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Journal of Cancer logoLink to Journal of Cancer
. 2021 Mar 5;12(9):2513–2525. doi: 10.7150/jca.52352

Has the increase in the regional nodes evaluated improved survival rates for patients with locoregional colon cancer?

Zhongyi Zhou 1,*, Hong Zhu 2, Wenxue Liu 3,4, Fengbo Tan 1, Qian Pei 1, Lilan Zhao 5, Chenglong Li 1, Dan Wang 1,6, Yuan Zhou 1, Huan Peng 1, Haiping Pei 1,, Yuqiang Li 1,6,
PMCID: PMC8040710  PMID: 33854613

Abstract

Background: The guidelines for colon cancer surgery have been evolving over the past three decades. The advances in colectomy have focused mainly on the number of regional nodes evaluated (RNE).

Methods: Data in this retrospective analysis were extracted from the Surveillance, Epidemiology, and End Results (SEER) linked database.

Results: Rapid growth of RNE (the median rising from 10 (6-16) to 17 (13-23)) occurred from 2000 to 2009. The rate of colon cancer patients with positive lymph nodes following colectomy was greatly decreasing only in the group with RNE greater than 12 after 2000. Patients with T4 and/or N+ cannot obtain survival benefit from the increasing trend of RNE. The apparent survival benefit for T1-3N0 patients may result from augmented false negatives in patients from previous periods.

Conclusions: The golden period of surgical development in colon cancer, using RNE as an alternative indicator, occurred in the first decade of the 21st century. Although a more extensive lymph node evaluation is able to reduce the risk of underestimated staging, the increase of RNE does not provide survival benefits for locoregional colon cancer. A proper reduction in the scope of lymph node dissection may be reasonable in radical surgery for colon cancer.

Keywords: colon cancer, regional nodes evaluated, surgery, surgical evolution, SEER database

Introduction

The standards for colon cancer surgery have been evolving over the past three decades. The guidelines that were developed at the Sydney World Congress of Gastroenterology in 1990 stated that examination of at least 12 lymph nodes can be used as a benchmark to ensure proper resection and appropriate staging 1-3. Extended mesenteric excision for colon cancer was first proposed in 1997 4. In 2002, the American Joint Committee on Cancer (AJCC) established the identification of a minimum of 12 lymph nodes as the standard in colon cancer resection, which served as an impetus to increase the number of lymph nodes obtained and analyzed nationwide 5. Complete mesocolic excision (CME) was initially introduced in 2009 and then widely recognized by colorectal surgeons 6, 7.

Overall, the advances in colectomy mainly involved the number of regional nodes evaluated (RNE). Therefore, several studies have reported that the number of RNE has become a surrogate marker for the evaluation of the quality of surgery for patients with colon cancer 8, 9. What happened as a result of the trend in RNE during the progress of colectomy in the United States? When was the most rapid development period of colon cancer surgery? In addition, do patients with locoregional colon cancer obtain survival benefit from the changing RNE during the rapid development period? There is no final conclusion yet. Exploration of these issues may provide research directions related to colon cancer, or even all tumors, in the future.

Therefore, this study aimed to explore the trend of RNE from 1988 to 2016 in colectomy surgery for locoregional colon cancer and to compare the survival differences due to the evolution of RNE.

Materials and Methods

Patients

Data in this retrospective analysis were extracted from the Surveillance, Epidemiology, and End Results (SEER) linked database. The SEER Program of the National Cancer Institute is an authoritative source of information on cancer incidence and survival in the United States that is updated annually. SEER currently collects and publishes cancer incidence and survival data from population-based cancer registries covering approximately 34.6% of the U.S. population. Our target population were the patients with Stage I-III colorectal adenocarcinoma after colectomy in the period 1988-2016 (n=383,066). Exclusion criteria: (1) without positive histology (n=196); (2) without detailed survival data (including survival months=0, diagnosed at autopsy or death certificate) (n=12,752); (3) without detailed information of regional nodes examined (including RNE=0) or regional nodes positive (n=14,949); (4) T0 (n=18); leading to a sample of 355,151 patients. The target population for survival analysis was limited to patients in the periods of 1999-2000 and 2010-2011. The third edition AJCC staging was adopted in colorectal cancer in 1999-2000; however, the sixth edition of the AJCC staging was applied to for the patients of 2009-2010. Therefore, we re-staged the N stage according to the number of positive lymph nodes. We defined N1 as 1-3 lymph nodes positive and N2 as more than 4 lymph nodes positive. The final study sample contained 56,099 patients (Fig. 1).

