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Lymph Node Yield and Lymph Node Ratio for Prognosis of Long-Term Survival in Gastric Carcinoma

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30 December 2024

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30 December 2024

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Abstract

Background: Lymphadenectomy is fundamental part of surgical strategy in patients with gastric cancer. Lymph node (LN) status is a key point in assessment of prognosis in gastric cancer. The LN ratio (LNR) - number of positive LNs / number of sampled LNs, offers a new approach for predicting survival. The aim of the study was to find factors affecting LN yield and the impact of LNR on 5-year survival. Methods: Prospective multicentre quality assurance study. Only LN-positive patients were included in the LNR calculations. Results: 4946 patients from 149 hospitals were enrolled. The inclusion criteria were met by 1884 patients. Patients were divided into two groups: Group 1 (<16 LN) 456 patients and Group 2 (≥16 LN) 1428 patients. The multivariate analysis found G2 (OR 1.98; 95%CI 1.11-3.54), G3 (OR 2.15; 95%CI 1.212-3.829), UICC-stage II (OR 1.44; 95%CI 1.01-2.06) and III (OR 1.71; 95%CI 1.14-2.57), age <70 (OR 1.818 95%CI 1.19-2.78) and female gender ( OR 1.37; 95%CI 1.00-1.86) as independent factors of ≥16 LN yield. Patients with a LNR≥0.4 have a lower probability of survival (p=0.039 and <0.001) than patients with LNR=0.1. Patients with UICC-II have a lower probability of survival than UICC-I (p=0.023). Age 70-80 (p=0.045) and >80 years (p=0.003) were negative prognostic factors for long-term survival. Conclusion: Long-term survival is directly related to adequate lymphadenectomy. LNR could be superior to pN-stage for estimating survival, and adds remarkable nuances in prognosis compared to UICC-stage. LNR also appears valid, even in the case of insufficient LN yield.

Keywords: 
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1. Introduction

One of the most common forms of cancer is gastric carcinoma, with an estimated 1,033,701 new cases being reported in 2018, ranking No. 6 of all cancers. It is also unfortunately associated with a high mortality rate: a total of 782,685 deaths reported, representing the second leading cause of cancer-related death worldwide [1]. The highest incidence was noted in East Asia with 35.4 per 100,000 in men, compared to Western Europe with 8.8 and 3.3 in Western Africa [2]. It is characterized by a relative 5-year survival of 33% in women and 31% in men, and relative 10-year survival of 30% in women and 28% in men. The median age of diagnosis in Germany in 2018 was 76 years for women and 71 years for men [3].
A fundamental part of surgical strategy is lymphadenectomy. Regional lymph nodes (LN) can be assigned to compartment I (No. 1-6 along the small and large gastric curvature) and compartment II (No. 7-12 and 14). In carcinomas of the cardia, LN located paraoesophageally in the lower mediastinum, in the hiatus and infra- and supradiaphragmatically are assigned to compartment III (No. 19, 20, 110 and 111) [4]. In Western surgery, D1-lymphadenectomy is understood as a dissection of the perigastric LN 1-6 (compartment I), while D2-lymphadenectomy corresponds to an additional dissection of the LN 7-11 (compartment II) along the large arteries of the stomach. An additional lymphadenectomy is designated as D3.
A minimum of 25 regional LN should be removed and examined histopathologically. A classification of pN0 is only possible after the excision and histological examination of at least 16 regional LN [5,6]. A curative treatment for gastric carcinoma includes a R0-resection with a D2-lymphadenectomy [7].
Survival is determined by patient age, depth of invasion, LN involvement, lymph node ratio (LNR), lymphatic vessel invasion, tumour size, type of surgery, Lauren-classification, and location of infiltrated LN [8]. The 5-year survival rate is estimated to be around 50.4%. However, more specifically, it has been found to be 89.3% for pT1, 72.4% pT2, 36.9% pT3 and 23.7% pT4; 75.2% for pN1, 68.8% pN2, 46.7% pN3 and 21.3% pN4 [9]; and 93.2% for UICC-stage I, 72.4% stage II, 39.1% stage III and 5.2% stage IV [10].
LN status seems to be a key point in assessment of prognosis in gastric cancer, although the best method to assess LN involvement remains debatable [11]. The LNR, defined as number of positive LNs divided by the number of sampled LNs, offers a new approach for predicting survival, with higher LNR significantly correlating with lower 5-year survival [12]. LNR-based methods allow more accurate estimation of survival compared to TNM classification alone [13,14]. Indeed, its prognostic importance has already been confirmed for colon and pancreatic cancer [15,16].

2. Materials and Methods

2.1. Patients and Data Collection

Data were collected as part of a prospective multicentre quality assurance study (Institute for Quality Assurance in Operational Medicine at the Otto von Guericke University, Magdeburg, Germany). Participation was voluntary and all participants gave their written informed consent to take part. According to the ethics committee of Otto-von-Guericke University, Magdeburg, no ethical votum was required due to the observational character of the study.
The following inclusion criteria were selected: histologically-confirmed primary gastric carcinoma, documented lymphadenectomy and R0-resection. Exclusion criteria comprised UICC stage 0 and IV or pre-existing infiltration of neighbouring organs; however, invasion of the duodenum or oesophagus alone did not lead to exclusion. Patients who died during the initial hospital stay were excluded.
Only lymph node-positive patients were included in the LNR calculations. The cohort was then divided into two groups based on German guidelines specifying that an excision of at least 16 LN is necessary for an assignment "pN0" [17]. Based on available literature, four cut-off values were chosen: 0.1 (0.01-0.1), 0.2 (0.11-0.02), 0.4 (0.21-0.4) and > 0.4 [12,18,19,20,21,22].

2.2. Statistical Analysis

All data were integrated into Access databases after being checked for plausibility and completeness. The analysis was performed with IBM® SPSS® Statistics, version 24.0.0; Copyright 1989-2016, SPSS Inc..
Continuous variables were described by mean, standard deviation, minimum, lower quartile, median, upper quartile and maximum. Categorical variables were represented by their absolute and relative frequencies, and were compared using the chi-square test. To reject the null hypothesis, a p-value <0.05 was assumed to be statistically significant.
For individual frequencies below 5 and a four-field table, Fisher's exact test was used. Systematic differences between two groups, such as BMI, sex or ASA- classification, were examined with the t-test if the variables were normally distributed, and with the Mann-Whitney U-test if they were not.
Categorical variables with more than two values were compared using analysis of variance, for parametric data, or the Kruskal-Wallis test, for non-parametric data. For normal distribution, the Shapiro-Wilk test was used.
Multivariate logistic regression analysis was performed to predict the relationships between various independent variables and lymph node yield, as the dependent discrete variable . The non-parametric estimates of survival were presented using the distribution-independent Kaplan-Meier curve. All patients who had not died before October 2016 were included in the current survival determination.
Differences were compared in terms of survival using the log-rank test. Median survival and the associated 95% confidence interval were calculated. Survival data were analysed using Cox regression.

3. Results

From January 2007 to December 2012, 4946 patients from 149 hospitals were enrolled and were followed up until October 2016. The inclusion criteria were met by 1884 patients. Participating departments reported on average, 33 (1-217) patients. The median follow-up was 61 months. Of the 1884 patients included, 1118 gave their consent to follow-up; follow-up data were available for 975 patients (87.2%). A mean of 24.4±0.65 LN were resected and 2.6±0.25 were positive. The mean LNR was 0.1068. The patients were divided into two groups for further analysis: Group 1 (<16 LN) comprised 456 patients and Group 2 (16 or more LN) 1428 patients.

3.1. Lymph Node Yield Analysis

A total of 700 women and 1180 men were examined. The mean age was 69.3 (±1.0) years in Group 1 and 66.9 (±0.6) in Group 2 (p<0.001). Mean BMI was 26.4 and did not differ between groups. The most common procedure was total (35.1%) or subtotal (25.9%) gastrectomy, performed in 61% of cases, followed by cardiac resection (7.9%), distal gastrectomy with gastrojejunostomy (7.7%) and transhiatal extended gastrectomy (6.6%). The highest numbers of LN were obtained in transhiatal extended gastrectomy. Systematic lymphadenectomy resulted in a significantly higher lymph node yield (p<0.001) compared with limited resection. On average, one lymph node was affected in Group 1, and more than three in Group 2 (p<0.001). Lymphatic invasion (L1) could be detected in 786 (41.9%) specimens (Group 1 n=160, Group 2 n=626, p<0.001). Venous invasion (V1) could be detected in 212 (12.5%) patients (Group 1 n=46, Group 2 n=166; p=0.737). Details are given in Table 1.
The univariate analysis found the following factors to affect LN yield ≥16 LN: neoadjuvant treatment, grading, pT-stage, pN-stage, lymphatic invasion, venous invasion, UICC-stage, Laurén-classification, localisation at the gastroesophageal junction (p<0.001). and the antral/pyloric region (p=0.030) (Table 2).
The multivariate logistic regression analysis found grading (grade 2 and 3), UICC-stage, age <70 years and sex to be independent factors influencing excision of ≥16 LN (Table 3).

