. Compared with patients age up to 49 years, the risk of LNM in patients age 65–79 years and more than 80 years dropped to approximately 0.65 and 0.44, respectively (both P < 0.001). It has been reported that lymph node yield declines with age in patients with colorectal cancer, with mean lymph node yield reduced by 1 for every 7-year increase in age overall [22]. Primary tumor location has long been reported to have an impact on the risk of LNM in colorectal cancer [4, 23]. The LNM risk in T1 rectal carcinoma has been revealed to be as high as 15% [4, 5, 24], dropping to 8% in the left colon and 3% in the right colon [4]. Here, we report similar observations, which suggests that carcinoma of the ascending colon is a significant negative predictor for the risk of LNM, whereas sigmoid colon cancer significantly increases the LNM risk. The differing LNM risks according to different primary tumor locations might be owing to intrinsic genetic differences [4, 25]. Unlike other studies concerning rectal cancer [21], we found that tumor size was not a predictive factor for the risk of LNM in T1 colon cancer. Consistent with our findings, Okabe et al. also demonstrated an insignificant association between tumor size and LNM risk in T1 adenocarcinoma of the colon and rectum [4]. Therefore, it remains controversial whether primary tumor size is a predictive factor for the risk of LNM in T1 colorectal cancer, a question that deserves further investigation. During the patient selection process, patients without an adequate number of resected lymph nodes were excluded. The cutoff value for the number of sampled lymph nodes was set to 12, according to the general consensus that at least 12 lymph nodes are required for accurate pathological judgement [26]. In this population-based analysis, LNM was detected in 12.0% (967 out of 8056) of patients with T1 colon cancer, which was slightly higher than the proportion in other studies [4, 27]. It is feasible that the lymph node positive rate increases with an increased number of sampled lymph nodes. In this study, only patients with more than 12 resected lymph nodes were enrolled, which might give rise to a slightly higher LNM rate in our study. In survival analysis, LNM was a significant prognostic factor for CSS but not for OS. Patients with T1 colon cancer generally have good prognosis. In this study, the cancer-specific death rate and noncancer-specific death rate were 3.26% and 14.02%, respectively, for patients without LNM (Table 2). However, these rates were comparable to those in patients with LNM (9.41% for cancer-specific death and 9.31% for noncancer-specific death). The above observations robustly indicate the importance of lymph node status in determining oncological outcome in T1 colon cancer. Owing to relatively long survival in patients with T1 colon cancer, long-term patient survival is influenced by other noncancer risks. That is to say, a considerable proportion of patients might die from causes other than cancer-related causes [15, 28, 29]. Therefore, to accurately illustrate the prognostic role of lymph node status in T1 colon cancer, we constructed a competing risks model and estimated the CIF. LNM was revealed as a definite risk factor for prognosis in patients with T1 colon cancer. In the present population-based analysis, our conclusions are based on real-world outcomes. With a median follow-up of 68 months among 8056 eligible participants, we report these convincing findings with a high degree of statistical power. Nevertheless, certain limitations must be acknowledged. The limited availability of data from the SEER database is the main drawback. Factors including submucosal invasion depth, tumor budding, and lymphovascular invasion might also affect the likelihood of LNM, which were not assessed in our study. In terms of primary tumor location, ascending colon and sigmoid colon carcinomas are significant predictors for lymph node involvement; however, we failed to reveal any association of the hepatic flexure, transverse colon, splenic flexure, and descending colon with the risk of LNM. The relatively small sample of these tumor locations might be the cause. In conclusion, the overall LNM rate is approximately 12.0% for T1 colon cancer. Mucinous carcinoma, tumor grade, age, and primary tumor location are significant predictors for LNM in patients with T1 colon cancer. Moreover, positive lymph node involvement is a significant prognostic factor for CSS. Thus, careful preoperative assessment of lymph node status is essential in clinical decision making, to achieve better long-term outcomes.
  28 in total

1.  Management of T1 colorectal carcinoma with special reference to criteria for curative endoscopic resection.

Authors:  Koichi Nakadoi; Shinji Tanaka; Hiroyuki Kanao; Motomi Terasaki; Sayaka Takata; Shiro Oka; Shigeto Yoshida; Koji Arihiro; Kazuaki Chayama
Journal:  J Gastroenterol Hepatol       Date:  2012-06       Impact factor: 4.029

2.  Correlations between lymph node metastasis and depth of submucosal invasion in submucosal invasive colorectal carcinoma: a Japanese collaborative study.

