Literature DB >> 35117698

Primary tumor resection and lymph node dissection improve survival in de novo metastatic pancreatic ductal adenocarcinoma: an inverse probability of treatment weighting analysis.

Chaorui Wu1, Xiaojie Zhang1, Tongbo Wang1, Hong Zhou1, Chunguang Guo1, Yingtai Chen1, Dongbing Zhao1.   

Abstract

BACKGROUND: Primary tumor resection (PTR) and lymph node dissection (LND) may be performed occasionally in patients with de novo metastatic pancreatic ductal adenocarcinoma (mPDAC). However, the role of PTR and LND in such cases remains unclear. Thus, we aimed to test the effect of PTR and LND on overall survival (OS) and cancer-specific survival (CSS) in mPDAC patients.
METHODS: Patients with de novo mPDAC were identified from the Surveillance Epidemiology and End Results (SEER) database (2010-2015). The inverse probability of treatment weighting (IPTW) method was used to minimize the selection bias. IPTW-adjusted Kaplan-Meier curves and Cox proportional hazards models were used to compare OS and CSS in different treatment groups.
RESULTS: A total of 10,036 patients met the inclusion criteria. Of these patients, 275 (2.7%) underwent PTR, while 217 (2.2%) also underwent LND with a median of 16 nodes removed. In the IPTW-adjusted Kaplan-Meier analysis, the median OS was 13 versus 6 months (P<0.001) for the PTR and non-PTR groups, respectively, and 15 versus 5 months (P=0.007) for the LND and non-LND groups, respectively. In the IPTW-adjusted Cox regression analysis, PTR was independently associated with better OS [hazard ratio (HR) 0.483, 95% confidence interval (CI): 0.468-0.498, P<0.001], as was LND (HR 0.286, 95% CI: 0.228-0.358, P<0.001). Similar results were observed in the analysis of CSS. In the LND group, the extent of LND was not associated with either OS or CSS.
CONCLUSIONS: PTR and LND were independent prognostic factors that prolonged OS and CSS in de novo mPDAC patients. These findings must be validated in prospective randomized studies. 2020 Translational Cancer Research. All rights reserved.

Entities:  

Keywords:  Metastatic pancreatic ductal adenocarcinoma (mPDAC); SEER program; inverse probability of treatment weighting (IPTW); lymph node dissection (LND); primary tumor resection (PTR); prognosis

Year:  2020        PMID: 35117698      PMCID: PMC8798152          DOI: 10.21037/tcr.2020.04.02

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

Pancreatic ductal carcinoma (PDAC) represents the fourth leading cause of cancer-related mortality worldwide (1). Surgery remains the only treatment option with the potential of cure for PDAC, and only a subset (20–30%) of patients have diseases at a locally resectable stage (2). Once distant metastases have occurred, only palliative chemotherapy or chemoradiation therapy is recommended by the guidelines (3). Despite progress in the treatment of metastatic PDAC (mPDAC), the prognosis remains dismal, with a median survival of only 8–11 months, even for patients receiving intensive chemotherapy with nab-paclitaxel/gemcitabine or FOLFIRINOX (4). With the improved morbidity profile of pancreatic resection and metastasectomy and the potential for surgery to enhance survival, symptom control, and quality of life, primary tumor resection (PTR) with or without metastasectomy is gradually being attempted in select patients with mPDAC at some medical centers (5-7). For several other malignancies, such as gastrointestinal cancer and sarcoma, surgery and/or locoregional treatment within a multidisciplinary approach was considered to benefit select cases in terms of long-term disease control and survival (8,9). However, the beneficial role of PTR versus palliative chemotherapy for mPDAC in terms of long-term survival remains controversial. Moreover, the role of lymph node dissection (LND), which also contributes to the oncologic outcomes associated with the curative resection of non-metastatic PDAC, remains unclear (10). Given that previous studies concerning this topic were primarily case series (5,6,11-15), this study aimed to analyze the impact of PTR and LND on OS and CSS in de novo mPDAC using a population-based database. Inverse probability of treatment weighting (IPTW) was applied to minimize the selection bias between the groups.