3.2. Long Term Survival Analyses

Age, pT-stage, UICC-stage and LNR were significant prognostic factors for survival (p<0.001). Postoperative survival was found to decrease with increasing age. Median survival was 65.2 months (<70 year group), 54.7 months (70-80 years) and 44.5 months (>80 years) (p<0.001). Survival also decreased with increasing pT-stage. Overall survival was 95.0 months, but only 56.7 months for patients with pT3 and 103.4 months for pT2. No information for stage pT1 can be given, as the probability of survival at the end of the follow-up was over 50%. Five-year survival also decreased with increasing UICC-stage: 75.2% for UICC-I, 65.6% for UICC-II and 30.8% for UICC-III. It also correlated significantly with LNR (p<0.001), even in the first few months: 5-year survival in UICC-III was found to be 58.0% for LNR 0.1, 43.8% for LNR 0.2, 26.3% for LNR 0.4 and 12.2% for LNR >0.4 (Figure 1).
The multivariate analysis found patients with a LNR of 0.4 and >0.4 have a lower probability of survival (p=0.039 and <0.001) compared to patients with a LNR of 0.1. Furthermore, patients with UICC-II gastric cancer have a lower probability of survival than patients with UICC-I (p=0.023). Cox regression also identified age 70-80 years (p=0.045) and over 80 years (p=0.003) as negative prognostic factors for long-term survival (Table 4).

4. Discussion

This study included one of the largest cohorts in any study about LNR to date. The findings indicate that stratification with a 4 LNR cut off was statistically valid. LNR allows better differentiation and more precise prediction of outcomes among LN-positive gastric carcinomas.

4.1. Lymph Node Yield

A strong positive correlation was observed between the number of LNs removed and the number of LNs affected (p<0.001). Similar results were obtained by Huang, who reported a mean number of 23.1±8.6 LN removed per patient [23] and in another Chinese study with 1470 patients, where a mean of 25.8±12.8 LN were removed [24]. Even in patients with LN-negative gastric cancer, survival improved when increased numbers of LN were removed [24]. In a Korean study [25], patients with pT1 tumour, pN0-status and UICC-1 stage demonstrated a significantly worse prognosis when fewer than 16 LN were removed compared to those with 16 or more.
The highest numbers of LN were removed in G3 carcinomas, whereas the LN yield in G1 and G4 was particularly poor. Similar results were obtained in a study from Beijing [26] where most patients were found to have G3 (48.2%) and G2 (22.1%); however, G4 carcinomas were more common (26.2%) than in the present study (2.2%), probably mostly due to our exclusion criteria. Grading was also found to be a significant prognostic factor for LN yield in a univariate analysis from Finland [27]. G4 tumours are often marked by fast growth and early tumour spread; as such, in some cases, intraoperative findings may lead to limited resection, resulting in reduced number of removed LN.
UICC-stage is determined by depth of invasion, LN involvement and metastasis. Interestingly, regarding depth of invasion, the most common classification in the present study was pT3, with 46.1% of examined specimens; this was also found to be the most common form in a study by Chen, with 40.8% [26], and a US study, with 36.4% [21]. Our data indicate that the number of LNs removed increased with the depth of invasion.
The mean age of patients in this study was 66.7 years for men and 69.2 years for women. These were slightly lower than the mean values in the German database from the Robert Koch Institute, listing all gastric cancer patients (71 years for men and 76 years for women) [3]. Age group clearly affected the extent of LN yield, with age 70-80 years having most LN removed. This was also confirmed in a Chinese study, which found older patients to have more advanced and larger tumours [28]. This might explain the difficulties associated with lymphadenectomy in the elderly. Also, older patients have more comorbidities that might require more limited surgery, i.e. shorter operations with a lower risk of complications. Mayol-Oltra et al. [29] report that the presence of comorbidities in older patients lead to fewer LN being removed. This might be the reason for fewer LN being removed in patients aged >80 years in our study.
Fewer LNs tend to be removed from male patients. This may be significant as gastric carcinoma is more common in men. The sex ratio in the present study was 1:1.69 women to men. A similar ratio, i.e. 1:1.65, was noted for 2018 German data from the Robert Koch Institute [3]; however, a study by the Korean Cancer Association found the ratio to fall from 1:1.8 in 2004 to 1:1.5 in 2014 [30]. The numbers of new cases of gastric carcinoma seem to approximate between the sexes.
Neoadjuvant treatment led to a significant increase in harvested LN (p=0.009). In contrast, Li et al. [31] report that preoperative chemoradiotherapy caused a decrease in LN yield (25.5). Chemotherapy alone (31.0) also resulted in a decreased LN yield compared to patients not receiving neoadjuvant treatment (32.0). The extent to which neoadjuvant radiotherapy affects LN excision remains to be investigated, but it has been demonstrated that preoperative radiotherapy can increase the chance of 5-year survival from 19.75% to 30.10%, and 10-year survival from 13.30% to 20.26% (p=0.0094). Radiotherapy also reduced the rate of LN metastases from 84.9% to 64.3% [32]. Other studies [18,33] using neoadjuvant chemotherapy demonstrated an increase of free resection margin and a decrease in the number of local LN metastases; however, neoadjuvant treatment was not assessed in the present study.
The gastric carcinomas demonstrated similar localisations as noted in Chinese studies by Chen et al. [26] and Zhao et al. [34]. Most carcinomas were found in the lower third (antrum/pylorus) followed by the middle third (corpus). Our data indicate that tumour location and LN yield are significantly related. Recent studies indicate that tumours may also occur more frequently in the upper third: one Turkish study [35] found cardia carcinomas to be more common than those in other parts (p=0.004).

4.2. Lymph Node Ratio

The univariate and multivariate analyses found age group, depth of invasion, UICC-stage and LNR to be independent prognostic factors for long-term survival. This has been confirmed in other studies [34,36,37]. LNR and intestinal histological type were found to be independent prognostic factors in a Japanese study [18], and pT-stage, pN-stage and extent of surgery in a Polish study [20]. Son et al. found age ≥60 years, male sex, pT-stage, pN-stage, insufficient number of examined LN and upper tumour localisation to be significant risk factors for survival [25], while age, UICC-stage, resection margin and LNR were indicated as independent prognostic factors in a study from the NYU School of Medicine [19].
While depth of invasion is a component of UICC-stage and can independently predict survival, LNR seems to be better suited to predict survival than pN-stage. LNR appears to effectively predict 5-year survival regardless of cut-off value. It was found to be 63.4% at a cut-off of LNR 0.15, 46.9% at LNR 0.4, and 22.6% at LNR of 0.41-1 in a Chinese study [34]. A meta-analysis of 27 articles comprising 11.441 patients with gastric cancer and radical surgery found higher LNR to be clearly associated with shorter overall survival; however, the studies displayed high heterogeneity [38].
In the present study, the UICC-III patients demonstrated 5-year survival values of 58.0% (LNR 0.01-1), 43.8% (0.11-0.2), 26.3% (0.21-0.4) and 12.2% (0.41-1). LNR allows a more accurate and detailed prognosis estimation for pN-positive gastric cancer patients compared to AJCC/TNM-staging alone [39,40]. In a population-based study by Huang et al. [41] a total of 13 027 patients with IIIA category (8th AJCC) were classified into subgroups rIIB, rIIIA, rIIIB and rIIIC with the help of LNR; the patients demonstrated a similar 5-year overall survival rate to our present cohort, i.e. from 66.7% to 5.1%. Combined TNM and LNR seem also more reliable for prognosis in patients with neoadjuvant treatment compared to TNM-classification alone, as shown in a large population-based study from Chen et al.[14] with 1791 patients.
The distribution of LN involvement in this study roughly corresponds to that observed in an US review comprising 9357 patients. In both cases, the largest group included patients without local LN metastases: 45.1% in the US study compared to 55.5% in this study. Individual pN1-pN3 stages differed by only a few percent between studies (pN1: 19.5% vs. 17.0%; pN2: 16.9% vs. 13.6%; pN3: 18.5% vs. 13.8%) with slightly higher values noted in all groups in the American study [21]. A Chinese study [37] (935 patients) comparing three different LN staging systems in survival prognosis following D2 lymphadenectomy in gastric cancer found LNR to be superior to pN-stage.
Our data indicate a significant positive relationship between the number of positive LNs and the numbers of LN removed (p<0.001). Similar results were found in a Chinese study by Zhao [34], in which 858 patients were classified as free of metastases (pN0), 511 were assigned to pN1, 494 to pN2 and 712 to pN3. It is important to note that care should be taken to completely remove the individual LN compartments; this is particularly important for carcinomas with a low UICC-stage. It was also found that removing higher numbers of LN was also related to improved overall survival [42].
Our data indicate that LNR was a significant prognostic factor for long-term survival. This has also been confirmed in several other studies [12,18,20,21,34,36,37,40,42,43] using a variety of cut-off points ranging from LNR 0 to 0.8. The number of patients in these studies range from 73 to 9357. Our classification with LNR cut-off values of 0.1, 0.2, 0.4 and >0.4 was found to give a precise survival prognosis for patients with 16 or more LN removed and who are lymph node positive.
Interestingly, retrospective data from Sun Yat-sen University Hospital in China [39] (2205 patients) displayed no difference in survival prognosis for patients with ≥16 LN removed (C-index: 0.77) compared to patients with ≤15 LN removed (C-index: 0.75). Also, among patients with ≥UICC-2 stage Son et al.[25] found no difference in overall survival between patients with <16 removed LN and those with 16 or more. As such, it may be that LNR could be a useful indicator, even in the event of insufficient LN harvest.

5. Conclusions

Long-term survival of patients with gastric carcinoma is directly related to adequate lymphadenectomy. LNR is superior to pN-stage for estimating survival, and adds remarkable nuances in prognosis compared to UICC-stage. LNR also appears valid, even in the case of insufficient LN yield. We hence recommend that LNR should be incorporated into staging systems (UICC/AJCC) and into the decision process for adjuvant strategies.

Author Contributions

Conceptualization, Pawel Mroczkowski; Data curation, Martin Schwanz and Ronny Otto; Formal analysis, Martin Schwanz and Ronny Otto; Investigation, Olof Jannasch; Methodology, Martin Schwanz and Ronny Otto; Project administration, Pawel Mroczkowski; Supervision, Pawel Mroczkowski; Writing – original draft, Olof Jannasch and Pawel Mroczkowski; Writing – review & editing, Michal Mik and Hans Lippert.

Funding

This research received no external funding.

Institutional Review Board Statement

According to the ethics committee of Otto-von-Guericke University, Magdeburg, no ethical votum was required due to the observational character of the study.

Informed Consent Statement

Data were collected as part of a prospective multicentre quality assurance study (Institute for Quality Assurance in Operational Medicine at the Otto von Guericke University, Magdeburg, Germany). Participation was voluntary and all participants gave their written informed consent to take part.

Data Availability Statement

The data supporting the findings of this study are not publicly available due to privacy concerns.

Conflicts of Interest

The authors declare no conflicts of interest. Any funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

The following abbreviations are used in this manuscript:
LNR Lymph Node Ratio
TNM Tumor Nodes Metastasis
LN Lymph Node
BMI Body Mass Index
UICC Union for International Cancer Control
AJCC American Joint Committee on Cancer
ASA American Society of Anaesthesiology

