Publications by authors named "Ping'an Ding"

Background: Currently, numerous studies focus on the analysis of risk factors for lymph node metastasis in early gastric cancer, but few studies analyze the drainage patterns of metastatic lymph nodes.

Methods: Data were retrospectively analyzed from a database of gastric cancer resections from 2014 to 2018. The cohort included 786 pT1 patients with complete data.

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Background: Sarcopenia (defined as low skeletal muscle index - SMI) and myosteatosis (defined as low skeletal muscle radiodensity - SMD) associate with poor outcomes in gastric cancer, but their impact after robotic surgery is unknown.

Methods: This retrospective cohort study analyzed 381 gastric cancer patients undergoing robotic surgery from December 2019 to October 2022. Sarcopenia and myosteatosis were assessed on preoperative CT scans.

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This study proposes a novel non-invasive diagnostic approach utilizing transcriptomic profiling of liquid biopsy samples for the early detection of occult peritoneal metastases in locally advanced gastric cancer (LAGC). By analyzing RNA expression patterns of cancer cells, this method identifies specific gene signatures associated with peritoneal spread, potentially offering a more sensitive and comprehensive diagnostic tool compared to conventional imaging techniques. A 4-mRNA panel (BUB1, SPC25, CT83, MMP3) integrated with clinical features was developed into a Risk Stratification Assessment (RSA) model, demonstrating superior predictive accuracy in multiple cohorts with an area under the curve (AUC) of 0.

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Unlabelled: The lack of diagnostic and therapeutic targets precludes effective treatment of esophageal cancer, rooted in the limited mechanistic understanding of cancer initiation and progression. Nonmutational epigenetic reprogramming, including altered 5-methylcytosine (m5C) modification and circular RNA (circRNA) expression, can drive tumorigenesis and impact cancer biology. Herein, we identified upregulation of the circRNA hsa_circ_0066658 (termed as circTMEM45A) in esophageal squamous cell carcinoma (ESCC) tissues, which was correlated with advanced clinical stages and poor survival.

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Gastric cancer with peritoneal dissemination remains a significant clinical challenge due to its poor prognosis and difficulty in early detection. This study introduces a multimodal artificial intelligence-based risk stratification assessment (RSA) model, integrating radiomic and clinical data to predict peritoneal lavage cytology-positive (GC-CY1) in gastric cancer patients. The RSA model is trained and validated across retrospective, external, and prospective cohorts.

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Background: Gastric cancer remains a major health concern worldwide, with locally advanced gastric cancer (LAGC) posing significant challenges due to frequent lymph node metastasis and poor prognosis. While curative gastrectomy with D2 lymph node dissection is the standard treatment, sarcopenia and perioperative skeletal muscle loss (SML) have emerged as critical prognostic factors.

Methods: We retrospectively analyzed 198 LAGC patients who underwent curative gastrectomy.

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Background: The increasing incidence of early-stage T1 gastric cancer (GC) underscores the need for accurate preoperative risk stratification of lymph node metastasis (LNM). Current pathological assessments often misclassify patients, leading to unnecessary radical surgeries.

Methods: Through analysis of transcriptomic data from public databases and T1 GC tissues, we identified a 4-mRNA panel (SDS, TESMIN, NEB, and GRB14).

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The study presents a transcriptomics-based liquid biopsy approach for early recurrence detection in locally advanced gastric cancer (LAGC). Four mRNA biomarkers (AGTR1, DNER, EPHA7, and SUSD5) linked to recurrence are identified through transcriptomic data analysis. A Risk Stratification Assessment (RSA) model combining these biomarkers with clinical features showed superior predictive accuracy for postoperative recurrence, with AUCs of 0.

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Gastric cancer is one of the most common cancers and is one of the leading causes of cancer-related deaths in worldwide. Early diagnosis and treatment are essential for a positive outcome. The integration of artificial intelligence in the pathology field is increasingly widespread, including histopathological images analysis.

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Article Synopsis
  • The study investigates the combined impact of the Prognosis Nutritional Index (PNI) and Systemic Inflammatory Immunological Index (SII) on predicting tumor response and prognosis in patients with locally advanced gastric cancer (LAGC) after chemotherapy.
  • A retrospective analysis of 181 LAGC patients was conducted, categorizing them into tumor regression grade (TRG) 3 and non-TRG3 groups, and assessing their SII and PNI values.
  • Results showed that higher SII-PNI scores were linked to better tumor responses and poorer overall and disease-free survival, indicating the SII-PNI score could be a useful predictor in clinical settings.
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Circular RNAs (circRNAs) have emerged as key regulators of cancer occurrence and progression, as well as promising biomarkers for cancer diagnosis and prognosis. However, the potential mechanisms of circRNAs implicated in lymph node (LN) metastasis of gastric cancer remain unclear. Herein, we identify a novel N6-methyladenosine (m6A) modified circRNA, circPAK2, which is significantly upregulated in gastric cancer tissues and metastatic LN tissues.

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  • The study developed a six-gene expression biomarker panel to improve early detection and risk assessment of peritoneal recurrence and micrometastasis in locally advanced gastric cancer (LAGC).
  • Using advanced transcriptome profiling and bioinformatics, the panel was validated with both tissue and liquid biopsy samples across multiple clinical cohorts.
  • The model showed high predictive accuracy (AUC over 0.960) for identifying recurrence and micrometastasis, highlighting its potential in guiding personalized treatment strategies in precision oncology.
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  • - The study investigates the prognostic potential of various lymph node (LN) staging systems—specifically log odds of positive lymph nodes (LODDS), lymph node ratio (LNR), and pN stage—for patients with late-onset gastric cancer (LOGC).
  • - Data from 4,743 patients was analyzed using machine learning techniques and Cox regression models, revealing that the LNR was the most effective predictor of overall survival among the LN staging systems tested.
  • - A nomogram was developed based on independent prognostic factors and showed excellent predictive performance, indicating its potential to aid clinical decision-making for LOGC patients post-surgery.
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  • - The study aimed to create nomogram models that can predict overall survival (OS) and cancer-specific survival (CSS) for patients with gastric cancer liver metastasis (GCLM) using data from over 5,000 patients.
  • - Researchers analyzed patient data from the SEER database and identified eight key factors that influence survival, leading to the development of two nomogram models, which were rigorously validated through several methods.
  • - The findings revealed that these nomogram models significantly outperformed the traditional AJCC TNM staging system in predicting survival outcomes for GCLM patients, enhancing accuracy for clinical decision-making.
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Alpha-fetoprotein-producing gastric cancer (AFPGC) is a rare and aggressive subtype of gastric cancer associated with poor prognosis. This study aimed to investigate the recurrent metastatic patterns and prognostic factors in AFPGC patients undergoing radical surgical resection. Data from 241 AFPGC patients diagnosed between January 2017 and January 2020 who underwent surgical resection were analyzed across multiple centers.

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  • The study investigates the link between microsatellite stability/epithelial-mesenchymal transition (MSS/EMT) types and diffuse gastric cancer (GC) prognosis, aiming to develop a risk assessment model based on mural stratification seen in CT scans.
  • It analyzed data from 131 MSS diffuse GC patients who had radical surgery, employing statistical methods to find significant predictors for overall survival (OS) and recurrence-free survival (RFS).
  • The results showed that grade 2 mural stratification was associated with a more aggressive cancer phenotype and poorer outcomes, leading to a well-performing nomogram for predicting OS and RFS risk with high accuracy.
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Mitoxantrone Hydrochloride Injection for Tracing (MHI), a modified new drug marketed in China, has been approved by the National Medical Products Administration for lymph node tracing in thyroid cancer and sentinel lymph node biopsy in breast cancer. This single-center, single-blind, dose-escalation phase I clinical trial aimed to investigate the safety of MHI on lymph node tracing in gastric cancer. In this study, four dose groups (1.