Figure 1.

Figure 1

The flow chart. Inclusion criteria: the patients with Stage I-III colorectal adenocarcinoma after colectomy in the period 1988-2016 (n=383,066). Exclusion criteria: (1) without positive histology (n=196); (2) without detailed survival data (including survival months=0, diagnosed at autopsy or death certificate) (n=12,752); (3) without detailed information of regional nodes examined (including RNE=0) or regional nodes positive (n=14,949); (4) T0 (n=18).

Methods

Intergroup comparisons were performed with the Pearson's chi-square test or Mann-Whitney U-test, depending on the nature of the data. Log-rank test was used to compare overall survival (OS) between different groups. A hazard ratio (HR) and a 95% confidence interval (CI) were evaluated by a single factor and a multivariate Cox proportional hazards regression model. The variables with significant differences in univariate analysis were included in the Cox regression model for multivariate analysis. In order to eliminate the influence of other variables, we conducted a propensity score matching (PSM). The nearest neighbor matching with a caliper width of 0.0001 was employed. Statistical analyses were performed with IBM SPSS statistics trial ver. 25.0 (IBM, Armonk, NY, USA). All reported p-values lower than 0.05 were considered significant.

Results

The trends of RNE during 1988 to 2016

Table 1 summarizes the number of cases from 1988 to 2016. There are two platform periods and one growth period displaying the trend of RNE (Fig. 2A). The median number of RNE increased from 9 (5-15) to 10 (6-16) in the first platform period of 1988-2000. The median of RNE also increased by only one (from 17 (13-23) to 18 (14-24)) in the second platform period (from 2009 to 2016). The rapid growth of RNE (the increase in the median from 10 (6-16) to 17 (13-23)) occurred in the period 2000 to 2009, which suggests that the golden period for the development of surgery was in the first decade of the 21st century (Fig. 2A).

Table 1.

The trends of the number of RNE from 1988 to 2016

Year No. of cases No. of stage III cases Rate of stage III No. of cases with RNE ≥12 Rate of cases with RNE ≥12 No. of stage III cases with RNE ≥ 12 Rate of stage III in cases with RNE ≥ 12 RNE
1988 4809 1643 34.17% 1803 37.49% 661 36.66% 9 (5-15)
1989 4820 1616 33.53% 1797 37.28% 654 36.39% 9 (5-15)
1990 5197 1737 33.42% 2031 39.08% 760 37.42% 9 (5-15)
1991 5410 1796 33.20% 2182 40.33% 819 37.53% 9 (5-15)
1992 7168 2441 34.05% 2728 38.06% 1062 38.93% 9 (5-15)
1993 7078 2396 33.85% 2903 41.01% 1080 37.20% 10 (6-15)
1994 7226 2514 34.79% 2894 40.05% 1137 39.29% 10 (6-15)
1995 7253 2604 35.90% 2875 39.64% 1159 40.31% 10 (6-15)
1996 7422 2546 34.30% 3107 41.86% 1219 39.23% 10 (6-16)
1997 7803 2730 34.99% 3371 43.20% 1340 39.75% 10 (6-16)
1998 8224 2796 34.00% 3574 43.46% 1397 39.09% 10 (6-16)
1999 8160 2735 33.52% 3609 44.23% 1352 37.46% 10 (6-16)
2000 16721 5776 34.54% 7247 43.34% 2812 38.80% 10 (6-16)
2001 17275 5895 34.12% 7956 46.05% 3102 38.99% 11 (7-16)
2002 17314 6004 34.68% 8421 48.64% 3330 39.54% 11 (7-17)
2003 17180 5981 34.81% 8711 50.70% 3390 38.92% 12 (7-18)
2004 16833 5816 34.55% 9111 54.13% 3489 38.29% 12 (8-18)
2005 16242 5665 34.88% 9549 58.79% 3650 38.22% 13 (8-19)
2006 16673 5672 34.02% 10738 64.40% 4014 37.38% 14 (9-20)
2007 16783 5922 35.29% 12264 73.07% 4665 38.04% 16 (11-22)
2008 16905 5925 35.05% 13083 77.39% 4810 36.77% 16 (12-22)
2009 16411 5773 35.18% 13341 81.29% 4929 36.95% 17 (13-23)
2010 15749 5514 35.01% 12989 82.48% 4737 36.47% 17 (13-23)
2011 15469 5359 34.64% 12982 83.92% 4762 36.68% 17 (13-23)
2012 15496 5351 34.53% 13296 85.80% 4861 36.56% 17 (13-23)
2013 15261 5385 35.29% 13368 87.60% 4868 36.42% 18 (14-24)
2014 15429 5319 34.47% 13754 89.14% 4880 35.48% 18 (14-24)
2015 15053 5268 35.00% 13518 89.80% 4828 35.72% 18 (14-24)
2016 13787 4767 34.58% 12526 90.85% 4416 35.25% 18 (14-24)

