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  • SAGE Publications  (119)
  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2019
    In:  Integrative Cancer Therapies Vol. 18 ( 2019-01), p. 153473541989002-
    In: Integrative Cancer Therapies, SAGE Publications, Vol. 18 ( 2019-01), p. 153473541989002-
    Abstract: Conventional methods in treating non–small cell lung cancer contain surgery, chemotherapy, radiotherapy, and targeted therapy, which have various defects. Recently, with the deeper research on tumor immunity, immunotherapy has made the breakthrough in the treatment of cancers. Especially developments of programmed cell death-1/programmed cell death ligand-1 (PD-1/PD-L1) inhibitors bring the therapy into a new stage. This review mainly focuses on introducing existing monoclonal antibodies containing nivolumab, pembrolizumab, atezolizumab, avelumab, and durvalumab, along with 3 ordinary biomarkers such as PD-L1 expression, tumor mutation burden, and microsatellite instability. By understanding the resistance mechanism of anti-PD-1/L1 blockade, research is further improving the survival benefit and expanding the benefit population. So, PD-1/PD-L1 inhibitors begin to be combined with various therapeutic strategies clinically. Discussion and comparison of their effectiveness and safety are also comprehensively reviewed. Meanwhile, we explore the potential, the impact, and mechanisms of combining traditional Chinese medicine with immunotherapy.
    Type of Medium: Online Resource
    ISSN: 1534-7354 , 1552-695X
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2101248-9
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  • 2
    In: Integrative Cancer Therapies, SAGE Publications, Vol. 21 ( 2022-01), p. 153473542211443-
    Abstract: Lung carcinoma is the primary reason for cancer-associated mortality, and it exhibits the highest mortality and incidence in developed and developing countries. Non-small cell lung cancer (NSCLC) and SCLC are the 2 main types of lung cancer, with NSCLC contributing to 85% of all lung carcinoma cases. Conventional treatment mainly involves surgery, chemoradiotherapy, and immunotherapy, but has a dismal prognosis for many patients. Therefore, identifying an effective adjuvant therapy is urgent. Historically, traditional herbal medicine has been an essential part of complementary and alternative medicine, due to its numerous targets, few side effects and substantial therapeutic benefits. In China and other East Asian countries, traditional herbal medicine is increasingly popular, and is highly accepted by patients as a clinical adjuvant therapy. Numerous studies have reported that herbal extracts and prescription medications are effective at combating tumors. It emphasizes that, by mainly regulating the P13K/AKT signaling pathway, the Wnt signaling pathway, and the NF-κB signaling pathway, herbal medicine induces apoptosis and inhibits the proliferation and migration of tumor cells. The present review discusses the anti-NSCLC mechanisms of herbal medicines and provides options for future adjuvant therapy in patients with NSCLC.
    Type of Medium: Online Resource
    ISSN: 1534-7354 , 1552-695X
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2101248-9
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  • 3
    In: Clinical and Applied Thrombosis/Hemostasis, SAGE Publications, Vol. 29 ( 2023-01), p. 107602962311710-
    Abstract: The accuracy of current prediction tools for venous thromboembolism (VTE) events following hernia surgery remains insufficient for individualized patient management strategies. To address this issue, we have developed a machine learning (ML)-based model to dynamically predict in-hospital VTE in Chinese patients after hernia surgery. Methods ML models for the prediction of postoperative VTE were trained on a cohort of 11 305 adult patients with hernia from the CHAT-1 trial, which included patients across 58 institutions in China. In data processing, data imputation was conducted using random forest (RF) algorithm, and balanced sampling was done by adaptive synthetic sampling algorithm. Data were split into a training cohort (80%) and internal validation cohort (20%) prior to oversampling. Clinical features available pre-operatively and postoperatively were separately selected using the Sequence Forward Selection algorithm. Nine-candidate ML models were applied to the pre-operative and combined datasets, and their performance was evaluated using various metrics, including area under the receiver operating characteristic curve (AUROC). Model interpretations were generated using importance scores, which were calculated by transforming model features into scaled variables and representing them in radar plots. Results The modeling cohort included 2856 patients, divided into 2536 cases for derivation and 320 cases for validation. Eleven pre-operative variables and 15 combined variables were explored as predictors related to in-hospital VTE. Acceptable-performing models for pre-operative data had an AUROC ≥ 0.60, including logistic regression, support vector machine with linear kernel (SVM_Linear), attentive interpretable Tabular learning (TabNet), and RF. For combined data, logistic regression, SVM_Linear, and TabNet had better performance, with an AUROC ≥ 0.65 for each model. Based on these models, 7 pre-operative predictors and 10 combined predictors were depicted in radar plots. Conclusions A ML-based approach for the identification of in-hospital VTE events after hernia surgery is feasible. TabNet showed acceptable performance, and might be useful to guide clinical decision making and VTE prevention. Further validated study will strengthen this finding.
