Literature DB >> 33009477

The actual 5-year survivors of pancreatic ductal adenocarcinoma based on real-world data.

Axel Bengtsson1, Roland Andersson1, Daniel Ansari2.   

Abstract

Survival data for pancreatic cancer are usually based on actuarial calculations and actual long-term survival rates are rarely reported. Here we use population-level data from the Surveillance, Epidemiology, and End Results program for patients with microscopically confirmed pancreatic ductal adenocarcinoma diagnosed from 1975 to 2011. A total of 84,275 patients with at least 5 years of follow-up were evaluated (follow-up cutoff date: December 31, 2016). Actual 5-year survival for pancreatic cancer increased from 0.9% in 1975 to 4.2% in 2011 in patients of all stages (p < 0.001), while in surgically resected patients, it rose from 1.5% to 17.4% (p < 0.001). In non-resected patients, the actual 5-year survival remained unchanged over the same time period (0.8% vs 0.9%; p = 0.121). Multivariable analysis of surgically resected patients diagnosed in the recent time era (2004-2011) showed that age, gender, grade, tumour size, TNM-stage and chemotherapy were significant independent predictors of actual 5-year survival, while age, grade and TNM-stage were significant independent predictors in non-resected patients. However, unfavourable clinicopathological factors did not preclude long-term survival. Collectively, our findings indicate that actual 5-year survival for pancreatic cancer is still below 5% despite improvement of survival for the subset of patients undergoing surgical resection.

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Year:  2020        PMID: 33009477      PMCID: PMC7532215          DOI: 10.1038/s41598-020-73525-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Pancreatic cancer carries the lowest survival rate of all major organ cancers and is the third leading contributor to cancer mortality in the United States[1]. Following diagnosis, survival typically ranges from 4 to 6 months[2]. Although 5-year survival rates of up to 30–58% in resected pancreatic cancer patients have been reported, the data for actual 5-year survival are more modest[3]. Several series have failed to present any 5-year survivors and there are those that suggest that the overall actual survival rate is below 0.3% when all stages are combined[4,5]. Prognostic factors for short-term survival in pancreatic cancer are well reported. However, factors predicting long-term survival are less understood. Clinical and pathological features predictive of actuarial 5-year survival may not reflect the factors specific to actual long-term survivors (LTS)[6,7]. This is due to the high early disease-related mortality seen in pancreatic cancer[8] in addition to the inflated survival present in actuarial data when loss of follow-up is present in the patient material[3]. Therefore, predictors of long-term survival in population-based data, where exclusion of patients lost to follow up is a prerequisite for the comparison of variables among subgroups, must be based on actual rather than actuarial data. The disparities in patient characteristics between clinical trials and registries presenting real world data (RWD) are reflected in the survival of pancreatic cancer, with clinical trial patients having markedly improved survival compared to national database populations[9]. Thus, when describing characteristics of patient subgroups such as LTS in terms of predictors, contemporary population-based RWD are better able to make generalisations pertaining to the real-world effect of modern treatment strategies[10,11]. Nearly all previous studies of actual LTS (≥ 5 years) in pancreatic cancer have been single-institution series and describe a limited number of patients. Here, we use data from the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program in the era following the publication of the final results of the ESPAC 1-trial[12] of adjuvant chemotherapy in pancreatic cancer. The aim of the present study was to analyse trends in actual long-term survival of pancreatic cancer and to identify predictors of long-term survival in the recent time era.

Results

Patient characteristics

Data were obtained from 181,392 patients with pancreatic cancer registered in the SEER database between 1975 and 2011. Some 74,367 patients lacking histological or cytological confirmation of the tumour and 22,750 patients with no information on cause of death or vital status or incomplete follow-up time were excluded. The final study population comprised 84,275 patients with pancreatic ductal adenocarcinoma, out of whom 38,709 patients were diagnosed between 2004 and 2011. Some 2440 patients (2.9%) of our total study population had a survival exceeding 5 years. The characteristics of the study population are described in Table 1. Median age at diagnosis was 68 years and 48.7% were female. Some 7.1% of patients had a localized tumour, 31.2% had regional spread, 56.0% had distant disease and 5.7% were unstaged. Some 18.5% of patients underwent surgical resection, 46.1% received chemotherapy and 20.7% received radiation.
Table 1

Characteristics of 84275 patients with microscopically confirmed pancreatic ductal adenocarcinoma diagnosed from 1975 to 2011.

