An Epoxy Adhesive Mimicking the Mussel Mucin Used for Bonding Under Seawater.

With rising interest in various offshore equipment, bridges, and marine engineering, it is necessary to develop an epoxy resin adhesive that can cure quickly under seawater and has high bonding performance. In this paper, through mimicking mussel adhesive proteins, a biomimetic epoxy resin is designed and prepared for seawater adhesion. A mussel dopamine-like structure with cashew phenol and catechol as the main structure is prepared by the Mannich reaction, and the amino acids in mussel adhesive protein are simulated by the addition of decamethylene diamine.

Positively Charged Quasi-Metal-Organic Framework to Reconstruct an Electric Double Layer for a Durable Zn Metal Anode.

To reveal the construction principle of an electric double layer (EDL) on a Zn anode, a positively charged artificial solid electrolyte interphase (SEI) is established by a quasi-metal-organic framework with open metal sites (OMSs). As illustrated by theoretical calculation and in situ Raman and Fourier transform infrared spectroscopy characterization, the OMSs are introduced successfully and unsaturated Ce sites bond with SO anions as transfer sites for Zn, leading to a homogeneous ion distribution within the inner Helmholtz plane (IHP). Therefore, the distribution of Zn-HO-SO in the EDL has been adjusted due to the regulating effect by a SEI.

Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer.

Background: Accurate prediction of peritoneal recurrence for gastric cancer (GC) is crucial in clinic. The collagen alterations in tumor microenvironment affect the migration and treatment response of cancer cells. Herein, we proposed multitask machine learning-based tumor-associated collagen signatures (TACS), which are composed of quantitative collagen features derived from multiphoton imaging, to simultaneously predict peritoneal recurrence (TACS) and disease-free survival (TACS).

Predicting peritoneal recurrence in gastric cancer with serosal invasion using a pathomics nomogram.

Peritoneal recurrence is the most frequent and lethal recurrence pattern in gastric cancer (GC) with serosal invasion after radical surgery. However, current evaluation methods are not adequate for predicting peritoneal recurrence in GC with serosal invasion. Emerging evidence shows that pathomics analyses could be advantageous for risk stratification and outcome prediction.

Prognostic and predictive value of a pathomics signature in gastric cancer.

The current tumour-node-metastasis (TNM) staging system alone cannot provide adequate information for prognosis and adjuvant chemotherapy benefits in patients with gastric cancer (GC). Pathomics, which is based on the development of digital pathology, is an emerging field that might improve clinical management. Herein, we propose a pathomics signature (PS) that is derived from multiple pathomics features of haematoxylin and eosin-stained slides.

Association of Tumor-Associated Collagen Signature With Prognosis and Adjuvant Chemotherapy Benefits in Patients With Gastric Cancer.

Importance: The current TNM staging system provides limited information for prognosis prediction and adjuvant chemotherapy benefits for patients with gastric cancer (GC).

Objective: To develop a tumor-associated collagen signature of GC (TACSGC) in the tumor microenvironment to predict prognosis and adjuvant chemotherapy benefits in patients with GC.

Design, Setting, And Participants: This retrospective cohort study included a training cohort of 294 consecutive patients treated between January 1, 2012, and December 31, 2013, from Nanfang Hospital, Southern Medical University, People's Republic of China, and a validation cohort of 225 consecutive patients treated between October 1, 2010, and December 31, 2012, from Fujian Provincial Cancer Hospital, Fujian Medical University, People's Republic of China.

Development and validation of a collagen signature-based nomogram for preoperatively predicting lymph node metastasis and prognosis in colorectal cancer.

Background: Current preoperative evaluation approaches cannot provide adequate information for the prediction of lymph node (LN) metastasis in colorectal cancer (CRC). Collagen alterations in the tumor microenvironment affect the progression of tumor cells. To more accurately assess the LN status of CRC preoperatively, we developed and validated a collagen signature-based nomogram for predicting LN metastasis in CRC.

Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram.

Accurate prediction of peritoneal metastasis for gastric cancer (GC) with serosal invasion is crucial in clinic. The presence of collagen in the tumour microenvironment affects the metastasis of cancer cells. Herein, we propose a collagen signature, which is composed of multiple collagen features in the tumour microenvironment of the serosa derived from multiphoton imaging, to describe the extent of collagen alterations.

Laparoscopic resection is better than endoscopic dissection for gastric gastrointestinal stromal tumor between 2 and 5 cm in size: a case-matched study in a gastrointestinal center.

Background: The feasibility of endoscopic dissection for gastric gastrointestinal stromal tumor (gGIST) between 2 and 5 cm in size has been demonstrated. However, its impact on short-term and long-term outcomes, compared with laparoscopic resection, is unknown. The purpose of this study was to compare short-term and long-term outcomes between laparoscopic resection and endoscopic dissection for 2-5-cm gGIST.

Association of the tumour stroma percentage in the preoperative biopsies with lymph node metastasis in colorectal cancer.

Background: Preoperative prediction of lymph node (LN) status is integral to determining the most appropriate treatment strategy for colorectal cancer (CRC). This study aimed to develop and validate a nomogram to predict LN metastasis in CRC preoperatively.

Methods: A total of 530 patients were enrolled and divided into training and validation cohorts.

Association of the Collagen Signature in the Tumor Microenvironment With Lymph Node Metastasis in Early Gastric Cancer.

Importance: Lymph node status is the primary determinant in treatment decision making in early gastric cancer (EGC). Current evaluation methods are not adequate for estimating lymph node metastasis (LNM) in EGC.

Objective: To develop and validate a prediction model based on a fully quantitative collagen signature in the tumor microenvironment to estimate the individual risk of LNM in EGC.

High expression of TMEM40 contributes to progressive features of tongue squamous cell carcinoma.

Transmembrane protein 40 (TMEM40) is a 23‑kDa protein and its association with tongue squamous cell carcinoma (TSCC) remains unclear. This study aimed to investigate the expression and clinical significance of TMEM40 in TSCC and its roles in TSCC cells. Immunohistochemical analysis was performed to detect the expression levels of TMEM40 in 60 tongue tissue samples.

Expression of TMEM40 in bladder cancer and its correlation with clinicopathological parameters.

Transmembrane protein 40 (TMEM40) is a 23-kDa protein in cell membrane. There is no report that TMEM40 is associated with cancer. However, our study found that TMEM40 was high expressed in bladder cancer tissues.

Low expression of PinX1 is associated with malignant behavior in basal-like breast cancer.

Human Pinx1 protein, associated with shelterin proteins, is widely revealed as a haploinsufficient tumor suppressor. Growing evidence has manifested the deregulation of PinX1 in distinct cancers. Nonetheless, the loss status of PinX1 and its diagnostic, prognostic and clinicopathological significance in Basal-like breast cancer are still unclear.