    Type of Medium: Online Resource
    ISSN: 1076-0296 , 1938-2723
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2230591-9
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  • 4
    In: Therapeutic Advances in Medical Oncology, SAGE Publications, Vol. 15 ( 2023-01)
    Abstract: Research on the correlation between circulating tumor cells (CTCs) and gastric cancer (GC) has increased rapidly in recent years. However, whether CTCs are associated with GC patient prognosis is highly controversial. Objective: This study aims to evaluate the value of CTCs to predict the prognosis of GC patients. Design: A meta-analysis. Data Sources and Methods: We searched the PubMed, Embase, and Cochrane Library databases for studies that reported the prognostic value of CTCs in GC patients before October 2022. The association between CTCs and overall survival (OS) and disease-free survival (DFS)/recurrence-free survival (RFS) and progression-free survival (PFS) of GC patients was assessed. Subgroup analyses were stratified by sampling times (pre-treatment and post-treatment), detection targets, detection method, treatment method, tumor stage, region, and HR (Hazard Ratio) extraction methods. Sensitivity analysis was performed by removing individual studies to assess the stability of the results. Publication bias was evaluated using funnel plots, Egger’s test, and Begg’s test. Results: We initially screened 2000 studies, of which 28 were available for further analysis, involving 2383 GC patients. The pooled analysis concluded that the detection of CTCs was associated with poor OS (HR = 1.933, 95% CI 1.657–2.256, p  〈  0.001), DFS/RFS (HR = 3.228, 95% CI 2.475–4.211, p  〈  0.001), and PFS (HR = 3.272, 95% CI 1.970–5.435, p  〈  0.001). Furthermore, the subgroup analysis stratified by tumor stage ( p  〈  0.01), HR extraction methods ( p  〈  0.001), detection targets ( p  〈  0.001), detection method ( p  〈  0.001), sampling times ( p  〈  0.001), and treatment method ( p  〈  0.001) all showed that CTC detection was associated with poor OS and DFS/RFS for GC patients. Furthermore, the study showed that CTCs were associated with the poor DFS/RFS of GC when CTCs were detected for patients from Asian or No-Asian regions ( p  〈  0.05). In addition, higher CTCs predicted poorer OS for GC patients who are from Asian regions ( p  〈  0.001), but without statistical difference for GC patients from No-Asian regions ( p = 0.490). Conclusion: CTC detection in peripheral blood was associated with poor OS, DFS/RFS, and PFS in patients with GC.
    Type of Medium: Online Resource
    ISSN: 1758-8359 , 1758-8359
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2503443-1
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  • 5
    In: Therapeutic Advances in Medical Oncology, SAGE Publications, Vol. 16 ( 2024-01)
    Abstract: Due to the complex histological type and anatomical structures, there has been considerable debate on the classification of adenocarcinoma of the esophagogastric junction (AEG), especially Siewert II AEG. Furthermore, neither the American Joint Committee on Cancer (AJCC) 7th tumor–node–metastasis (TNM) [esophageal adenocarcinoma (E) or gastric cancer (G)] nor the AJCC 8th TNM (E or G) accurately predicted the prognosis of patients with Siewert II AEG. Objective: This study aimed to investigate the factors influencing the survival and prognosis of patients with Siewert II AEG and establish a new and better prognostic predictive model. Design: A retrospective study. Methods: Patients with Siewert II AEG, retrieved from the Surveillance, Epidemiology, and End Results (SEER) databases, were assigned to the training set. Patients retrieved from a single tertiary medical center were assigned to the external validation set. Significant variables were selected using univariate and multivariate Cox regression analyses to construct the nomogram. Nomogram models were assessed using the concordance index (C-index), a calibration plot, decision curve analysis (DCA), and external validation. Results: Age, tumor grade, and size, as well as the T, N, and M stages, were included in the nomograms. For the SEER training set, the C-index of the nomogram was 0.683 (0.665–0.701). The C-index of the nomogram for the external validation set was 0.690 (0.653–0.727). The calibration curve showed good agreement between the nomogram estimations and actual observations in both the training and external validation sets. The DCA showed that the nomogram was clinically useful. Conclusion: The new predictive model showed significant accuracy in predicting the prognosis of Siewert II AEG.
    Type of Medium: Online Resource
    ISSN: 1758-8359 , 1758-8359
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2024
    detail.hit.zdb_id: 2503443-1
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  • 6
    In: Molecular Pain, SAGE Publications, Vol. 13 ( 2017-01), p. 174480691774742-
    Type of Medium: Online Resource
    ISSN: 1744-8069 , 1744-8069
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2174252-2
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  • 7
    In: Integrative Cancer Therapies, SAGE Publications, Vol. 20 ( 2021-01), p. 153473542110316-
    Abstract: Traditional Chinese medicine (TCM) is widely integrated into cancer care in China. An overview in 2011 identified 2384 randomized and non-randomized controlled trials (RCTs, non-RCTs) on TCM for cancer published in the Chinese literature. This article summarizes updated evidence of RCTs on TCM for cancer care. Methods: We searched 4 main Chinese databases: China National Knowledge Infrastructure, Chinese Scientific Journal Database, SinoMed, and Wanfang. RCTs on TCM used in cancer care were analyzed in this bibliometric study. Results: Of 5834 RCTs (477 157 cancer patients), only 62 RCTs were indexed in MEDLINE. The top 3 cancers treated were lung, stomach, and breast cancer. About 4752 RCTs (81.45%) tested TCM combined with conventional treatment, and 1082 RCTs (18.55%) used TCM alone for treating symptoms and side-effects. Herbal medicine was the most frequently used TCM modality (5087 RCTs; 87.20%). The most frequently reported outcome was symptom improvement (3712 RCTs; 63.63%) followed by quality of life (2725 RCTs; 46.71%), and biomarkers (2384 RCTs; 40.86%). The majority of RCTs (4051; 69.44%) concluded there were beneficial effects using either TCM alone or TCM plus conventional treatment compared with conventional treatment. Conclusion: Substantial randomized trials demonstrated different types/stages of cancer were treated by various TCM modalities, alone or in combination with conventional medicine. Further evaluation on the effects and safety of TCM modalities focusing on outcomes such as quality of life is required.
    Type of Medium: Online Resource
    ISSN: 1534-7354 , 1552-695X
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2101248-9
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  • 8
    Online Resource
    Online Resource
    SAGE Publications ; 2022
    In:  Journal of International Medical Research Vol. 50, No. 6 ( 2022-06), p. 030006052211007-
    In: Journal of International Medical Research, SAGE Publications, Vol. 50, No. 6 ( 2022-06), p. 030006052211007-
    Abstract: To investigate the prognostic value for predicting mortality of partial pressure of oxygen/fraction of inspired oxygen (PaO 2 /FiO 2 ), the Sequential Organ Failure Assessment (SOFA) score and D-dimer in elderly patients with sepsis. Methods This retrospective cohort study enrolled elderly patients with sepsis admitted to the intensive care unit (ICU) between January 2019 and October 2020. Patients were divided into a survival group and a non-survival group. Biomarkers, SOFA, Acute Physiology and Chronic Health Evaluation II and Glasgow Coma Scale scores were recorded within 24 h after admission to the ICU. Results A total of 135 elderly patients with sepsis were enrolled in the study: 89 were in the survival group and 46 were in the non-survival group at 28 days. Univariate and multivariate regression analyses demonstrated that PaO 2 /FiO 2 , SOFA and D-dimer were independently associated with 28-day mortality. The predictive performance for mortality of the combination of PaO 2 /FiO 2 , SOFA score and D-dimer (area under the receiver operating characteristic curve of 0.926) was higher than the values for the individual factors (0.761, 0.745 and 0.878, respectively). Conclusion The combination of PaO 2 /FiO 2 , SOFA score and D-dimer represents a promising tool and biomarker for predicting 28-day mortality of the elderly patients with sepsis.
    Type of Medium: Online Resource
    ISSN: 0300-0605 , 1473-2300
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2082422-1
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  • 9
    In: Technology in Cancer Research & Treatment, SAGE Publications, Vol. 13, No. 1 ( 2014-02), p. 77-86
    Type of Medium: Online Resource
    ISSN: 1533-0346 , 1533-0338
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2146365-7
    detail.hit.zdb_id: 2220436-2
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  • 10
    Online Resource
    Online Resource
    SAGE Publications ; 2020
    In:  Journal of Chemical Research Vol. 44, No. 11-12 ( 2020-11), p. 695-698
    In: Journal of Chemical Research, SAGE Publications, Vol. 44, No. 11-12 ( 2020-11), p. 695-698
    Abstract: A new cadinane-type sesquiterpene named cornifronone is isolated from the body surface of a mason bee ( Osmia cornifrons)–derived Streptomyces sp. OC1611-8A. Its structure is identified by high-resolution electrospray ionization mass spectrometry data and nuclear magnetic resonance spectroscopic analysis. The absolute configuration of cornifronone was determined by electronic circular dichroism spectra calculations. Cornifronone inhibits hexokinase activity with a mean IC 50 of 124.3 μM.
    Type of Medium: Online Resource
    ISSN: 1747-5198 , 2047-6507
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 3010810-X
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