VariablesOverall (N = 84,275)
Age (years)68 (59–76)
Female gender41,065 (48.7%)
SEER historic stage Aa
Localized5967 (7.1%)
Regional26,318 (31.2%)
Distant47,228 (56.0%)
Unstaged4762 (5.7%)
Surgical resection
Yes15,618 (18.5%)
No66,269 (78.6%)
Unknown2388 (2.8%)
Chemotherapy
Yes38,829 (46.1%)
Nob45,446 (53.9%)
Radiation
Yes17,428 (20.7%)
Noc66,057 (78.4%)
Unknown790 (0.9%)

aSEER historic stage A is presented here because AJCC stage was not available for the older time period.

bNo evidence of chemotherapy was found in the medical records examined.

cNo evidence of radiation was found in the medical records examined.

Characteristics of 84275 patients with microscopically confirmed pancreatic ductal adenocarcinoma diagnosed from 1975 to 2011. aSEER historic stage A is presented here because AJCC stage was not available for the older time period. bNo evidence of chemotherapy was found in the medical records examined. cNo evidence of radiation was found in the medical records examined. Demographic and clinical data from the LTS were compared with those of the STS for the recent time era (2004–2011), as shown in Table 2. LTS were significantly younger at diagnosis and were more often female. Tumours of LTS were more likely to be smaller in size. However, unfavourable clinicopathological factors did not preclude long-term survival. The majority of LTS received surgical resection (82.8%), while only 17.2% underwent resection among STS. Chemotherapy and radiation were also administered more frequently in LTS.
Table 2

Comparison of long-term and short-term survivors of pancreatic ductal adenocarcinoma who were diagnosed in the recent time era (2004 to 2011).

VariablesNShort-term survivors (< 5 years)N = 37,235Long-term survivors (≥ 5 years)N = 1473p value
Age (years)38,70867 (59–76)65 (57–72) < 0.001
Female gender38,70818,014 (48.4%)768 (52.1%)0.005
Tumour location38,708 < 0.001
Head19,083 (51.3%)1023 (69.5%)
Body4473 (12.0%)104 (7.1%)
Tail4619 (12.4%)146 (9.9%)
Othera9060 (24.3%)200 (13.6%)
Grade15,061 < 0.001
Well differentiated1440 (10.3%)215 (18.8%)
Moderately differentiated6079 (43.7%)601 (52.5%)
Poorly differentiated/anaplastic6397 (46.0%)329 (28.7%)
Tumour size (cm)28,7883.8 (3–5)2.8 (2–3.9) < 0.001
AJCC stage 7th edition35,943 < 0.001
Stage I1690 (4.9%)328 (23.7%)
Stage II9320 (27.0%)876 (63.2%)
Stage III3708 (10.7%)72 (5.2%)
Stage IV19,840 (57.4%)109 (7.9%)
T stage29,949 < 0.001
T1882 (3.1%)185 (13.4%)
T26157 (21.5%)272 (19.8%)
T313,902 (48.7%)828 (60.2%)
T47632 (26.7%)91 (6.6%)
N stage30,8930.333
N016,987 (57.6%)821 (58.9%)
N112,512 (42.4%)573 (41.1%)
M stage37,188 < 0.001
M015,919 (44.5%)1320 (92.4%)
M119,840 (55.5%)109 (7.6%)
Surgical resection38,3366358 (17.2%)1206 (82.8%) < 0.001
Chemotherapyb38,70820,034 (53.8%)1037 (70.4%) < 0.001
Radiationc38,4587095 (19.2%)615 (42.2%) < 0.001

N number of non-missing values.

aOther sites include C25.3, pancreatic duct; C25.7, other specified parts of pancreas; C25.8, overlapping lesion of pancreas; C25.9, pancreas, not otherwise specified.

bChemotherapy data classified as “yes” or “no/unknown – no evidence of chemotherapy was found in the medical records examined”.

cRadiation data classified as “yes” or “no/unknown – no evidence of radiation was found in the medical records examined”.