Methods

Database and population

This cohort study retrospectively analyzed data from the Surveillance Epidemiology and End Results (SEER) database (2010–2015), which sampled 26% of new cancers in the US. Ethics approval and informed consent were waived by the Chinese National Cancer Center Institutional Review Board, as no patient, physician, or hospital identifiers were examined. Patients with de novo mPDAC diagnosed between 2010 and 2015 and treated with palliative chemotherapy or PTR plus chemotherapy were identified from the SEER database. Patients with PDAC were identified based on the International Classification of Diseases for Oncology, Third Edition (ICD-O-3) morphological codes 8140, 8150, 8210, 8211, 8251, 8260, 8261, 8263, 8480, 8481, 8490, 8500, 8503, and topographical codes C25.0–C25.9. Only patients diagnosed between 2010 and 2015 were eligible because details regarding the specific locations of metastases (liver, lung, bone, and brain) have only been provided in the SEER database since 2010. The following patients were excluded: patients with any previous cancer diagnosis; patients with incomplete follow-up data; patients with an unknown cause of death; and patients with incomplete information regarding their PTR and LND status.

Study variables

Patient-related information included age at diagnosis, race, sex, and marital status. Tumor data included primary tumor location, clinical T stage, clinical nodal status, the number of positive lymph nodes, and the specific location of metastases. The T stage was restaged according to the American Joint Commission on Cancer 8th edition for pancreatic cancer (16). Specifically, T1 was defined as a tumor ≤2 cm in size; T2 was defined as a tumor 2–4 cm in size; T3 was defined as a tumor >4 cm in size; and T4 was defined as a tumor invading the celiac axis, the superior mesenteric artery, and/or common hepatic artery, regardless of size. Treatment-related factors included the number of examined lymph nodes, receipt of PTR, receipt of metastasectomy, and receipt of LND. LND was defined according to the combination of two variables: the scope of regional lymph node surgery and the number of lymph nodes retrieved. The primary endpoint in this study was overall survival (OS), and the secondary endpoint was cancer-specific survival (CSS).

Statistical analysis

We compared the baseline characteristics between patients who underwent PTR (PTR group) and those who received palliative chemotherapy (non-PTR group) among the entire cohort and between patients who underwent LND (LND group) and those who did not undergo LND (non-LND group) among the patients treated with PTR. Binary logistic regression analysis was used to identify independent predictive factors for PTR or LND. To minimize the treatment selection bias, significant differences in patient characteristics were adjusted using the IPTW method. Specifically, we first calculated the propensity score, i.e., the odds of receiving PTR, using a logistic regression model that included variables affecting treatment allocation and survival (age at diagnosis, sex, marital status, race, primary tumor location, clinical T stage, clinical nodal status, and location of metastases). The propensity score of receiving LND was calculated in a similar way. We used the IPTW-adjusted Kaplan-Meier curves and log-rank test to compare OS and CSS between groups. IPTW-adjusted univariate and multivariate Cox regression models were used to estimate the effects of PTR and LND on survival. Covariates with univariate P<0.1 were selected for the logistic and Cox regression multivariable analyses. In this study, R version 3.5.1 (R Core Team 2018, Vienna, Austria) and SPSS version 22.0 (SPSS Inc., Chicago, IL, USA) were used to perform all statistical analyses. Statistical significance was set at 2-sided P<0.05.

Results

Baseline characteristics

Overall, 10,036 patients with de novo mPDAC diagnosed between 2010 and 2015 met the inclusion criteria; 275 (2.7%) of these patients underwent PTR. The baseline features of the eligible patients before and after IPTW adjustment, stratified by receipt of PTR, are listed in . In a multivariable logistic regression analysis based on unadjusted patients, age at diagnosis, marital status, primary tumor location, clinical T category, clinical nodal status, bone metastasis, lung metastasis, and liver metastasis were independently associated with the odds of receiving PTR (). After IPTW adjustment, except for bone metastasis, the covariates did not differ significantly between the PTR group and the non-PTR group.
Table 1

Baseline characteristics between the PTR and non-PTR groups, before and after IPTW adjustment