Authors:  Kazuaki Kitajima; Takahiro Fujimori; Shigehiko Fujii; Jun Takeda; Yasuo Ohkura; Hitoshi Kawamata; Toshihide Kumamoto; Shingo Ishiguro; Yo Kato; Tadakazu Shimoda; Akinori Iwashita; Yoichi Ajioka; Hidenobu Watanabe; Toshiaki Watanabe; Tetsuichiro Muto; Ko Nagasako
Journal:  J Gastroenterol       Date:  2004-06       Impact factor: 7.527

3.  Mucinous Adenocarcinomas Histotype Can Also be a High-Risk Factor for Stage II Colorectal Cancer Patients.

Authors:  Xiang Hu; Ya-Qi Li; Qing-Guo Li; Yan-Lei Ma; Jun-Jie Peng; Sanjun Cai
Journal:  Cell Physiol Biochem       Date:  2018-05-22

4.  Predictors of Lymph Node Metastasis and Prognosis in pT1 Colorectal Cancer Patients with Signet-Ring Cell and Mucinous Adenocarcinomas.

Authors:  Bao-Rong Song; Chang-Chun Xiao; Zhao-Kun Wu
Journal:  Cell Physiol Biochem       Date:  2017-03-31

5.  Lymph node metastasis in T1 adenocarcinoma of the colon and rectum.

Authors:  Satoshi Okabe; Jinru Shia; Garrett Nash; W Douglas Wong; José G Guillem; Martin R Weiser; Larissa Temple; Kenichi Sugihara; Philip B Paty
Journal:  J Gastrointest Surg       Date:  2004-12       Impact factor: 3.452

Review 6.  Risk of lymph node metastasis in T1 carcinoma of the colon and rectum.

Authors:  Riccardo Nascimbeni; Lawrence J Burgart; Santhat Nivatvongs; Dirk R Larson
Journal:  Dis Colon Rectum       Date:  2002-02       Impact factor: 4.585

7.  Performing Survival Analyses in the Presence of Competing Risks: A Clinical Example in Older Breast Cancer Patients.

Authors:  Nienke A de Glas; Mandy Kiderlen; Jan P Vandenbroucke; Anton J M de Craen; Johanneke E A Portielje; Cornelis J H van de Velde; Gerrit-Jan Liefers; Esther Bastiaannet; Saskia Le Cessie
Journal:  J Natl Cancer Inst       Date:  2015-11-26       Impact factor: 13.506

Review 8.  Advances in the care of patients with mucinous colorectal cancer.

Authors:  Niek Hugen; Gina Brown; Robert Glynne-Jones; Johannes H W de Wilt; Iris D Nagtegaal
Journal:  Nat Rev Clin Oncol       Date:  2015-09-01       Impact factor: 66.675

9.  Cancer statistics in China, 2015.

Authors:  Wanqing Chen; Rongshou Zheng; Peter D Baade; Siwei Zhang; Hongmei Zeng; Freddie Bray; Ahmedin Jemal; Xue Qin Yu; Jie He
Journal:  CA Cancer J Clin       Date:  2016-01-25       Impact factor: 508.702

10.  Lymph node counts and survival rates after resection for colon and rectal cancer.

Authors:  Sandra L Wong
Journal:  Gastrointest Cancer Res       Date:  2009-03
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  10 in total

1.  Development and external validation of a predictive scoring system associated with metastasis of T1-2 colorectal tumors to lymph nodes.

