IGFBP1 Is a Predictive Factor for Haematogenous Metastasis in Patients With Gastric Cancer

BACKGROUND: Early gastric cancer (EGC) is defined as adenocarcinoma limited to the mucosa or submucosa regardless of lymph node involvement. Local EGC recurrence rates have been described in up to 6% of cases.OBJECTIVES: To evaluate predictive factors for incomplete resection and local recurrence of EGC treated by endoscopic mucosal resection (EMR) that was followed up for at least one year.METHODS: From June 1994 to December 2005, 46 patients with EGC underwent EMR. Possible predictive factors for incomplete endoscopic resection and local recurrence were identified by medical chart analysis. Demographic, endoscopic and histopathological data were retrospectively evaluated. EMR was considered complete or incomplete. Patients from the complete resection group were divided into subgroups (with and without local EGC recurrence).RESULTS: Complete resection was possible in 36 cases (76.6%). Predictive factors for incomplete resection were tumour location (P=0.035), histological type (P=0.021), lesion size (P=0.022) and number of resected fragments (P=0.013). On multivariate analysis, undifferentiated histological type (OR 0.8; 95% CI 0.036 to 0.897) and number of resected fragments (OR 7.34; 95% CI 1.266 to 42.629) were independent predictive factors for incomplete resection. In the complete resection group, a larger lesion size was associated with a higher the number of resected fragments (P=0.018). Local recurrence occurred in nine cases (25%). Use of the cap technique was the only predictive factor for local recurrence in five of seven cases (71.4%) (P=0.006).CONCLUSIONS: A larger lesion size was associated with a higher number of resected fragments. Undifferentiated adenocarcinoma and piecemeal resection were predictive factors for incomplete resection. Technique type was a predictive factor for local EGC recurrence.

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Dynamin 3 Gene as a Tumor Suppressor and an Independent Predictive Factor of Poor Prognosis in Patients with Gastric Cancer

10.21203/rs.3.rs-1072813/v1 ◽

2021 ◽

Author(s):

Ru-Hong Tu ◽

Jian-Xian Lin ◽

Jian-Wei Xie ◽

Jia-Bin Wang ◽

Jun Lu ◽

...

Keyword(s):

Gastric Cancer ◽

Cell Cycle ◽

Tumor Suppressor ◽

Predictive Factor ◽

Poor Prognosis ◽

Immune Cell ◽

The Cancer Genome Atlas ◽

Independent Predictive Factor ◽

Stomach Adenocarcinoma ◽

Low Expression

Abstract Gastric cancer is a leading cause of death from malignant tumors worldwide. With the development of genome sequencing technology, an increasing number of key driver genes and tumor suppressors have been discovered. Some studies have suggested that Dynamin 3 (DNM3) is a novel tumor suppressor; however, the role of DNM3 in malignancy remains unclear. We performed a systematic analysis using The Cancer Genome Atlas Stomach Adenocarcinoma (TCGA-STAD) cohorts, and 160 patients with stomach adenocarcinoma at Fujian Medical University Union Hospital (FJMUUH) (48 quantitative PCR [qPCR] and 112 immunohistochemistry). DNM3 expression was found to be downregulated in gastric cancer compared to that in paraneoplastic tissue. Low expression of DNM3 was mainly associated with DNM3 promoter hypermethylation status. Low expression of DNM3 can upregulate the tumor cell cycle and oxidative phosphorylation process and downregulate immune regulation, and Th17 and Th2 immune cell infiltration was increased in patients with lower expression of DNM3. Patients with a lower DNM3 expression had a higher rate of lymph node metastasis and poor prognosis. In summary, DNM3 is a tumor suppressor and an independent predictive factor of poor prognosis that regulates the cell cycle and immunosuppression in the tumor microenvironment in gastric cancer via methylation.

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Xeroderma pigmentosum group D 751 polymorphism as a predictive factor in resected gastric cancer treated withchemo-radiotherapy

World Journal of Gastroenterology ◽

10.3748/wjg.v12.i37.6032 ◽

2006 ◽

Vol 12 (37) ◽

pp. 6032 ◽

Cited By ~ 17

Author(s):

RN Zárate R

Keyword(s):

Gastric Cancer ◽

Predictive Factor ◽

Xeroderma Pigmentosum ◽

Group D ◽

Xeroderma Pigmentosum Group D ◽

Resected Gastric Cancer

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White globe appearance is an endoscopic predictive factor for synchronous multiple gastric cancer

Annals of Gastroenterology ◽

10.20524/aog.2020.0565 ◽

2020 ◽

Author(s):

Teppei Masunaga

Keyword(s):

Gastric Cancer ◽

Predictive Factor ◽

Multiple Gastric Cancer

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The Glasgow Prognostic Score Before Curative Resection May Predict Postoperative Complications in Patients with Gastric Cancer

Journal of Gastrointestinal Cancer ◽

10.1007/s12029-021-00689-9 ◽

2021 ◽

Author(s):

Yota Shimoda ◽

Hirohito Fujikawa ◽

Keisuke Komori ◽

Hayato Watanabe ◽

Kosuke Takahashi ◽

...

