Skip to main content
BMC Cancer logoLink to BMC Cancer
. 2019 Oct 15;19:952. doi: 10.1186/s12885-019-6193-0

Lymph node ratio as valuable predictor in pancreatic cancer treated with R0 resection and adjuvant treatment

Min Su You 1, Sang Hyub Lee 1,, Young Hoon Choi 1, Bang-sup Shin 1, Woo Hyun Paik 1, Ji Kon Ryu 1, Yong-Tae Kim 1, Dong Kee Jang 2, Jun Kyu Lee 2, Wooil Kwon 3, Jin-Young Jang 3, Sun-Whe Kim 3
PMCID: PMC6794802  PMID: 31615457

Abstract

Background

Lymph-node (LN) metastasis is an important prognostic factor in resected pancreatic cancer. In this study, the prognostic value of American Joint Committee on Cancer (AJCC) 8th edition N stage, lymph-node ratio (LNR), and log odds of positive lymph nodes (LODDS) in resected pancreatic cancer was investigated.

Methods

Between January 2005 and December 2017, there were 351 patients with pancreatic cancer treated with R0 resection and adjuvant therapy at Seoul National University Hospital. Relationships between the three LN parameters and overall survival (OS) and recurrence-free survival (RFS) were evaluated using a log-rank test and Cox proportional hazard regression model. Each multivariate-adjusted LN parameter was internally validated by bootstrap-corrected Harrell’s C-index.

Results

The mean duration from surgery to adjuvant therapy was 47.6 ± 17.4 days. In total, the median OS and RFS was 31.7 (95% CI, 27.2-37.2) and 15.4 (95% CI, 13.5-17.7) months. The three LN classification systems were significantly correlated with OS and RFS in log-rank tests and multivariate-adjusted models (all p < 0.05). When internally validated, LNR showed the highest discrimination ability in predicting OS and RFS (each C–index = 0.65). LNR also showed the highest C-index in subgroup analysis, classified by adjuvant therapy modality. LNR and the AJCC 8th edition LN classification system were significantly associated with loco-regional recurrence (p = 0.026 and p = 0.027, respectively).

Conclusions

LNR, which showed the best prognostic performance and significant relationship with loco-regional recurrence, can help further stratify the patients and establish an active treatment plan.

Keywords: Pancreatic cancer, Adjuvant therapy, Lymph nodes, Metastasis, Prognosis

Background

Pancreatic cancer is currently the third greatest cause of cancer-related death and has a five-year survival rate of 8% [1]. Surgical treatment is the only curative method, but less than 20% of the patients can be operated on when diagnosed [2]. Furthermore, the recurrence rate reaches 60-80% even with surgery [3]. The lymph-node (LN) status is an important predictor of recurrence and survival in surgically treated pancreatic cancer, and LN status evaluation is generally based on the American Joint Committee on Cancer (AJCC) classification system. In the AJCC 7th edition, the staging system defined all regional LN metastases as N1. The 8th edition was revised to further evaluate the LN grade based on the number of metastatic nodes [4].

Previous studies have consistently reported that LN metastasis is closely related to prognosis in pancreatic cancer treated with surgery [57]. In addition to the AJCC staging system, lymph-node ratio (LNR) and log odds of positive lymph nodes (LODDS) are also well-known parameters of LN metastasis. Recently, Vicente et al. [6] evaluated the prognostic role of various LN classification systems, including the N stage of the AJCC 7th and 8th editions, LNR, and LODDS in surgically resected pancreatic-cancer patients. Previous studies have shown that the prognostic value of each LN classification system is affected by the resection margin [6, 7]. However, there are limited data about the diverse LN staging systems in terms of pancreatic cancer treated with R0 resection.

Postoperative adjuvant therapy significantly increases survival and is indispensable in patients with pancreatic cancer after surgery [8]. In real clinical practice, there is considerable diversity in the methods of adjuvant therapy, since previous studies have reported the efficacy of various adjuvant chemotherapy and chemoradiation therapy regimens [8]. The most recent clinical trial on adjuvant chemotherapy for pancreatic cancer, the PRODIGE 24/CCTG PA.6 trial, reported a median survival of 54.4 months and a three-year survival rate of 63.4% in patients receiving a modified regimen of oxaliplatin, irinotecan, fluorouracil, and leucovorin (FOLFIRINOX) after curative surgery [9]. Although postoperative adjuvant treatment has become the standard therapy, most of the previous studies have investigated the prognostic value of LN metastasis in surgically treated pancreatic-cancer patients regardless of the adjuvant treatment [57].

In general, the AJCC staging system is widely used for evaluation of LN metastasis. Since there are usually fewer than four LN metastases among most of the patients treated with R0 resection [10, 11], further stratification by various LN classification systems can be helpful. There is still a lack of studies evaluating the several LN classification systems in resected pancreatic cancer. Therefore, this study aims to evaluate the prognostic performance of the various LN staging systems, including the AJCC 8th edition N stage, LNR, and LODDS in patients with pancreatic cancer treated with R0 resection and subsequent adjuvant treatment.

Methods

Study population

From January 2005 to December 2017, 433 patients with pancreatic cancer received adjuvant treatment after R0 resection at Seoul National University Hospital. Range of surgery included pancreaticoduodenectomy, distal pancreatectomy, central pancreatectomy, and total/subtotal pancreatectomy. All patients were confirmed to have pancreatic ductal adenocarcinoma by pathologic examination. After exclusion of 35 patients who had undergone preoperative chemotherapy and/or radiotherapy, and 33 patients with a history of other active tumors within five years, medical records of the remaining 365 patients were reviewed. Excluding another 14 patients who lacked details of pathology and laboratory findings, we enrolled a total of 351 patients (Fig. 1). This study was conducted under the approval of the Institutional Review Board of Seoul National University Hospital, Seoul, Korea (1802-113-924).

Fig. 1.

Fig. 1

Flowchart of patient enrollment. PDAC, pancreatic ductal adenocarcinoma; LN, lymph node

Data collection

Patient demographics, body mass index, Eastern Cooperative Oncology Group (ECOG) performance status, Charlson comorbidity index, and laboratory findings before surgery were investigated. A contrast-enhanced computed tomography (CT) scan was used to evaluate the location, size, and extent of the tumor. All patients underwent adjuvant treatment within four months after the surgery. Type and treatment protocols of adjuvant treatment were chosen after discussion with multidisciplinary clinicians and the patient.

The onset of follow-up was set to the date of surgery. One month after the operation and three months after the initial adjuvant treatment, patients were assessed for recurrence using a contrast-enhanced CT scan. Patients were followed up at three- to six-month intervals in the first two years and then at six- to twelve-month intervals from the third year if there was no evidence of tumor recurrence. In patients with confirmed recurrence after surgery, 18F-fluorodeoxyglucose-positron emission tomography was performed to evaluate distant recurrence in addition to the contrast-enhanced CT scan.

Based on pathologic findings, the total number of dissected lymph nodes and the number of metastatic lymph nodes, tumor location, diameter, histologic differentiation, AJCC 8th edition of TNM stage, resection margin status, lymphovascular invasion, and perineural invasion were evaluated. The LNR was calculated as the number of positive LNs divided by the number of LNs examined and was categorized as 0, 0.01–0.20, 0.21–0.40, and > 0.40 on the basis of previously proposed cut-off values [12]. The LODDS was estimated by log [(number of positive LNs + 0.5)/(total number of LNs examined – number of positive LNs + 0.5)] and divided into four groups according to quartiles.

Outcome measures

Overall survival (OS) was defined from the date of surgery to the date of death from any cause. Data on deaths were collected from the database of the Korean Ministry of the Interior and Safety. Recurrence-free survival (RFS) was defined as time from the curative surgery to the tumor recurrence. Recurrence was confirmed radiologically and/or histologically. Patients who were alive at the last date of follow-up without tumor recurrence and who died without any evidence of tumor recurrence were censored for RFS.

Statistical analysis

Data are presented as prevalence (%) or median with range. Student’s t test was performed to compare continuous variables, and the chi-square test was used to compare categorical data. Survival was analyzed by the Kaplan–Meier method and expressed with median and 95% confidence interval (CI). Survival between groups was compared using a log-rank test and a Cox proportional hazard regression model.

All three LN staging systems were evaluated using the categorical cut-off values, and associations of the LN parameters with OS and RFS were analyzed. The LN parameters were adjusted by age, sex, and several covariates that showed p ≤ 0.2 in univariate Cox proportional hazard regression analysis. With these parameters, a best-fitted multivariate model for each LN classification system was selected using Akaike information criterion (AIC)-based backward selection. The three prognostic models were internally validated by bootstrap-corrected Harrell’s C–index 0.5 (no discrimination) to 1 (perfect discrimination); bootstrapping with 200 resamples was performed [13]. Interactions were evaluated by including cross-product interaction terms in the multivariate regression models. All statistics were evaluated using R version 3.5.0 for Windows (Institute for Statistics and Mathematics, Vienna, Austria; http://www.R-project.org).

Results

Patient characteristics

Baseline clinical and histologic characteristics are shown in Table 1. The mean age of the patients at surgery was 63.3 ± 9.3 years. Tumors were mainly located in the head/uncinate area (64.1%), and pancreaticoduodenectomy was the most commonly implemented procedure (66.1%). The number of examined LNs averaged 18.4 ± 11.7 in the entire cohort, 20.9 ± 12.5 in patients with total/subtotal pancreatectomy, 20.0 ± 12.0 in patients with pancreaticoduodenectomy, and 14.7 ± 10.0 in patients with distal/central pancreatectomy. There was a significant difference in the number of examined LNs between the surgery types. (p = 0.001). All patients were confirmed with microscopic complete resection, and the median follow-up duration after surgery was 31.1 ± 27.3 months.