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  • The study aimed to create nomogram models to predict overall survival (OS) and cancer-specific survival (CSS) for patients with early-onset gastric cancer (EOGC) using data from 1,589 patients.
  • Univariate and multivariate Cox regression analyses identified key prognostic factors, including gender, tumor size, and metastasis, which were used to develop two nomograms and web-based calculators.
  • The new nomogram models showed better predictive performance than the existing AJCC TNM classification system, providing useful tools for clinicians in managing EOGC patients' care.
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Background: The incidence of gastric cancer has significantly increased in recent years. Surgical resection is the main treatment, but the method of digestive tract reconstruction after gastric cancer surgery remains controversial. In the current study, we sought to explore a reasonable method of digestive tract reconstruction and improve the quality of life and nutritional status of patients after surgery.

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  • Lymphangiogenesis is linked to lymphatic metastasis and tumor immune tolerance in gastric cancer, but its mechanisms are not fully understood.
  • The study found that miR-431-5p is significantly downregulated in gastric cancer tissues and plasma, with lower levels associated with increased lymph node metastasis and poor prognosis.
  • By targeting ZEB1, miR-431-5p inhibits the TGF-β1/SMAD2/3 pathway, reducing the secretion of factors that promote angiogenesis and lymphangiogenesis, and shows promise as a therapeutic option, especially in combination with anti-PD1 treatment.
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Background: CALD1 has been discovered to be abnormally expressed in a variety of malignant tumors, including gastric cancer (GC), and is associated with tumor progression and immune infiltration; however, the roles and mechanisms of CALD1 in epithelial-mesenchymal transition (EMT) in GC are unknown.

Aim: To investigate the role and mechanism of CALD1 in GC progression, invasion, and migration.

Methods: In this study, the relationship between CALD1 and GC, as well as the possible network regulatory mechanisms of CALD1, was investigated by bioinformatics and validated by experiments.

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  • Sarcopenia, characterized by reduced muscle mass and function, significantly increases postoperative complications and lowers long-term survival rates in patients undergoing robotic gastrectomy for gastric cancer.* -
  • A study involving 381 gastric cancer patients found that those with sarcopenia had much higher rates of complications and poorer survival outcomes compared to those without, as assessed through a matching process that controlled for other variables.* -
  • The findings suggest that evaluating patients for sarcopenia preoperatively could improve risk management and outcomes for individuals undergoing gastric cancer surgery.*
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  • Current cancer treatments, particularly for advanced cases, are limited and often unsatisfactory.
  • Immune checkpoint inhibitors (ICIs) represent a significant advancement in cancer therapy by activating immune cells but have low response rates and resistance issues.
  • There is a growing interest in circular RNAs (circRNAs) for their potential role in influencing immune checkpoints and the tumor immune microenvironment, which could enhance the efficacy of ICIs.
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Immune-checkpoint inhibitors (ICIs), different from traditional cancer treatment models, have shown unprecedented anti-tumor effects in the past decade, greatly improving the prognosis of many malignant tumors in clinical practice. At present, the most widely used ICIs in clinical immunotherapy for a variety of solid tumors are monoclonal antibodies against cytotoxic T lymphocyte antigen-4 (CTLA-4), programmed cell death protein 1 (PD-1) and their ligand PD-L1. However, tumor patients may induce immune-related adverse events (irAEs) while performing immunotherapy, and irAE is an obstacle to the prospect of ICI treatment.

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Background: Currently, gastric cancer with positive lavage cytology without gross peritoneal dissemination (GC-CY1) is a special type of metastatic form with poor prognosis. Consensus guidelines on treatment strategies for patients with GC-CY1 have not been established. This study involves a single-arm, prospective, phase II clinical trial to examine the efficacy and safety of neoadjuvant intraperitoneal and systemic (NIPS) albumin-bound paclitaxel combined with Camrelizumab and S-1 in the treatment of GC-CY1 patients.

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