Publications by authors named "Honghai Guo"

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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  • 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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Background: Carbon nanoparticle suspension injection (CNSI) and indocyanine green (ICG) have both been applied intraoperatively to facilitate lymphatic mapping and postoperatively to sort lymph nodes (LNs) in gastric cancer patients. However, no study has compared the two tracers in gastric cancer patients.

Materials And Methods: This prospective randomized controlled trial was conducted from January 2022 to March 2023.

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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 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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  • 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: Surgical staplers have been widely used to facilitate surgeries, and this study aimed to examine the real-world effectiveness of a new powered stapling system with Gripping Surface Technology (GST) on intraoperative outcomes of gastrectomy for gastric cancer.

Method: The data were extracted from the Fourth Hospital of Hebei Medical University's (FHHMU) medical records system. Participants (N = 121 patients) were classified into the GST (n = 59) or non-GST group (n = 62), based on the use of the GST system.

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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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  • Robotic gastrectomy for gastric cancer is becoming more common, but it still carries a risk of complications, particularly related to myosteatosis, which is low skeletal muscle density indicating fat infiltration.
  • A study of 381 patients found that myosteatosis was present in about one-third, and it significantly increased the rates of overall and severe postoperative complications as well as the risk of ICU transfers and readmissions.
  • Additionally, myosteatosis was linked to lower overall and disease-free survival rates, suggesting that assessing muscle density via preoperative CT scans could help better evaluate patient risks before surgery.
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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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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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Background: Neoadjuvant chemotherapy with docetaxel, oxaliplatin, and capecitabine (DOX regimen) is rarely used in Eastern countries and its efficacy and safety in advanced gastric cancer have not been reported. In this open-label, randomized, controlled trial, the authors aimed to assess the clinical efficacy of neoadjuvant chemotherapy using the DOX and oxaliplatin plus capecitabine (XELOX) regimens, in comparison to surgery alone.

Materials And Methods: Three hundred patients younger than 60 years with potentially resectable advanced gastric cancer (cT3-4, Nany, M0) were enrolled in this randomized controlled clinical trial between November 2014 and June 2018.

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Objective: Accurate prediction of preoperative occult peritoneal metastasis (OPM) is critical to selecting appropriate therapeutic regimen for gastric cancer (GC). Considering the clinical practicability, we develop and validate a visible nomogram that integrates the CT images and clinicopathological parameters for the individual preoperative prediction of OPM in GC.

Methods: This retrospective study included 520 patients who underwent staged laparoscopic exploration or peritoneal lavage cytology (PLC) examination.

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  • * Out of 191 gastric cancer patients analyzed, 44.5% showed evidence of micro lymph node metastasis, with undifferentiated carcinoma and advanced cancer stages linked to higher rates of metastasis.
  • * The presence of micro lymph node metastasis independently predicted poorer outcomes, particularly in stage III patients, highlighting the need for careful pathological assessment in lymph node staging.
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Background: Gastrointestinal stromal tumor (GIST) is the most common sarcoma of the digestive tract, among which patients with distant metastases tend to have a poor prognosis. This study aimed to develop a model for predicting distant metastasis in GIST patients and to develop two models for monitoring overall survival (OS) and cancer-specific survival (CSS) in GIST patients with metastasis. This would allow us to develop an optimal, individualized treatment strategy.

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Background: Robot-assisted distal gastrectomy (RADG) has been used in the minimally invasive surgical treatment of gastric cancer, but the research on advanced gastric cancer (AGC) after neoadjuvant chemotherapy (NAC) has not been reported. This study aimed to analyze the outcomes of RADG versus laparoscopic distal gastrectomy (LDG) after NAC for AGC.

Methods: This was a retrospective propensity score-matched analysis from February 2020 and March 2022.

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Skeletal muscle is the foundation of human function and plays a key role in producing exercise, bone protection, and energy metabolism. Sarcopenia is a systemic disease, which is characterized by degenerative changes in skeletal muscle mass, strength, and function. Therefore, sarcopenia often causes weakness, prolonged hospitalization, falls and other adverse consequences that reduce the quality of life, and even lead to death.

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Background: Previous studies have confirmed that preoperative nutritional-inflammatory indicators can predict prognosis in various malignancies. However, to the best of our knowledge, no study has investigated the assessment of systemic inflammatory immunity index (SII) combined with prognostic nutritional index (PNI) scores to predict prognosis after neoadjuvant treatment with imatinib in locally advanced gastrointestinal stromal tumours (LA-GIST). The aim of this study was to evaluate the predictive value of pretreatment SII-PNI scores in predicting recurrence after neoadjuvant therapy with imatinib in patients with LA-GIST.

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Background: The use of lymph node (LN) tracers can help obtain a complete dissection of the lymph nodes and increase the detection rate of LNs and metastatic LNs. Carbon nanoparticle suspension injection (CNSI) and indocyanine green (ICG) have been widely used in radical gastrectomy in recent years. Nevertheless, the comparison of their clinical effects has not been studied.

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