Keyword(s):

Gastric Cancer ◽

Postoperative Complications ◽

Predictive Factor ◽

Proportional Hazards Model ◽

Prognostic Score ◽

Surgical Techniques ◽

Glasgow Prognostic Score ◽

Cox Proportional Hazards Model ◽

Stage Ii ◽

Independent Predictive Factor

Abstract Purpose Despite improvements in surgical techniques and devices and perioperative care of gastric cancer (GC), the rate of postoperative complications still has not decreased. If patients at high risk for postoperative complications could be identified early using biomarkers, these complications might be reduced. In this study, we investigated usefulness of the preoperative Glasgow Prognostic Score (GPS) as a predictive factor for complications after surgery in patients with stage II/III GC. Methods This study retrospectively analyzed the outcomes of 424 patients who underwent curative surgery for pathological stage II/III GC from February 2007 to July 2019 at a single center. The GPS was assessed within 4 days before surgery. To identify independent risk factors for postoperative complications, univariate and multivariate analyses were performed using a Cox proportional hazards model. Results The numbers of patients with a GPS of 0, 1, and 2 were 357, 55, and 12, respectively. The rate of complications after surgery was significantly higher among patients with a GPS of 1 or 2 than among patients with a GPS of 0 (p = 0.008). Multivariate analysis identified a GPS of 1 or 2 as an independent predictive factor for postoperative complications (p = 0.037). Conclusion The preoperative GPS may be a useful predictive factor for postoperative complications in patients with stage II/III GC. Being aware of the risk of complications after surgery as indicated by the GPS before surgery may promote safe and minimally invasive surgery that we expect will improve outcomes in patients with a GPS of 1 or 2.

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Tumor angiogenesis as predictive factor for site of relapse in patients with gastric cancer: Biological and clinical implications.

Journal of Clinical Oncology ◽

10.1200/jco.2011.29.15_suppl.e21119 ◽

2011 ◽

Vol 29 (15_suppl) ◽

pp. e21119-e21119

Author(s):

R. Giampieri ◽

M. Scartozzi ◽

C. Loretelli ◽

E. Galizia ◽

M. Pistelli ◽

...

Keyword(s):

Gastric Cancer ◽

Tumor Angiogenesis ◽

Predictive Factor ◽

Clinical Implications

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PI3K upregulation as a negative predictive factor of survival in HER2 amplified gastric cancer treated with Trastuzumab.

Journal of Clinical Oncology ◽

10.1200/jco.2016.34.15_suppl.e15567 ◽

2016 ◽

Vol 34 (15_suppl) ◽

pp. e15567-e15567 ◽

Cited By ~ 2

Author(s):

Asunción Díaz-Serrano ◽

Fernando Lopez-Rios ◽

Carolina Dominguez ◽

Paula J. Fonseca ◽

Barbara Angulo ◽

...

Keyword(s):

Gastric Cancer ◽

Predictive Factor ◽

Negative Predictive Factor

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Post-gastrectomy nutrition risk index can be a good predictive factor for survival.

Journal of Clinical Oncology ◽

10.1200/jco.2017.35.4_suppl.101 ◽

2017 ◽

Vol 35 (4_suppl) ◽

pp. 101-101

Author(s):

Keiichi Fujiya ◽

Taiichi Kawamura ◽

Katsuhiro Omae ◽

Noriyuki Nishiwaki ◽

Sanae Kaji ◽

...

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Nutritional Status ◽

Predictive Factor ◽

Risk Index ◽

Nutrition Status ◽

Term Survival ◽

Nutrition Risk ◽

Co Morbidity

101 Background: Preoperative malnutrition worsens morbidity and survival, however the role of post-gastrectomy nutritional status in survival remains unclear. The nutrition risk index (NRI) described by Buzby is a scoring system for identifying patients with preoperative poor nutrition status. However, the significance of NRI in evaluating post-gastrectomy nutritional status has not yet been established. Therefore, we aimed to clarify whether malnutrition condition evaluated by NRI after surgery can be a predictive factor for long-term survival in patients with gastric cancer. Methods: Pathological stage I, II, and III gastric cancer patients who underwent curative gastrectomy between 2002 and 2013 were included in this study. NRI was calculated using the following formula; (1.489 × serum albumin, g/L) + (41.7 × current weight/usual weight), and we defined an NRI of above 97.5 as normal nutrition (N group) and 97.5 or below as malnutrition (M group). NRI was evaluated before gastrectomy and 1, 3 and 12 months after gastrectomy. The correlations of clinicopathological characteristics, surgical treatment and overall survival, with nutritional status were retrospectively evaluated. Results: A total of 2552 patients were enrolled. There were significant differences in age, sex, body mass index, performance status, co-morbidity, histology and malignant stage between the groups before gastrectomy. Overall survival in the M group was significantly poorer, both before gastrectomy (adjusted HR 1.31; p < 0.001) and at 1 month (adjusted HR 1.52; p < 0.001), 3 months (adjusted HR 1.35; p = 0.004) and 12 months (adjusted HR 1.37; p = 0.006) after gastrectomy. In multivariate analysis, low NRI at 12 months after gastrectomy, age, co-morbidity and malignant stage were independently associated with overall survival. Overall survival in patients who fulfilled preoperative normal nutrition status criteria was also significantly poorer at 12 months after gastrectomy in the M group. Conclusions: Malnutrition after surgery, as well as before surgery, had a significant impact on overall survival. Postoperative nutritional statue evaluated by NRI may be a good predictive marker for long-term survival.

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