Skip to main content
Erschienen in: BMC Cancer 1/2018

Open Access 01.12.2018 | Research article

Impact of tumor size on survival of patients with resected pancreatic ductal adenocarcinoma: a systematic review and meta-analysis

verfasst von: Debang Li, Bin Hu, Yanming Zhou, Tao Wan, Xiaoying Si

Erschienen in: BMC Cancer | Ausgabe 1/2018

Abstract

Background

The impact of tumor size on prognosis for surgically treated patients with pancreatic ductal adenocarcinoma (PDAC) remains controversial. A systematic review and meta-analysis was performed to evaluate this issue.

Methods

Relevant studies published from January 2000 to June 2017 were identified through EMBASE and PUBMED. Data were pooled for meta-analysis using Review Manager 5.3.

Results

Twenty eight observational studies involving a total of 23,945 patients were included. Tumors > 2 cm was associated with poor prognosis: the pooled hazard ratio (HR) estimate for overall survival was 1.52 (95% confidence interval [CI]: 1.41–1.64; P < 0.0001) by univariate analysis and 1.61 (95% CI: 1.35–1.91; P < 0.0001) by multivariate analysis; the pooled HR estimate for disease-free survival was 1.74 (95% CI: 1.46–2.07; P < 0.0001) by univariate analysis and 1.38 (95% CI: 1.12–1.68; P = 0.002) by multivariate analysis. When compared with patients with tumors ≤2 cm, those with the tumors > 2 cm had higher incidences of lymph node metastasis, poor tumor differentiation, lymph vessel invasion, vascular invasion, perineural invasion, and positive intraoperative peritoneal cytology.

Conclusion

These data demonstrate that PDAC size > 2 cm is an independent predictive factor for poor prognosis after surgical resection and associated with more aggressive tumor biology.
Hinweise
Debang Li and Bin Hu contributed equally to this work.
Abkürzungen
95% CI
95% confidence interval
DFS
Disease-free survival
DM
Diabetes mellitus
HR
Hazard ratio
OR
Odds ratio
OS
Overall survival
PDAC
Pancreatic ductal adenocarcinoma
PRISMA
Preferred reporting items for systematic reviews and meta-analyses
WMD
Weighted mean difference

Background

Pancreatic ductal adenocarcinoma (PDAC) represents 90% of pancreatic cancers and is the fifth leading cause of cancer-related death in Western countries. Complete surgical resection is the only option that can offer hope of prolonged survival; however, the long-term survival remains unsatisfactory with a 5-year survival rate around 20% because of the high frequency of postoperative disease recurrence [1]. Therefore, it is necessary to identify prognostic factors to help stratify patients for appropriate management categories. Tumor specific factors, such as the margin status, histological differentiation, lymph node metastasis, and vascular invasion, have been shown to predict poor clinical outcomes [2, 3]. Tumor size is also a significant prognostic factor and is included in tumor node metastasis system (TNM) classification. According to the American Joint Committee on Cancer (AJCC) staging system for PDAC, the optimum tumor size cutoff value distinguishing T1 and T2 disease is 2 cm [4]. Despite the availability of many publications, the impact of PDAC size on prognosis remains controversial [5, 6]. A systematic review and meta-analysis of the literature was therefore undertaken to investigate this issue.

Methods

Study selection

The present study was performed by following the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement [7]. An electronic search of the PUBMED and EMBASE databases from January 2000 to June 2017 were performed to identify relevant citations. The following keywords were used: “pancreatic cancer”, “pancreatic ductal adenocarcinoma”, and “prognosis”. The reference lists of all retrieved articles were manually reviewed in order to identify additional studies.

Criteria for inclusion and exclusion

All original full-text articles reporting the impact of tumor size using a cut-off of 2 cm on overall survival (OS) or disease-free survival (DFS) in patients with PDAC after resection were considered eligible. Abstracts, letters, editorials and expert opinions, reviews without original data, case reports, non-human studies, non-English language studies, studies using values of cut-off other than 2 cm for tumor size, and studies that included other periampullary carcinomas (ampullary, duodenal, and biliary) in the same study cohort without separate assessments were excluded.

Data extraction and methodological assessment

All selected studies were evaluated independently by two investigators (ZY and SX) for data extraction and quality assessment. Disagreement in the evaluation of studies was resolved by discussion and consensus. Parameters extracted included first author, study origin, year of publication, study design, type of resection, pathology, available long-term outcomes, and univariate and multivariate hazard ratios (HR) for OS and DFS.
The level of evidence of each study was categorized according to the Evidence-Based Medicine Levels of Evidence [8].

Statistical methods

Data for OS and DFS were analyzed using HR with 95% confidence intervals (CI), and a HR >1 represents a worse outcome. Between-study heterogeneity was assessed with I2 statistics, and a value of > 50% was considered significant heterogeneity. A funnel plot based on the OS outcome was conducted to evaluate the presence of publication bias. The differences in clinicopathologic features were estimated as a pooled odds ratio (OR) with 95% CI. All analyses were performed using the Review Manager 5.3 (Cochrane Collaboration, Software Update, Oxford). A value of P < 0.05 was considered statistically significant.

Results

Selection of studies

A total of 28 studies comprising 23,945 individuals were identified for inclusion (Fig. 1). The summary characteristics of the included studies are shown in Table 1 [5, 6, 934]. There were no randomised controlled trials (RCT). All these studies were observational in nature and classified as level-4 evidence. There were 18 single-center [5, 9, 10, 12, 13, 15, 17, 1921, 2328, 32, 33] and 10 multicenter studies [6, 11, 14, 16, 18, 22, 2931, 34].
Table 1
The main characteristics of included studies
Reference
Year
Country
N
TS > 2.0 cm, n (%)
TRPD/DP/TP
R0 R, n (%)
LNM, n (%)
PNI, n (%)
PTD, n (%)
MOS (Months)
5-yr OS (%)
Meyer [9]
2000
Germany
91
67/86 (77.9)
−/−/−
93 (100)
66 (72.5)
41 (45.1)
14 (16.3)
16.8
10.5
Ahmad [10]
2001
USA
116
70/94 (74.4)
−/−/−
88 (75.8)
73 (62.9)
61 (52.5)
16
19
Kim [11]
2006
USA
70
50 (71.4)
68/2/0
40 (57.1)
46 (65.7)
26 (37.1)
21
19
Smith [12]
2008
UK
109
81 (74.3)
109/0/0
80 (73.3)
88 (80.7)
36 (33.0)
13.9
Chiang [13]
2009
Taiwan,
159
123 (77.3)
−/−/−
114 (71.6)
95 (59.7)
32 (20.1)
12.5
Chang [14]
2009
Australia
365
281 (76.9)
295/70/0
233 (63.8)
217 (59.5)
256 (70.1)
98 (26.8)
16.8
11.4
Kato [15]
2009
Japan
176
148 (84.1)
176/0/0
115 (65.3)
123 (69.8)
145 (82.3)
11 (6.2)
9.9
12.3
Massucco [16]
2009
Italy
77
60 (77.9)
63/0/14
59 (76.6)
59 (76.6)
58 (75.3)
50 (64.9)
16.5
Bhatti [17]
2010
UK
84
78 (92.8)
84/0/0
49 (58.3)
56 (66.6)
24 (28.5)
22
13
de Jong [5]
2011
USA
1697
1279 (75.4)
1640/0/57
1213 (71.8)
1280 (75.4)
1126 (66.3)
649 (38.2)
18.3
21.2
Cannon [18]
2012
USA
245
213 (86.9)
220/20/0
184 (75.1)
72 (29.4)
18.3
Petermann [19]
2013
Switzerland
86
76 (88.3)
86/0/0
89 (68.6)
72 (83.7)
16.8
Yamada [20]
2013
Japan
390
312 (80.0)
288/71/31
277 (71.0)
Buc [21]
2014
France,
306
242/45/19
195 (72.5)
214 (71.3)
212 (83.8)
34
32
Elberm [22]
2015
UK
1070
1070/0/0
482 (45.9)
757 (70.7)
18.5
Iwagami [23]
2015
Japan
39
27 (69.2)
−/−/−
14 (35.9)
34 (87.2)
3 (7.6)
Liu [24]
2015
USA
411
242 (58.9)
411/0/0
379 (92.2)
223 (54.3%)
150 (36.5)
Okumura [25]
2015
Japan
230
155/66/9
190 (82.6)
135 (58.7).
33 (14.3)
Yamamoto [26]
2015
Japan
195
156 (80.0)
123/61/11
138 (70.7)
145 (74.3)
108 (55.3)
27.1
34.5
Lin [27]
2016
China
233
189 (81.1)
233/0/0
196 (84.1)
161 (69.1)
147 (63.1)
19.0
Abe [28]
2017
Japan
355
273 (76.9)
215/98/22
282 (79.4)
223 (62.8)
282 (79.4)
137 (38.5)
Ansari [29]
2017
USA
15,398
12,725 (82.6)
−/−/−
16.1
Chikamoto [30]
2017
Japan
138
66 (47.8)
138/0/0
46 (33.3)
10 (7.2)
Marchegiani [6]
2017
Italy, USA
1507
1183 (78.5)
1179/268/59
840 (55.7)
1149 (76.2)
1376 (91.3)
468 (31.1)
26.0
Kurata [31]
2017
Japan
90
41 (45.6)
−/−/−
31 (34.4)
Le [32]
2017
USA
93
70/86 (81.3)
93/0/0
78 (84.7)
50 (53.8)
40.6
Watanabe [33]
2017
Japan
122
98 (87.5)
73/47/2
122 (100)
62 (55.3)
6 (4.9)
21
27
Yu [34]
2017
China
93
32 (34.4)
−/−/−
89 (96.6)
49 (52.6)
52 (55.9)
36 (38.7)
UK United Kingdom, PNI peri-neural invasion, TS tumor size, LNM lymph node metastasis, PTD poor tumor differentiation, MOS median overall survival, TR type of resection, PD pancreaticoduodenectomy, DP distal pancreatectomy, TP total pancreatectomy, R0 R R0 resection