Comparison of long-term and short-term survivors of pancreatic ductal adenocarcinoma who were diagnosed in the recent time era (2004 to 2011). N number of non-missing values. aOther sites include C25.3, pancreatic duct; C25.7, other specified parts of pancreas; C25.8, overlapping lesion of pancreas; C25.9, pancreas, not otherwise specified. bChemotherapy data classified as “yes” or “no/unknown – no evidence of chemotherapy was found in the medical records examined”. cRadiation data classified as “yes” or “no/unknown – no evidence of radiation was found in the medical records examined”.

Univariable and multivariable analysis of factors associated with LTS

We examined factors associated with LTS in both univariable and multivariable logistic regression (Table 3). When considering patients of all stages, age, gender, T-stage, M-stage, tumour size, histological grade, surgical resection and chemotherapy were identified as independent predictors of LTS. Subgroup analyses were performed to determine whether the predictive factors were different between resected and non-resected patients. For surgically resected patients, age, gender, TNM-stage, tumour size, grade, and chemotherapy remained as significant independent predictors of LTS. In non-resected patients, only age, TNM-stage and grade were independent predictors of LTS.
Table 3

Univariable and multivariable logistic regression analyses of factors associated with long-term survivors (≥ 5 years).

UnivariableMultivariable
Odds ratio (95% CI)p valueOdds ratio (95% CI)p value
All patients (N = 38,708)
Age (years)0.977 (0.972–0.981) < 0.0010.984 (0.979–0.989) < 0.001
Female gender1.16 (1.05–1.29)0.0051.13 (1.01–1.27)0.031
Tumour location
 Head1 (reference)
 Body0.434 (0.354–0.532) < 0.001
 Tail0.590 (0.494–0.703) < 0.001
 Other0.412 (0.353–0.480) < 0.001
Grade
 Well differentiated1 (reference)1 (reference)
 Moderately differentiated0.657 (0.561–0.770) < 0.0010.557 (0.464–0.667) < 0.001
 Poorly differentiated/anaplastic0.319 (0.271–0.376) < 0.0010.382 (0.318–0.459) < 0.001
Tumour size (cm)0.637 (0.609–0.666) < 0.0010.878 (0.837–0.920) < 0.001
T stage
 T11 (reference)1 (reference)
 T20.210 (0.172–0.257) < 0.0010.560 (0.431–0.726) < 0.001
 T30.282 (0.238–0.336) < 0.0010.347 (0.275–0.438) < 0.001
 T40.061 (0.047–0.079) < 0.0010.247 (0.177–0.344) < 0.001
N stage0.972 (0.872–1.08)0.613
M stage0.075 (0.062–0.091) < 0.0010.320 (0.256–0.400) < 0.001
Surgical resection23.2 (20.2–26.6) < 0.00110.8 (9.13–12.8) < 0.001
Chemotherapy2.04 (1.82–2.29) < 0.0011.45 (1.27–1.64) < 0.001
Radiation3.06 (2.74–3.40) < 0.001
Surgically resected patients (N = 7564)
Age (years)0.988 (0.983–0.994) < 0.0010.988 (0.982–0.994) < 0.001
Female gender1.19 (1.05–1.34)0.0071.18 (1.03–1.34)0.014
Tumour location
 Head1 (reference)
 Body1.33 (1.04–1.70)0.025
 Tail1.26 (1.02–1.55)0.030
 Other0.969 (0.791–1.19)0.762
Grade
 Well differentiated1 (reference)1 (reference)
 Moderately differentiated0.520 (0.425–0.635) < 0.0010.590 (0.474–0.734) < 0.001
 Poorly differentiated/anaplastic0.333 (0.270–0.411) < 0.0010.431 (0.343–0.542) < 0.001
Tumour size (cm)0.753 (0.715–0.792) < 0.0010.857 (0.813–0.904) < 0.001
T stage
 T11 (reference)1 (reference)
 T20.439 (0.343–0.561) < 0.0010.680 (0.515–0.897)0.006
 T30.252 (0.205–0.311) < 0.0010.467 (0.367–0.594) < 0.001
 T40.092 (0.059–0.141) < 0.0010.176 (0.111–0.280) < 0.001
N stage0.348 (0.306–0.396) < 0.0010.384 (0.335–0.440) < 0.001
M stage0.189 (0.121–0.295) < 0.0010.236 (0.149–0.371) < 0.001
Chemotherapy1.46 (1.27–1.67) < 0.0011.68 (1.44–1.95) < 0.001
Radiation1.40 (1.23–1.58) < 0.001
Non-resected patients (N = 30,772)
Age (years)0.975 (0.965–0.985) < 0.0010.967 (0.957–0.977) < 0.001
Female gender1.02 (0.795–1.31)0.881
Tumour location
 Head1 (reference)
 Body0.446 (0.273–0.729)0.001
 Tail0.475 (0.294–0.768)0.002
 Other0.895 (0.673–1.19)0.444
Grade
 Well differentiated1 (reference)1 (reference)
 Moderately differentiated0.491 (0.342–0.704) < 0.0010.540 (0.376–0.776)0.001
 Poorly differentiated/anaplastic0.272 (0.181–0.409) < 0.0010.332 (0.220–0.499) < 0.001
Tumour size (cm)0.889 (0.814–0.970)0.009
T stage
 T11 (reference)1 (reference)
 T20.395 (0.210–0.744)0.0040.416 (0.217–0.797)0.009
 T30.350 (0.188–0.653)0.0010.311 (0.164–0.591)0.001
 T40.382 (0.206–0.710)0.0030.300 (0.157–0.573) < 0.001
N stage0.665 (0.490–0.902)0.0090.701 (0.512–0.960)0.027
M stage0.371 (0.283–0.486) < 0.0010.358 (0.269–0.477) < 0.001
Chemotherapy1.52 (1.18–1.97)0.001
Radiation1.82 (1.36–2.43) < 0.001

