Publications by authors named "Zaisheng Ye"

Article Synopsis
  • This study focuses on finding alternative treatments for gastric cancer (GC) patients who cannot undergo surgery, particularly those with HER2 overexpression, which affects how treatment decisions are made.* -
  • Researchers analyzed sCT iodine maps from 101 GC patients to see if histogram analysis could predict HER2 status, examining various statistical parameters from these maps.* -
  • Results showed that certain histogram parameters were significantly lower in patients with HER2-positive tumors, suggesting the potential of sCT analysis in predicting HER2 status, with a notable area under the curve for the 99th percentile parameter.*
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Chemotherapy is commonly used to treat malignant tumors. However, conventional chemotherapeutic drugs often cannot distinguish between tumor and healthy cells, resulting in adverse effects and reduced therapeutic efficacy. Therefore, zigzag-shaped gear-occlude-guided cymbal-closing (ZGC) DNA nanotechnology was developed based on the mirror-symmetry principle to efficiently construct symmetric DNA polyhedra.

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Article Synopsis
  • The text discusses advancements in DNA origami nanotechnology, focusing on a method to create patterned self-assembled nanostructures using rolling circle amplification products (RPs).
  • This new approach simplifies construction by using fewer DNA components, allowing for self-folding into grid-patterned ribbons without the need for numerous staple strands.
  • The resulting DNA framework (FP) can be easily modified for precise placement of nanoparticles and proteins, paving the way for applications in biotechnology, nanomedicine, and other fields requiring precise molecular organization.
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Dysregulation of long noncoding RNA (lncRNA) expression plays a pivotal role in the initiation and progression of gastric cancer (GC). However, the regulation of lncRNA SNHG15 in GC has not been well studied. Mechanisms for ferroptosis by SNHG15 have not been revealed.

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Chinese guidelines recommend POF (paclitaxel, oxaliplatin, and 5-FU/levoleucovorin) as first-line treatment for advanced gastric cancer (AGC). Apatinib can augment the antitumor effect of paclitaxel, oxaliplatin, or fluorouracil in preclinical studies of AGC. A phase I clinical trial was conducted to evaluate the anticancer activity and maximum tolerated dose (MTD) of apatinib plus POF in treatment-naïve patients with AGC and to establish a recommended phase II dose.

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LncRNAs are widely linked to the complex development of gastric cancer, which is acknowledged worldwide as the third highest contributor to cancer-related deaths and the fifth most common form of cancer. The primary focus of this study is to examine the role of LncRNA PSMG3-AS1 in a group of individuals with gastric cancer. The results of our study indicate that PSMG3-AS1 is highly expressed in over 20 different types of cancer.

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Background: Early noninvasive screening of patients who would benefit from neoadjuvant chemotherapy (NCT) is essential for personalized treatment of locally advanced gastric cancer (LAGC). The aim of this study was to identify radio-clinical signatures from pretreatment oversampled computed tomography (CT) images to predict the response to NCT and prognosis of LAGC patients.

Methods: LAGC patients were retrospectively recruited from six hospitals from January 2008 to December 2021.

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Background: Regional lymph node metastasis (LNM) is a competent and the most intensive predictor for the prognostic evaluation of patients after curative surgery. This study is based on the databases of two large medical centers in North and South China. It aims to establish a prognostic model based on extragastric LNM (ELNM) and lymph node ratio (LNR) in node-positive gastric cancer (GC).

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Lymph node (LN) metastasis is the most common form of metastasis in gastric cancer (GC). The status and stage of LN metastasis are important indicators that reflect the progress of GC. The number of LN metastases is still the most effective index to evaluate the prognosis of patients in all stages of LN metastasis.

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Multimodal deep learning models have been applied for disease prediction tasks, but difficulties exist in training due to the conflict between sub-models and fusion modules. To alleviate this issue, we propose a framework for decoupling feature alignment and fusion (DeAF), which separates the multimodal model training into two stages. In the first stage, unsupervised representation learning is conducted, and the modality adaptation (MA) module is used to align the features from various modalities.

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Article Synopsis
  • Tongue images and coating microbiome characteristics, which reflect overall body health in traditional Chinese medicine, were analyzed to diagnose gastric cancer (GC) in a substantial study involving over 1,200 participants.
  • Researchers utilized AI deep learning models to assess the diagnostic potential of these tongue features, with promising results showing high accuracy rates via area under the curve (AUC) metrics: 0.89 for tongue images and 0.94 to 0.95 for microbiome data.
  • The findings suggest that tongue images and microbial analysis can be effective diagnostic tools for GC, marking a significant advancement in non-invasive cancer diagnosis methods.
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Background: Controversy over whether No.8p lymph nodes (LNs) involvement is distant or regional metastasis remains, and the possible inclusion of No.8p LNs in D2 lymphadenectomy is unclear.

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Background: The incidence of hypertriglyceridemic acute pancreatitis (HTG-AP) has increased yearly, but updated population-based estimates on the incidence of HTG-AP are lacking. Reducing serum triglyceride (TG) levels quickly is crucial in the early treatment of HTG-AP. Decreased serum TG levels are treated by non-invasive methods, which include anti-lipidemic agents, heparin, low-molecular weight heparin, and insulin, and invasive methods, such as blood purification including hemoperfusion (HP), plasmapheresis, and continuous renal replacement therapy.

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Mining the prognostic biomarkers of colorectal cancer (CRC) has important clinical and scientific significance. The role of Fc receptor-like B (FCRLB) in solid tumors has never been reported or studied to our knowledge, and the prognostic role of FCRLB in CRC still awaits characterization. The potential prognostic factor FCRLB was screened out through TCGA database analysis.

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Background: Synchronous peritoneal metastasis of colorectal cancer usually predicts a bleak prognosis. Hyperthermic intraperitoneal chemotherapy (HIPEC) and cytoreductive surgery (CRS) have brought a glimmer of hope to the treatment of peritoneal cancer. Few cases treated with lobaplatin have been reported in the literature and the regimen is controversial.

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[This corrects the article on p. 2524 in vol. 13, PMID: 33165443.

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Background: Given the great technical difficulty and procedural complexity of laparoscopic total gastrectomy (LTG), the technical and oncologic safety of LTG versus open total gastrectomy (OTG) in the field of advanced gastric cancer (AGC) is yet undetermined.

Objective: This multicenter cohort study aimed to compare the surgical and oncological outcomes of LTG with those of OTG in AGC patients.

Patients And Methods: In total, 588 patients from 3 centers who underwent primary total gastrectomy with D2 lymphadenectomy, by well-trained surgeons with adequate experience, for pathologically confirmed locally AGC (T2N0-3, T3N0-3, or T4N0-3) between January 1, 2011, and December 31, 2015, were identified, and their clinical data were collected from three participating centers.

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Aim: This study was designed to investigate the prognostic effect of preoperative body mass index (BMI) for Type 2 diabetes mellitus (T2DM) patients with non-metastasis gastric cancer (GC) who underwent D gastrectomy.

Methods: T2DM patients with pTNM GC were retrospectively collected in Department of Gastrointestinal Surgical Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital from January, 2000 to December, 2010. These patients underwent D radical resection of the stomach combined with regional lymphadenectomy.

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Patients with advanced stomach adenocarcinoma (STAD) commonly show high mortality and poor prognosis. Increasing evidence has suggested that basic metabolic changes may promote the growth and aggressiveness of STAD; therefore, identification of metabolic prognostic signatures in STAD would be meaningful. An integrative analysis was performed with 407 samples from The Cancer Genome Atlas (TCGA) and 433 samples from Gene Expression Omnibus (GEO) to develop a metabolic prognostic signature associated with clinical and immune features in STAD using Cox regression analysis and least absolute shrinkage and selection operator (LASSO).

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Background: Alternative splicing (AS) increases the diversity of mRNA during transcription; it might play a role in alteration of the immune microenvironment, which could influence the development of immunotherapeutic strategies against cancer.

Aim: To obtain the transcriptomic and clinical features and AS events in stomach adenocarcinoma (STAD) from the database. The overall survival data associated with AS events were used to construct a signature prognostic model for STAD.

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Background: We conducted a single-arm phase II trial to investigate the short-term efficacy and safety of apatinib combined with oxaliplatin and S-1 in the treatment of unresectable gastric cancer.

Patients And Methods: Previously untreated patients with unresectable HER-2-negative advanced gastric cancer were selected. All the patients received six cycles of S-1 and oxaliplatin and five cycles of apatinib, which were administered at intervals of three weeks.

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Cancer stem cells (CSCs), characterized by infinite proliferation and self-renewal, greatly challenge tumor therapy. Research into their plasticity, dynamic instability, and immune microenvironment interactions may help overcome this obstacle. Data on the stemness indices (mRNAsi), gene mutations, copy number variations (CNV), tumor mutation burden (TMB), and corresponding clinical characteristics were obtained from The Cancer Genome Atlas (TCGA) and UCSC Xena Browser.

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MicroRNA-451 (miR-451) is lowly expressed in stomach cancer cells and improves their metastatic ability by down-regulating extracellular signal-regulated kinase 2 (ERK2). Many studies have found that caveolin-1 (CAV1) plays an important role in cancer progression. Additionally, miR-451 has been reported to regulate the expression of CAV1 in chronic obstructive pulmonary disease.

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HOTAIR, a well-known long noncoding RNAs (lncRNA), has been recognized to contribute to the tumor metastasis in several tumors. But its role in gastric cancer remains elusive. Here, we reported an increase in HOTAIR promoted proliferation and metastasis of gastric cancer cell lines.

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