Table 1.

Clinicopathological characteristics of patients who underwent R0 resection and adjuvant therapy for pancreatic cancer

Variables N = 351
Age 63.3 ± 9.3
Sex
 - Female 148 (42.2%)
 - Male 203 (57.8%)
Body mass index, kg/m2 22.9 ± 2.7
ECOG
 - 0 289 (82.3%)
 - 1 62 (17.7%)
Charlson’s comorbidity index 4.6 ± 1.3
Tumor location
 - Head/uncinate 225 (64.1%)
 - Body 62 (17.7%)
 - Tail 52 (14.8%)
 - Overlapping 12 (3.4%)
Surgery type
 - Pancreaticoduodenectomy 232 (66.1%)
 - Distal pancreatectomy 107 (30.5%)
 - Total 7 (2.0%)
 - Subtotal 4 (1.1%)
 - Central pancreatectomy 1 (0.3%)
Histologic grade
 - Well differentiated 28 (8.0%)
 - Moderately differentiated 289 (82.3%)
 - Poorly differentiated 31 (8.8%)
 - Undifferentiated 3 (0.9%)
pT stage (AJCC 8th)
 - 1a / 1b / 1c 2 (0.6%) / 4 (1.1%) / 61 (17.4%)
 - 2 235 (67.0%)
 - 3 45 (12.8%)
 - 4 4 (1.1%)
Number of examined LNs 18.4 ± 11.7
Number of involved LNs 1.8 ± 2.6
pN stage (AJCC 8th)
 - 0 150 (42.7%)
 - 1 135 (38.5%)
 - 2 66 (18.8%)
LNR 0.1 ± 0.2
LODDS −1.0 ± 0.5
Lymphovascular invasion 158 (45.0%)
Perineural invasion 293 (83.5%)
Preoperative laboratory findings
 - WBC, 103/μL 6.2 ± 1.9
 - Hemoglobin, g/dL 12.9 ± 1.5
 - Platelet, 103/μL 248.0 ± 79.5
 - Albumin, g/dL 4.2 ± 3.4
 - Total bilirubin, mg/dL 2.2 ± 3.5
 - AST, IU/L 43.1 ± 49.0
 - ALT, IU/L 65.7 ± 92.6
 - ALP, IU/L 157.0 ± 162.7
 - CA 19-9, U/mL 642.3 ± 1563.6
 - CEA, ng/mL 21.5 ± 300.0

ECOG Eastern Cooperative Oncology Group, AJCC American Joint Committee on Cancer, LNR lymph-node ratio, LODDS log odds of positive lymph nodes, WBC white blood cell, AST aspartate Aminotransferase, ALT alanine aminotransferase, ALP alkaline phosphatase, CA 19-9 carbohydrate antigen 19-9, CEA carcinoembryonic antigen

Adjuvant treatment regimens

The mean duration from surgery to adjuvant therapy was 47.6 ± 17.4 days. Details of adjuvant treatment are summarized in Additional file 1: Table S1. A total of 263 patients (74.9%) underwent adjuvant concurrent chemoradiation therapy (CCRT). CCRT with induction and/or maintenance chemotherapy was conducted for 199 (56.7%) patients, whereas 64 (18.2%) patients underwent CCRT without additive chemotherapy. The most common chemotherapeutic agent of CCRT was 5-fluorouracil (163/263, 62.0%), followed by gemcitabine (90/263, 34.2%) and capecitabine (10/263, 3.8%). Induction chemotherapy was performed in 60 (17.1%) patients, and all of them received gemcitabine-based chemotherapy. Maintenance chemotherapy was performed for 186 (53.0%) patients, gemcitabine-based chemotherapy for 119 (64.0%) patients, and fluorouracil-based chemotherapy for 67 (36.0%) patients.

Adjuvant treatment with chemotherapy alone was performed for 88 (25.1%) patients; the chemotherapy regimens included gemcitabine-based chemotherapy (63/88, 71.6%), Fluorouracil-based chemotherapy (24/88, 27.3%), and oral tegafur (1/88, 1.1%). Second-line adjuvant therapy was performed for 82 (23.4%) patients; there was gemcitabine-based chemotherapy for 51 (62.2%) patients, fluorouracil-based chemotherapy for 30 (36.6%) patients, and oral tegafur for 1 (1.2%) patient. The median OS of the patients treated with CCRT and chemotherapy alone was 32.1 (95% CI, 27.0-39.2) and 30.5 (95% CI, 26.9-NE) months, respectively. There was no statistical difference between the two groups (p = 0.960). During follow-up, recurrence was confirmed in 222 (63.2%) patients. Palliative chemotherapy was most commonly performed (164/222, 73.9%) after recurrence, followed by best supportive care (21/222, 9.5%), radiotherapy (9/222, 4.1%), and surgical therapy (5/222, 2.3%). A few (23/222, 10.4%) patients were lost to follow-up after recurrence.

Prognostic performance of LN staging systems

The median OS and RFS was 31.7 (95% CI, 27.2-37.2) and 15.4 (95% CI, 13.5-17.7) months, respectively. Figure 2 shows the relationships between OS and AJCC N stage, LNR, and LODDS. All three LN staging systems were significantly correlated with OS (p < 0.001). In the univariate Cox proportional hazard regression model predicting OS, five covariates showed p ≤ 0.2; these were histologic grade, lymphovascular invasion, perineural invasion, pathologic T stage, and preoperative CA19-9 ≥ 100 U/mL. When OS and RFS were evaluated by a multivariate-adjusted LN model that included the above covariates, all three LN classification systems were significantly correlated with OS and RFS (Table 2). As the LN grade increased, the predicted hazard ratio (HR) of OS and RFS increased proportionally in the three LN staging systems. Additionally, each multivariate-adjusted LN prognostic model was internally validated (Table 2). LNR showed the highest discrimination ability in predicting OS and RFS.

Fig. 2.

Fig. 2

Overall survival graph by Kaplan–Meier survival method, classified by (a) AJCC 8th edition N stage, (b) LNR (LNR 1, LNR = 0; LNR 2, LNR > 0 to ≤0.2; LNR 3, LNR > 0.2 to ≤0.4; LNR 4, LNR > 0.4), and (c) LODDS (LODDS 1, quantile 1; LODDS 2, quantile 2; LODDS 3, quantile 3; LODDS 4, quantile 4). AJCC, American Joint Committee on Cancer; LNR, Lymph-node ratio; LODDS, log odds of metastatic lymph nodes

Table 2.

Multivariate-adjusted Cox proportional hazard regression models predicting OS and RFS classified by AJCC 8th edition N stage, LNR, and LODDS

Number of patients OS RFS
Median OS, months HR (95% CI) a p AIC Bootstrap-corrected C index Median RFS, months HR (95% CI) a p AIC Bootstrap-corrected C index
pN (AJCC 8th)
 0 150 50.8 1 < 0.001 2003.0 0.57 23.5 1 < 0.001 2274.3 0.57
 1 135 27.0 1.58 (1.14-2.19) 15.0 1.34 (0.98-1.83)
 2 66 22.5 2.00 (1.36-2.95) 10.1 2.01 (1.38-2.92)
LNR
 0 150 50.8 1 < 0.001 2005.9 0.65 23.5 1 0.001 2278.4 0.63
  > 0 to ≤0.2 141 26.3 1.62 (1.17-2.23) 13.5 1.39 (1.02-1.88)
  > 0.2 to ≤0.4 23 21.5 1.66 (0.90-3.01) 11.0 1.80 (1.02-3.18)
  > 0.4 37 21.4 2.05 (1.31-3.20) 9.2 1.90 (1.23-2.96)
LODDS
 Quantile 1 89 48.8 1 0.002 2008.8 0.64 20.6 1 0.009 2277.5 0.63
 Quantile 2 91 34.8 1.26 (0.84-1.91) 17.3 1.17 (0.79-1.72)
 Quantile 3 85 27.4 1.46 (0.97-2.20) 15.4 1.24 (0.84-1.84)
 Quantile 4 86 22.0 1.90 (1.25-2.87) 10.1 1.78 (1.21-2.62)

OS overall survival, RFS recurrence-free survival, AIC akaike information criterion, AJCC American Joint Committee on Cancer, LNR lymph-node ratio, LODDS log odds of positive lymph nodes, CA 19-9 carbohydrate antigen 19-9

a HR adjusted with the histologic grade, lymphovascular invasion, perineural invasion, pathologic T stage, and preoperative CA19-9 ≥ 100 U/mL

Of the 222 patients with recurrences, a tumor was identified in a local region in 55 (24.8%) patients. The association of different LN staging systems with loco-regional recurrence was further analyzed by a multivariate-adjusted model using HR and 95% CI (Table 3). LNR and AJCC N stage were significantly associated with loco-regional recurrence (p = 0.026 and p = 0.027, respectively). There was no LN staging classification system that was significantly correlated with distant recurrence.

Table 3.

