Surgical Treatment of Hyperinsulinism During the Course of Pancreatic Cancer (Insulinoma) - One Center Experience

Grygiel, Katarzyna; Szmidt, J; Jeleńska, Magdalena; Pawlak, Katarzyna M.

doi:10.2478/v10035-012-0005-4

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…Investigation of the literature highlighted by MELODI informs us that increased insulin secretion is associated with some forms of pancreatic cancer. 21 In addition, we have also found using MR that elevated fasting levels of insulin are causally associated with pancreatic cancer (unpublished data at time of article press). Therefore, with information from MELODI and our own MR investigations, we can generate the following hypothesis for further investigation in the laboratory: ‘elevated levels of insulin cause pancreatic cancer in part through increased expression of the carnitine transporter in pancreatic cancer cells’.…”

Section: Resultsmentioning

confidence: 84%

MELODI: Mining Enriched Literature Objects to Derive Intermediates

Elsworth

Dawe

Vincent

et al. 2018

International Journal of Epidemiology

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BackgroundThe scientific literature contains a wealth of information from different fields on potential disease mechanisms. However, identifying and prioritizing mechanisms for further analytical evaluation presents enormous challenges in terms of the quantity and diversity of published research. The application of data mining approaches to the literature offers the potential to identify and prioritize mechanisms for more focused and detailed analysis.MethodsHere we present MELODI, a literature mining platform that can identify mechanistic pathways between any two biomedical concepts.ResultsTwo case studies demonstrate the potential uses of MELODI and how it can generate hypotheses for further investigation. First, an analysis of ETS-related gene ERG and prostate cancer derives the intermediate transcription factor SP1, recently confirmed to be physically interacting with ERG. Second, examining the relationship between a new potential risk factor for pancreatic cancer identifies possible mechanistic insights which can be studied in vitro.ConclusionsWe have demonstrated the possible applications of MELODI, including two case studies. MELODI has been implemented as a Python/Django web application, and is freely available to use at [www.melodi.biocompute.org.uk].

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Section: Resultsmentioning

confidence: 84%

MELODI: Mining Enriched Literature Objects to Derive Intermediates

Elsworth

Dawe

Vincent

et al. 2018

International Journal of Epidemiology

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“…Insulinoma is the most common functional neuroendocrine tumor of the pancreas [2] and its incidence is 0.396 per 100,000 person-years [1,[3][4][5], accounting for 1~2% of all pancreatic neoplasms [6]. Surgical resection is the only effective treatment for pancreatic insulinomas [7][8][9][10][11], and results in curing almost 95% of patients. However, some cases present problematic clinical situations, so clinical observation, monitoring and investigation are important aspects of the surgical treatment [12].…”

Section: Discussionmentioning

confidence: 99%

Analysis of a series for surgical management of insulinomas in central China

Qiao

Líu

Hu³

et al. 2021

Preprint

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The aims of this study were to summarize the characteristics of insulinoma in central China and to present our experience with surgical management in the Department of Hepatobiliary and Pancreatic Surgery of The First Affiliated Hospital of Zhengzhou University. 617 patients were enrolled in this retrospective analysis, including 89 cases of insulinoma and 528 cases of other pancreatic tumors. All patients had been confirmed by histopathology reports and underwent surgical treatment. Medical data and operative notes were incorporated into the database. Among the 617 patients, 4 died during the perioperative period. In the insulinoma group, no deaths occurred. The average size of the insulinoma tumor was 1.4±0.8 cm. The ratio of open surgical procedure (57) to laparoscopic resection (32) was 1.8/1. The mean interoperation blood loss was significantly lower in the laparoscopic group (LA) (mean 35.2±17.4ml, range from 10 to 170ml) than that in the open surgical (OA) group (mean 64.7±38.6ml, range from 25 to 400ml). The mean postoperative hospital stay was also lower in the LA group (mean 8.1 ± 3.2days, range from 5 to 20 days) than that in the OA group (Mean 13.1±8.2days, range from 9 to 60 days). There was no significant difference for postoperative complications between the two groups (LA:37.5% vs OA:40.3% ). The rate of clinically significant postoperative-pancreatic-fistula (POPF) was 21.3 %, and there was only one case of C-degree-POPF. The average length of postoperative- gastrointestinal function recovery was 2.8 ± 0.9 days. And the average length of blood glucose fluctuation was 18±7.2 days. During the follow-up, 2 cases were found to be hypoglycemic again, and the rate of significant weight loss was 57.3% (51/89). Insulinoma was rare among patients who underwent surgical treatment at the Department. Their cases were benign, and their treatment was unproblematic. However, there was a small group of cases that could be associated with problematic clinical situations, and, therefore, treatment of patients with insulinoma should be conducted at specialist centers. Correct diagnostic and therapeutic management, involving close cooperation between multiple medical specialists, results in completely curing most patients.

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“…Upon investigation of the literature underpinning the connections, we find that insulin treatment of skeletal muscle increases the expression of the carnitine transporter protein OCTN2 . Investigation of the literature highlighted by MELODI informs us that increased insulin secretion is associated with some forms of pancreatic cancer (Grygiel et al, 2012). In addition Fig.…”

Section: Carnitine and Pancreatic Cancermentioning

confidence: 93%

MELODI - Mining Enriched Literature Objects to Derive Intermediates

Elsworth

Dawe

Vincent

et al. 2017

Preprint

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Motivation: The scientific literature contains a wealth of information from different fields on potential disease mechanisms. However, prioritising mechanisms for further analytical evaluation presents enormous challenges in terms of the quantity and diversity of published research. The application of data mining approaches to the literature offers the potential to identify and prioritise mechanisms for more focused and detailed analysis. Results: Here we present MELODI, a literature mining platform that can identify mechanistic pathways between any two biomedical concepts. Two case studies demonstrate the potential uses of MELODI and how it can generate hypotheses for further investigation. Firstly, an analysis of ERG and prostate cancer derives the intermediate transcription factor SP1, recently confirmed to be physically interacting with ERG. Secondly, examining the relationship between a new potential risk factor for pancreatic cancer identifies possible mechanistic insights which can be studied in vitro.

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Surgical Treatment of Hyperinsulinism During the Course of Pancreatic Cancer (Insulinoma) - One Center Experience

Abstract: Based on the experience with 45 patients, surgical removal, aided by pre-operative localization with CT and endoscopic ultrasonography, is an effective and safe treatment for insulinomas.

Cited by 6 publications

References 15 publications

MELODI: Mining Enriched Literature Objects to Derive Intermediates

MELODI: Mining Enriched Literature Objects to Derive Intermediates

Analysis of a series for surgical management of insulinomas in central China

MELODI - Mining Enriched Literature Objects to Derive Intermediates

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