Cancer is the second leading cause of death globally. Although, there are many different approaches to cancer treatment, they are often painful due to adverse side effects and are sometimes ineffective due to increasing resistance to classical anti-cancer drugs or radiation therapy. Targeting delayed/inhibited apoptosis is a major approach in cancer treatment and a highly active area of research. Plant derived natural compounds are of major interest due to their high bioavailability, safety, minimal side effects and, most importantly, cost effectiveness. Flavonoids have gained importance as anti-cancer agents and have shown great potential as cytotoxic anti-cancer agents promoting apoptosis in cancer cells. In this review, a summary of flavonoids and their effectiveness in cancer treatment targeting apoptosis has been discussed.

https://www.mdpi.com/2072-6694/11/1/28/pdf

Flavonoids in Cancer and Apoptosis.

Application of Artificial Intelligence to Gastroenterology and Hepatology

Artificial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of medical personnel for the cumbersome and tedious process to manually label training data. These constraints make it difficult to develop systems for automatic analysis, like detecting disease or other lesions. In this respect, this article presents HyperKvasir, the largest image and video dataset of the gastrointestinal tract available today. The data is collected during real gastro- and colonoscopy examinations at Baerum Hospital in Norway and partly labeled by experienced gastrointestinal endoscopists. The dataset contains 110,079 images and 374 videos, and represents anatomical landmarks as well as pathological and normal findings. The total number of images and video frames together is around 1 million. Initial experiments demonstrate the potential benefits of artificial intelligence-based computer-assisted diagnosis systems. The HyperKvasir dataset can play a valuable role in developing better algorithms and computer-assisted examination systems not only for gastro- and colonoscopy, but also for other fields in medicine.

/pdf/hyperkvasir-a-comprehensive-multi-class-image-and-video-5a4535kwsq.pdf

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy.

Background: Genistein is one among the several other known isoflavones that is found in different soybeans and soy products. The chemical name of genistein is 4',5,7-trihydroxyisoflavone. Genistein has drawn attention of scientific community because of its potential beneficial effects on human grave diseases, such as cancer. Mechanistic insight of genistein reveals its potential for apoptotic induction, cell cycle arrest, as well as antiangiogenic, antimetastatic, and anti-inflammatory effects. Objective: The purpose of this review is to unravel and analyze various molecular mechanisms of genistein in diverse cancer models. Data sources: English language literature was searched using various databases, such as PubMed, ScienceDirect, EBOSCOhost, Scopus, Web of Science, and Cochrane Library. Key words used in various combinations included genistein, cancer, anticancer, molecular mechanisms prevention, treatment, in vivo, in vitro, and clinical studies. Study selection: Study selection was carried out strictly in accordance with the statement of Preferred Reporting Items for Systematic Reviews and Meta-analyses. Data extraction: Four authors independently carried out the extraction of articles. Data synthesis: One hundred one papers were found suitable for use in this review. Conclusion: This review covers various molecular interactions of genistein with various cellular targets in cancer models. It will help the scientific community understand genistein and cancer biology and will provoke them to design novel therapeutic strategies.

/pdf/molecular-mechanisms-of-action-of-genistein-in-cancer-recent-2s5gttv74d.pdf

Molecular Mechanisms of Action of Genistein in Cancer: Recent Advances

Effects of SGLT2 inhibitors on systemic and tissue low-grade inflammation: The potential contribution to diabetes complications and cardiovascular disease.

Genistein induced anticancer effects on pancreatic cancer cell lines involves mitochondrial apoptosis, G0/G1cell cycle arrest and regulation of STAT3 signalling pathway

Endoscopy has been widely used in diagnosing gastrointestinal mucosal lesions. However, there are still lack of objective endoscopic criteria. Linked color imaging (LCI) is newly developed endoscopic technique which enhances color contrast. Thus, we investigated the clinical application of LCI and further analyzed pixel brightness for RGB color model. All the lesions were observed by white light endoscopy (WLE), LCI and blue laser imaging (BLI). Matlab software was used to calculate pixel brightness for red (R), green (G) and blue color (B). Of the endoscopic images for lesions, LCI had significantly higher R compared with BLI but higher G compared with WLE (all P < 0.05). R/(G + B) was significantly different among 3 techniques and qualified as a composite LCI marker. Our correlation analysis of endoscopic diagnosis with pathology revealed that LCI was quite consistent with pathological diagnosis (P = 0.000) and the color could predict certain kinds of lesions. ROC curve demonstrated at the cutoff of R/(G+B) = 0.646, the area under curve was 0.646, and the sensitivity and specificity was 0.514 and 0.773. Taken together, LCI could improve efficiency and accuracy of diagnosing gastrointestinal mucosal lesions and benefit target biopsy. R/(G + B) based on pixel brightness may be introduced as a objective criterion for evaluating endoscopic images.