Predictive hazard ratio of local recurrence by three multivariate-adjusted lymph-node classification models

Local recurrence (N = 55)
Number of patients HR (95% CI) a p
pN (AJCC 8th) 0.027
 0 16 1.00
 1 22 1.44 (0.90-2.32)
 2 17 1.85 (1.05-3.24)
LNR 0.026
 0 16 1.00
  > 0 to ≤0.2 3 1.43 (0.86-2.35)
  > 0.2 to ≤0.4 15 2.26 (0.94-5.44)
  > 0.4 21 1.96 (0.99-3.90)
LODDS 0.138
 Quantile 1 10 1.00
 Quantile 2 14 1.08 (0.60-1.95)
 Quantile 3 13 0.61 (0.31-1.18)
 Quantile 4 18 1.54 (0.86-2.76)

AJCC American Joint Committee on Cancer, LNR lymph-node ratio, LODDS log odds of positive lymph nodes, CA 19-9 carbohydrate antigen 19-9

a HR adjusted with the histologic grade, lymphovascular invasion, perineural invasion, pathologic T stage, and preoperative CA19-9 ≥ 100 U/mL

There were 169 patients in low-LNR group (LNR ≤ 0.2) and 182 patient in high-LNR group (LNR > 0.2). In subgroup analysis based on number of 12 examined LNs in low-LNR group, there was no significant difference in OS (59.3 [95% CI, 39.2-93.0] months vs 40.5 [95% CI, 32.1-63.8] months; p = 0.337), RFS (29.1 [95% CI, 16.8-NA] months vs 18.8 [95% CI, 14.2-37.3] months; p = 0.333), and recurrence rate (54.2% vs 58.8%; p = 0.660) between the two groups. Likewise, subgroup analysis in high-LNR group showed no significant difference in OS (21.5 [95% CI, 18.0-39.8] months vs 25.7 [95% CI, 22.0-30.5] (95% CI, 10.3-15.3) months; p = 0.897), RFS (15.0 [95% CI, 10.8-25.9] months vs 12.1 [95% CI, 10.3-15.3] months; p = 0.224), and recurrence rate (61.5% vs 72.3%, p = 0.213).

When subgroup analysis of patients who underwent CCRT was performed, the predictive performance of LNR was highest (C–index = 0.63), followed by LODDS (C–index = 0.62) and AJCC N stage (C–index = 0.57). Likewise, in subgroup analysis in patients who underwent only chemotherapy postoperatively, LNR showed the best prognostic performance (C–index = 0.67), followed by LODDS (C–index = 0.65) and AJCC N stage (C–index = 0.58).

Discussion

LN status is an important factor for predicting the prognosis of pancreatic cancer after surgery [5, 6, 14, 15]. LN metastasis can be evaluated in several ways based on the presence, number, and ratio of metastatic lymph nodes [6, 7]. In this study, the associations of the AJCC 8th edition N stage, LODDS, and LNR with prognosis in pancreatic cancer treated with adjuvant treatment after R0 resection were analyzed. All three parameters were significantly correlated with OS and RFS. LNR and AJCC N stage were statistically related to the loco-regional recurrence. LNR demonstrated the highest discrimination ability in predicting OS and RFS in both internal validation and subgroup analysis.

In this study, LN metastases was fewer than four in ~ 80% of the patients, and ~ 40% of the patients had no LN metastasis. The number of examined LNs may differ even in patients with the same number of LN metastases at the time of surgery; the actual prognosis may differ between the patients, but the same grade is given in the AJCC 8th edition N stage. MLODDS and LNR intrinsically evaluate not only the number of LN metastases but also the number of examined LNs. Both of them are advantageous for evaluating the adequacy of LN dissection and are less vulnerable to stage migration [16, 17]. In addition, since LODDS uses log odds, even patients without LN metastasis can be further subdivided [17]. Using LNR and LODDS will help overcome the shortcomings of the AJCC N stage and further stratify the PDAC treated with R0 resection and adjuvant treatment.

Currently, Vincente et al. [6] assessed the association of several LN classification systems with local recurrence based on logistic regression analysis and found no association between them. On the other hand, LNR and AJCC N stage were significantly related to the loco-regional recurrence in this study. These two LN classification systems are expected to help further classify patients and establish an active treatment plan such as radiotherapy in patients at high risk for loco-regional recurrence. Application of stereotactic ablative radiotherapy, which is known to be more potent than is conventional RT, can also be considered for loco-regional control [18, 19].

In a previous study using the Surveillance, Epidemiology, and End Results (SEER) database, the median number of examined LNs in patients with resected pancreatic cancer was 7 (range, 0-90), and at least 12 resected lymph nodes were required to adequately evaluate LN metastasis [14]. It is also known that the number of examined LNs in pancreatic cancer can be different according to the type of surgery [4, 6]. In this study, the number of dissected LNs was more than 12 regardless of the surgery type. It is suggested that if enough LN dissections are done, different LN staging systems can be applied universally regardless of the type of surgery.