VariablesBefore IPTW, n (%)After IPTW (%)
PTR (n=9,761) (97.3%)Non-PTR (n=275) (2.7%)P valuePTRNon-PTRP value
Age, years
   >654,917 (50.4)115 (41.8)0.00650.152.00.726
   ≤654,844 (49.6)160 (58.2)49.948.0
Gender
   Female4,398 (45.1)120 (43.6)0.68545.049.00.454
   Male5,363 (54.9)155 (56.4)55.051.0
Race
   Black1,210 (12.4)30 (10.9)0.69112.416.20.613
   White7,816 (80.1)222 (80.7)80.175.4
   Other735 (7.5)23 (11.6)7.58.4
Marital status
   Never married1,370 (14.0)31 (11.3)0.02114.017.60.248
   Married6,063 (62.1)196 (71.3)62.463.7
   Previously married1,925 (19.7)39 (14.2)19.612.5
   Unknown403 (4.1)9 (3.3)4.16.1
Primary tumor location
   Head3,446 (35.3)147 (53.5)<0.00135.837.40.935
   Body and tail3,790 (38.8)94 (34.2)38.737.0
   Other2,525 (25.9)34 (12.4)25.525.6
Clinical nodal status
   Negative4,880 (50.0)94 (34.2)<0.00149.657.20.388
   Positive3,424 (35.1)174 (63.3)35.828.7
   Unknown1,457 (14.9)7 (2.5)14.614.1
Clinical T category
   T1311 (3.2)3 (1.1)<0.0013.15.20.794
   T22,626 (26.9)128 (46.5)27.425.2
   T32,375 (24.3)88 (32.0)24.526.9
   T42,085 (21.4)37 (13.5)21.118.4
   Tx2,364 (24.2)19 (6.9)23.724.4
Bone metastasis
   No8,756 (89.7)263 (95.6)0.00589.992.30.018
   Yes699 (7.2)7 (2.5)7.01.3
   Unknown306 (3.1)5 (1.8)3.16.4
Lung metastasis
   No7,404 (75.9)238 (86.5)<0.00176.279.30.366
   Yes1,999 (20.5)34 (12.4)20.314.5
   Unknown358 (3.7)3 (1.1)3.66.1
Brain metastasis
   No9,388 (96.2)270 (98.2)0.21396.293.60.547
   Yes46 (0.5)1 (0.4)0.51.3
   Unknown327 (3.4)4 (1.5)3.35.0
Liver metastasis
   No2,189 (22.4)124 (45.1)<0.00123.120.90.749
   Yes7,415 (76.0)149 (54.2)75.476.8
   Unknown157 (1.6)2 (0.7)1.62.3

IPTW, inverse probability of treatment weighting; PTR, primary tumor resection.

Table 2

Multivariate logistic regression model predicting receipt of PTR or LND in the unadjusted population

VariablesPTR*LND§
OR (95% CI)P valueOR (95% CI)P value
Age (>65) (years)0.737 (0.572–0.949)0.018
Marital status
   Never marriedReferenceReference
   Married1.536 (1.036–2.279)0.0330.980 (0.277–3.461)0.975
   Previously married1.023 (0.626–1.672)0.9290.245 (0.057–1.050)0.058
   Unknown1.084 (0.502–2.336)0.8380.125 (0.016–0.960)0.046
Primary tumor location
   HeadReference
   Body and tail0.638 (0.485–0.838)0.001
   Other0.458 (0.309–0.678)<0.001
Clinical T category
   T1Reference
   T24.035 (1.262–12.903)0.019
   T33.336 (1.038–10.728)0.043
   T41.361 (0.412–4.489)0.613
   Tx1.066 (0.310–3.663)0.919
Clinical nodal status
   NegativeReferenceReference
   Positive2.647 (2.037–3.440)<0.00116.706 (7.267–38.407)<0.001
   Unknown0.401 (0.184–0.877)0.022
Bone metastasis
   NoReference
   Yes0.340 (0.158–0.732)0.006
   Unknown1.900 (0.621–5.811)0.261
Liver metastasis
   NoReference
   Yes0.286 (0.221–0.369)<0.001
   Unknown0.353 (0.069–1.801)0.211
Lung metastasis
   NoReference
   Yes0.390 (0.267–0.571)<0.001
   Unknown0.307 (0.073–1.282)0.105

*, adjusted for age at diagnosis, marital status, primary tumor location, clinical T category, clinical nodal status, bone metastasis, liver metastasis, and lung metastasis; §, adjusted for age at diagnosis, race, marital status, clinical T category, and clinical nodal status. LND, lymph node dissection; OR, odds ratio; CI, confidence interval; PTR, primary tumor resection.

