Clinicopathological and prognostic features of colorectal mucinous adenocarcinomas: a systematic review and meta-analysis.

Background: Many studies have explored the clinicopathological features and prognosis between colorectal mucinous adenocarcinoma (MAC) and adenocarcinoma (AC) and have given different results. This meta-analysis summarizes previous evidence and evaluates the clinicopathological and prognostic features of MAC relative to AC in colorectal cancers (CRCs).

Methods: The meta-analysis was conducted by searching the databases of PubMed, China National Knowledge Infrastructure (CNKI), WANFANG data, Embase, and Web of Science.

Semi-supervised multi-modal medical image segmentation with unified translation.

The two major challenges to deep-learning-based medical image segmentation are multi-modality and a lack of expert annotations. Existing semi-supervised segmentation models can mitigate the problem of insufficient annotations by utilizing a small amount of labeled data. However, most of these models are limited to single-modal data and cannot exploit the complementary information from multi-modal medical images.

Defunctioning stoma and anastomotic stricture in rectal cancer surgery: a propensity score matching study.

Background: In cases of rectal cancer surgery, patients at high risk of anastomotic leakage often receive a defunctioning stoma (DS). However, its role in postoperative anastomotic strictures (AS) remains unclear. This study aimed to investigate the correlation between DS and AS and outcomes of transanal endoscopic microsurgery (TEM) in treating rectal AS.

Development and validation of a nomogram for predicting operating time in laparoscopic anterior resection of rectal cancer.

Aims: The goal of this study is to create and verify a nomogram estimate operating time in rectal cancer (RC) patients based on clinicopathological factors and MRI/CT measurements before surgery.

Materials And Methods: The nomogram was developed in a cohort of patients who underwent laparoscopic anterior resection (L-AR) for RC. The clinicopathological and pelvis parameters were collected.

circSLC4A7 accelerates stemness and progression of gastric cancer by interacting with HSP90 to activate NOTCH1 signaling pathway.

Gastric cancer stem cells (GCSCs) play critical roles in gastric cancer (GC) initiation and development. Circular RNAs (circRNAs) participate in diverse cancer biological processes and function as tumor suppressors or oncogenes. This study aims to discover the expression profile and functional roles of circRNAs in GCSCs.

A remarkably diverse and well-organized virus community in a filter-feeding oyster.

Background: Viruses play critical roles in the marine environment because of their interactions with an extremely broad range of potential hosts. Many studies of viruses in seawater have been published, but viruses that inhabit marine animals have been largely neglected. Oysters are keystone species in coastal ecosystems, yet as filter-feeding bivalves with very large roosting numbers and species co-habitation, it is not clear what role they play in marine virus transmission and coastal microbiome regulation.

A discussion of RNA virus taxonomy based on the 2020 International Committee on Taxonomy of Viruses report.

RNA viruses have a higher mutation rate than DNA viruses; however, RNA viruses are insufficiently studied outside disease settings. The International Committee on Taxonomy of Viruses (ICTV) is an organization set up by virologists to standardize virus classification. To better understand ICTV taxonomy and the characteristics and rules of different RNA virus families, we analyzed the 3,529 RNA viruses included in the 2020 ICTV report using five widely used metrics: length, host, GC content, number of predicted ORFs, and sequence similarity.

Factors contributing to the mortality of elderly patients with colorectal cancer within a year after surgery.

Aims: Patients with colorectal cancer (CRC) have a lower survival rate during the first year following resection surgery. We analyzed the factors influencing this early mortality.

Methods And Material: The clinicopathological data of patients aged 70 years or older who underwent radical surgery for CRC between January 2012 and December 2018 were collected and analyzed retrospectively.

Clinical significance of mucinous component in colorectal adenocarcinoma: a propensity score-matched study.

Background: This study aims to investigate the clinical significance and prognostic value of mucinous component (MC) in colorectal adenocarcinoma (AC).

Methods: Patients with colorectal AC and AC with MC (ACMC) (1-100%) underwent surgical resection between January 2007 and February 2018 were retrospectively reviewed. Propensity score matching (PSM) was performed according to a 1:1 ratio.

Risk factors and treatment of rectal stenosis after transanal endoscopic microsurgery.

Aim: Rectal stenosis is a relatively rare complication after transanal endoscopic microsurgery (TEM). This study aims to identify the predictive parameters for stenosis and the application of TEM in the treatment.

Method: The clinical data of patients who underwent TEM for rectal adenoma and early cancer from 2008 to 2019 were retrospectively reviewed.

Clinical significance of FBXW7 tumor suppressor gene mutations and expression in human colorectal cancer: a systemic review and meta-analysis.

Background: Various studies investigating the clinical significance of FBXW7 mutation and/or expression have yielded inconclusive results in colorectal cancer (CRC) patients. Therefore, the present meta-analysis summarizes previous evidence and evaluates the clinical significance, including the prognostic role, of FBXW7 status in CRCs.

Methods: The meta-analysis was conducted by searching the databases of PubMed, China National Knowledge Infrastructure (CNKI), WANFANG data, Web of Science, Embase, and Web of Science.

Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images.

To fully define the target objects of interest in clinical diagnosis, many deep convolution neural networks (CNNs) use multimodal paired registered images as inputs for segmentation tasks. However, these paired images are difficult to obtain in some cases. Furthermore, the CNNs trained on one specific modality may fail on others for images acquired with different imaging protocols and scanners.