Next Article in Journal
The Clinical Benefit of Percutaneous Transhepatic Biliary Drainage for Malignant Biliary Tract Obstruction
Previous Article in Journal
Cancer Cells Evade Stress-Induced Apoptosis by Promoting HSP70-Dependent Clearance of Stress Granules
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Evaluation of the 8th Edition AJCC Staging System for the Clinical Staging of Pancreatic Cancer

1
Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon 21565, Korea
2
Department of Medicine, Yonsei University Graduate School, Seoul 03722, Korea
3
Department of Radiology, Yonsei University College of Medicine, Seoul 03722, Korea
4
Digestive Disease Center, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam 13496, Korea
5
Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea
*
Authors to whom correspondence should be addressed.
These authors have contributed equally to this work.
These authors have contributed equally to this work.
Cancers 2022, 14(19), 4672; https://doi.org/10.3390/cancers14194672
Submission received: 18 August 2022 / Revised: 15 September 2022 / Accepted: 20 September 2022 / Published: 26 September 2022
(This article belongs to the Section Cancer Causes, Screening and Diagnosis)

Abstract

:

Simple Summary

The 8th edition of the AJCC staging system for pancreatic cancer has been validated for pathological staging; however, its suitability for clinical staging is still uncertain. Clinical staging is important for pancreatic cancer because surgical resection is not suitable for most patients. We validated the prognostic performance and suitability of the current staging system for clinical staging. In our analysis using a prospectively collected pancreatic cancer cohort database, survival difference was not shown between stage IB and IIA, which were divided by the new size-based T3 criterion. Among the patients who received surgery, the pathological stage was more advanced than the clinical stage in 57.3%, mostly due to a false-negative lymph node in clinical staging. These findings suggest that the 8th edition AJCC staging system is not validated for clinical staging and separate criteria more suitable for clinical staging should be established.

Abstract

The 8th edition of the American Joint Committee on Cancer (AJCC) staging system for pancreatic cancer (PC) has been validated for pathological staging; however, its significance for clinical staging remains uncertain. We validated the prognostic performance and suitability of the current staging system for the clinical staging of PC. We identified 1043 patients from our PC registry who were staged by imaging according to the 8th edition staging system and conducted analysis, including overall survival (OS) comparison. Gradual prognostic stratification according to stage hierarchy yielded significant OS differences between stage groups, except between stage I and II (p = 0.193). A substage comparison revealed no survival differences between IB (T2N0) and IIA (T3N0), which were divided by the T3 criterion only (p = 0.278). A higher N stage had significantly shorter OS than a lower N stage (all pairwise p < 0.05). However, among the 150 patients who received upfront surgery, the pathological stage was more advanced than the clinical stage in 86 (57.3%), mostly due to a false-negative cN0 (70.9%). Our results suggest that the new definition of T3 and the number-based N criteria in the 8th edition AJCC staging system may be not adequate for clinical staging. Establishing separate criteria more suitable for clinical staging should be considered.

1. Introduction

The American Joint Committee on Cancer (AJCC) staging system, based on the primary tumor, regional lymph nodes (LNs), and metastasis (TNM), is a universally accepted tool for cancer staging. From initial diagnosis, it allows for disease-extent determination, appropriate treatment-approach selection, and prognosis prediction [1]. In 2016, the AJCC released its 8th edition staging system with several updates in TNM staging [2]. The staging system for pancreatic cancer (PC), one of the most lethal malignant diseases globally [3,4,5], was also changed based on the evidence that tumor size and the number of positive LNs (PLNs) were significantly related to prognosis [6,7,8,9]. Therefore, the T3 criterion was revised as a tumor size > 4 cm, and the PLN number-based N criteria, including N1 (1–3 PLNs) and N2 (≥4 PLNs), were introduced. After criteria revision, this staging system was validated and compared with the former staging system in several studies with data from patients with surgically resected PC [10,11,12,13]. Overall, these studies concluded that pathological staging with the 8th edition AJCC staging system was valid and had comparable or better discriminating power than the previous edition.
However, the current 8th edition staging system for PC was established and revised based on pathological data from patients with surgically resected PC exclusively, and its applicability for clinical staging remains unclear [14]. Notably, more than 80% of patients diagnosed with PC are not suitable for curative resection [15], and clinical staging is the only method of post-diagnostic implementable classification in most patients with PC. Therefore, it is important to evaluate whether the 8th edition AJCC staging system is appropriate for clinical staging in anticipation of an upcoming revision of the staging system; however, data are still lacking.
Herein, we validated the prognostic performance and suitability of the 8th edition AJCC staging system for the clinical staging of PC.

2. Materials and Methods

2.1. Patient Selection

We analyzed data from the Severance Hospital Pancreatic Cancer Cohort Registry. This cohort registry is a prospectively collected database of patients with PC treated at Severance Hospital since 2015. Patient information regarding demographic, clinical, radiographic, pathologic, and treatment characteristics were collected, as well as follow-up and survival details. Data from patients who were diagnosed with PC from 2012 to 2014 were retrospectively collected after obtaining study approval. We included patients diagnosed with PC from January 2012 to April 2017 aged > 19 years with histologically or cytologically proven pancreatic malignancy. We excluded patients with confirmed extrapancreatic malignancy and a confirmed pancreatic neuroendocrine tumor or carcinoma because different staging systems are used for these patients. We also excluded patients with inadequate imaging data with which to conduct clinical staging. Basic demographics, clinical information at initial diagnosis, pathological information after resection, and the date of the last follow-up or death were extracted for analysis. This cohort study was approved by the Institutional Review Board of Yonsei University Health System (Approval number: 4-2015-1058) and conducted in accordance with the Declaration of Helsinki.

