![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Open AccessAnnoLnc: a web server for systematically annotating novel human lncRNAs
Long noncoding RNAs (lncRNAs) have been shown to play essential roles in almost every important biological process through multiple mechanisms. Although the repertoire of human lncRNAs has rapidly expanded, th...
-
Article
Open AccessThe IGCA staging system is more accurate than AJCC7 system in stratifying survival of patients with gastric cancer in stage III
A new staging system recently proposed by the IGCA has demonstrated a better capacity of stratifying different prognoses for gastric cancer than the 7th edition AJCC staging system (AJCC7). The aim of this stu...
-
Article
Open AccessStudy on safety of laparoscopic total gastrectomy for clinical stage I gastric cancer: the protocol of the CLASS02–01 multicenter randomized controlled clinical trial
The safety of laparoscopic total gastrectomy (LTG) for the treatment of gastric cancer remains lack of clinical evidence. The Chinese Laparoscopic Gastrointestinal Surgery Study (CLASS) Group recently launched...
-
Article
The role of oxaliplatin in the adjuvant setting of different Lauren’s type of gastric adenocarcinoma after D2 gastrectomy: a real-world study
To compare the efficacy of oxaliplatin-based and oxaliplatin-free adjuvant chemotherapies in patients with different Lauren type gastric cancers after D2 gastrectomy.
-
Article
Open AccessSystematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data
Systematic interrogation of single-nucleotide variants (SNVs) is one of the most promising approaches to delineate the cellular heterogeneity and phylogenetic relationships at the single-cell level. While SNV ...
-
Article
Open AccessGenomic basis for RNA alterations in cancer
Transcript alterations often result from somatic changes in cancer genomes1. Various forms of RNA alterations have been described in cancer, including overexpression2, altered splicing3 and gene fusions4; however...
-
Article
Open AccessPreparation and preliminary quality evaluation of aspirin/L-glutamate compound pellets
L-glutamate is an important component of protein. It can prevent gastrointestinal damage caused by NSAIDs. We constructed two-phase enteric-coated granules of aspirin and L-glutamate compound by extrusion sphe...
-
Article
Open AccessStemness-related LncRNA pair signature for predicting therapy response in gastric cancer
As a critical feature of cancers, stemness is acknowledged as a contributor to the development of drug resistance in gastric cancer (GC). LncRNAs have been revealed to participate in this process. In this stud...
-
Article
Open AccessAuthor Correction: Genomic basis for RNA alterations in cancer
-
Article
Open AccessDoes resection after neoadjuvant chemotherapy of docetaxel, oxaliplatin, and S-1 (DOS regimen) benefit for gastric cancer patients with single non-curable factor? a multicenter, prospective cohort study (Neo-REGATTA)
The Neo-REGATTA study evaluated the effectiveness and safety of Docetaxel, oxaliplatin, and S-1 (DOS regimen) followed by radical resection vs. chemotherapy in advanced gastric adenocarcinoma patients with sin...
-
Article
Open AccessA medical multimodal large language model for future pandemics
Deep neural networks have been integrated into the whole clinical decision procedure which can improve the efficiency of diagnosis and alleviate the heavy workload of physicians. Since most neural networks are...
-
Article
Open AccessEnhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale representation
Object detection holds a crucial role in medical diagnostics. Tasks like organ segmentation and malignancy diagnosis typically necessitate preliminary localization of corresponding anatomical structures. Preci...
-
Article
Open AccessEnhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences
This study aims to enhance supervised human activity recognition based on spatiotemporal graph convolutional neural networks by addressing two key challenges: (1) extracting local spatial feature information f...