Figure 2.

Figure 2

The trend graph. A) The trend of the number of RNE from 1988-2016. B) The trend of the rate of colon cancer patients with positive lymph nodes (orange line: the proportion of the entire patients with stage III colon cancer; blue line: the rate of colon cancer patients with positive lymph nodes in those with RNE≥ 12).

Increasing RNE did not cause a significant rise in the proportion of patients with stage III colon cancer. In fact, the rate of colon cancer patients with positive lymph nodes had greatly decreased after 2000 when only comparing patients with RNE greater than 12 (Fig. 2B). The obvious changes attracted us to compare survival differences between 1999-2000 with those in 2010-2011, as described in the following section.

Cox regression analysis

In this section, which includes cases with locoregional colon cancer from 1999-2000 and 2010-2011, the focus was on comparing survival differences due to the rising trend of RNE. Table 2 displays the characteristics of the patients in this section. There was significant difference in RNE between the two periods. The Cox regression analysis did not include RNE because it could have interfered with results caused by the changing trend. Meanwhile, the year of diagnosis was used as a variable to replace the trend of RNE. Moreover, the significant variables in the univariate analysis were brought into the multivariate analysis.

Table 2.

The characteristics of colon cancer patients in 1999-2000 and 2010-2011

Characteristics 1999-2000 (n=24881) 2010-2011 (n=31218) p
N % N %
Gender 0.008
Female 13066 52.51% 16042 51.39%
Male 11816 47.49% 15176 48.61%
Age (years) <0.001
≤50 1881 7.56% 3156 10.11%
51-65 5626 22.61% 8865 28.40%
>65 17374 69.83% 19197 61.49%
Marital status 0.017
Married 13359 53.69% 16446 52.68%
Unmarried/NOS 11522 46.31% 14772 47.32%
Race <0.001
White 20768 83.47% 24896 79.75%
Black 2373 9.54% 3652 11.70%
Other/NOS 1740 6.99% 2670 8.55%
Tumor location <0.001
Right colon 14981 60.21% 19385 62.10%
Left colon 9522 38.27% 11332 36.30%
NOS 378 1.52% 501 1.60%
Pathological grade <0.001
I/II 19055 76.58% 24521 78.55%
III/IV 4951 19.90% 5807 18.60%
Unknown 875 3.52% 890 2.85%
Histological type <0.001
Adenocarcinomas 21279 85.52% 27999 89.69%
MCC/SRCC 3602 14.48% 3219 10.31%
T stage <0.001
T1 2952 11.86% 4809 15.40%
T2 3964 15.93% 5258 16.84%
T3 14964 60.14% 17077 54.70%
T4 2949 11.85% 4058 13.00%
Tx 52 0.21% 16 0.05%
N stage 0.001
N0 16370 65.79% 20333 65.13%
N1 5788 23.26% 7074 22.66%
N2 2723 10.94% 3811 12.21%
Chemotherapy 0.002
Yes 6599 26.52% 8645 27.69%
No 18282 73.48% 22573 72.31%
RNE 10 (6-16) 17 (13-23) <0.001