2.2. Imaging Studies for Clinical Staging

All patients underwent multidetector computed tomography (MDCT) and magnetic resonance imaging (MRI) at initial diagnosis. Five board-certified abdominal radiologists with 5–20 years of experience analyzed the imaging findings and entered them into the cohort database. They recorded the tumor size and location and evaluated the major vessels (celiac artery, superior mesenteric artery, common hepatic artery, portal vein [PV], and superior mesenteric vein [SMV]). When >180° of a vessel’s circumference was in contact with the cancer, or a vessel contour showed deformity, the concerned vessel was regarded as invaded [16]. When the outer margin of the pancreas was bulging with a loss of its lobulated contour, it was regarded as an extrapancreatic extension of the tumor. LNs were also analyzed, and the number of radiographic PLNs was counted. A radiographic PLN was defined as an LN with a short axis longer than 1 cm or showing more than two features of the following: round rather than ovoid contour, heterogeneity, and central necrosis [16]. Conglomerated, but distinct, LNs were counted separately. Finally, the presence of distant metastasis was recorded. Moreover, we used available information from endoscopic ultrasonography or positron emission tomography (PET) for clinical staging. All imaging study data collected in the cohort database were used for clinical staging according to the 7th and 8th editions of the AJCC staging system (Table 1). All patients were initially staged according to the 7th edition AJCC staging system at the time of their registration to the cohort. When the 8th edition staging system was introduced in early 2017, all previously registered patients were restaged according to the 8th edition staging system with newly added information on the radiographic PLN number.

2.3. Statistical Analysis

For the analysis of survival data, the Kaplan–Meier method was used to estimate median survival with 95% confidence intervals (CI), and pairwise comparisons between each curve were performed using the log-rank test. Overall survival (OS) was defined as the period spanning the date of the reference imaging study for clinical staging to the date of death or the last follow-up. The cut-off date of follow-up for this study was 28 July 2020. Patients alive at the end of follow-up were censored from survival analysis. The performances of both the 8th and 7th editions of the AJCC staging systems were compared in three aspects: discrimination ability, homogeneity, and monotonicity of the gradient. For the evaluation of discrimination ability, Harrell’s concordance index (C-index), Heagerty’s integrated area under the curve (iAUC), and the Akaike information criterion (AIC) were calculated. The C-index and iAUC have values ranging between 0 and 1.0, with values closer to 1.0 indicating more significant discriminating abilities [17,18]. A smaller AIC value indicates a better model for prognostic stratification [19]. Homogeneity was measured using the likelihood ratio chi-square test (LR). Monotonicity of the gradient was analyzed by applying the linear trend chi-square test (LT). A Cox proportional hazards model was used to compute the C-index, iAUC, AIC, LR, and LT values. A p value < 0.05 was considered statistically significant. Descriptive statistics and survival analyses were performed with IBM SPSS (version 23.0, IBM Corp., Armonk, NY, USA), whereas performance parameters were computed using R package, version 3.4.3 (http://www.R-project.org accessed on 15 May 2018), and SAS (version 9.4, SAS Inc., Cary, NC, USA).

3. Results

3.1. Patient Characteristics

Of the 1162 patients registered in our cohort registry from January 2012 to April 2017, 1059 patients met the inclusion criteria. After excluding 16 patients (10 with confirmed neuroendocrine carcinoma, 4 with confirmed extrapancreatic malignancy, and 2 with inadequate imaging studies), 1043 patients were finally analyzed. The baseline characteristics of all selected patients are summarized in Table 2. Regarding treatment after diagnosis, 150 (14.4%) patients received upfront surgery, and 31 (3.0%) underwent resection after neoadjuvant therapy. Sixty-nine (6.6%) patients did not receive surgery after neoadjuvant therapy. Adjuvant therapy was given to 129 (12.4) patients, 719 (68.9%) received palliative treatment for initially unresectable or recurrent PC, and 188 (18.0%) patients received only best supportive care. Detailed information on neoadjuvant and adjuvant therapy is presented in Supplementary material S1. Patient distribution according to the 8th edition AJCC staging system is summarized in Table 3.

3.2. Survival Analysis between Stage Groups under the 8th Edition Staging System for PC

The median duration of follow-up was 10.0 months (range, 0.3–87.4). Figure 1A shows the Kaplan–Meier plots of median OS and the result of pairwise comparison among the four stage groups according to the 8th edition staging system. We noted a gradual prognostic stratification, along with stage hierarchy, with significant OS differences between all stage groups, except between stage I and II (I 19.6 vs. II 14.7 months; p = 0.193). To analyze the statistical insignificance of survival differences between stage I and II, we compared patient OS for four substages of stages I and II (Figure 1B). In this analysis, the OS of stage IB and IIA patients was not different (IB 16.8 vs. IIA 19.2 months; p = 0.278). This result indicated that the OS of T2 did not differ from that of T3, which is newly defined as a tumor size > 4 cm in the 8th edition staging system, because stages IB and IIA are only defined by T stages. Statistical differences in OS were also not shown between stage IA/IIA and IB/IIB patients; nonetheless, there were strong trends toward longer patient OS in earlier stages (IA 35.8 vs. IIA 19.2 months, p = 0.094; IB 16.8 vs. IIB 10.1 months, p = 0.058). The same analysis performed in 942 patients with confirmed adenocarcinoma shows consistent results with those from all 1043 patients (Supplementary material S2).