N, number of non-missing values.

Univariable and multivariable logistic regression analyses of factors associated with long-term survivors (≥ 5 years). N, number of non-missing values.

Trends in actual survival and distribution of tumour stages

Actual 5-year survival by AJCC-stage for patients diagnosed in the recent era (2004–2011) is presented in Table 4. Actual 5-year survival was 31.7% for IA tumours, and decreased to 11.8% in stage IB patients, while stage IV tumours showed an actual 5-year survival of 0.5%. Figure 1 presents the proportions of SEER summary stage A from 1975 to 2011 in patients of all stages. The proportion of patients with localized disease was 5.4% in 1975 compared to 7.0% in 2011 (p < 0.001).
Table 4

Actual 5-year survival by AJCC stage for patients diagnosed in the recent time era (2004 to 2011), N = 35,628a.

StageProportion (%)Actual 5-year survival (%)*
AJCC stage 7th edition
Stage IA1.331.7
Stage IB4.411.8
Stage IIA11.59.0
Stage IIB16.38.7
Stage III10.61.9
Stage IV56.00.5

aNumber of patients with non-missing values on AJCC stage (excluding 315 patients with stage II-NOS and 2765 patients with unknown stage).

*Follow-up cutoff date: December 31, 2016.

Figure 1

Distribution of pancreatic cancer cases by stage at diagnosis from 1975 to 2011. SEER Historic Stage A is presented to ensure uniform staging throughout the study period.