Authors:  Shaobo Mo; Zheng Zhou; Weixing Dai; Wenqiang Xiang; Lingyu Han; Long Zhang; Renjie Wang; Sanjun Cai; Qingguo Li; Guoxiang Cai
Journal:  Clin Transl Med       Date:  2020-01

2.  Association Between Chemotherapy and Survival in T1 Colon Cancer With Lymph Node Metastasis: A Propensity-Score Matched Analysis.

Authors:  Wangxin Yan; Huizhen Zhou; Si Shi; Jixu Lin; Qiangkang Lin
Journal:  Front Oncol       Date:  2021-07-30       Impact factor: 6.244

3.  The Importance of Being "That" Colorectal pT1: A Combined Clinico-Pathological Predictive Score to Improve Nodal Risk Stratification.

Authors:  Alessandro Gambella; Enrico Costantino Falco; Giacomo Benazzo; Simona Osella-Abate; Rebecca Senetta; Isabella Castellano; Luca Bertero; Paola Cassoni
Journal:  Front Med (Lausanne)       Date:  2022-02-14

4.  Three distinct outcomes in patients with colorectal adenocarcinoma and lymphovascular invasion: the good, the bad, and the ugly.

Authors:  Giorgio Bianchi; Alfredo Annicchiarico; Andrea Morini; Lorenzo Pagliai; Pellegrino Crafa; Francesco Leonardi; Paolo Dell'Abate; Renato Costi
Journal:  Int J Colorectal Dis       Date:  2021-08-21       Impact factor: 2.571

5.  Predictors of Lymph Node Metastasis in T1 Colorectal Cancer in Young Patients: Results from a National Cancer Registry.

Authors:  Daryl Ramai; Jameel Singh; Antonio Facciorusso; Saurabh Chandan; Banreet Dhindsa; Amaninder Dhaliwal; Barbara Galassi; Gianluca Tomasello; Michele Ghidini
Journal:  J Clin Med       Date:  2021-11-25       Impact factor: 4.241

6.  Influence of Old Age on Risk of Lymph Node Metastasis and Survival in Patients With T1 Colorectal Cancer: A Population-Based Analysis.

Authors:  Hua Ye; Bin Zheng; Qi Zheng; Ping Chen
Journal:  Front Oncol       Date:  2021-10-13       Impact factor: 6.244

7.  Comparison of Prognosis and Lymph Node Metastasis in T1-Stage Colonic and Rectal Carcinoma: A Retrospective Study.

Authors:  Jun Deng; Shifa Zhou; Zhiwen Wang; Genbo Huang; Jingjun Zeng; Xiujiang Li
Journal:  Int J Gen Med       Date:  2022-04-05

Review 8.  Tumor Location as a Prognostic Factor in T1 Colorectal Cancer.

Authors:  Katsuro Ichimasa; Shin-Ei Kudo; Yuta Kouyama; Kenichi Mochizuki; Yuki Takashina; Masashi Misawa; Yuichi Mori; Takemasa Hayashi; Kunihiko Wakamura; Hideyuki Miyachi
Journal:  J Anus Rectum Colon       Date:  2022-01-28

9.  Risk factors and predictors of lymph nodes metastasis and distant metastasis in newly diagnosed T1 colorectal cancer.

Authors:  Kaibo Guo; Yuqian Feng; Li Yuan; Harpreet S Wasan; Leitao Sun; Minhe Shen; Shanming Ruan
Journal:  Cancer Med       Date:  2020-05-29       Impact factor: 4.452

10.  Predictors of Lymph Node Metastasis in Siewert Type II T1 Adenocarcinoma of the Esophagogastric Junction: A Population-Based Study.

Authors:  Liubo Chen; Kejun Tang; Sihan Wang; Dongdong Chen; Kefeng Ding
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

  10 in total

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