A variety of therapeutic regimens have been actively studied as adjuvant treatment for resected pancreatic cancer, and there is no standard treatment protocol yet [9, 2022]. The recent study demonstrated that the modified-FOLFIRINOX regimen showed significantly longer survival than did gemcitabine among patients with resected pancreatic cancer [9]. In addition, a clinical trial regarding nab-paclitaxel and gemticabine in resected pancreatic cancer is ongoing (NCT01964430) [23]. Because the treatment duration, dosage, effect, and toxicity all depend on the type of treatment regimens, multidisciplinary discussion is essential in deciding on the appropriate treatment protocol for each patient. In this study, most of the patients were treated with CCRT after R0 resection, and there was no significant difference in overall survival between the CCRT and chemotherapy groups. When subgroup analysis was performed according to CCRT and chemotherapy, each LN system showed a prognostic performance comparable to that of the entire cohort. Regardless of the type of adjuvant therapy, LN metastasis status can help further stratify patients and find aggressive treatment strategies, such as the latest chemotherapy and clinical trials.

This study has several limitations. First, it is a single-center, retrospective study with a relatively small number of patients. The number of examined LNs is known to affect the prognosis, but this study did not show statistically significant results. In this study, margin-positive patients who may have poor prognosis were excluded in the first place, resulting in selection bias. In addition, LODDS was associated with loco-regional recurrence, but not statistically significant. This may stem from the small sample size and caution should be exercised in interpreting the results. Second, it did not include an external validation cohort. However, internal validation using a bootstrapping-adjusted C–index was applied to overcome the lack of an external validation set. A well-designed prospective validation study with a large number of patients is required to adequately assess the prognostic value of the LN prognostic models. Third, the diversity of CCRT and chemotherapy regimens may serve as a confounding factor. Fourth, for the cut-off value of LNR, this study defined LNR on the basis of the most recent study [6]. However, the optimal cut-off value has not yet been established [2427]. Well-designed, large prospective studies are needed to find the optimal LNR cut-off value predicting prognosis in resected pancreatic cancer.

Conclusions

Various LN classification systems, including the AJCC 8th edition N stage, LNR, and LODDS demonstrated significant prognostic performance in R0 resected pancreatic cancer. LNR showed not only the best prognostic performance but also a significant relationship with loco-regional recurrence. Further stratification according to LNR may help establish an active treatment plan and predict loco-regional recurrence in patients with pancreatic cancer treated with R0 resection and adjuvant treatment.

Supplementary information

12885_2019_6193_MOESM1_ESM.docx (33.8KB, docx)

Additional file 1: Table S1. Detailed data regarding adjuvant treatment.

Acknowledgments

The abstract of this paper was presented at the International Association of Pancreatology Congress 2019 as a poster presentation. The poster’s abstract was published in the Pancreatology: https://www.sciencedirect.com/science/article/pii/S1424390319303813?via%3Dihub. We would like to express our deepest gratitude to Hyun Sup Song, a former National Assembly member, and Jung Woo Song for donation to Liver Research Foundation of Korea.

Abbreviations

AIC

Akaike information criterion

AJCC

American Joint Committee on Cancer

CCRT

Concurrent chemoradiation therapy

CI

Confidence interval

CT

Computed tomography

ECOG

Eastern Cooperative Oncology Group

LN

Lymph-node

LNR

Lymph-node ratio

LODDS

Log odds of positive lymph nodes

OS

Overall survival

RFS

Recurrence-free survival

Authors’ contributions

Conception and design by SHL; collection and assembly of data by S-WK, MSY, YHC and B-SS; statistical guidance by DKJ and JKL; data analysis and interpretation by WK, JYJ, WHP, SHL and Y-TK; manuscript writing by MSY and JKR. All authors read and approved the final manuscript.

Funding

This work was supported by Liver Research Foundation of Korea. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The findings achieved herein are solely the responsibility of the authors.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Ethics approval and consent to participate

This study was approved by Institutional Review Board of the Seoul National University Hospital, Seoul, Korea (1802-113-924). Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

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

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12885-019-6193-0.

References

  • 1.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68(1):7–30. doi: 10.3322/caac.21442. [DOI] [PubMed] [Google Scholar]
  • 2.Cress RD, Yin D, Clarke L, Bold R, Holly EA. Survival among patients with adenocarcinoma of the pancreas: a population-based study (United States) Cancer Causes Control. 2006;17(4):403–409. doi: 10.1007/s10552-005-0539-4. [DOI] [PubMed] [Google Scholar]
  • 3.Barugola G, Partelli S, Marcucci S, Sartori N, Capelli P, Bassi C, Pederzoli P, Falconi M. Resectable pancreatic cancer: who really benefits from resection? Ann Surg Oncol. 2009;16(12):3316–3322. doi: 10.1245/s10434-009-0670-7. [DOI] [PubMed] [Google Scholar]
  • 4.Masuda T, Dann AM, Elliott IA, Baba H, Kim S, Sedarat A, Muthusamy VR, Girgis MD, Joe Hines O, Reber HA, et al. A comprehensive assessment of accurate lymph node staging and preoperative detection in resected pancreatic cancer. J Gastrointest Surg. 2018;22(2):295–302. doi: 10.1007/s11605-017-3607-7. [DOI] [PubMed] [Google Scholar]
  • 5.La Torre M, Nigri G, Petrucciani N, Cavallini M, Aurello P, Cosenza G, Balducci G, Ziparo V, Ramacciato G. Prognostic assessment of different lymph node staging methods for pancreatic cancer with R0 resection: pN staging, lymph node ratio, log odds of positive lymph nodes. Pancreatology. 2014;14(4):289–294. doi: 10.1016/j.pan.2014.05.794. [DOI] [PubMed] [Google Scholar]
  • 6.Morales-Oyarvide V, Rubinson DA, Dunne RF, Kozak MM, Bui JL, Yuan C, Qian ZR, Babic A, Da Silva A, Nowak JA, et al. Lymph node metastases in resected pancreatic ductal adenocarcinoma: predictors of disease recurrence and survival. Br J Cancer. 2017;117(12):1874–1882. doi: 10.1038/bjc.2017.349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Yamada S, Fujii T, Hirakawa A, Kanda M, Sugimoto H, Kodera Y. Lymph node ratio as parameter of regional lymph node involvement in pancreatic cancer. Langenbeck's Arch Surg. 2016;401(8):1143–1152. doi: 10.1007/s00423-016-1412-5. [DOI] [PubMed] [Google Scholar]
  • 8.Roth MT, Berlin JD. Current concepts in the treatment of resectable pancreatic cancer. Curr Oncol Rep. 2018;20(5):39. doi: 10.1007/s11912-018-0685-y. [DOI] [PubMed] [Google Scholar]
  • 9.Conroy T, Hammel P, Hebbar M, Ben Abdelghani M, Wei AC, Raoul JL, Chone L, Francois E, Artru P, Biagi JJ, et al. FOLFIRINOX or gemcitabine as adjuvant therapy for pancreatic cancer. N Engl J Med. 2018;379(25):2395–2406. doi: 10.1056/NEJMoa1809775. [DOI] [PubMed] [Google Scholar]
  • 10.Strobel O, Hank T, Hinz U, Bergmann F, Schneider L, Springfeld C, Jager D, Schirmacher P, Hackert T, Buchler MW. Pancreatic cancer surgery: the new R-status counts. Ann Surg. 2017;265(3):565–573. doi: 10.1097/SLA.0000000000001731. [DOI] [PubMed] [Google Scholar]
  • 11.Sinn M, Bahra M, Liersch T, Gellert K, Messmann H, Bechstein W, Waldschmidt D, Jacobasch L, Wilhelm M, Rau BM, et al. CONKO-005: adjuvant chemotherapy with gemcitabine plus erlotinib versus gemcitabine alone in patients after r0 resection of pancreatic cancer: a multicenter randomized phase III trial. J Clin Oncol. 2017;35(29):3330–3337. doi: 10.1200/JCO.2017.72.6463. [DOI] [PubMed] [Google Scholar]
  • 12.Strobel O, Hinz U, Gluth A, Hank T, Hackert T, Bergmann F, Werner J, Buchler MW. Pancreatic adenocarcinoma: number of positive nodes allows to distinguish several N categories. Ann Surg. 2015;261(5):961–969. doi: 10.1097/SLA.0000000000000814. [DOI] [PubMed] [Google Scholar]
  • 13.Pencina MJ, D'Agostino RB. Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. Stat Med. 2004;23(13):2109–2123. doi: 10.1002/sim.1802. [DOI] [PubMed] [Google Scholar]
  • 14.Slidell MB, Chang DC, Cameron JL, Wolfgang C, Herman JM, Schulick RD, Choti MA, Pawlik TM. Impact of total lymph node count and lymph node ratio on staging and survival after pancreatectomy for pancreatic adenocarcinoma: a large, population-based analysis. Ann Surg Oncol. 2008;15(1):165–174. doi: 10.1245/s10434-007-9587-1. [DOI] [PubMed] [Google Scholar]
  • 15.Basturk O, Saka B, Balci S, Postlewait LM, Knight J, Goodman M, Kooby D, Sarmiento JM, El-Rayes B, Choi H, et al. Substaging of lymph node status in resected pancreatic ductal adenocarcinoma has strong prognostic correlations: proposal for a revised N classification for TNM staging. Ann Surg Oncol. 2015;22:1187–1195. doi: 10.1245/s10434-015-4861-0. [DOI] [PubMed] [Google Scholar]