Actual 5-year survival by AJCC stage for patients diagnosed in the recent time era (2004 to 2011), N = 35,628a. aNumber of patients with non-missing values on AJCC stage (excluding 315 patients with stage II-NOS and 2765 patients with unknown stage). *Follow-up cutoff date: December 31, 2016. Distribution of pancreatic cancer cases by stage at diagnosis from 1975 to 2011. SEER Historic Stage A is presented to ensure uniform staging throughout the study period. Figure 2 depicts the trend analysis of actual 5-year survival in patients of all stages and the subgroups of surgically resected and non-resected patients from 1975 to 2011. The actual 5-year survival for all stages in 1975 was 0.9% and rose to 4.2% in 2011 (p < 0.001). Surgically resected patients saw an increase in actual 5-year survival from 1.5% in 1975 to 17.4% in 2011 (p < 0.001). Some 0.8% of non-resected patients passed the 5-year mark in 1975 while 0.9% did so in 2011 (p = 0.121).
Figure 2

Trends in the actual 5-year survival for 84,275 patients with pancreatic ductal adenocarcinoma diagnosed from 1975 to 2011. Follow-up cutoff date: December 31, 2016.

Trends in the actual 5-year survival for 84,275 patients with pancreatic ductal adenocarcinoma diagnosed from 1975 to 2011. Follow-up cutoff date: December 31, 2016.

Discussion

To our knowledge, this study represents the largest evaluation of LTS in pancreatic ductal adenocarcinoma in the modern era. As stated earlier, most previous studies of actual survival have been single centre reports with a limited number of LTS for analysis[6-8,13-24]. A few population-based studies of survival trends in pancreatic cancer have been published[25-28]. Still, most of these studies make use of older data and do not investigate actual survivors of the disease further. Kardosh et al[27] was the only population-based study investigating predictors of actual survival, including 39,460 patients in the California Cancer Registry from 1988 to 2009. However, this study evaluated prognostic factors in a timeframe overlapping the pre- and post-ESPAC-1-era (2004–present). To achieve comparability as well as generalisability of our findings, we set out to analyse the largest recent dataset of actual LTS. In this study, we exclusively evaluated patients with microscopically confirmed pancreatic adenocarcinoma in order to provide reliable survival data. We found lower age, female gender, histologic grade, tumour size, T-stage, M-stage, surgical resection and receipt of chemotherapy to be independent prognostic factors of long-term survival. In surgically resected patients, nodal status was also an independent factor. Survival plots demonstrated a marked increase in actual survival for surgically resected patients, from 1.5% in 1975 to 17.4% in 2011. Patients of all stages showed an actual survival of just 4.2% in 2011, and actual survival without surgical treatment remained below the 1% mark, showing no improving trend since the start of data collection. Statistically determined factors may not completely predict the patients that eventually achieve long-term survival[14]. In our cohort, disparities between actual patient characteristics and the prognostic modelling were found. While the LTS generally had more favourable clinicopathological features, the presence of aggressive characteristics (e.g. poor/anaplastic differentiation, late stage disease) or lack of surgical resection did not preclude long-term survival. The presence of a high number of patients with favourable prognostic factors in the LTS cohorts is believed to indicate inherent differences in biological tumour behavior[14,18,24,27]. Attempts have been made at deciphering this difference through molecular studies. Molin et al[29] conducted whole-exome sequencing of patients who survived ≥ 10 years. KRAS mutations were identified in 94% from LTS, while TP53, SMAD4, and CDKN2A mutations were found in 69%, 26%, and 17%, respectively. RNF43 mutations were identified in 11%. Their data could not demonstrate any difference in somatic mutations in carcinomas from LTS compared to available data from unselected pancreatic cancer patients. In another study, Balachandran et al[30] conducted extensive immunoprofiling of patients with long-term survival (overall survival > 3 years from surgery; median survival 6 years) and patients with short-term survival (overall survival < 1 year from surgery; median survival 0.8 years). They found that long-term survivors harbour neoantigens with unique qualities as T-cell targets in pancreatic cancer and propose a role for immunotherapy in pancreatic cancer based on directed neoantigen targeting. As expected, stage and surgery had the strongest predictive capabilities among all our measured variables. Major improvements have been made in the surgical management of pancreatic cancer over the past decades due to advances in surgical technique and perioperative care. Operative mortality associated with pancreatoduodenectomy has decreased from around 25% in the 1970s to under 2% at high-volume centres in recent series, and the focus has now shifted from surviving the operation to surviving the cancer[31]. Importantly, the introduction of chemotherapy has come to greatly improve median survival and actuarial 5-year survival rates following surgical resection[12]. However, the impact of chemotherapy on actual LTS remains less clear. We found that chemotherapy was independently associated with LTS. Several single-centre studies have reported actual 5-year survival among resected patients in the range of 8.1–30.7%[6-8,13-24], which is in line with the current study, but none of these studies could statistically confirm the independent clinical benefit of chemotherapy for LTS as shown by us. Furthermore, the relatively stable proportion of localized disease over time and the dismal long-term survival rate (4.2%) for the whole cohort in our study underscore the urgent need for improvements in diagnostic procedures alongside improvement in oncological therapy. A predominant proportion of patients progress asymptomatically, which calls for efforts to bring about early detection of sporadic pancreatic cancer. It has been proposed that a strategy involving an increase in the percentage of individuals diagnosed with IA cancer could, with the current treatment arsenal, greatly improve survival and the chance for cure[2]. As we demonstrated in our cohort, the greatest reduction in actual survival exists between AJCC stages IA and IB. The development of effective early detection programs has been conceptualized[32] and involves the identification of novel and existing biomarkers of pancreatic cancer for use in a high-risk cohort. Such development requires strategic collaboration between academia, industry and government. This study has several limitations inherent to the use of a multi-institutional registry. The SEER registry conducts quality control activities regularly to ensure data accuracy and consistency. However, the SEER registry may underestimate treatments, such as chemotherapy and radiotherapy, due to outpatient treatment, or patients leaving the registry catchment area for treatments[33]. We included only microscopically confirmed cases, a criterion that improves reliability of data, but may have contributed to the high resection rate (18.5%) observed in our patient material. Furthermore, the registry also contains missing values. We handled missing values by multiple imputation technique, which is a suitable method that reduces selection bias and improves generalisability, but necessitates caution when interpreting the results. In conclusion, our study identified predictive factors for actual long-term survival in pancreatic ductal adenocarcinoma using population-based real-world data. Actual survival has only marginally improved over the past decades and patients of all stages still retain a 5-year survival below 5%. The greatest reduction of long-term survival is observed from stages IA to IB. As the proportion of patients with localized stage disease has remained exceedingly low over time, this calls for further strategic developments of early detection tools. Furthermore, given the poor survival rate even after potentially curative surgery, novel oncological treatments need to be developed to address occult, systemic, micrometastatic disease. The future therapeutic developments of pancreatic cancer may be aided by better molecular understanding of the disease as a whole, but also by increased knowledge obtained by studying LTS.

Methods

Study population and selection criteria

The SEER database is a population-based cancer registry that assembles data related to demographics, incidence and survival of cancer patients in the United States. Data were obtained from all cancer registries participating in the SEER program using SEER*Stat version 8.3.6 (November 2018 data submission). The study was approved by the Ethics Committee for Clinical Research at Lund University (Ref 2016/100) and conducted in accordance with the STROBE guidelines[34]. All patients with pancreatic cancer registered in the SEER database between 1975 and 2011 were included in the study group. Patients were identified on the basis of the International Classification of Diseases for Oncology, third edition (ICD-O-3) for tumours of the exocrine pancreas: C25.0, C25.1, C25.2, C25.3, C25.7, C25.8 and C25.9. Only cases with microscopically confirmed infiltrating pancreatic ductal adenocarcinoma (ICD-O-3 histology codes 8140/3 and 8500/3 respectively) were selected. Patients with missing values on duration of follow-up or cause of death were excluded. The SEER historic stage A was used in the description of the overall population in order to present a uniform classification, as the American Joint Committee on Cancer (AJCC) staging system was not available for older time periods. The latest date of follow-up was on December 31, 2016. Patients deceased from non-cancerous causes within 5 years of diagnosis were excluded. Information was available on age, gender, calendar year of diagnosis, tumour location, histological grade, tumour size, stage (SEER historic tumour stage A and AJCC/TNM staging), surgical resection, chemotherapy, radiotherapy, survival time and vital status. The primary endpoint was actual 5-year survival.

Statistical analysis

We compared clinicopathological variables between long-term survivors (LTS; actual survival ≥ 5 years) and short-term survivors (STS; actual survival < 5 years) using Mann Whitney U test for continuous variables and Pearson’s Chi-square (χ2) test for categorical variables. A trend analysis of actual 5-year survival by year in surgically resected, non-resected, and all patient stages was conducted. Trend curves were tested for significance using linear-by-linear association. Factors associated with actual 5-year survival were assessed with logistic regression. Any variable from univariable logistic regression with a p value < 0.25 was selected as a candidate for the multivariable analysis. In the iterative process of variable selection, covariates were removed from the model if they were nonsignificant and not a confounder, as described by Hosmer–Lemeshow[35], resulting in a main effect model. Missing values were imputed using the multiple imputation with chained equations technique, as described by White and colleagues[36]. The imputation method was predictive mean matching. The number of iterations for each chain was ten, as was the number of imputed data sets. Statistical analyses were performed using IBM SPSS version 26 and Stata/MP 14.2.

Informed consent

The SEER registry contains strictly de-identified patient data. The Ethics Committee for Clinical Research at Lund University (Ref 2016/100), Sweden, approved the study protocol and waived the need for written informed consent from the participants.
  34 in total

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5.  The epidemiology of pancreatic cancer in the United States: changes below the surface.

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6.  Very Long-term Survival Following Resection for Pancreatic Cancer Is Not Explained by Commonly Mutated Genes: Results of Whole-Exome Sequencing Analysis.

Authors:  Marco Dal Molin; Ming Zhang; Roeland F de Wilde; Niki A Ottenhof; Neda Rezaee; Christopher L Wolfgang; Amanda Blackford; Bert Vogelstein; Kenneth W Kinzler; Nickolas Papadopoulos; Ralph H Hruban; Anirban Maitra; Laura D Wood
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7.  Multiple imputation using chained equations: Issues and guidance for practice.

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8.  A randomized trial of chemoradiotherapy and chemotherapy after resection of pancreatic cancer.

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Journal:  N Engl J Med       Date:  2004-03-18       Impact factor: 91.245

9.  Clinical predictive factors of long-term survival after curative resection of pancreatic cancer: a retrospective study.

Authors:  Yutaka Nakano; Minoru Kitago; Masahiro Shinoda; Yuta Abe; Hiroshi Yagi; Taizo Hibi; Ayano Takeuchi; Koichi Aiura; Osamu Itano; Yuko Kitagawa
Journal:  Cancer Med       Date:  2017-09-18       Impact factor: 4.452

10.  Early Detection of Pancreatic Cancer-a Defined Future Using Lessons From Other Cancers: A White Paper.

Authors:  Barbara J Kenner; Suresh T Chari; Anirban Maitra; Sudhir Srivastava; Deborah F Cleeter; Vay Liang W Go; Laura J Rothschild; Ann E Goldberg
Journal:  Pancreas       Date:  2016-09       Impact factor: 3.327

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  47 in total

1.  Prognostic role of IRS-4 in the survival of patients with pancreatic cancer.

Authors:  Miguel A Ortega; Leonel Pekarek; Cielo Garcia-Montero; Oscar Fraile-Martinez; Miguel A Saez; Angel Asúnsolo; Miguel A Alvarez-Mon; Jorge Monserrat; Santiago Coca; M Val Toledo-Lobo; Natalio García-Honduvilla; Agustin Albillos; Julia Buján; Melchor Alvarez-Mon; Luis G Guijarro
Journal:  Histol Histopathol       Date:  2022-02-09       Impact factor: 2.303

2.  A pan-cancer analysis of GINS complex subunit 4 to identify its potential role as a biomarker in multiple human cancers.