IPTW, inverse probability of treatment weighting; PTR, primary tumor resection. *, adjusted for age at diagnosis, marital status, primary tumor location, clinical T category, clinical nodal status, bone metastasis, liver metastasis, and lung metastasis; §, adjusted for age at diagnosis, race, marital status, clinical T category, and clinical nodal status. LND, lymph node dissection; OR, odds ratio; CI, confidence interval; PTR, primary tumor resection. Among the 275 patients who underwent PTR, 217 (78.9%) also underwent LND. The baseline features of the patients treated with PTR before and after IPTW adjustment, stratified by receipt of LND, are presented in . The unweighted patient-based multivariable logistic regression analysis suggested that marital status, clinical T category, and clinical nodal status were independently associated with the odds of receiving LND (). After IPTW adjustment, except for bone metastasis, no residual significant imbalance was observed between the LND group and the non-LND group. Among patients who underwent LND, the median number of examined lymph nodes was 16 [interquartile range (IQR), 9–23]. Metastatic nodal disease was documented in a total of 245 patients (75.4%).
Table 3

Baseline characteristics between the LND and non-LND groups, before and after IPTW adjustment

VariablesBefore IPTW, n (%)After IPTW (%)
LND (n=217) (78.9%)Non-LND (n=58) (21.1%)P valueLNDNon-LNDP value
Age, years
   >6584 (38.7)31 (53.4)0.06137.455.50.199
   ≤65133 (61.3)27 (46.6)62.644.5
Gender
   Female89 (41.0)31 (53.4)0.12242.442.90.972
   Male128 (59.0)27 (46.6)57.657.1
Race
   Black19 (8.8)11 (19.0)0.0829.110.30.465
   White180 (82.9)42 (72.4)82.071.4
   Other18 (8.3)5 (8.6)8.918.3
Marital status
   Never married25 (11.5)6 (10.3)0.00911.110.10.971
   Married162 (74.7)34 (58.6)72.274.5
   Previously married26 (12.0)13 (22.4)14.312.5
   Unknown4 (1.8)5 (8.6)2.43.0
Primary tumor location
   Head113 (52.1)34 (58.6)0.49151.046.60.780
   Body and tail78 (35.9)16 (27.6)36.833.6
   Other26 (12.0)8 (13.8)12.119.8
Clinical nodal status
   Negative52 (24.0)42 (72.4)<0.00134.432.10.430
   Positive165 (76.0)9 (15.5)65.665.5
   Unknown0 (0)7 (12.1)0.02.4
Clinical T category
   T12 (0.9)1 (1.7)0.0051.10.70.624
   T2104 (47.9)24 (41.4)47.032.7
   T375 (34.6)13 (22.4)32.242.6
   T427 (12.4)10 (17.2)13.218.2
   Tx9 (4.1)10 (17.2)6.55.8
Bone metastasis
   No207 (95.4)56 (96.6)0.22996.199.30.029
   Yes7 (3.2)0 (0.0)2.70.0
   Unknown3 (1.4)2 (3.4)1.20.7
Lung metastasis
   No190 (87.6)48 (82.8)0.13688.590.70.728
   Yes26 (12.0)8 (13.8)11.18.6
   Unknown1 (0.5)2 (3.4)0.40.7
Brain metastasis
   No214 (98.6)56 (96.6)0.31798.899.30.586
   Yes1 (0.5)0 (0.0)11.10.0
   Unknown2 (0.9)2 (3.4)0.40.7
Liver metastasis
   No104 (47.9)20 (34.5)0.12946.345.00.956
   Yes112 (51.6)37 (63.8)53.354.6
   Unknown1 (0.5)1 (1.7)0.40.4
Metastasectomy39 (18.0)11 (19.0)1.00018.79.20.089

IPTW, inverse probability of treatment weighting; LND, lymph node dissection.

IPTW, inverse probability of treatment weighting; LND, lymph node dissection.

Survival outcomes

Overall, 9,447 patients (94.1%) died during the study period, and 9,213 (91.8% of all deaths) died of mPDAC. The median follow-up time was 41.0 [95% confidence interval (CI), 38.2–43.7] months.

