Evidence map›Paper›PMID 27709361›Full record

ArticleVirchows Archiv : an international journal of pathology2016

Macroscopic features predict outcome in patients with pancreatic ductal adenocarcinoma.

Shutaro Hori, Kazuaki Shimada, Yoshinori Ino, Seiji Oguro, Minoru Esaki, Satoshi Nara, Yoji Kishi, Tomoo Kosuge, Yukinori Hattori, Aoi Sukeda and 3 more

Abstract read
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In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Shutaro HoriDivision of Molecular Pathology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Kazuaki ShimadaHepato-Biliary and Pancreatic Surgery Division, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Yoshinori InoDivision of Molecular Pathology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Seiji OguroDivision of Molecular Pathology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Minoru EsakiHepato-Biliary and Pancreatic Surgery Division, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Satoshi NaraHepato-Biliary and Pancreatic Surgery Division, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Yoji KishiHepato-Biliary and Pancreatic Surgery Division, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Tomoo KosugeHepato-Biliary and Pancreatic Surgery Division, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Yukinori HattoriDivision of Pathology and Clinical Laboratories, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Aoi SukedaDivision of Pathology and Clinical Laboratories, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Yuko KitagawaDepartment of Surgery, Keio University Graduate School of Medicine, 160 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Yae KanaiDivision of Molecular Pathology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Nobuyoshi HiraokaDivision of Molecular Pathology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan. nhiraoka@ncc.go.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As macroscopic appearance represents tumor microenvironment, it may also reflect the biological and clinicopathological characteristics of a cancer. The aim of the study was to evaluate the clinicopathological significance of the gross appearance of pancreatic ductal adenocarcinoma (PDA). We investigated fresh macroscopic features in 352 cases of PDA and their clinicopathological significance. Three unique gross features were found: a honeycomb-like appearance (diffusely distributed microcysts and interstitial fibrotic thickening), macroscopic necrosis, and a tube/branching structure (apparent small cylindrical or linear structure). A honeycomb-like appearance was present in 24 cases (6.8 %) and significantly associated with low serum CA19-9 level and well-differentiated adenocarcinoma. Macroscopic necrosis was present in 235 cases (66.8 %) and significantly correlated with tumor size, nodal metastasis, nerve plexus invasion, no adjuvant chemotherapy, and distant recurrence. The presence of macroscopic necrosis was significantly associated with shorter disease-specific survival (DSS) and disease-free survival (DFS). The presence of larger areas of necrosis (≥2 mm) was closely associated with shorter survival. A tube/branching structure was found in 179 cases (50.9 %), which was correlated with larger tumor size and no adjuvant chemotherapy and macroscopic necrosis. The presence of a tube/branching structure was significantly associated with shorter DSS and DFS. Multivariate survival analyses showed that the presence of tube/branching structures was an independent negative prognostic factor in patients having PDA. We suggest that the gross appearance of PDA reflects clinicopathological characteristics and may be useful in predicting prognosis.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overCarcinoma, Pancreatic DuctalChemotherapy, AdjuvantDisease-Free SurvivalFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalPredictive Value of TestsPrognosisTreatment OutcomeA honeycomb-like appearanceA tube/branching structureMacroscopic featuresMacroscopic necrosisPancreatic ductal adenocarcinomaPrognosis

Identifiers

PMID27709361

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Registered trials

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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.