Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 258

The DOI matches its Crossref record.

Poorly Differentiated Neuroendocrine Carcinomas of the Pancreas: A Clinicopathologic Analysis of 44 Cases

Open access
Basturk, Olca, Tang, Laura, Hruban, Ralph H., Adsay, Volkan, Yang, Zhaohai, Krasinskas, Alyssa M., Vakiani, Efsevia, La Rosa, Stefano, Jang, Kee-Taek, Frankel, Wendy L., Liu, Xiuli, Zhang, Lizhi, Giordano, Thomas J., Bellizzi, Andrew M., Chen, Jey-Hsin, Shi, Chanjuan, Allen, Peter, Reidy, Diane L., Wolfgang, Christopher L., Saka, Burcu, Rezaee, Neda, Deshpande, Vikram, Klimstra, David S.·2014·American Journal of Surgical Pathology

Abstract

BACKGROUND: In the pancreas, poorly differentiated neuroendocrine carcinomas include small cell carcinoma and large cell neuroendocrine carcinoma and are rare; data regarding their pathologic and clinical features are very limited. DESIGN: A total of 107 pancreatic resections originally diagnosed as poorly differentiated neuroendocrine carcinomas were reassessed using the classification and grading (mitotic rate/Ki67 index) criteria put forth by the World Health Organization in 2010 for the gastroenteropancreatic system. Immunohistochemical labeling for neuroendocrine and acinar differentiation markers was performed. Sixty-three cases were reclassified, mostly as well-differentiated neuroendocrine tumor (NET) or acinar cell carcinoma, and eliminated. The clinicopathologic features and survival of the remaining 44 poorly differentiated neuroendocrine carcinomas were further assessed. RESULTS: The mean patient age was 59 years (range, 21 to 82 y), and the male/female ratio was 1.4. Twenty-seven tumors were located in the head of the pancreas, 3 in the body, and 11 in the tail. The median tumor size was 4 cm (range, 2 to 18 cm). Twenty-seven tumors were large cell neuroendocrine carcinomas, and 17 were small cell carcinomas (mean mitotic rate, 37/10 and 51/10 HPF; mean Ki67 index, 66% and 75%, respectively). Eight tumors had combined components, mostly adenocarcinomas. In addition, 2 tumors had components of well-differentiated NET. Eighty-eight percent of the patients had nodal or distant metastatic disease at presentation, and an additional 7% developed metastases subsequently. Follow-up information was available for 43 patients; 33 died of disease, with a median survival of 11 months (range, 0 to 104 mo); 8 were alive with disease, with a median follow-up of 19.5 months (range, 0 to 71 mo). The 2- and 5-year survival rates were 22.5% and 16.1%, respectively. CONCLUSIONS: Poorly differentiated neuroendocrine carcinoma of the pancreas is a highly aggressive neoplasm, with frequent metastases and poor survival. Most patients die within less than a year. Most (61%) are large cell neuroendocrine carcinomas. Well-differentiated NET and acinar cell carcinoma are often misdiagnosed as poorly differentiated neuroendocrine carcinoma, emphasizing that diagnostic criteria need to be clearly followed to ensure accurate diagnosis.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/pas.0000000000000169

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 258

Metadata

Authors
Basturk, O., Tang, L., Hruban, R. H., Adsay, V., Yang, Z., Krasinskas, A. M., Vakiani, E., La Rosa, S., Jang, K.-T., Frankel, W. L., Liu, X., Zhang, L., Giordano, T. J., Bellizzi, A. M., Chen, J.-H., Shi, C., Allen, P., Reidy, D. L., Wolfgang, C. L., Saka, B., Rezaee, N., Deshpande, V., & Klimstra, D. S.
Venue
American Journal of Surgical Pathology
Published
2014-04
Volume
38
Issue
4
Pages
437-447
ISSN
0147-5185 (ISSN-L)
OpenAlex
W2085033505
Cited by
258
References
0
FWCI
17.53
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Poorly Differentiated Neuroendocrine Carcinomas of the Pancreas: A Clinicopathologic Analysis of 44 Cases. https://app.cochat.ai/papers/10.1097/pas.0000000000000169
The paper
Basturk, O., Tang, L., Hruban, R. H., Adsay, V., Yang, Z., Krasinskas, A. M., Vakiani, E., La Rosa, S., Jang, K.-T., Frankel, W. L., Liu, X., Zhang, L., Giordano, T. J., Bellizzi, A. M., Chen, J.-H., Shi, C., Allen, P., Reidy, D. L., Wolfgang, C. L., . . . Klimstra, D. S. (2014). Poorly Differentiated Neuroendocrine Carcinomas of the Pancreas: A Clinicopathologic Analysis of 44 Cases. American Journal of Surgical Pathology. https://doi.org/10.1097/pas.0000000000000169

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.