3.3. Subgroup Analysis in Patients with Non-Metastatic PC: Validation of Newly Defined N Stages

Survival analysis according to the N stage was performed to evaluate the validity of the new size-based N criteria of the 8th edition staging system in patients with non-metastatic PC (n = 504). In this analysis, only 13 patients (2.6%) with non-metastatic PC were classified as clinical N2, and 62 patients (12.3%) were classified as clinical N1. Figure 2 shows the Kaplan–Meier plots wherein higher N stages had shorter median OS than lower N stages, and these differences were confirmed in a pairwise comparison. The same analysis performed in 456 patients with confirmed adenocarcinoma shows consistent results with those presented above (Supplementary material S3).

3.4. Subgroup Analysis of Patients Who Underwent Upfront Surgery: Clinical Staging Accuracy

In our study cohort, 150 patients underwent upfront surgery without neoadjuvant therapy. Table 4 shows the distribution of preoperative clinical stages and postoperative pathological stages. With reference to the pathological stage, the accuracy of clinical staging was 36% (54 of 150). Compared to their clinical stage, 86 of the 150 patients (57.3%) had a more advanced pathological stage, mostly due to a radiographic false negative diagnosis of PLN (61 of 86, 70.9%). The overall sensitivity, specificity, positive predictive, and negative predictive values of radiographically detected PLNs were 13.51%, 98.68%, 90.91%, and 53.96%, respectively.

3.5. Comparison of Prognostic Performance between the 8th and 7th Editions

Table 5 shows the comparison of prognostic performance between the current and previous editions of the AJCC staging system. The C-index and iAUC values were closer to 1.0 with the 8th edition (8th vs. 7th; 0.671 vs. 0.667; 0.654 vs. 0.650, respectively), with significant differences (0.004 [95% CI, 0.001–0008]; 0.004 [95% CI, 0.001–0.008], respectively), compared to the 7th edition. Furthermore, the AIC values were smaller (9878.689 vs. 9885.982) with the 8th edition. These results indicate that the 8th edition has more significant discriminating ability than the 7th edition staging system. The calculated LR was higher and the calculated LT was lower with the 8th edition than with the 7th edition (286.0384 vs. 278.7454; 195.7435 vs. 214.2208, respectively). These findings suggested that the 8th edition staging system was a better model than the 7th edition in terms of homogeneity, but not in terms of monotonicity of the gradient.

