Epidermal growth factor receptor (EGFR) is highly conserved in pancreatic cancer

BACKGROUND: Pancreatic cancer remains a deadly disease, and the vast majority of pancreatic cancer patients are not candidates for treatment with curative intent. Erlotinib, an EGFR-specific tyrosine kinase inhibitor, was approved recently for use in patients with pancreatic cancer. Somatic mutations in the EGFR gene appear to predict survival and response to tyrosine kinase inhibitor therapy in a subset of patients with non-small-cell lung cancer (NSCLC). METHODS: The purpose of this study was to characterize EGFR mutations in pancreatic adenocarcinoma. EGFR TK mutations were analyzed in 9 pancreatic carcinoma cell lines and 31 clinical specimens from patients with pancreatic cancer who underwent resection. Using laser capture microdissection, tumor cells from patients were harvested selectively for genomic DNA extraction. Mutations were examined by direct sequencing of exons 18-21. RESULTS: Of 9 pancreatic cancer cell lines, 6 had either 2454G>A or 2361G>A mutations in exon 20. Of 31 patients, 25 patients had 2361G>A in exon 20, and 1 patient had 2508C>T in exon 21. All were silent mutations. CONCLUSIONS: The EGFR tyrosine kinase domain is highly conserved in pancreatic cancer. The association among EGFR mutation status, clinical prognosis, and response to anti-EGFR therapy described in NSCLC may not be applicable to pancreatic cancer. This observation does not diminish the possible role of anti-EGFR therapy in pancreatic cancer because there remains a need to explore alternative explanations for pancreatic cancer aberrant EGFR pathway activation such as ligand overexpression, gene amplification, and loss of inhibitory mechanisms.     

Defined Clinical Classifications Are Associated with Outcome of Patients with Anatomically Resectable Pancreatic Adenocarcinoma Treated with Neoadjuvant Therapy

Background

We previously introduced a classification system for patients with localized pancreatic adenocarcinoma that integrates assessments of tumor anatomy, cancer biology, and patient physiology. By means of this system, we sought to analyze outcomes of patients with resectable anatomy but heterogeneous biology and physiology who were treated with neoadjuvant therapy.

Methods

We evaluated consecutive patients (2002?C2007) with anatomically potentially resectable cancers treated with chemotherapy or chemoradiation before potential pancreatectomy. We compared clinical factors and outcomes of patients classified as having disease that was clinically resectable (CR; no extrapancreatic disease, preserved performance status); suspicion for extrapancreatic disease (BR-B); or marginal performance status or significant comorbidity (BR-C). Patients with borderline resectable anatomy (BR-A) were excluded.

Results

Resection rates for 138 CR, 41 BR-B, and 38 BR-C patients were 75, 46, and 37%, respectively (P?P?P?>?0.22).

Conclusions

This system describes discrete clinical subgroups of patients with pancreatic cancer who have similar, potentially resectable tumor anatomy but heterogeneous physiology and cancer biology. It may be used with neoadjuvant therapy to predict outcomes, individualize treatment algorithms, and optimize survival.     

Deep Learning-based Artificial Intelligence Improves Accuracy of Error-prone Lung Nodules

Introduction: Early detection of lung cancer is one way to improve outcomes. Improving the detection of nodules on chest CT scans is important. Previous artificial intelligence (AI) modules show rapid advantages, which improves the performance of detecting lung nodules in some datasets. However, they have a high false-positive (FP) rate. Its effectiveness in clinical practice has not yet been fully proven. We aimed to use AI assistance in CT scans to decrease FP.Materials and methods: CT images of 60 patients were obtained. Five senior doctors who were blinded to these cases participated in this study for the detection of lung nodules. Two doctors performed manual detection and labeling of lung nodules without AI assistance. Another three doctors used AI assistance to detect and label lung nodules before manual interpretation. The AI program is based on a deep learning framework.Results: In total, 266 nodules were identified. For doctors without AI assistance, the FP was 0.617-0.650/scan and the sensitivity was 59.2-67.0%. For doctors with AI assistance, the FP was 0.067 to 0.2/scan and the sensitivity was 59.2-77.3% This AI-assisted program significantly reduced FP. The error-prone characteristics of lung nodules were central locations, ground-glass appearances, and small sizes. The AI-assisted program improved the detection of error-prone nodules.Conclusions: Detection of lung nodules is important for lung cancer treatment. When facing a large number of CT scans, error-prone nodules are a great challenge for doctors. The AI-assisted program improved the performance of detecting lung nodules, especially for error-prone nodules.     

Severe burn injury from the common Asian practice of heat application in patients with diabetic neuropathy

This was the first study to analyse patients who sustained severe self‐induced burns from this common Asian practice. There is a need to raise public awareness and physician attention about the consequences of preventable burn injuries and the importance of first aid in patients with diabetic neuropathy. Retrospective data on 16 consecutive patients who had diabetes and neuropathy admitted to the plastic surgery ward at the Tri‐Service General Hospital from January 1, 2015, to February 2, 2021 with burn injuries because of heat applications were collected and analysed for this study. Age, gender, season, first aid adequacy, comorbidity, interventions, total body surface area (TBSA), degree of burn, aetiology, length of stay (LOS), and status at discharge were reviewed. The mean age of the 16 patients was 65.13 years. The most common burn aetiology was contact (50%), followed by scald (37.5%) and radiation burns (12.5%). TBSA burn averaged ± standard deviation 1.54 ± 1.22. Seven patients (44%) had wound infections, and three patients underwent amputations. The average LOS was 28.2 days. Asian practice of heat application is the common aetiology of severe and preventable burn injuries. Education about neuropathy and the consequences of a burn injury should be provided to patients with diabetes.     

Fish Oil Enriched n-3 Polyunsaturated Fatty Acids Improve Ketogenic Low-Carbohydrate/High-Fat Diet-Caused Dyslipidemia,Excessive Fat Accumulation,and Weight Control in Rats

Low-carbohydrate and high-fat diets have been used for body weight (BW) control, but their adverse effects on lipid profiles have raised concern. Fish oil (FO), rich in omega-3 polyunsaturated fatty acids, has profound effects on lipid metabolism. We hypothesized that FO supplementation might improve the lipid metabolic disturbance elicited by low-carbohydrate and high-fat diets. Male SD rats were randomized into normal control diet (NC), high-fat diet (HF), and low-carbohydrate/high-fat diet (LC) groups in experiment 1, and NC, LC, LC + 5% FO (5CF), and LC + 10% FO diet (10CF) groups in experiment 2. The experimental duration was 11 weeks. In the LC group, a ketotic state was induced, and food intake was decreased; however, it did not result in BW loss compared to either the HF or NC groups. In the 5CF group, rats lost significant BW. Dyslipidemia, perirenal and epididymal fat accumulation, hepatic steatosis, and increases in triglyceride and plasma leptin levels were observed in the LC group but were attenuated by FO supplementation. These findings suggest that a ketogenic low-carbohydrate/high-fat diet with no favorable effect on body weight causes visceral and liver lipid accumulation. FO supplementation not only aids in body weight control but also improves lipid metabolism in low-carbohydrate/high-fat diet-fed rats.