MCC: mucinous cell carcinoma; SRCC: signet ring cell carcinoma; NOS: not otherwise specified.

The total cohort and the four subgroups, including T1-3N0, T4N0, T1-3N+ and T4N+, were analyzed separately for all patients. Table S1 shows the detailed results in the univariable and multivariable Cox regression model of all locoregional colon cancer patients in the two periods. Fig. 3A summarizes the survival differences by the year of diagnosis. Locoregional colon cancer patients from 2010-2011, as an entirety, had better survival than those from 1999-2000. Meanwhile, the subgroup analysis displayed that colon cancer patients with T1-3N0 and TanyN+ from 2010-2011 had superior survival to those from 1999-2000. However, there was no significant difference between the two periods in the colon cancer patients with T4N0.

Figure 3.

Figure 3

The survival differences in multivariate COX regression analysis (2010-2011 vs. 1999-2000). A. The survival differences of the year of diagnosis in all locoregional colon cancer patients. B. The survival differences of the year of diagnosis in locoregional colon cancer patients without chemotherapy.

In order to rule out the impact of the advances in chemotherapy, we further analyzed those patients who did not receive chemotherapy. Table S2 indicates the exhaustive results of the univariable and multivariable Cox regression model for patients without chemotherapy. Similar to the total group results, locoregional colon cancer patients without chemotherapy from 2010-2011 had better survival than those from 1999-2000 in the analysis of this cohort. However, only T1-3N0 patients without chemotherapy can obtain survival benefit from the increased RNE in the subgroup analysis (Fig. 3B).

Propensity score matching

In order to verify the results of the Cox regression analysis, we conducted propensity score matching (PSM) to eliminate the influence of other variables. Table S3 illustrates the characteristics of all the patients with locoregional colon cancer following PSM. The number of RNE, which can reflect the quality of surgery, did not match between the two periods. Differences in survival before PSM were similar to those after PSM in both the total cohort and the subgroups (Figs. 4 and 5). The total cohort received survival benefit from the increased RNE. Colon cancer patients with T1-3N0 and TanyN+ from 1999-2000 suffered a worse survival compared with those from 2010-2011. However, T4N0 colon cancer patients did not obtain survival benefit from the increased RNE either before (p=0.501) or after PSM (p=0.456).

Figure 4.

Figure 4

The survival analysis before PSM in all locoregional colon cancer patients (left: RNE of each patient, all p<0.001; right: survival curve). A. The total cohort. B. T1-3N0. C. T4N0. D. T1-3N+. E. T4N+.

Figure 5.

Figure 5

The survival analysis after PSM in all locoregional colon cancer patients (left: RNE of each patient, all p<0.001; right: survival curve). A. The total cohort. B. T1-3N0. C. T4N0. D. T1-3N+. E. T4N+.

Then we further analyzed the locoregional colon cancer patients without chemotherapy. Table S4 describes the characteristics of the patients without chemotherapy after PSM. The results after PSM were consistent with those before PSM (Figs. 6 and 7). Locoregional colon cancer patients without chemotherapy from 2010-2011 showed a superior survival rate in the total cohort analysis. There were significant survival differences in colon cancer patients with T1-3N0 who did not receive chemotherapy between the two periods (p<0.001 both before and after PSM). However, patients with T4 and/or N+ who missed chemotherapy did not obtain survival benefit from the increasing trend of RNE either before or after PSM.

Figure 6.