4. Discussion

The well-known drawback of the 7th edition staging system of PC was a shift in patient distribution to T3, which made T1 and T2 rare [13]. This can reduce the accuracy of prognostic stratification, particularly in earlier stages. However, this deviation was solved with the new 8th edition T-stage criteria, as demonstrated in previous studies conducted using pathological staging [10,12,13,20], and in the present study of the use of clinical staging as well. However, along with this change in the present study, the number of patients with stage I PC (T1 and T2) markedly increased, whereas the number of patients with stage II PC (T3 and N1) decreased to that of the smallest group (6.4%).
Survival analysis by the 8th edition in our study showed a gradual prognostic change along with the stage hierarchy, with a significant or strong trend toward having OS differences, except between stage IB (T2N0) and IIA (T3N0). This finding could put into question the validity of the revised T3 criterion in the 8th edition. While several studies evaluating patients with surgically resected PC had validated the 4 cm tumor size cut-off [6,10,12,13], a recent study by Li et al. with 1349 patients showed contradictory results. Similar to the results of our study, they showed no survival difference between pathologically staged IB and IIA according to the 8th edition [21]. For clinical staging, evidence is lacking on the applicability of the size-based T3 criterion so far. This is likely because the 4 cm tumor size cut-off was determined using data from resected PC cases only. In our study, over 95% of the patients with a tumor size > 4 cm had arterial invasion (T4) or distant metastasis (M1). Thus, unlike in pathological staging, stage IIA may merely be nominal in clinical staging, and this could imply a limited applicability of the sized-based T3 criterion in this setting. Our results showed several advantages for T classification of the 8th edition in terms of stage distribution and prognosis-discriminating ability over the 7th edition, similar to the results from a recent study on pathological staging [10]. At the same time, the necessity of a more suitable T classification for clinical staging is raised. It may be helpful to include factors constituting resectability criteria, given the prognostic impact of surgical resection. In this aspect, radiographic PV or SMV invasion, which can significantly affect the prognosis of patients with non-metastatic PC [22], may be worth considering as a factor in T classification.
The PLN number-based N staging of the 8th edition showed the ability to discriminate prognosis between N-stage groups in patients with non-metastatic PC in the present study. However, stage IIB was very rare, and only five patients were classified as stage III by N2 without T4. This clearly highlights the limitations of imaging modalities, wherein the accurate determination of radiographic PLN was very difficult. Several studies of pancreatobiliary cancer have shown unsatisfactory accuracy for MDCT, MRI, and PET in PLN detection. Overall reported sensitivity and negative predictive value ranges are 15–57% and 53–72%, respectively [23,24,25,26,27,28,29,30], indicating a high false negative rate. Similarly in our study, after upfront surgery in 150 patients, 57.3% had a more advanced pathological stage than that given at preoperative clinical staging, mostly due to a radiographic false negative PLN. Moreover, we demonstrated relatively low negative predictive values (53.96%) for imaging modalities in PLN detection. This result indicates the likelihood of missing many patients who should be classified as stage IIB or III. To increase the diagnostic accuracy of nodal staging in pancreatic cancer, several criteria have been evaluated, such as a combination of MDCT and serum CA 19-9 [26], lymph node size [31], and expanded morphological criteria [32]. To date, however, no specific criteria have shown satisfactory accuracy for nodal staging. While the number of PLN was suggested as a prognostic factor in patients with resected PC and the cut-off number of PLN for staging was validated in several previous studies [7,8,9,10,12,33,34,35], some studies have reported that applying the PLN number cut-off elicited no survival differences [13,20,36]. Considering the suboptimal accuracy of preoperative PLN detection, we suggest that N staging needs to be simplified as in the 7th edition, at least for clinical staging.
Despite some improvements in prognostic performance in the revised staging system for PC, it still cannot be used as a guide for clinical management, which is a major role of clinical staging [14]. For example, venous criteria are not included in the T classification, and therefore, patients with unresectable PC due to unreconstructible venous occlusion can even be classified as early stage PC according to the current staging system, thereby diminishing the prognostic significance. The separate use of clinical and pathological staging classifications as in current esophageal and gastric cancer staging systems will be an appropriate solution to this problem [37,38].
This study had several limitations. First, we analyzed cohort study data from a single institution. Second, post-diagnostic treatment and the clinical courses of each patient were heterogeneous. Therefore, our results do not reflect prognostic prediction after certain kinds of treatment. Third, we included patients with cancers other than adenocarcinoma, such as unspecified carcinoma and intraductal papillary mucinous carcinoma. Although such patients were few (9.7%), they could limit the pathology-specific interpretation of our result. Generally, with the evidence of highly suspected PC on imaging and serologic studies, patients with these histocytological results are diagnosed as having PC, and the treatment is the same as that of adenocarcinoma [39]. In addition, we excluded patients with neuroendocrine tumors whose staging system and treatment differed from those of patients with adenocarcinoma. Fourth, we did not compare the accuracy of clinical staging between specific imaging modality or criteria. Thus far, integrating information from all available imaging modalities is required to make a more accurate clinical staging than relying on a single modality. Fifth, we are unable to suggest better T and N classifications for clinical staging based on our data. The number of patients with resectable and borderline resectable PC might not be adequate to discriminate minor prognostic differences between stages. Further research for developing a more suitable classification for clinical staging is needed using larger multicenter or national cohorts. Despite these limitations, our study is meaningful in that we showed notable flaws in the current staging system for the clinical staging of PC. To the best of our knowledge, this is the first study with a detailed evaluation of the 8th edition AJCC staging system for PC in a pure clinical staging setting.

5. Conclusions

Our results suggest that the new definition of T3 in the 8th edition AJCC staging system may be not adequate for clinical staging. With the suboptimal accuracy of the current imaging system in PLN detection, the applicability of the new number-based N criteria remains controversial. Given that the clinical stage is the only assessable stage in most patients with PC, establishing more suitable criteria for clinical staging should be considered in upcoming revisions, separately from pathological staging criteria.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cancers14194672/s1, S1: Detailed information of neoadjuvant and adjuvant therapy. S2: Kaplan–Meier estimates of overall survival of stage groups according to the AJCC staging system, 8th edition in patient with confirmed adenocarcinoma (A) Comparison of stages (from I to IV), (B) Comparison of substages (from IA to IIB). S3: Overall survival of non-metastatic pancreatic adenocarcinoma patients according to the AJCC staging system, 8th edition stratified by N staging.

Author Contributions

S.B. and M.-S.P. had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. S.B. and M.-S.P. contributed equally as corresponding authors. H.K. and S.-s.K. contributed equally as first authors. Conceptualization, methodology: S.B. and M.-S.P. Data acquisition, analysis, and interpretation: H.K., S.-s.K., M.J.S., J.H.J., H.S.L., M.J.C., J.Y.P., S.W.P., S.Y.S., M.-S.P. and S.B. Statistical analysis: H.K. Drafting of the manuscript: H.K., S.-s.K., M.-S.P. and S.B. Critical revision for important intellectual content: H.K., S.-s.K., M.J.S., J.H.J., H.S.L., M.J.C., J.Y.P., S.W.P., S.Y.S., M.-S.P. and S.B. Supervision: S.B. and M.-S.P. Approval of the final manuscript: H.K., S.-s.K., M.J.S., J.H.J., H.S.L., M.J.C., J.Y.P., S.W.P., S.Y.S., M.-S.P. and S.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of Yonsei University Health System (4-2015-1058).

Informed Consent Statement

Informed consent was obtained from all subjects who were prospectively included in this cohort registry used in the study.

Data Availability Statement

The data presented in this study are available in this article and supplementary material.

Acknowledgments

The authors would like to thank So Young Jung from the Division of Gastroenterology, Yonsei University Health System, for her efforts to support the cohort registry management; Jun Tae Kim from Yonsei Biomedical Research Center for his dedication in the handling, managing, and auditing of cohort data; and Ha Yan Kim and Eun Ju Lee from the Biostatistics Collaboration Unit, Yonsei University College of Medicine, for supporting the statistical analyses.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as potential conflicts of interest.

