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Adenocarcinoma

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Imaging-based Machine-learning Models to Predict Clinical Outcomes and Identify Biomarkers in Pancreatic Cancer: A Scoping Review.

Annals of surgery
OBJECTIVE: To perform a scoping review of imaging-based machine-learning models to predict clinical outcomes and identify biomarkers in patients with PDAC.

Comparing outcomes of robotic versus open mesorectal excision for rectal cancer.

BJS open
BACKGROUND: The outcomes of robot-assisted mesorectal excision for rectal cancer, compared with open resection, have not been fully characterized.

Prognosticating Outcome in Pancreatic Head Cancer With the use of a Machine Learning Algorithm.

Technology in cancer research & treatment
The purpose of this project is to identify prognostic features in resectable pancreatic head adenocarcinoma and use these features to develop a machine learning algorithm that prognosticates survival for patients pursuing pancreaticoduodenectomy. A...

Automated sample preparation with SP3 for low-input clinical proteomics.

Molecular systems biology
High-throughput and streamlined workflows are essential in clinical proteomics for standardized processing of samples from a variety of sources, including fresh-frozen tissue, FFPE tissue, or blood. To reach this goal, we have implemented single-pot ...

[A Case of Jejunal Ectopic Pancreatic Cancer with Intestinal Perforation].

Gan to kagaku ryoho. Cancer & chemotherapy
This patient was a 96-year-old woman. She was referred to our hospital with abdominal pain and vomiting. The levels of the tumor markers CEA and CA19-9 were elevated, at 39.47 ng/mL and 918.5 U/mL, respectively. She was diagnosed with peritonitis wit...

Effect of normalization methods on the performance of supervised learning algorithms applied to HTSeq-FPKM-UQ data sets: 7SK RNA expression as a predictor of survival in patients with colon adenocarcinoma.

Briefings in bioinformatics
MOTIVATION: One of the main challenges in machine learning (ML) is choosing an appropriate normalization method. Here, we examine the effect of various normalization methods on analyzing FPKM upper quartile (FPKM-UQ) RNA sequencing data sets. We coll...

[CA19-9 Producing Gastric Cancer with Early Recurrence of Multiple Colon Metastases Following Gastrectomy-A Case Report].

Gan to kagaku ryoho. Cancer & chemotherapy
A 90-year-old male underwent total gastrectomy for gastric cancer 10 months earlier. The cancer was pathologically diagnosed as Stage ⅢA. Preoperative serum CA19-9 level was as high as 1,326 U/mL, but quickly decreased after surgery. Although the ser...

[A Surgical Case of AFP-Producing Gastric Cancer Discovered by Rupture of Liver Metastatic Lesion].

Gan to kagaku ryoho. Cancer & chemotherapy
A 57-year-old man visited our hospital with right hypochondralgia. Abdominal contrast CT showed a 10 cm sized mass in S6-7of the liver and abdominal hemorrhage areas. The tumor showed extrahepatic growth. Blood a-fetoprotein(AFP)was high at 4,447.9ng...

[A Case of Laparoscopic Resection for Locally Advanced Primary Rectal Cancer after Neoadjuvant Chemotherapy].

Gan to kagaku ryoho. Cancer & chemotherapy
We treateda 70-year-oldfemale patient with locally advancedrectal cancer accompaniedby metastases to other organs. Three courses of S-1 plus oxaliplatin(SOX)therapy were administered as neoadjuvant chemotherapy(NAC), andthe cancer was subsequently tr...

Convolutional neural networks for classification of alignments of non-coding RNA sequences.

Bioinformatics (Oxford, England)
MOTIVATION: The convolutional neural network (CNN) has been applied to the classification problem of DNA sequences, with the additional purpose of motif discovery. The training of CNNs with distributed representations of four nucleotides has successf...