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Figure 1. 5-year survival as a function of lymph node ratio.
Figure 1. 5-year survival as a function of lymph node ratio.
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Table 1. Effect of patient and tumour related factors on lymph node yield.
Table 1. Effect of patient and tumour related factors on lymph node yield.
Group 1 (n/%) Group 2 (n/%) p-value*
Sex Male 213 / 68.6 868 / 60.9 <0.001
Female 143 / 31.4 557 / 39.1
ASA-classification ASA I 23 / 5.1 121 / 8.6 < 0.001
ASA II 199 / 44.3 767 / 54.5
ASA III 214 / 47.7 495 / 35.2
ASA IV 13 / 2.9 24 / 1.7
Grading G1 39 / 8.6 59 / 4.1 < 0.001
G2 159 / 34.9 429 / 30.2
G3 228 / 50.1 836 / 58.8
G4 14 / 3.1 27 / 1,9
Surgical approach Laparotomy 430 / 95.2 1411 / 99.1 < 0.001
Laparoscopic 18 / 4.0 7 / 0.5
Neoadjuvant treatment No 363 / 80.3 1054 / 74.3 0.009
Yes 89 / 19.7 365 / 25.7
Localisation gastroesophageal junction 125 / 27.4 280 / 19.6 < 0.001
Fundus 19 / 4.2 45 / 3.2 0.297
Corpus 142 / 31.1 553 / 38.7 0.003
antral/pyloric region 181 / 39.7 601 / 41.5 0.366
Invasion depth pT0 0 / 0.0 2 / 0.1 < 0.001
pT1 200 / 44.0 460 / 32.3
pT2 88 / 25.1 262 / 18.4
pT3 167 / 36.7 699 / 49.1
pN-stage pN0 288 / 63.6 756 / 53.0 < 0.001
pN1 81 / 17.9 239 / 16.8
pN2 52 / 11.5 203 / 14.2
pN3 32 / 7.1 228 / 16.0
UICC-stage I 249 / 54.6 578 / 40.5 < 0.001
II 117 / 25.7 427 / 30.6
III 90 / 19.7 413 / 28.9
*Chi²-Test.
Table 2. Univariate analysis – prognostic factors predicting lymph node yield ≥16.
Table 2. Univariate analysis – prognostic factors predicting lymph node yield ≥16.
LK-Quotient (mean±SD) p-value
Sex male 0.11 ± 0.19 0.132**
female 0.10 ± 019
Age groups <70,70-80, >80 <70 0.11 ± 0.19 0.213*
70-80 0.11 ± 0.19
>80 0.12 ± 0.21
BMI <18.5 0.15 ± 0.23 0.682*
18.5 – 24.9 0.11 ± 0.20
≥ 25 0.10 ± 0.18
Lauren classification none 0.11 ± 0.18 <0.001*
intestinal 0.08 ± 0.16
diffues 0.14 ± 0.23
mixed 0.10 ± 0.17
Localisation fundus 0,12 ± 0.20 0.889**
gastroesophageal junction 0.14 ± 0.20 <0.001**
corpus 0.11 ± 0.20 0.923**
antrum/pylorum 0.10 ± 0.20 0.030**
ASA-classification I 0.10 ± 0.19 0.440*
II 0.11 ± 0.20
III 0.11 ± 0.19
IV 0.05 ± 0.10
Neoadjuvant treatment No 0.10 ± 0.19 <0.001**
yes 0.12 ± 0.19
Surgical approach laparotomy 0.11 ± 0.19 0.548**
laparoscopic 0.07 ± 0.12
Grading G1 0.01 ± 0.07 <0.001*
G2 0.08 ± 0.16
G3 0.13 ± 0.21
G4 0.11 ± 0.18
pT-stage pT0 0.06 ± 0.08 <0.001*
pT1 0.02 ± 0.08
pT2 0.08 ±0.15
pT3 0.17 ± 0.23
pN-stage pN0 0.01 ± 0.03 <0.001*
pN1 0.06 ± 0.05
pN2 0.15 ± 0.07
pN3 0.47 ± 0.22
Lymphinvasion L0 0.03 ± 0.09 <0.001**
L1 0.20 ± 0.23
Venous invasion V0 0,09 ± 0,17 <0.001**
V1 0,24 ± 0,27
UICC-stage I 0.003 ± 0.01 <0.001*
II 0.05 ± 0.10
III 0.31 ± 0.24
*Kruskall-Wallis Test, **Mann-Whitney U-Test.
Table 3. Factors predicting lymph node yield of ≥16 LN - Results of the logistic regression.
Table 3. Factors predicting lymph node yield of ≥16 LN - Results of the logistic regression.
Odds ratio (95% CI) p-value
Grading G1 1
G2 1.982 (1.110-3.541) 0.021
G3 2.154 (1.212-3.829) 0.009
G4 0.739 (0.268-2.036) 0.558
UICC-stage I 1
II 1.441 (1.008-2.060) 0.045
III 1.707 (1.135-2.568) 0.010
Age groups >80 1
<70 1.818 (1.188-2.783) 0.006
70-80 1.358 (0.874-2.109) 0.173
Sex Men 1
Women 1.365 (1.000-1.863) 0.050
Venous invasion No (V0) 1
Yes (V1) 0.647 (0.411-1.016) 0.059
Table 4. Results of Cox regression analysis for 5-year survival.
Table 4. Results of Cox regression analysis for 5-year survival.
Hazard Ratio (95% CI) p-value
Lymph node ratio 0.01-0.1 1
0.11-0.2 1.207 (0.770-1.893) 0.413
0.21-0.4 1.652 (1.027-2.659) 0.039
0.41-1 2.746 (1.740-4.333) <0.001
UICC-stage I 1
II 0.485 (0.260-0.905) 0.023
III 0.849 (0.436-1.654) 0.630
Age groups <70 1
70-80 1,374 (1,008-1,874) 0.045
>80 1,806 (1,225-2.663) 0.003
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