  • 16.Pawlik TM, Gleisner AL, Cameron JL, Winter JM, Assumpcao L, Lillemoe KD, Wolfgang C, Hruban RH, Schulick RD, Yeo CJ, et al. Prognostic relevance of lymph node ratio following pancreaticoduodenectomy for pancreatic cancer. Surgery. 2007;141(5):610–618. doi: 10.1016/j.surg.2006.12.013. [DOI] [PubMed] [Google Scholar]
  • 17.Persiani R, Cananzi FC, Biondi A, Paliani G, Tufo A, Ferrara F, Vigorita V, D'Ugo D. Log odds of positive lymph nodes in colon cancer: a meaningful ratio-based lymph node classification system. World J Surg. 2012;36(3):667–674. doi: 10.1007/s00268-011-1415-x. [DOI] [PubMed] [Google Scholar]
  • 18.Goldsmith C, Plowman PN, Green MM, Dale RG, Price PM. Stereotactic ablative radiotherapy (SABR) as primary, adjuvant, consolidation and re-treatment option in pancreatic cancer: scope for dose escalation and lessons for toxicity. Radiat Oncol. 2018;13(1):204. doi: 10.1186/s13014-018-1138-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Zhong J, Patel K, Switchenko J, Cassidy RJ, Hall WA, Gillespie T, Patel PR, Kooby D, Landry J. Outcomes for patients with locally advanced pancreatic adenocarcinoma treated with stereotactic body radiation therapy versus conventionally fractionated radiation. Cancer. 2017;123(18):3486–3493. doi: 10.1002/cncr.30706. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.NCCN Clinical Practice Guidelines in Oncology. Pancreatic Adenocarcinoma (v.3.2019). 2019. https://www.nccn.org/professionals/physician_gls/pdf/pancreatic.pdf. Accessed 21 Aug 2019.
  • 21.Uesaka K, Boku N, Fukutomi A, Okamura Y, Konishi M, Matsumoto I, Kaneoka Y, Shimizu Y, Nakamori S, Sakamoto H, et al. Adjuvant chemotherapy of S-1 versus gemcitabine for resected pancreatic cancer: a phase 3, open-label, randomised, non-inferiority trial (JASPAC 01) Lancet. 2016;388(10041):248–257. doi: 10.1016/S0140-6736(16)30583-9. [DOI] [PubMed] [Google Scholar]
  • 22.Laethem J-LV, Hammel P, Mornex F, Azria D, Tienhoven GV, Vergauwe P, Peeters M, Polus M, Praet M, Mauer M, et al. Adjuvant gemcitabine alone versus gemcitabine-based Chemoradiotherapy after curative resection for pancreatic cancer: a randomized EORTC-40013-22012/FFCD-9203/GERCOR phase II study. J Clin Oncol. 2010;28(29):4450–4456. doi: 10.1200/JCO.2010.30.3446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Neoptolemos JP, Kleeff J, Michl P, Costello E, Greenhalf W, Palmer DH. Therapeutic developments in pancreatic cancer: current and future perspectives. Nat Rev Gastroenterol Hepatol. 2018;15(6):333–348. doi: 10.1038/s41575-018-0005-x. [DOI] [PubMed] [Google Scholar]
  • 24.Valsangkar NP, Bush DM, Michaelson JS, Ferrone CR, Wargo JA, Lillemoe KD, Fernandez-del Castillo C, Warshaw AL, Thayer SP. N0/N1, PNL, or LNR? The effect of lymph node number on accurate survival prediction in pancreatic ductal adenocarcinoma. J Gastrointest Surg. 2013;17(2):257–266. doi: 10.1007/s11605-012-1974-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Robinson SM, Rahman A, Haugk B, French JJ, Manas DM, Jaques BC, Charnley RM, White SA. Metastatic lymph node ratio as an important prognostic factor in pancreatic ductal adenocarcinoma. Eur J Surg Oncol. 2012;38(4):333–339. doi: 10.1016/j.ejso.2011.12.020. [DOI] [PubMed] [Google Scholar]
  • 26.Yamamoto Y, Ikoma H, Morimura R, Konishi H, Murayama Y, Komatsu S, Shiozaki A, Kuriu Y, Kubota T, Nakanishi M, et al. The clinical impact of the lymph node ratio as a prognostic factor after resection of pancreatic cancer. Anticancer Res. 2014;34(5):2389–2394. [PubMed] [Google Scholar]
  • 27.Lahat G, Lubezky N, Gerstenhaber F, Nizri E, Gysi M, Rozenek M, Goichman Y, Nachmany I, Nakache R, Wolf I, et al. Number of evaluated lymph nodes and positive lymph nodes, lymph node ratio, and log odds evaluation in early-stage pancreatic ductal adenocarcinoma: numerology or valid indicators of patient outcome? World J Surg Oncol. 2016;14(1):254. doi: 10.1186/s12957-016-0983-5. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

12885_2019_6193_MOESM1_ESM.docx (33.8KB, docx)

Additional file 1: Table S1. Detailed data regarding adjuvant treatment.

Data Availability Statement

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.


Articles from BMC Cancer are provided here courtesy of BMC

RESOURCES