Meta-analysis

The impact of PDAC size on OS was evaluated in 26 studies [5, 6, 913, 1518, 2034], among which univariate HR was reported in 14 [5, 6, 10, 11, 2125, 28, 30, 31, 34] and multivariate HR was reported in 20 [5, 6, 12, 1418, 20, 22, 23, 2529, 3133]. Both univariate and multivariate HR were reported in 8 studies [5, 6, 20, 22, 23, 25, 28, 31]. The pooled HR estimate for OS was 1.52 (95% CI: 1.41–1.64; P < 0.0001) by univariate analysis and 1.61 (95% CI: 1.35–1.91; P < 0.0001) by multivariate analysis (Figs. 2-3). In sensitivity analysis, exclusion of any single study from the analysis did not alter the results significantly (data not shown). Also, the results from three subgroup analysis were in line with those from overall analyses (Table 2).
Table 2
Subgroup analysis for the influence of tumor size on overall survival after pancreatic ductal adenocarcinoma resection
Subgroup
No. of studies
HR
95% CI
P-value
I2 (%)
Single centre studies
 Univariate analysis
8
1.52
1.39, 1.67
< 0.001
29
 Multivariate analysis
13
1.53
1.22, 1.91
< 0.001
76
Multicentre studies
 Univariate analysis
7
1.54
1.36, 1.74
< 0.001
0
 Multivariate analysis
7
1.67
1.41, 1.99
< 0.001
51
Western studies
 Univariate analysis
8
1.46
1.34, 1.59
< 0.001
0
 Multivariate analysis
11
1.55
1.25, 1.92
< 0.001
87
Eastern studies
 Univariate analysis
7
1.82
1.55, 2.15
< 0.001
0
 Multivariate analysis
10
1.62
1.40, 1.87
< 0.001
35
CI confidence interval, HR hazard ratio
The impact of PDAC size on DFS was evaluated in 6 studies [18, 2325, 28, 33], among which univariate HR was reported in 4 [2325, 27] and multivariate HR was reported in 5 [18, 23, 25, 28, 33]. Both univariate and multivariate HR were reported in 3 studies [23, 25, 28]. The pooled HR estimate for DFS was 1.74 (95% CI: 1.46–2.07; P < 0.0001) by univariate analysis and 1.38 (95% CI: 1.12–1.68; P = 0.002) by multivariate analysis (Fig. 4a-b). Sensitivity and subgroup analyses were not performed due to the small number of studies.
Nine studies compared the clinicopathological factors between tumors > 2 cm and tumors ≤2 cm groups [5, 6, 9, 13, 15, 19, 20, 23, 28]. Pooled analysis showed that patients with tumor > 2 cm had higher incidences of lymph node metastasis (79.1% vs. 64.2%, OR 2.24, 95% CI: 1.43–3.51; P < 0.001), poor tumor differentiation (36.2% vs. 28.4%, OR 1.45, 95% CI: 1.22–1.73; P < 0.001), perineural invasion (80.8% vs. 67.1%, OR 1.89, 95% CI: 1.22–2.92; P = 0.004), vascular invasion (39.8% vs. 27.7%, OR 1.78, 95% CI: 1.41–2.24; P < 0.001), positive resection margins (36.9% vs. 27.2%, OR 1.56, 95% CI: 1.31–1.87; P < 0.001), and positive intraoperative peritoneal cytology (14.2% vs. 2.6%, OR 5.66, 95% CI: 2.15–14.93; P < 0.001), as compared with patients with tumors ≤2 cm.

Publication bias

No significant funnel plot asymmetry was observed in the meta-analysis of univariate and multivariate OS (Fig. 5a-b).

Discussion

Assessment of tumor size for prognostication had better reproducibility for both clinical and pathologic staging [35]. Indeed, many studies investigating the prognostic factors in PDAC have shown that tumor size is one of the most important parameters in predicting the clinical outcome of cancer patients. The cut-off point for PDAC size in the published reports varies from 2, 2.5, 3, 4, and 5 cm [6]. Generally, tumors ≤2 cm in the greatest dimension are defined as small PDAC [36]. Some authors noted that tumors > 2 cm have prognostic implications after resection [6, 12, 14, 16], while others failed to confirm this finding [5, 10, 11]. Meta-analysis provides a way to increase statistical power and resolves inconsistencies. Our pooling data have shown that tumors > 2 cm have negative impact on the survival of patients with PDAC. These findings affirm the validity of the T-stage of the current AJCC classification, in which the cut-off value of 2 cm is proposed to be the sole factor determining whether a pancreatic tumor is staged as T1 or T2 disease [4]. When the clinicopathologic findings in the two groups were compared, patients with tumors > 2 cm showed higher incidences of lymph node metastasis, poor tumor differentiation, lymph vessel invasion, vascular invasion, perineural invasion, positive resection margin, and positive intraoperative peritoneal cytology, implying that tumors > 2 cm intrinsically have more aggressive tumor biology that contributes to worse prognosis. Marchegiani et al. speculated that tumor size could be considered a surrogate of neoplastic progression, knowing that it is an expression of time passing from its original development. Therefore, a tumor with bigger dimensions often implies a relatively delayed diagnosis and therefore has a higher likelihood of being associated with other adverse pathologic factors [6].
The PDAC size also has impact on operative outcomes. Patients with tumors > 2 cm were found to be associated with more intra-operative blood loss and a greater need for packed red blood cell transfusion [5], knowing that the latter variable may lead to worse oncologic outcomes via transfusion-related immune modulation [37].
There is growing evidence that neoadjuvant therapy is associated with a statistically significant reduction in the tumor positive margin status, tumor stage and grade, lymph node metastasis, and perineural invasion, thereby resulting in improved survival in patients with initially resectable PDAC [38]. However, identification of patients who will benefit from neoadjuvant therapy remains challenging. Unlike other malignant pathological features of PDAC, tumor size can be diagnosed by preoperative imaging and therefore may be able to guide clinical decision making. Our results show that tumors > 2 cm are characterized by the presence of other relevant poor prognostic factors and therefore can be considered as an indication for neoadjuvant therapy. The potential aim is to achieve dual purposes of attenuating malignant pathological features on the one hand and improving the surgical outcome on the other. Randomized controlled trials are necessary to confirm this preliminary recommendation.
This review is limited by the low quality. All included studies were retrospective in nature and classified as level-4 evidence, which underlines the validity of the analyzed outcomes. Ansari et al. [29] found that the association between survival and PDAC size was linear in patients with localized tumors but stochastic in patients with regional and distant stages. Unfortunately, none of the included studies analysed the stage-dependent relationship between PDAC size and survival. Similarly, subgroup analysis based on anatomic location of the PDAC could not be performed due to insufficient data.
The strength of our findings is that it represents a variety of clinical settings, including Eastern and Western data rather than the sole experience of a single institution. In addition, these pooled results based on multivariate analysis do not differ essentially from those of analyses based on univariate analysis. These findings indicate that tumors > 2 cm, per se rather than a confounder, have a prognostic implication. Finally, there is no evidence of publication bias.

Conclusion

The current evidence demonstrates that PDAC size > 2 cm is an independent predictive factor for poor prognosis after surgical resection and associated with more aggressive tumor biology. Future trials are necessary to evaluate the survival benefit of neoadjuvant therapy in this subset of patients.

Acknowledgements

We thank Doctor Yanfang Zhao (Department of Health Statistics, Second Military Medical University, Shanghai, China) for her critical revision of the meta-analysis section.

Funding

The project was supported by Natural Science Foundation of Fujian province (2015 J01561) and Major Diseases Joint Research Program of Xiamen City (3502Z20170943).

Availability of data and materials

Input data for the analyses are available from the corresponding author on request.

Competing interest

The authors declare that they have no competing interests.
Not applicable.
Not applicable.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
7.
Zurück zum Zitat Moher D, Liberati A, Tetzlaff J, Altman DG. PRISMA group: preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ. 2009;339:b2535.CrossRef Moher D, Liberati A, Tetzlaff J, Altman DG. PRISMA group: preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ. 2009;339:b2535.CrossRef
12.
31.
Zurück zum Zitat Kurata M, Honda G, Murakami Y, Uemura K, Satoi S, Motoi F, et al. Multicenter study Group of Pancreatobiliary Surgery (MSG-PBS): retrospective study of the correlation between pathological tumor size and survival after curative resection of T3 pancreatic adenocarcinoma: proposal for reclassification of the tumor extending beyond the pancreas based on tumor size. World J Surg. 2017 Jun 15. https://doi.org/10.1007/s00268-017-4077-5.CrossRef Kurata M, Honda G, Murakami Y, Uemura K, Satoi S, Motoi F, et al. Multicenter study Group of Pancreatobiliary Surgery (MSG-PBS): retrospective study of the correlation between pathological tumor size and survival after curative resection of T3 pancreatic adenocarcinoma: proposal for reclassification of the tumor extending beyond the pancreas based on tumor size. World J Surg. 2017 Jun 15. https://​doi.​org/​10.​1007/​s00268-017-4077-5.CrossRef
Metadaten
Titel
Impact of tumor size on survival of patients with resected pancreatic ductal adenocarcinoma: a systematic review and meta-analysis
verfasst von
Debang Li
Bin Hu
Yanming Zhou
Tao Wan
Xiaoying Si
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
BMC Cancer / Ausgabe 1/2018
Elektronische ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-018-4901-9

Weitere Artikel der Ausgabe 1/2018

BMC Cancer 1/2018 Zur Ausgabe

Alphablocker schützt vor Miktionsproblemen nach der Biopsie

16.05.2024 alpha-1-Rezeptorantagonisten Nachrichten

Nach einer Prostatabiopsie treten häufig Probleme beim Wasserlassen auf. Ob sich das durch den periinterventionellen Einsatz von Alphablockern verhindern lässt, haben australische Mediziner im Zuge einer Metaanalyse untersucht.

Antikörper-Wirkstoff-Konjugat hält solide Tumoren in Schach

16.05.2024 Zielgerichtete Therapie Nachrichten

Trastuzumab deruxtecan scheint auch jenseits von Lungenkrebs gut gegen solide Tumoren mit HER2-Mutationen zu wirken. Dafür sprechen die Daten einer offenen Pan-Tumor-Studie.

Mammakarzinom: Senken Statine das krebsbedingte Sterberisiko?

15.05.2024 Mammakarzinom Nachrichten

Frauen mit lokalem oder metastasiertem Brustkrebs, die Statine einnehmen, haben eine niedrigere krebsspezifische Mortalität als Patientinnen, die dies nicht tun, legen neue Daten aus den USA nahe.

Labor, CT-Anthropometrie zeigen Risiko für Pankreaskrebs

13.05.2024 Pankreaskarzinom Nachrichten

Gerade bei aggressiven Malignomen wie dem duktalen Adenokarzinom des Pankreas könnte Früherkennung die Therapiechancen verbessern. Noch jedoch klafft hier eine Lücke. Ein Studienteam hat einen Weg gesucht, sie zu schließen.

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.