Authors:  Muhammad Usman; Mohammad K Okla; Hafiz Muhammad Asif; Gehad AbdElgayed; Fatima Muccee; Shakira Ghazanfar; Mukhtiar Ahmad; Muhammad Junaid Iqbal; Aamina Murad Sahar; Ghania Khaliq; Rabbia Shoaib; Hira Zaheer; Yasir Hameed
Journal:  Am J Cancer Res       Date:  2022-03-15       Impact factor: 6.166

3.  Correlation of transcriptional subtypes with a validated CT radiomics score in resectable pancreatic ductal adenocarcinoma.

Authors:  Emmanuel Salinas-Miranda; Gerard M Healy; Barbara Grünwald; Rahi Jain; Dominik Deniffel; Grainne M O'Kane; Robert Grant; Julie Wilson; Jennifer Knox; Steven Gallinger; Sandra Fischer; Rama Khokha; Masoom A Haider
Journal:  Eur Radiol       Date:  2022-08-25       Impact factor: 7.034

4.  Plasma Exosome-Derived microRNAs as Potential Diagnostic and Prognostic Biomarkers in Brazilian Pancreatic Cancer Patients.

Authors:  Anelis Maria Marin; Sibelle Botogosque Mattar; Rafaela Ferreira Amatuzzi; Roger Chammas; Miyuki Uno; Dalila Luciola Zanette; Mateus Nóbrega Aoki
Journal:  Biomolecules       Date:  2022-05-31

5.  Impact of care fragmentation on the outcomes of patients receiving neoadjuvant and adjuvant therapy for pancreatic adenocarcinoma.

Authors:  Zachary J Brown; Hanna E Labiner; Chengli Shen; Aslam Ejaz; Timothy M Pawlik; Jordan M Cloyd
Journal:  J Surg Oncol       Date:  2021-10-02       Impact factor: 2.885

6.  The limits of molecular signatures for pancreatic ductal adenocarcinoma subtyping.

Authors:  Manuela Lautizi; Jan Baumbach; Wilko Weichert; Katja Steiger; Markus List; Nicole Pfarr; Tim Kacprowski
Journal:  NAR Cancer       Date:  2022-10-17

7.  Acute Pancreatitis as the Initial Presentation of Pancreatic Adenocarcinoma does not Impact Short- and Long-term Outcomes of Curative Intent Surgery: A Study of the French Surgical Association.

Authors:  Renato Micelli Lupinacci; Matthieu Faron; Philippe Bachellier; Alain Sauvanet; Alain Beauchet; Yves-Patrice Le Treut; Mustapha Adham; Jean-Yves Mabrut; Jean-Robert Delpero; François Paye
Journal:  World J Surg       Date:  2021-06-30       Impact factor: 3.352

8.  Survival in resectable pancreatic ductal adenocarcinoma with para-aortic lymph node dissection: A retrospective study in Vietnamese population.

Authors:  Lan Thi Nguyen; Hung Van Nguyen; Dang Hai Do; Khiem Thanh Nguyen; Anh Tuan Do; Ha Hoang Pham; Chinh Duc Nguyen
Journal:  Ann Med Surg (Lond)       Date:  2021-05-01

Review 9.  Pancreatic Ductal Adenocarcinoma: The Dawn of the Era of Nuclear Medicine?

Authors:  Christopher Montemagno; Shamir Cassim; Nicolas De Leiris; Jérôme Durivault; Marc Faraggi; Gilles Pagès
Journal:  Int J Mol Sci       Date:  2021-06-15       Impact factor: 5.923

10.  Differently PEGylated Polymer Nanoparticles for Pancreatic Cancer Delivery: Using a Novel Near-Infrared Emissive and Biodegradable Polymer as the Fluorescence Tracer.

Authors:  Huazhong Cai; Yanxia Chen; Liusheng Xu; Yingping Zou; Xiaoliang Zhou; Guoxin Liang; Dongqing Wang; Zhimin Tao
Journal:  Front Bioeng Biotechnol       Date:  2021-06-29
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