/pdf/linked-color-imaging-application-for-improving-the-3fy2wz4mrd.pdf

Linked color imaging application for improving the endoscopic diagnosis accuracy: a pilot study.

We developed a computer-aided diagnosis (CAD) system based on linked color imaging (LCI) images to predict the histological results of polyps by analyzing the colors of the lesions. A total of 139 images of adenomatous polyps and 69 images of non-adenomatous polyps obtained from our hospital were collected and used to train the CAD system. A test set of LCI images, including both adenomatous and non-adenomatous polyps, was prospectively collected from patients who underwent colonoscopies between Oct and Dec 2017; this test set was used to assess the diagnostic abilities of the CAD system compared to those of human endoscopists (two experts and two novices). The accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of this novel CAD system for the training set were 87.0%, 87.1%, 87.0%, 93.1%, and 76.9%, respectively. The test set included 115 adenomatous polyps and 66 non-adenomatous polyps that were prospectively collected. The CAD system identified adenomatous or non-adenomatous polyps in the test set with an accuracy of 78.4%, a sensitivity of 83.3%, a specificity of 70.1%, a PPV of 82.6%, and an NPV of 71.2%. The accuracy of the CAD system was comparable to that of the expert endoscopists (78.4% vs 79.6%; p = 0.517). In addition, the diagnostic accuracy of the novices was significantly lower to the performance of the experts (70.7% vs 79.6%; p = 0.018). A novel CAD system based on LCI could be a rapid and powerful decision-making tool for endoscopists.

/pdf/computer-aided-diagnosis-of-colorectal-polyps-using-linked-3cknc18cjh.pdf

Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology

Interleukin enhancer binding factor 2 (ILF2) has been found to be markedly upregulated in pancreatic carcinoma and is involved in the pathogenesis of pancreatic carcinoma. Thus, ILF2 may be a potential target for therapy. Yet, the regulatory mechanisms of ILF2 in pancreatic carcinoma remain largely elusive. In the present study, we demonstrated that ILF2 functioned as an oncogene and regulated epithelial-mesenchymal transition (EMT)-associated genes in pancreatic carcinoma PANC-1 cells. MicroRNA-7 (miR-7) suppressed ILF2 mRNA expression and the protein level in PANC-1 cells. Contrary to ILF2, miRNA-7 functioned as a tumor-suppressor gene and negatively regulated EMT-associated genes in the PANC-1 cells. Curcumin, a polyphenol natural product isolated from the rhizome of the plant Curcuma longa, has emerged as a promising anticancer therapeutic agent. We found that treatment with curcumin increased miR-7 expression and suppressed ILF2 protein in the PANC-1 cells. Thus, we identified ILF2 as a new downstream target gene of curcumin. The results revealed that ILF2 is regulated by miR-7 and suggest that downregulation of miR-7 may be an important factor for the ILF2 overexpression in pancreatic carcinoma.

/pdf/microrna-7-functions-as-a-tumor-suppressor-gene-by-2f20lksk8g.pdf

MicroRNA-7 functions as a tumor-suppressor gene by regulating ILF2 in pancreatic carcinoma.

Gastric diseases are common in China, and gastroduodenoscopy could provide accurate diagnoses. Our previous study verified that linked colour imaging (LCI) can improve endoscopic diagnostic accuracy. This study aimed for the first time to establish an LCI-based endoscopic model called colour-microstructure-vessel (CMV) criteria and validated its clinical feasibility for detecting distal gastric diseases manifested as red mucosal lesions under endoscopy in a cohort of 62 patients. Colour features were extracted from the endoscopic images and categorized into 3 types. Colour type 1 was a typical red; Colour type 2 was red ringed with purple and Colour type 3 was red with yellow in the centre and purple around the periphery, allowing for predicting chronic nonatrophic gastritis, chronic atrophic gastritis and gastric cancer. The sensitivity, specificity and Youden index of Colour type 3 with abnormal M or V for gastric cancer were 100.0%, 98.2% and 98.2%. The kappa values for intra-observer and inter-observer agreement for predicting the pathology were 0.834 and 0.791 for experienced endoscopists and 0.788 and 0.732 for endoscopy learners, and these values were comparable regardless of the experience of the endoscopists (P > 0.05). These findings support that the CMV criteria are a promising model for accurate endoscopic diagnosis.

/pdf/linked-colour-imaging-benefits-the-endoscopic-diagnosis-of-36aydl2c4r.pdf

Yiliang Bi

Papers

Genistein induced anticancer effects on pancreatic cancer cell lines involves mitochondrial apoptosis, G0/G1cell cycle arrest and regulation of STAT3 signalling pathway

Linked color imaging application for improving the endoscopic diagnosis accuracy: a pilot study.

Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology

MicroRNA-7 functions as a tumor-suppressor gene by regulating ILF2 in pancreatic carcinoma.

Linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases