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  • 1
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    Table1.XLSX
    Frontiers Media SA ; 2022
    In:  Frontiers in Cell and Developmental Biology Vol. 9 ( 2022-1-10)
    Details
    In: Frontiers in Cell and Developmental Biology, Frontiers Media SA, Vol. 9 ( 2022-1-10)
    Abstract: Solid tumour tissues are composed of tumour and non-tumour cells, such as stromal cells and immune cells. These non-tumour cells constitute an essential part of the tumour microenvironment (TME), which decrease the tumour purity and play an important role in carcinogenesis, malignancy progression, treatment resistance and prognostic assessment. However, the implications of various purity levels in gastric cancer (GC) remain largely unknown. In the present study, we used an in-silico approach to infer the tumour purity of 2,259 GC samples obtained from our hospital and 12 public datasets based on the transcriptomic data. We systematically evaluated the association of tumour purity with clinical outcomes, biological features, TME characteristics and treatment response in GC. We found that tumour purity might be a patient-specific intrinsic characteristic of GC. Low tumour purity was independently correlated with shorter survival time and faster recurrence and significantly associated with mesenchymal, invasive and metastatic phenotypes. Integrating GC purity into a clinical prognostic nomogram significantly improved predictive validity and reliability. In addition, low tumour purity was strongly associated with immune and stromal cell functions. Fibroblasts, endothelial cells and monocytes were markedly enriched in low-purity tumours, serving as robust indicators of a poor prognosis. Moreover, patients with low GC purity may not benefit more from adjuvant chemotherapy. Our findings highlight that tumour purity confers important clinical, biological, microenvironmental and treatment implications for patients with GC. Therefore, a comprehensive evaluation of tumour purity in individual tumours can provide more insights into the molecular mechanisms of GC, facilitate precise classification and clinical prediction and help to develop more effective individualised treatment strategies.
    Type of Medium: Online Resource
    ISSN: 2296-634X
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fcell.2021.782529
    DOI: 10.3389/fcell.2021.782529.s001
    DOI: 10.3389/fcell.2021.782529.s002
    DOI: 10.3389/fcell.2021.782529.s003
    DOI: 10.3389/fcell.2021.782529.s004
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2737824-X
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  • 2
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    Development and Validation of an Age-Related Gastric Cancer-Specific Immune Index
    Informa UK Limited ; 2022
    In:  Journal of Inflammation Research Vol. Volume 15 ( 2022-11), p. 6393-6407
    Details
    In: Journal of Inflammation Research, Informa UK Limited, Vol. Volume 15 ( 2022-11), p. 6393-6407
    Type of Medium: Online Resource
    ISSN: 1178-7031
    URL: Article
    DOI: 10.2147/JIR.S388792
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2494878-0
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  • 3
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    Prognostic importance of the preoperative New‐Naples prognostic score for patients with gastric cancer
    Wiley ; 2023
    In:  Cancer Medicine Vol. 12, No. 2 ( 2023-01), p. 1358-1375
    Details
    In: Cancer Medicine, Wiley, Vol. 12, No. 2 ( 2023-01), p. 1358-1375
    Abstract: The wide applicability of the Naples prognostic score (NPS) is still worthy of further study in gastric cancer (GC). This study aimed to construct a New‐NPS based on the differences in immunity and nutrition in patients with upper and lower gastrointestinal tumors to help obtain an individualized prediction of prognosis. Methods This study retrospectively analyzed patients who underwent radical gastrectomy from April 2014 to September 2016. The cutoff values of the preoperative neutrophil‐to‐lymphocyte ratio (NLR), lymphocyte‐to‐monocyte ratio (LMR), serum albumin (Alb), and total cholesterol (TC) were calculated by ROC curve analysis. ROC and t‐ROC were used to evaluate the accuracy of the prognostic markers. The Kaplan–Meier method and log‐rank test were used to analyze the overall survival probability. Univariate and multivariate analyses based on Cox risk regression were used to show the independent predictors. The nomogram was made by R studio. The predictive accuracy of nomogram was assessed using a calibration plot, concordance index (C‐index), and decision curve. Results A total of 737 patients were included in training cohort, 411 patients were included in validation cohort. ROC showed that the New‐NPS was more suitable for predicting the prognosis of GC patients. NPS = 2 indicated a poor prognosis. Multivariate analysis showed that CEA ( P  = 0.026), Borrmann type ( P  = 0.001), pTNM ( P   〈  0.001), New‐NPS ( P   〈  0.001), and nerve infiltration ( P  = 0.035) were independent risk factors for prognosis. Conclusion The New‐NPS based on the cutoff values of NLR, LMR, Alb, and TC is not only suitable for predicting prognosis but can also be combined with clinicopathological characteristics to construct a nomogram model for GC patients.
    Type of Medium: Online Resource
    ISSN: 2045-7634 , 2045-7634
    URL: Issue
    URL: Article
    DOI: 10.1002/cam4.v12.2
    DOI: 10.1002/cam4.5017
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2659751-2
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  • 4
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    Evaluation of Immune Infiltration Based on Image Plus Helps Predict the Prognosis of Stage III Gastric Cancer Patients with Significantly Different Outcomes in Northeastern China
    Hindawi Limited ; 2022
    In:  Disease Markers Vol. 2022 ( 2022-3-25), p. 1-16
    Details
    In: Disease Markers, Hindawi Limited, Vol. 2022 ( 2022-3-25), p. 1-16
    Abstract: Gastric cancer (GC) might have significantly different outcomes within the same AJCC/UICC-TNM stage. The purpose of this study is to help predict the different prognosis through the pattern of immune cell infiltration. We retrospectively analyzed 2605 patients who underwent radical gastrectomy in the Harbin Medical University Cancer Hospital between 2002 and 2013. For stage III with significantly different survival probability, we analyzed the relationship between immune cell surface antigen and survival in TCGA dataset. Furthermore, 200 cases in stage III GC with different survival outcomes were randomly selected for immunohistochemical verification. Image Plus software was used to evaluate the area of immune cell infiltration. We found that patients in stage III had significantly different outcomes. Bioinformatics analysis showed that there was a significant negative correlation between the expression of immune cell surface antigen and prognosis. In order to investigate whether immune infiltration can distinguish GC patients in stage III with differences in prognosis, we verified by immunohistochemistry that CD4+ T cells, CD20+ B cells, and CD177+ neutrophils infiltrated more in group B with better prognosis; CD8+ T cells, CD68+ macrophages, and CD117+ mast cells infiltrated more in group A with poor prognosis. CD117+ mast cells have the same trend of predicting significance for prognosis in the RNA and protein levels. In conclusion, patients with GC in northeastern China have significant prognostic differences only in stage III. CD117+ mast cells may be important evaluation factors in further studies of Immunoscore.
    Type of Medium: Online Resource
    ISSN: 1875-8630 , 0278-0240
    URL: Article
    DOI: 10.1155/2022/2893336
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2033253-1
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  • 5
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    Proposed Models for Prediction of Mortality in Stage-I and Stage-II Gastric Cancer and 5 Years after Radical Gastrectomy
    Hindawi Limited ; 2022
    In:  Journal of Oncology Vol. 2022 ( 2022-3-8), p. 1-14
    Details
    In: Journal of Oncology, Hindawi Limited, Vol. 2022 ( 2022-3-8), p. 1-14
    Abstract: The current American Joint Committee on Cancer (AJCC) staging system provides limited information for patients with early death from stage-I and stage-II gastric cancer (GC) and death at 〉 5 years after radical gastrectomy. The aim of this study was to construct nomogram models to predict the mortality risk of these patients. In this study, clinical and pathological data on patients who underwent curative gastrectomy at Harbin Medical University Cancer Hospital between 2000 and 2014 were retrospectively collected. Receiver operating characteristic analysis was used to screen for sensitive serum immune biomarkers to predict the risk of mortality death 〉 5 years after radical gastrectomy (Group A) and risk of early death in stage-I and stage-II GC (Group B). The prediction model was constructed by combining serum immune markers with clinicopathological features by R Studio. We found that serum fibrinogen (F), systemic immune inflammation (SII), and pTNM stage were independent risk factors for prognosis in Group A ( P 〈 0.05 ). F, SII, age, Borrmann type, and scope of gastrectomy were independent risk factors for prognosis in Group B ( P 〈 0.05 ). The area under the curve of the predictive model in Groups A and B was 0.726 and 0.848, respectively. In conclusion, the predictive models of F and SII combined with clinicopathological features can predict high mortality risk in patients with stage-I and stage-II GC and 〉 5 years after radical gastrectomy, which will contribute to the supplement of the traditional AJCC system and to individual survival prediction.
    Type of Medium: Online Resource
    ISSN: 1687-8469 , 1687-8450
    URL: Article
    DOI: 10.1155/2022/4510000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2461349-6
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  • 6
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    Development and Validation of Tumor Marker Indices in Advanced Gastric Cancer Patients
    SAGE Publications ; 2023
    In:  Cancer Control Vol. 30 ( 2023-04)
    Details
    In: Cancer Control, SAGE Publications, Vol. 30 ( 2023-04)
    Abstract: Tumor markers (TMs) are important for the prognosis of gastric cancer (GC). However, the prognostic importance of the tumor marker index (TMI) based on GC-specific TMs for advanced gastric cancer (AGC) still needs to be further explored. Methods We retrospectively examined patients who underwent radical gastric cancer surgery between February 2014 and June 2016 at the Department of Gastroenterological Surgery, Affiliated Cancer Hospital, Harbin Medical University. The patients were divided into training and validation groups. TMI was determined as the geometric mean of the standard cancer antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) levels. Patient overall survival was assessed using the Kaplan–Meier method. Independent prognosis-associated risk factors were identified using Cox hazard regression models. A nomogram model incorporating TMI and clinicopathological factors was developed, and its performance was evaluated using a decision curve analysis, concordance index, and calibration plots. Results In the TMI training cohort, the cutoff value was set at .439, categorizing patients into TMI-High and TMI-Low groups. The 5-year survival rate in the TMI-Low group significantly surpassed that in the TMI-High group (78.2% vs 58.1% and 49.7 vs 41.6, P 〈 .001). TMI emerged as an independent prognostic factor. The nomogram accurately predicted patient prognosis by using TMI and clinicopathological characteristics. Validation of the TMI in the independent cohort yielded satisfactory results. Conclusion The TMI constructed based on specific TMs associated with gastric cancer can offer a precise prognostic prediction for patients.
    Type of Medium: Online Resource
    ISSN: 1073-2748 , 1526-2359
    URL: Article
    DOI: 10.1177/10732748231202466
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2004182-2
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  • 7
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    The landscape of alternative splicing reveals novel events associated with tumorigenesis and the immune microenvironment in gastric cancer
    Impact Journals, LLC ; 2021
    In:  Aging Vol. 13, No. 3 ( 2021-02-15), p. 4317-4334
    Details
    In: Aging, Impact Journals, LLC, Vol. 13, No. 3 ( 2021-02-15), p. 4317-4334
    Type of Medium: Online Resource
    ISSN: 1945-4589
    URL: Issue
    URL: Article
    DOI: 10.18632/aging.v13i3
    DOI: 10.18632/aging.202393
    Language: English
    Publisher: Impact Journals, LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2535337-8
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  • 8
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    Development and validation of an individual alternative splicing prognostic signature in gastric cancer
    Impact Journals, LLC ; 2021
    In:  Aging Vol. 13, No. 4 ( 2021-02-28), p. 5824-5844
    Details
    In: Aging, Impact Journals, LLC, Vol. 13, No. 4 ( 2021-02-28), p. 5824-5844
    Type of Medium: Online Resource
    ISSN: 1945-4589
    URL: Issue
    URL: Article
    DOI: 10.18632/aging.v13i4
    DOI: 10.18632/aging.202507
    Language: English
    Publisher: Impact Journals, LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2535337-8
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  • 9
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    Impact of AADAC gene expression on prognosis in patients with Borrmann type III advanced gastric cancer
    Springer Science and Business Media LLC ; 2022
    In:  BMC Cancer Vol. 22, No. 1 ( 2022-12)
    Details
    In: BMC Cancer, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2022-12)
    Abstract: The prognosis of Borrmann type III advanced gastric cancer (AGC) is known to vary significantly among patients. This study aimed to determine which differentially expressed genes (DEGs) are directly related to the survival time of Borrmann type III AGC patients and to construct a prognostic model. Methods We selected 25 patients with Borrmann type III AGC who underwent radical gastrectomy. According to the difference in overall survival (OS), the patients were divided into group A (OS 〈 1 year, n =11) and group B (OS 〉 3 years, n =14). DEGs related to survival time in patients with Borrmann type III AGC were determined by mRNA sequencing. The prognosis and functional differences of DEGs in different populations were determined by The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) public databases. The expression of mRNA and protein in cell lines was detected by quantitative real-time reverse-transcription polymerase chain reaction (qRT-PCR) and Western blot (WB). Immunohistochemical (IHC) staining was used to detect protein expression in the paraffin-embedded tissues of 152 patients with Borrmann type III AGC who underwent radical gastrectomy. After survival analysis, nomograms were constructed to predict the prognosis of patients with Borrmann type III AGC. Results Arylacetamide deacetylase (AADAC) is a survival-related DEG in patients with Borrmann type III AGC. The higher the expression level of its mRNA and protein is, the better the prognosis of patients. Bioinformatics analysis found that AADAC showed significant differences in prognosis and function in European and American populations and Asian populations. In addition, the mRNA and protein expression levels of AADAC were high in differentiated gastric cancer (GC) cells. We also found that AADAC was an independent prognostic factor for patients with Borrmann type III AGC, and its high expression was significantly correlated with better OS and disease-free survival (DFS). Nomogram models of AADAC expression level combined with clinicopathological features can be used to predict the OS and DFS of Borrmann type III AGC. Conclusion AADAC can be used as a biomarker to predict the prognosis of Borrmann type III AGC and has the potential to become a new therapeutic target for GC.
    Type of Medium: Online Resource
    ISSN: 1471-2407
    URL: Article
    DOI: 10.1186/s12885-022-09594-1
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2041352-X
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  • 10
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    Table_1.docx
    Frontiers Media SA ; 2020
    In:  Frontiers in Oncology Vol. 10 ( 2020-12-23)
    Details
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 10 ( 2020-12-23)
    Abstract: Surgery combined with postoperative chemotherapy is an effective method for treating patients with gastric cancer (GC) in Asia. The important roles of systemic inflammatory response in chemotherapy have been gradually verified. The purpose of this study was to assess the difference in clinical effectiveness of FOLFOX (oxaliplatin + leucovorin + 5-fluorouracil) and XELOX (oxaliplatin + capecitabine), and the prognostic value of postoperative platelet–lymphocyte ratio (PLR) in the XELOX group. Methods Patients who received radical gastrectomy combined with postoperative chemotherapy between 2004 and 2014 were consecutively selected into the FOLFOX and XELOX groups. Group bias was reduced through propensity score matching, which resulted in 278 patients in each group. Cut-off values of systemic immune inflammation (SII) score and PLR were obtained by receiver operating characteristic curve. Kaplan–Meier and Log-rank tests were used to analyze overall survival. The chi-square test was used to analyze the association between clinical characteristics and inflammatory indexes. Univariate and multivariate analyses based on Cox regression analysis showed independent risk factors for prognosis. The nomogram was made by R studio. Results Patients receiving XELOX postoperative chemotherapy had better survival than those receiving FOLFOX ( P & lt; 0.001), especially for stage III GC ( P = 0.002). Preoperative SII was an independent risk factor for prognosis in the FOLFOX group, and PLR of the second postoperative chemotherapy regimen in the XELOX group, combined with tumor size and pTNM stage, could construct a nomogram for evaluating recurrence and prognosis. Conclusion XELOX is better than FOLFOX for treatment of GC in Chinese patients, and a nomogram constructed by PLR, tumor size and pTNM stage can predict recurrence and prognosis.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    URL: Article
    URL: Article
    DOI: 10.3389/fonc.2020.584772
    DOI: 10.3389/fonc.2020.584772.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2020
    detail.hit.zdb_id: 2649216-7
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