Evidence map›Paper›PMID 42789097›Full record

ArticleVirchows Archiv : an international journal of pathology2026

A modified CAP-based grading system incorporating non-tubular components for prognostic stratification in pancreatic ductal adenocarcinoma.

Naoki Sano, Eriko Ikeda, Kozue Ando, Shin Kabasawa, Mio Sakaguchi, Satoe Numakura, Atsushi Kanno, Hideki Sasanuma, Hirotoshi Kawata, Noriyoshi Fukushima

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Article in Virchows Archiv : an international journal of pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

10 authors.

Naoki SanoDepartment of Pathology, Jichi Medical University Hospital, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Eriko IkedaDepartment of Pathology, Jichi Medical University Hospital, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Kozue AndoDepartment of Gastroenterology, Jichi Medical University Hospital, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Shin KabasawaDepartment of Pathology, Jichi Medical University Hospital, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Mio SakaguchiDepartment of Pathology, Jichi Medical University Hospital, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Satoe NumakuraDepartment of Pathology, Jichi Medical University Hospital, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Atsushi KannoDepartment of Gastroenterology, Jichi Medical University Hospital, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Hideki SasanumaDepartment of Surgery, Jichi Medical University Hospital, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Hirotoshi KawataDepartment of Pathology, Jichi Medical University Hospital, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan.
Noriyoshi FukushimaDepartment of Pathology, Jichi Medical University Hospital, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan. nfukushima@jichi.ac.jp.ORCID http://orcid.org/0000-0002-4522-9007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains highly lethal; however, early-stage cases with improved survival are increasingly detected, underscoring the need for more standardized and clinically applicable histological grading in routine diagnostic practice. Based on 139 resected PDACs without neoadjuvant therapy, including 41 pT1 tumors, we propose a modified CAP-based grading system (mCAP). This system assesses the overall proportion of non-tubular components (NTC) and dense non-tubular clusters (DNTC), the latter defined as ≥ 30 non-tubular clusters within a 0.785 mm² area. DNTC was incorporated to capture focal dense non-tubular morphology not adequately reflected by overall NTC proportion alone. Tumors were classified as G1 (< 10% NTC and DNTC-negative), G2 (10-<50% NTC or < 10% NTC with DNTC positivity), or G3 (≥ 50% NTC). In Kaplan-Meier and log-rank analyses, mCAP showed prognostic stratification for both disease-free survival (DFS) and overall survival (OS). In multivariable Cox analysis for pT1c-pT3 tumors, mCAP G2/G3 remained independently associated with worse prognosis: the adjusted hazard ratios for mCAP G2/G3 versus G1 were 5.23 for DFS (95% confidence interval [CI], 2.58-10.61; P < 0.001) and 3.06 for OS (95% CI, 1.66-5.65; P < 0.001). In grade-only Cox models, mCAP showed the lowest Akaike information criterion (AIC) values for both DFS and OS among the three grading systems, suggesting more favorable model fit for mCAP. In the interobserver reproducibility study, unweighted Fleiss' kappa coefficients were 0.287 for WHO, 0.500 for CAP, and 0.531 for mCAP. Overall, mCAP may refine morphology-based risk stratification in resected PDAC.

Indexed as

Histological gradingInterobserver reproducibilityNon-tubular componentsPancreatic ductal adenocarcinomaPrognosisTumor budding

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.