References

  1. Chun, Y.S.; Pawlik, T.M.; Vauthey, J.-N. 8th Edition of the AJCC Cancer Staging Manual: Pancreas and Hepatobiliary Cancers. Ann. Surg. Oncol. 2017, 25, 845–847. [Google Scholar] [CrossRef] [PubMed]
  2. Amin, M.B.; Edge, S.; Greene, F.; Byrd, D.R.; Brookland, R.K.; Washington, M.K.; Gershenwald, J.E.; Compton, C.C.; Hess, K.R.; Sullivan, D.C.; et al. AJCC Cancer Staging Manual, 8th ed.; Springer: New York, NY, USA, 2017. [Google Scholar]
  3. National Cancer Information Center (Republic of Korea). Cancer Statistics in Korea 2017. Available online: https://www.ncc.re.kr/main.ncc?uri=english/sub04_Statistics (accessed on 1 June 2018).
  4. Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer statistics, 2017. CA Cancer J. Clin. 2017, 67, 7–30. [Google Scholar] [CrossRef]
  5. Cancer Research UK. Cancer Statistics for the UK. Available online: http://www.cancerresearchuk.org/health-professional/cancer-statistics-for-the-uk (accessed on 1 June 2018).
  6. Saka, B.; Balci, S.; Basturk, O.; Bagci, P.; Postlewait, L.M.; Maithel, S.; Knight, J.; El-Rayes, B.; Kooby, D.; Sarmiento, J.; et al. Pancreatic Ductal Adenocarcinoma is Spread to the Peripancreatic Soft Tissue in the Majority of Resected Cases, Rendering the AJCC T-Stage Protocol (7th Edition) Inapplicable and Insignificant: A Size-Based Staging System (pT1: ≤2, pT2: >2–≤4, pT3: >4 cm) is More Valid and Clinically Relevant. Ann. Surg. Oncol. 2016, 23, 2010–2018. [Google Scholar] [CrossRef] [PubMed]
  7. Basturk, O.; Saka, B.; Balci, S.; Postlewait, L.M.; Knight, J.; Goodman, M.; Kooby, D.; Sarmiento, J.M.; 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, S1187–S1195. [Google Scholar] [CrossRef] [PubMed]
  8. Malleo, G.; Maggino, L.; Capelli, P.; Gulino, F.; Segattini, S.; Scarpa, A.; Bassi, C.; Butturini, G.; Salvia, R. Reappraisal of Nodal Staging and Study of Lymph Node Station Involvement in Pancreaticoduodenectomy with the Standard International Study Group of Pancreatic Surgery Definition of Lymphadenectomy for Cancer. J. Am. Coll. Surg. 2015, 221, 367–379.e4. [Google Scholar] [CrossRef]
  9. Strobel, O.; Hinz, U.; Gluth, A.; Hank, T.; Hackert, T.; Bergmann, F.; Werner, J.; Buchler, M.W. Pancreatic adenocarcinoma: Number of positive nodes allows to distinguish several N categories. Ann. Surg. 2015, 261, 961–969. [Google Scholar] [CrossRef]
  10. Allen, P.J.; Kuk, D.; Castillo, C.F.-d.; Basturk, O.; Wolfgang, C.L.; Cameron, J.L.; Lillemoe, K.D.; Ferrone, C.R.; Morales-Oyarvide, V.; He, J.; et al. Multi-institutional Validation Study of the American Joint Commission on Cancer (8th Edition) Changes for T and N Staging in Patients with Pancreatic Adenocarcinoma. Ann. Surg. 2017, 265, 185–191. [Google Scholar] [CrossRef]
  11. Chatterjee, D.; Katz, M.H.; Foo, W.C.; Sundar, M.; Wang, H.; Varadhachary, G.R.; Wolff, R.A.; Lee, J.E.; Maitra, A.; Fleming, J.B.; et al. Prognostic Significance of New AJCC Tumor Stage in Patients with Pancreatic Ductal Adenocarcinoma Treated with Neoadjuvant Therapy. Am. J. Surg. Pathol. 2017, 41, 1097–1104. [Google Scholar] [CrossRef]
  12. Kamarajah, S.K.; Burns, W.R.; Frankel, T.L.; Cho, C.S.; Nathan, H. Validation of the American Joint Commission on Cancer (AJCC) 8th Edition Staging System for Patients with Pancreatic Adenocarcinoma: A Surveillance, Epidemiology and End Results (SEER) Analysis. Ann. Surg. Oncol. 2017, 24, 2023–2030. [Google Scholar] [CrossRef]
  13. Schlitter, A.M.; Jesinghaus, M.; Jäger, C.; Konukiewitz, B.; Muckenhuber, A.; Demir, I.E.; Bahra, M.; Denkert, C.; Friess, H.; Kloeppel, G.; et al. pT but not pN stage of the 8th TNM classification significantly improves prognostication in pancreatic ductal adenocarcinoma. Eur. J. Cancer 2017, 84, 121–129. [Google Scholar] [CrossRef]
  14. Reynolds, R.B.; Folloder, J. Clinical Management of Pancreatic Cancer. J. Adv. Pract. Oncol. 2014, 5, 356–364. [Google Scholar] [PubMed]
  15. Ryan, D.P.; Hong, T.S.; Bardeesy, N. Pancreatic adenocarcinoma. N. Engl. J. Med. 2014, 371, 1039–1049. [Google Scholar] [CrossRef] [PubMed]