Figure 6

The survival analysis before PSM in locoregional colon cancer patients without chemotherapy (left: RNE of each patient, all p<0.001; right: survival curve). A. The total cohort. B. T1-3N0. C. T4N0. D. T1-3N+. E. T4N+.

Figure 7.

Figure 7

The survival analysis before PSM in locoregional colon cancer patients without chemotherapy (left: RNE of each patient, all p<0.001; right: survival curve). A. The total cohort. B. T1-3N0. C. T4N0. D. T1-3N+. E. T4N+.

Further analysis of T1-3N0 patients with RNE greater than 12

We also utilized Cox regression analysis and propensity score matching to explore whether T1-3N0 patients with RNE greater than 12 from 2010-2011 could achieve a winning survival compared to those from 1999-2000. Table 3 displays the characteristics of the T1-3N0 patients with RNE greater than 12 from 1999-2000 and from 2010-2011. The RNE of patients from 2010-2011 was slightly larger than that from 1999-2000 (18 (15-24) vs. 17(14-23), p<0.001). However, the multivariate Cox regression analysis, for both of the entire patient group (p=0.138) and patients without chemotherapy (p=0.091), did not demonstrate significant differences between the two periods (Table S5). Table S6 illustrates the characteristics of the T1-3N0 patients with RNE≥12 after PSM. Survival differences between 1999-2000 and 2010-2011 tapered from significant differences before PSM (both the entire group of patients and patients without chemotherapy: p <0.001) to insignificant after PSM (the entire group of patients: p=0.543; the patients without chemotherapy: p=0.307) (Fig. 8).

Table 3.

The Characteristics of the T1-3N0 patients with RNE greater than 12 in 1999-2000 and 2010-2011

Characteristics 1999-2000 (n=6059) 2010-2011 (n=15059) p
N % N %
Gender 0.027
Female 3253 53.69% 7832 52.01%
Male 2806 46.31% 7227 47.99%
Age (years) <0.001
≤50 527 8.70% 1311 8.71%
51-65 1346 22.21% 4171 27.70%
>65 4186 69.09% 9577 63.60%
Marital status 0.780
Married 3218 53.11% 8030 53.32%
Unmarried/NOS 2841 46.89% 7029 46.68%
Race <0.001
White 5126 84.60% 12279 81.54%
Black 550 9.08% 1666 11.06%
Other/NOS 383 6.32% 1114 7.40%
Tumor location 0.001
Right colon 4233 69.86% 10084 66.96%
Left colon 1725 28.47% 4785 31.78%
NOS 101 1.67% 190 1.26%
Pathological grade <0.001
I/II 4806 79.32% 12632 83.88%
III/IV 1064 17.56% 2005 13.31%
Unknown 189 3.12% 422 2.80%
Histological type <0.001
Adenocarcinomas 5186 85.59% 13680 90.84%
MCC/SRCC 873 14.41% 1379 9.16%
T stage <0.001
T1 713 11.77% 2935 19.49%
T2 1258 20.76% 3514 23.33%
T3 4088 67.47% 8610 57.18%
Chemotherapy <0.001
Yes 858 14.16% 1141 7.58%
No 5201 85.84% 13918 92.42%
RNE 17 (14-23) 18 (15-24) <0.001

MCC: mucinous cell carcinoma; SRCC: signet ring cell carcinoma; NOS: not otherwise specified.

Figure 8.

Figure 8

The survival analysis in T1-3N0 colon cancer patients with RNE≥ 12 (left: RNE of each patient, all p<0.001; right: survival curve). A. T1-3N0 colon cancer patients with RNE≥ 12 before PSM. B. T1-3N0 colon cancer patients with RNE≥ 12 after PSM. C. T1-3N0 colon cancer patients with RNE≥ 12 who did not receive chemotherapy before PSM. D. T1-3N0 colon cancer patients with RNE≥ 12 who did not receive chemotherapy after PSM.