PTR and survival in mPDAC

In the IPTW-adjusted Kaplan-Meier analysis, PTR was associated with a significant OS benefit [hazard ratio (HR), 0.456; 95% CI, 0.442–0.470; P<0.001] and CSS benefit (HR, 0.457; 95% CI, 0.444–0.472; P<0.001). The IPTW-adjusted median OS was 13 (IQR, 13–14) versus 6 (IQR, 6–7) months, and the median CSS was 13 (IQR, 13–14) versus 7 (IQR, 6–7) months for the PTR group and non-PTR group, respectively (). In the IPTW-adjusted multivariate Cox proportional hazards regression analysis, PTR was independently associated with an OS benefit (HR, 0.504; 95% CI, 0.441–0.576; P<0.001) and a CSS benefit (HR, 0.505; 95% CI, 0.441–0.579; P<0.001) ().
Figure 1

Survival curves depicting overall survival (A,C) or cancer-specific survival (B,D) of patients stratified according to presence or absence of primary tumor resection or lymph node dissection. LND, lymph node dissection; IPTW, inverse probability of treatment weighting; HR, hazard ratio; CI, confidence interval.

Table 4

Multivariable Cox regression models predicting OS and CSS in patients who underwent or not PTR after IPTW adjustment

VariablesOS*CSS*
HR (95% CI)P valueHR (95% CI)P value
Age (>65) (years)1.436 (1.393–1.480)<0.0011.460 (1.415–1.506)<0.001
Gender (female)0.894 (0.867–0.922)<0.0010.898 (0.870–0.926)<0.001
Race
   BlackReferenceReference
   White1.061 (1.014–1.111)0.0111.067 (1.018–1.117)0.005
   Other1.304 (1.217–1.396)<0.0011.331 (1.242–1.427)<0.001
Marital status
   Never marriedReferenceReference
   Married0.688 (0.659–0.718)<0.0010.683 (0.654–0.713)<0.001
   Previously married0.907 (0.860–0.956)<0.0010.869 (0.824–0.918)<0.001
   Unknown0.862 (0.793–0.938)0.0010.857 (0.788–0.933)<0.001
Primary tumor location
   HeadReferenceReference
   Body and tail0.882 (0.850–0.915)<0.0010.871 (0.840–0.904)<0.001
   Other0.927 (0.890–0.966)<0.0010.933 (0.896–0.973)0.001
Clinical T category
   T1ReferenceReference
   T20.844 (0.772–0.923)<0.0010.832 (0.761–0.910)<0.001
   T30.811 (0.741–0.887)<0.0010.793 (0.725–0.868)<0.001
   T40.716 (0.654–0.784)<0.0010.694 (0.634–0.761)<0.001
   Tx1.138 (1.040–1.244)<0.0011.122 (1.026–1.227)<0.001
Clinical nodal status
   NegativeReferenceReference
   Positive1.132 (1.094–1.172)<0.0011.121 (1.083–1.161)<0.001
   Unknown1.295 (1.236–1.356)<0.0011.296 (1.237–1.358)<0.001
Bone metastasis
   NoReferenceReference
   Yes1.110 (1.030–1.196)0.0061.114 (1.033-1.201)0.005
   Unknown1.053 (0.871–1.274)0.5911.062 (0.876-1.288)0.541
Liver metastasis
   NoReferenceReference
   Yes1.212 (1.167–1.259)<0.0011.205 (1.159–1.252)<0.001
   Unknown0.852 (0.735–0.989)0.0350.848 (0.730-0.985)0.030
Brain metastasis
   NoReferenceReference
   Yes1.110 (1.030–1.196)0.0371.233 (0.989–1.538)0.063
   Unknown1.054 (0.871–1.274)0.0021.298 (1.091–1.543)0.003
Lung metastasis
   NoReferenceReference
   Yes1.108 (1.064–1.153)<0.0011.113 (1.069–1.160)<0.001
   Unknown0.984 (0.866–1.119)0.8030.995 (0.874–1.132)0.926
PTR0.483 (0.468–0.498)<0.0010.485 (0.470–0.500)<0.001

*, all variables collected in this study was with a univariate P value <0.1. IPTW, inverse probability of treatment weighting; OS, overall survival; CSS, cancer-specific survival; HR, hazard ratio; CI, confidence interval, PTR, primary tumor resection.

Survival curves depicting overall survival (A,C) or cancer-specific survival (B,D) of patients stratified according to presence or absence of primary tumor resection or lymph node dissection. LND, lymph node dissection; IPTW, inverse probability of treatment weighting; HR, hazard ratio; CI, confidence interval. *, all variables collected in this study was with a univariate P value <0.1. IPTW, inverse probability of treatment weighting; OS, overall survival; CSS, cancer-specific survival; HR, hazard ratio; CI, confidence interval, PTR, primary tumor resection.

LND and survival in mPDAC

In the IPTW-adjusted Kaplan-Meier analysis, LND was associated with a significant OS benefit (HR, 0.526; 95% CI, 0.439–0.631; P=0.007) and CSS benefit (HR, 0.509; 95% CI, 0.424–0.611; P=0.005). The IPTW-adjusted median OS was 15 (IQR, 14–17) versus 5 (IQR, 5–7) months, and the median CSS was 15 (IQR, 14–18) versus 5 (IQR, 5–7) months for the LND group and non-LND group, respectively (). In IPTW-adjusted multivariate Cox proportional hazards regression analysis, LND was independently associated with an OS benefit (HR, 0.286; 95% CI, 0.228–0.358; P<0.001) and a CSS benefit (HR, 0.264; 95% CI, 0.209–0.333; P<0.001) ().
Table 5

Multivariable Cox regression models predicting OS and CSS in patients who underwent or not LND after IPTW adjustment

VariablesOS*CSS*
HR (95% CI)P valueHR (95% CI)P value
LND0.286 (0.228–0.358)<0.0010.264 (0.209–0.333)<0.001
Age (>65) (years)1.540 (1.269–1.868)<0.0011.583 (1.301–1.926)<0.001
Race
   BlackReferenceReference
   White1.112 (0.785–1.575)0.5521.112 (0.780–1.586)0.558
   Other2.065 (1.353–3.151)0.0012.079 (1.354–3.192)0.001
Clinical nodal status
   NegativeReferenceReference
   Positive2.034 (1.599–2.589)<0.0012.122 (1.656–2.718)<0.001
   Unknown0.947 (0.425–2.111)0.8950.941 (0.421–2.102)0.882
Marital status
   Never marriedReferenceReference
   Married1.649 (1.197–2.273)0.0021.631 (1.181–2.252)0.003
   Previously married0.999 (0.670–1.489)0.9960.886 (0.589–1.332)0.560
   Unknown0.899 (0.430–1.878)0.7760.851 (0.406–1.782)0.668
Clinical T category
   T1ReferenceReference
   T20.624 (0.165–2.358)0.4870.600 (0.158–2.277)0.453
   T30.793 (0.209–3.007)0.7330.754 (0.198–2.869)0.679
   T40.173 (0.044–0.690)0.0130.153 (0.038–0.614)0.008
   Tx0.740 (0.185–2.955)0.6690.717 (0.179–2.873)0.638
Bone metastasis
   NoReferenceReference
   Yes0.434 (0.162–1.167)0.0980.431 (0.160–1.160)0.096
   Unknown1.460 (0.590–3.610)0.4131.462 (0.590–3.623)0.411
Metastasectomy0.700 (0.516–0.950)0.0220.685 (0.502–0.935)<0.001

*, all variables collected in this study was with a univariate P value <0.1. IPTW, inverse probability of treatment weighting; LND, lymph node dissection; OS, overall survival; CSS, cancer-specific survival; HR, hazard ratio; CI, confidence interval.

*, all variables collected in this study was with a univariate P value <0.1. IPTW, inverse probability of treatment weighting; LND, lymph node dissection; OS, overall survival; CSS, cancer-specific survival; HR, hazard ratio; CI, confidence interval.

Lymph node status and survival in mPDAC

The multivariate analysis results suggested that nodal status was an independent prognostic factor of OS and CSS (). However, the number of examined lymph nodes was not associated with OS (HR 1.000; 95% CI, 0.991–1.009, P=0.960) or CSS (HR 0.953; 95% CI, 0.991–1.009, P=0.953). There was no significant difference between patients with <16 and ≥16 examined lymph nodes in terms of OS (P=0.728) or CSS (P=0.733).

Discussion

This SEER-based study represents one of the latest attempts to investigate the survival benefit of PTR and the first study to investigate LND among de novo mPDAC patients. Our results suggested that PTR and LND were independently associated with a significant survival benefit compared to palliative chemotherapy in patients with de novo mPDAC. With the decreasing surgery-related morbidity over the past decades, mortality rates lower than 5%, and the emergence of potent chemotherapy regimens such as nab-paclitaxel and FOLFIRINOX, PTR with or without preoperative chemotherapy has been gradually adopted as a potential treatment option for mPDAC. Our findings suggested that PTR was associated with survival benefit compared to palliative chemotherapy. Similar to our results, Tao et al. identified 467 patients with mPDAC who had PTR from the SEER database. They concluded that local treatment has a primary benefit on both CSS and OS in patients with mPDAC (17). Bahra et al. suggested that the survival of 45 patients who had primary cytoreductive surgery followed by chemotherapy was superior to that of patients who received palliative chemotherapy if a tumor-free margin could be achieved (7). The potential mechanism underlying the beneficial role of PTR may be as follows. PDAC is a tumor with more than half of the tumor volume being stroma characterized by extensive fibrosis and extracellular matrix deposition (18,19). The dense stroma mediates the chemotherapy-resistant property of pancreatic cancers by blocking tumor cells from the effects of chemotherapeutic agents. Thus, stroma-mediated chemotherapy insensitivity is one of the important mechanisms underlying the poor prognosis of patients with PDAC (20,21). It was observed that unconformity existed in the response to chemotherapy between the primary lesion and the metastases. Dense stroma within the primary tumor versus the metastases may be the reason for this discrepancy in tumor response. Thus, PTR could theoretically improve the chemotherapy sensitivity of mPDAC by removing the primary tumor with dense stroma even when complete removal of all tumor lesions is not possible. Relevant literature regarding the benefits of PTR for de novo mPDAC in terms of long-term survival is very limited, and suggestions on this issue remain controversial. Gleisner et al. retrospectively analyzed data from 22 patients who underwent upfront surgical resection for PDAC with synchronous liver disease (22). In their results, simultaneous resection of primary lesions and liver metastases did not result in a better prognosis, even for select patients with a low burden of liver metastasis. Tachezy et al. also identified 69 similar patients who underwent simultaneous resection of the pancreas and liver metastasis. The OS was improved in patients who underwent simultaneous resection (median 14 vs. 8 months, P<0.001) (14). Tumor resection was the only independent predictor of OS in the multivariate analysis. Based on these studies, surgery could be discreetly considered as a treatment strategy for super select patients with mPDAC. To the best of our knowledge, this is the first study to investigate the beneficial role of LND in terms of long-term survival for patients with mPDAC. For patients treated with PTR, LND was significantly associated with better OS and CSS. The oncologic benefit of LND in non-metastatic PDAC could be justified by the complete removal of cancer. However, it was interesting to observe a beneficial prognostic role of LND in the resection of the primary tumor for mPDAC. LND usually did not bear prognostic benefits in patients with mPDAC whose metastatic lesions were largely left intact. A mechanism associated with cancer immunity may be responsible for the beneficial role of LND in mPDAC. It was reported that there was a balance between antitumor and protumor immunity inside the tumor-draining lymph nodes (TDLN). As the cancer advanced, the metastatic tumor cells inside the TDLN tipped the balance toward protumor immunity and converted the immunologic microenvironment of the TDLN to a tolerogenic milieu (23). Preclinical studies have suggested that the accumulation of Foxp3+ T regulatory cells in the TDLN inhibited the function of CD8+ T cells (24). Foxp3+ T cell-dependent dendritic cell death in the TDLN inhibited the onset of CD8+ T cell responses (25). Therefore, the removal of regional lymph nodes, even if they are negative, may also reverse protumor immunity, resulting in a better prognosis. There are some limitations to our study. First, this study was retrospective and thus could not be free of selection bias. The selection criteria for surgery were unknown in the SEER database, although they must be related to the amount of tumor burden. Indeed, the SEER database lacks information regarding the number and distribution of metastatic lesions. Second, the SEER database did not contain information on comorbidities, performance status, and chemotherapeutic agents, which may confound the evaluation of the actual effects of surgery. Finally, the SEER database also lacks information about surgical margin status and complication rates, which are instrumental in the decision to perform a major operation.

Conclusions

Although this is a retrospective study, the results suggest that PTR and LND were independent prognostic factors that prolonged OS and CSS in de novo mPDAC patients. However, these findings must be validated in prospective randomized studies.
  25 in total

1.  Cytoreductive Surgery for Pancreatic Cancer Improves Overall Outcome of Gemcitabine-Based Chemotherapy.

Authors:  Marcus Bahra; Johann Pratschke; Fritz Klein; Peter Neuhaus; Sabine Boas-Knoop; Gero Puhl; Timm Denecke; Joyce R Pullankavumkal; Marianne Sinn; Hanno Riess; Uwe Pelzer
Journal:  Pancreas       Date:  2015-08       Impact factor: 3.327

2.  Multi-institutional Validation Study of the American Joint Commission on Cancer (8th Edition) Changes for T and N Staging in Patients With Pancreatic Adenocarcinoma.

Authors:  Peter J Allen; Deborah Kuk; Carlos Fernandez-Del Castillo; Olca Basturk; Christopher L Wolfgang; John L Cameron; Keith D Lillemoe; Cristina R Ferrone; Vicente Morales-Oyarvide; Jin He; Matthew J Weiss; Ralph H Hruban; Mithat Gönen; David S Klimstra; Mari Mino-Kenudson
Journal:  Ann Surg       Date:  2017-01       Impact factor: 12.969

Review 3.  Molecular alterations contributing to pancreatic cancer chemoresistance.

Authors:  Azam Rajabpour; Farzad Rajaei; Ladan Teimoori-Toolabi
Journal:  Pancreatology       Date:  2016-12-28       Impact factor: 3.996

4.  Radical surgery of oligometastatic pancreatic cancer.

Authors:  T Hackert; W Niesen; U Hinz; C Tjaden; O Strobel; A Ulrich; C W Michalski; M W Büchler
Journal:  Eur J Surg Oncol       Date:  2016-11-09       Impact factor: 4.424

Review 5.  The Pancreatic Cancer Microenvironment.

Authors:  Stephanie K Dougan
Journal:  Cancer J       Date:  2017 Nov/Dec       Impact factor: 3.360

Review 6.  Pancreatic cancer.

Authors:  Jorg Kleeff; Murray Korc; Minoti Apte; Carlo La Vecchia; Colin D Johnson; Andrew V Biankin; Rachel E Neale; Margaret Tempero; David A Tuveson; Ralph H Hruban; John P Neoptolemos
Journal:  Nat Rev Dis Primers       Date:  2016-04-21       Impact factor: 52.329

7.  Evolution and impact of lymph node dissection during pancreaticoduodenectomy for pancreatic cancer.

Authors:  Mariam F Eskander; Susanna W L de Geus; Gyulnara G Kasumova; Sing Chau Ng; Waddah Al-Refaie; Gamze Ayata; Jennifer F Tseng
Journal:  Surgery       Date:  2016-11-17       Impact factor: 3.982

8.  Downstaging in Stage IV Pancreatic Cancer: A New Population Eligible for Surgery?

Authors:  Isabella Frigerio; Paolo Regi; Alessandro Giardino; Filippo Scopelliti; Roberto Girelli; Claudio Bassi; Stefano Gobbo; Paolo Tinazzi Martini; Paola Capelli; Mirko D'Onofrio; Giuseppe Malleo; Laura Maggino; Elena Viviani; Giovanni Butturini
Journal:  Ann Surg Oncol       Date:  2017-05-17       Impact factor: 5.344

9.  Infiltrating immune cells and gene mutations in pancreatic ductal adenocarcinoma.

Authors:  W-Q Wang; L Liu; H-X Xu; C-T Wu; J-F Xiang; J Xu; C Liu; J Long; Q-X Ni; X-J Yu
Journal:  Br J Surg       Date:  2016-06-03       Impact factor: 6.939

10.  Surgical resection of a primary tumor improves survival of metastatic pancreatic cancer: a population-based study.

Authors:  Lianyuan Tao; Chunhui Yuan; Zhaolai Ma; Bin Jiang; Dianrong Xiu
Journal:  Cancer Manag Res       Date:  2017-10-03       Impact factor: 3.989

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