  16. Al-Hawary, M.M.; Francis, I.R.; Chari, S.T.; Fishman, E.K.; Hough, D.M.; Lu, D.S.; Macari, M.; Megibow, A.J.; Miller, F.H.; Mortele, K.J.; et al. Pancreatic ductal adenocarcinoma radiology reporting template: Consensus statement of the Society of Abdominal Radiology and the American Pancreatic Association. Radiology 2014, 270, 248–260. [Google Scholar] [CrossRef] [PubMed]
  17. Harrell, F.E., Jr.; Lee, K.L.; Mark, D.B. Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat. Med. 1996, 15, 361–387. [Google Scholar] [CrossRef]
  18. Heagerty, P.J.; Zheng, Y. Survival model predictive accuracy and ROC curves. Biometrics 2005, 61, 92–105. [Google Scholar] [CrossRef]
  19. Aho, K.; Derryberry, D.; Peterson, T. Model selection for ecologists: The worldviews of AIC and BIC. Ecology 2014, 95, 631–636. [Google Scholar] [CrossRef]
  20. Shin, D.W.; Lee, J.C.; Kim, J.; Woo, S.M.; Lee, W.J.; Han, S.S.; Park, S.J.; Choi, K.S.; Cha, H.S.; Yoon, Y.S.; et al. Validation of the American Joint Committee on Cancer 8th edition staging system for the pancreatic ductal adenocarcinoma. Eur. J. Surg. Oncol. 2019, 45, 2159–2165. [Google Scholar] [CrossRef]
  21. Li, Y.; Tang, C.G.; Zhao, Y.; Cao, W.Y.; Qu, G.F. Outcomes and prognostic factors of patients with stage IB and IIA pancreatic cancer according to the 8(th) edition American Joint Committee on Cancer criteria. World J. Gastroenterol. 2017, 23, 2757–2762. [Google Scholar] [CrossRef]
  22. Kang, H.; Kim, S.S.; Sung, M.J.; Jo, J.H.; Lee, H.S.; Chung, M.J.; Park, J.Y.; Park, S.W.; Song, S.Y.; Park, M.S.; et al. Radiographic portal or superior mesenteric vein invasion is an independent prognostic factor in non-metastatic pancreatic ductal adenocarcinoma: A missing block of clinical T staging? Pancreatology 2020, 20, 952–959. [Google Scholar] [CrossRef]
  23. Unno, M.; Okumoto, T.; Katayose, Y.; Rikiyama, T.; Sato, A.; Motoi, F.; Oikawa, M.; Egawa, S.; Ishibashi, T. Preoperative assessment of hilar cholangiocarcinoma by multidetector row computed tomography. J. Hepatobiliary Pancreat. Surg. 2007, 14, 434–440. [Google Scholar] [CrossRef]
  24. Kim, Y.C.; Park, M.S.; Cha, S.W.; Chung, Y.E.; Lim, J.S.; Kim, K.S.; Kim, M.J.; Kim, K.W. Comparison of CT and MRI for presurgical characterization of paraaortic lymph nodes in patients with pancreatico-biliary carcinoma. World J. Gastroenterol. 2008, 14, 2208–2212. [Google Scholar] [CrossRef] [PubMed]
  25. Noji, T.; Kondo, S.; Hirano, S.; Tanaka, E.; Suzuki, O.; Shichinohe, T. Computed tomography evaluation of regional lymph node metastases in patients with biliary cancer. Br. J. Surg. 2008, 95, 92–96. [Google Scholar] [CrossRef] [PubMed]
  26. Nanashima, A.; Sakamoto, I.; Hayashi, T.; Tobinaga, S.; Araki, M.; Kunizaki, M.; Nonaka, T.; Takeshita, H.; Hidaka, S.; Sawai, T.; et al. Preoperative diagnosis of lymph node metastasis in biliary and pancreatic carcinomas: Evaluation of the combination of multi-detector CT and serum CA19-9 level. Dig. Dis. Sci. 2010, 55, 3617–3626. [Google Scholar] [CrossRef] [PubMed]
  27. Soriano, A.; Castells, A.; Ayuso, C.; Ayuso, J.R.; de Caralt, M.T.; Gines, M.A.; Real, M.I.; Gilabert, R.; Quinto, L.; Trilla, A.; et al. Preoperative staging and tumor resectability assessment of pancreatic cancer: Prospective study comparing endoscopic ultrasonography, helical computed tomography, magnetic resonance imaging, and angiography. Am. J. Gastroenterol. 2004, 99, 492–501. [Google Scholar] [CrossRef] [PubMed]
  28. Furukawa, H.; Ikuma, H.; Asakura-Yokoe, K.; Uesaka, K. Preoperative staging of biliary carcinoma using 18F-fluorodeoxyglucose PET: Prospective comparison with PET+CT, MDCT and histopathology. Eur. Radiol. 2008, 18, 2841–2847. [Google Scholar] [CrossRef]
  29. Shrikhande, S.V.; Barreto, S.G.; Goel, M.; Arya, S. Multimodality imaging of pancreatic ductal adenocarcinoma: A review of the literature. HPB 2012, 14, 658–668. [Google Scholar] [CrossRef]