Discussion

This population-based study confirmed one growth period and two platform periods regarding the trend in the number of RNE during colectomy for locoregional colon cancer in the past decades. The rapidly growing RNE revealed that the period from 2000 to 2009 was the golden phase of the development of colon cancer surgery. Previous research has reported that increasing RNE was not able to improve the staging of colon cancer 5. However, this study believes that improvements in colorectal cancer screening and early detection can lead to patients being diagnosed at an earlier stage than in previous years because the proportion of patients with colon cancer with positive lymph nodes showed a downward trend in patients with RNE greater than 12, which allows assessing lymph node staging more accurately 10. Moreover, although several previous studies reported that RNE showed an increasing trend in colectomy, they failed to discuss the impact of this tendency on survival for colon cancer 8, 11-14. Collectively, these changes attracted us to explore the survival differences before and after the golden period of colon cancer surgery. Therefore, this study focused on comparing survival differences between patients from the period 1999-2000, as a baseline, to 2010-2011, which included patients with the most recent 5-year follow-up.

An increasing number of studies, making horizontal comparisons, have reported better survival for patients with more lymph nodes evaluated among those surgically treated for colon cancer 15-17. Our study, longitudinally comparing survival differences associated with greater RNE, seems to support this viewpoint that patients with locoregional colon cancer from 2010-2011 achieved superior survival to those from 1999-2000 in the analysis of the total cohort. However, this conclusion is due to the fact that T1-3N0, representing the vast majority of locoregional colon cancer, masked the situation that locally advanced colon cancer (T4 and/or N +) cannot obtain benefit from increasing RNE. Research without subgroup analysis 8, 18 may come to such erroneous conclusions. Moreover, studies that analyze patients with stage II colon cancer as a whole 19, may also miss the true condition of T4N0 patients. Meanwhile, patients with stage III colon cancer were able to gain survival benefit from the advanced chemotherapy regimen, evolving from 5-FU/leucovorin in the 1999-2000 20 to FOLFOX (oxaliplatin/5-FU/leucovorin) in 2010-2011 9, demonstrated in this study by the significant survival differences that appeared in the overall analysis of stage III but not in those patients who did not receive chemotherapy. An analysis of the SEER database also supported that advancements in chemotherapy were the main contributor to the upswing in the survival of locally advanced colon cancer 9. Unfortunately, patients with T4N0 did not acquire survival benefits from the improved chemotherapy and surgery. Therefore, patients with T4N0, who actually suffered worse survival compared to those with IIIA stage colon cancer 21, should gain more attention in future clinical practice.

In addition, the reason that T1-3N0 patients received survival benefit from the increasing RNE may also be due to higher increased false negatives in patients from 1999 to 2000. A more extensive lymph node evaluation is able to reduce the risk of underestimated staging, in which inadequate assessment may incorrectly identify patients with node-positive disease as node-negative, resulting in failure to identify appropriate treatment. In 1999-2000, the proportion of patients with positive lymph nodes among those with RNE greater than 12 was much larger than that among the overall group. In fact, such a difference gradually decreased after 2000. The proportion of patients with RNE fewer than 12 reached 56.37% in 1999-2000, which may have caused the proportion of patients with lymph node-positive to be greatly underestimated. Furthermore, the additional analysis involving the patients with RNE greater than 12 showed that real T1-3N0 patients from 2010-2011 did not have superior survival compared to those from 1999-2000. Therefore, it is reasonable that the real T1-3N0 patients will not benefit from the advancements of surgery.

Increasing RNE played an important role in accurate assessment of the N stage of colon cancer. However, too much RNE is not able to provide better long-term survival, or even reduce the short-term survival 9. Unfortunately, there is always a constant emphasis on extensive lymph node evaluation during the evolution of colon cancer surgery. However, several scholars have begun to question whether expanding lymph node dissection, including the concept of CME, is better than traditional D2 resection 22. Another controversy about aggressive D3 resection versus imperturbable D2 resection has appeared in the radical operation of gastric cancer. The measurement of surgical risk and survival benefit promoted that D2 resection should be the standard procedure for gastric cancer. The experiences from gastric cancer suggest that properly reducing the scope of lymph node dissection may be reasonable for radical surgery in colon cancer.

Numerous surgeons would rather kill more negative nodes instead of missing even one positive node during the radical surgery for colon cancer, which is one of the reasons why CME surgery has been recognized widely. However, the increasing RNE cannot provide survival benefit to colon patients including those with positive nodes. Can the serious consequences of missing metastatic lymph nodes be compensated for by chemotherapy? The fact that neoadjuvant chemotherapy may lead to the downstaging of a part of colon cancer supports that chemotherapy is capable of killing cancer cells in regional lymph nodes. Meanwhile, combination chemotherapy can improve the pathological complete response rate of colorectal cancer 23, 24. Therefore, advanced chemotherapy, but not advancements in colectomy, can better compensate for the consequences of missing positive lymph nodes. In fact, colon cancer with positive lymph nodes should be regarded as a systemic disease that cannot be cured by surgery alone. Advances in chemotherapy regimens are able to provide a better rationale for properly reducing the scope of lymph node dissection.

Although population-based studies such as this offer increased statistical power and generalizability of results, this study was limited by lack of data on comorbidities and clinical presentation of the patient (i.e. cancer found on screening or due to symptoms). There were several limitations in the SEER database such as unrecorded variables, incomplete data regarding detailed adjuvant therapy, variations in the way of recording data, and migration of patients into and out of SEER registry areas. Furthermore, various studies from different countries have also displayed an increasing number of RNE in colectomy during the first decade of the 21st century 8, 13, 14, which supports the results of the trends of RNE using U.S. data. However, the survival results of other populations need to be further verified by more clinicians from different regions.

Conclusions

The golden period of surgical development in colon cancer, using RNE as an alternative indicator, occurred in the first decade of the 21st century. Although a more extensive lymph node evaluation is able to reduce the risk of underestimated staging, increasing RNE does not provide survival benefits for locoregional colon cancer. A cautious reduction in the scope of lymph node dissection may be reasonable for radical surgery of colon cancer.

Synopsis

This population-based study confirmed one growth period and two platform periods regarding the trend of the number of RNE during colectomy for locoregional colon cancer in the past decades.

Although a more extensive lymph node evaluation is able to reduce the risk of underestimated staging, the increasing RNE cannot provide survival benefits for locoregional colon cancer.

Supplementary Material

Supplementary tables.

Acknowledgments

This study was supported by the Nature Scientific Foundation of China (Grant No. 81702956); the Strategy-Oriented Special Project of Central South University in China (Grant No. ZLXD2017003); the Natural Science Foundation of Hunan Province (Grant No. 2020JJ4903 and 2020JJ5920); The 12th Five-Year Plan of Education Science in Hunan Province (XJKO11BGD032); and The Colorectal cancer medical seed research fund project named “Effect and mechanism of YAP1 on EGFR resistance in K-ras wild-type metastatic colorectal cancer” from the Beijing Bethune Public Welfare Foundation.

The corresponding author, Yuqiang Li, gratefully acknowledges financial support from China Scholarship Council.

Data availability statement

These data were derived from the Surveillance, Epidemiology and End Results (SEER) database (https://seer.cancer.gov/) and identified using the SEER*Stat software (Version 8.3.5) (https://seer.cancer.gov/seerstat/).

Ethics approval

Approval from the ethical board for this study was not required because of the public nature of all the data.

Informed consent

Patients' informed consent was waived because of the retrospective nature of the study design.

Author Contributions

Zhongyi Zhou, Yuqiang Li and Haiping Pei conceived and designed the study. Zhongyi Zhou wrote the article. Lilan Zhao downloaded and screened the data from SEER database. All authors participated in analyzing the data. All authors read and approved the final manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary tables.

Data Availability Statement

These data were derived from the Surveillance, Epidemiology and End Results (SEER) database (https://seer.cancer.gov/) and identified using the SEER*Stat software (Version 8.3.5) (https://seer.cancer.gov/seerstat/).


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