  30. Barreto, S.G.; Loveday, B.; Windsor, J.A.; Pandanaboyana, S. Detecting tumour response and predicting resectability after neoadjuvant therapy for borderline resectable and locally advanced pancreatic cancer. ANZ J. Surg. 2019, 89, 481–487. [Google Scholar] [CrossRef]
  31. Shin, J.; Shin, S.; Lee, J.H.; Song, K.B.; Hwang, D.W.; Kim, H.J.; Byun, J.H.; Cho, H.; Kim, S.C.; Hong, S.M. Lymph node size and its association with nodal metastasis in ductal adenocarcinoma of the pancreas. J. Pathol. Transl. Med. 2020, 54, 387–395. [Google Scholar] [CrossRef]
  32. Loch, F.N.; Asbach, P.; Haas, M.; Seeliger, H.; Beyer, K.; Schineis, C.; Degro, C.E.; Margonis, G.A.; Kreis, M.E.; Kamphues, C. Accuracy of various criteria for lymph node staging in ductal adenocarcinoma of the pancreatic head by computed tomography and magnetic resonance imaging. World J. Surg. Oncol. 2020, 18, 213. [Google Scholar] [CrossRef]
  33. Murakami, Y.; Uemura, K.; Sudo, T.; Hayashidani, Y.; Hashimoto, Y.; Nakashima, A.; Yuasa, Y.; Kondo, N.; Ohge, H.; Sueda, T. Number of metastatic lymph nodes, but not lymph node ratio, is an independent prognostic factor after resection of pancreatic carcinoma. J. Am. Coll. Surg. 2010, 211, 196–204. [Google Scholar] [CrossRef]
  34. Morales-Oyarvide, V.; Rubinson, D.A.; Dunne, R.F.; Kozak, M.M.; Bui, J.L.; Yuan, C.; Qian, Z.R.; Babic, A.; Da Silva, A.; Nowak, J.A.; et al. Lymph node metastases in resected pancreatic ductal adenocarcinoma: Predictors of disease recurrence and survival. Br. J. Cancer 2017, 117, 1874–1882. [Google Scholar] [CrossRef] [PubMed]
  35. Song, M.; Yoon, S.B.; Lee, I.S.; Hong, T.H.; Choi, H.J.; Choi, M.H.; Lee, M.A.; Jung, E.S.; Choi, M.G. Evaluation of the prognostic value of the new AJCC 8th edition staging system for patients with pancreatic adenocarcinoma; a need to subclassify stage III? Eur. J. Cancer 2018, 104, 62–69. [Google Scholar] [CrossRef] [PubMed]
  36. 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, 254. [Google Scholar] [CrossRef]
  37. Rice, T.W.; Patil, D.T.; Blackstone, E.H. 8th edition AJCC/UICC staging of cancers of the esophagus and esophagogastric junction: Application to clinical practice. Ann. Cardiothorac. Surg. 2017, 6, 119–130. [Google Scholar] [CrossRef] [PubMed]
  38. In, H.; Ravetch, E.; Langdon-Embry, M.; Palis, B.; Ajani, J.A.; Hofstetter, W.L.; Kelsen, D.P.; Sano, T. The newly proposed clinical and post-neoadjuvant treatment staging classifications for gastric adenocarcinoma for the American Joint Committee on Cancer (AJCC) staging. Gastric Cancer 2018, 21, 1–9. [Google Scholar] [CrossRef]
  39. Pitman, M.B.; Layfield, L.J. Guidelines for pancreaticobiliary cytology from the Papanicolaou Society of Cytopathology: A review. Cancer Cytopathol. 2014, 122, 399–411. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Kaplan–Meier estimates of overall survival of stage groups according to the AJCC staging system, 8th edition. (A) Comparison of stages (from I to IV). (B) Comparison of substages (from IA to IIB).
Figure 1. Kaplan–Meier estimates of overall survival of stage groups according to the AJCC staging system, 8th edition. (A) Comparison of stages (from I to IV). (B) Comparison of substages (from IA to IIB).
Cancers 14 04672 g001aCancers 14 04672 g001b
Figure 2. Overall survival of non-metastatic pancreatic cancer patients according to the AJCC staging system, 8th edition, stratified by N staging.
Figure 2. Overall survival of non-metastatic pancreatic cancer patients according to the AJCC staging system, 8th edition, stratified by N staging.
Cancers 14 04672 g002
Table 1. American Joint Committee on Cancer 8th Edition Staging System for Pancreatic Cancer.
Table 1. American Joint Committee on Cancer 8th Edition Staging System for Pancreatic Cancer.
TPrimary TumorNNumber of Regional PLNsStageTNM
T1≤2 cmN00IA100
T2>2 cm, ≤4 cmN11 to 3IB200
T3>4 cmN2≥4IIA300
T4CA, SMA, and/or CHA invasion IIB1–310
III4Any0
Any2
IVAnyAny1
Abbreviations: PLN—positive lymph node; CA—celiac axis; SMA—superior mesenteric artery; CHA—common hepatic artery.
Table 2. Patient Characteristics.
Table 2. Patient Characteristics.
n = 1043
Sex
Female466 (44.7)
Male577 (55.3)
Age, years
65 (30–89)
BMI, kg/m2
22.5 (13.4–34.9)
ECOG-PS
0534/798 (66.9)
1207/798 (26.0)
≥257/798 (7.1)
Level of CA 19-9
Normal239/1035 (23.1)
Elevated796/1035 (76.9)
Tumor location in the pancreas
Head454 (43.5)
Body 217 (20.8)
Tail192 (18.4)
Overlapped180 (17.3)
Tumor size on image at diagnosis, cm
3.7 (0.2–15.8)
Resectability
Resectable205 (19.7)
Borderline resectable112 (10.7)
Locally advanced187 (17.9)
Metastatic539 (51.7)
Pathologic diagnosis
Adenocarcinoma942 (90.3)
IPMN with invasive carcinoma 14 (1.3)
Unspecified carcinoma87 (8.4)
Differentiation
Well94 (9.0)
Moderate301 (28.9)
Poor109 (10.5)
Not evaluable539 (51.7)
Treatment
Upfront surgery150 (14.4)
Neoadjuvant therapy, resected31 (3.0)
Neoadjuvant therapy, not resected69 (6.6)
Adjuvant therapy129 (12.4)
Palliative therapy (chemo or CCRT)719 (68.9)
Only BSC188 (18.0)
Abbreviations: BMI—body mass index; ECOG-PS—Eastern Cooperative Oncology Group performance status; CA—carbohydrate antigen; IPMN—intraductal papillary mucinous neoplasm; CCRT—concurrent chemoradiotherapy; BSC—best supportive care. Variables are presented as a median (range) or n (%).
Table 3. Patient Distributions of Clinical Stages.
Table 3. Patient Distributions of Clinical Stages.
n = 10438th Edition
n%
T Stage
T1817.8
T236434.9
T318417.6
T441439.7
N stage
N070867.9
N120719.8
N212812.3
Stage
IA (T1N0M0) 706.7
IB (T2N0M0)18417.6
IIA (T3N0M0)393.7
IIB (T1–3N1M0)282.7
III (T4 or N2M0)18317.5
IV (TxNxM1)53951.7
n (%)8th edition
T1T2T3T4
All patients
(n = 1043)
N076 (7.3)285 (27.3)101 (9.7)246 (23.6)
N14 (0.4)58 (5.6)50 (4.8)95 (9.1)
N21 (0.1)21 (2.0)33 (3.2)73 (7.0)
Localized (M0)
(n = 504)
N070 (13.9)184 (36.5)39 (7.7)136 (27.0)
N12 (0.4)20 (4.0)6 (1.2)34 (6.7)
N21 (0.2)3 (0.6)1 (0.2)8 (1.6)
Table 4. Changes in Distribution of Patients before and after Upfront Surgery according to the AJCC 8th Edition (n = 150).
Table 4. Changes in Distribution of Patients before and after Upfront Surgery according to the AJCC 8th Edition (n = 150).
Pathological Stage
IAIBIIAIIBIII (All N2)Total, n (%)
Clinical stageIA1316413854 (36.0)
IB5282241271 (47.3)
IIA0073111 (7.3)
IIB010539 (6.0)
III000415 (3.4)
Total, n (%)18 (12.0)45 (30.0)13 (8.7)49 (32.7)25 (16.6)150
Table 5. Comparison of Performance.
Table 5. Comparison of Performance.
C-Index (95% CI)iAUC (95% CI)AICLikelihood Ratio χ2Linear Trend χ2
8th edition0.671 (0.653–0.688)0.654 (0.637–0.670)9878.689286.0384195.7435
7th edition0.667 (0.649–0.684)0.650 (0.634–0.665)9885.982278.7454214.2208
8th vs. 7th0.004 (0.001–0.008)0.004 (0.001–0.008)---
Abbreviations: C-index, Harrell’s concordance index; CI—confidence interval; iAUC—Heagerty’s integrated area under the curve; AIC—Akaike information criterion.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kang, H.; Kim, S.-s.; Sung, M.J.; Jo, J.H.; Lee, H.S.; Chung, M.J.; Park, J.Y.; Park, S.W.; Song, S.Y.; Park, M.-S.; et al. Evaluation of the 8th Edition AJCC Staging System for the Clinical Staging of Pancreatic Cancer. Cancers 2022, 14, 4672. https://doi.org/10.3390/cancers14194672

AMA Style

Kang H, Kim S-s, Sung MJ, Jo JH, Lee HS, Chung MJ, Park JY, Park SW, Song SY, Park M-S, et al. Evaluation of the 8th Edition AJCC Staging System for the Clinical Staging of Pancreatic Cancer. Cancers. 2022; 14(19):4672. https://doi.org/10.3390/cancers14194672

Chicago/Turabian Style

Kang, Huapyong, Seung-seob Kim, Min Je Sung, Jung Hyun Jo, Hee Seung Lee, Moon Jae Chung, Jeong Youp Park, Seung Woo Park, Si Young Song, Mi-Suk Park, and et al. 2022. "Evaluation of the 8th Edition AJCC Staging System for the Clinical Staging of Pancreatic Cancer" Cancers 14, no. 19: 4672. https://doi.org/10.3390/cancers14194672

APA Style

Kang, H., Kim, S. -s., Sung, M. J., Jo, J. H., Lee, H. S., Chung, M. J., Park, J. Y., Park, S. W., Song, S. Y., Park, M. -S., & Bang, S. (2022). Evaluation of the 8th Edition AJCC Staging System for the Clinical Staging of Pancreatic Cancer. Cancers, 14(19), 4672. https://doi.org/10.3390/cancers14194672

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop