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      Nursing Observation on the Clinical Efficacy and Toxicity of Lobaplatin Compared with Cisplatin in the Treatment of Locally Advanced Hypopharyngeal Carcinoma Based on Intelligent CT Imaging

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      Journal of Healthcare Engineering
      Hindawi

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          Abstract

          With the acceleration of people's life rhythm, the incidence of hypopharyngeal cancer has generally increased. This study mainly explores the clinical efficacy and toxicity of lobaplatin compared with cisplatin in the treatment of locally advanced hypopharyngeal carcinoma based on intelligent CT imaging. Group A received lobaplatin combined with docetaxel induction chemotherapy for 2 cycles after cisplatin combined with intensity-modulated radiotherapy. Lobaplatin was added to the patient, then, 200 ml of 5% glucose was added, and the patient was injected intravenously for 1.8 hours. After 2 cycles of induction chemotherapy, simultaneous lobaplatin chemotherapy was performed every week for 5 weeks (10 mg/week), and the efficacy was evaluated after 4 consecutive courses of treatment. Group B received cisplatin combined with docetaxel induction chemotherapy after 2 cycles of cisplatin combined with intensity-modulated radiotherapy. Group C was the control group and was not treated with cisplatin or docetaxel. Stomach protection treatment was given in time throughout the treatment process. All patients underwent normal CT (NCCT) and enhanced CT (CECT) examinations before treatment. We extracted 5 mm plain scan CTQNCCT and enhanced CT (CECT) digital DICOM images from the PACS system for omics feature selection. Toxic and side effects are rated in different degrees according to the evaluation criteria of the National Cancer Institute (NCD) common adverse events. Blood routine and liver and kidney function tests were checked every week, and the medication was stopped immediately if there is a serious reaction. In addition, in vitro cell culture was set up to test the inhibitory effect of cisplatin and lobaplatin on the proliferation of cancer cells. The incidence of digestive tract reaction was 13.0% in the A plan group and 58.3% in the B plan group. The A group was lower than the B group, and the difference was statistically significant ( P=0.001 < 0.05). Compared with cisplatin, lobaplatin has a milder gastrointestinal reaction, and there is no common hepatic and renal toxicity of cisplatin. This study is helpful to provide guidance for the clinical efficacy of locally advanced hypopharyngeal cancer treatment.

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          A multi-omics-based serial deep learning approach to predict clinical outcomes of single-agent anti-PD-1/PD-L1 immunotherapy in advanced stage non-small-cell lung cancer

          Only 20% NSCLC patients benefit from immunotherapy with a durable response. Current biomarkers are limited by the availability of samples and do not accurately predict who will benefit from immunotherapy. To develop a unified deep learning model to integrate multimodal serial information from CT with laboratory and baseline clinical information. We retrospectively analyzed 1633 CT scans and 3414 blood samples from 200 advanced stage NSCLC patients who received single anti-PD-1/PD-L1 agent between April 2016 and December 2019. Multidimensional information, including serial radiomics, laboratory data and baseline clinical data, was used to develop and validate deep learning models to identify immunotherapy responders and nonresponders. A Simple Temporal Attention (SimTA) module was developed to process asynchronous time-series imaging and laboratory data. Using cross-validation, the 90-day deep learning-based predicting model showed a good performance in distinguishing responders from nonresponders, with an area under the curve (AUC) of 0.80 (95% CI: 0.74-0.86). Before immunotherapy, we stratified the patients into high- and low-risk nonresponders using the model. The low-risk group had significantly longer progression-free survival (PFS) (8.4 months, 95% CI: 5.49-11.31 vs . 1.5 months, 95% CI: 1.29-1.71; HR 3.14, 95% CI: 2.27-4.33; log-rank test, P <0.01) and overall survival (OS) (26.7 months, 95% CI: 18.76-34.64 vs . 8.6 months, 95% CI: 4.55-12.65; HR 2.46, 95% CI: 1.73-3.51; log-rank test, P <0.01) than the high-risk group. An exploratory analysis of 93 patients with stable disease (SD) [after first efficacy assessment according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1] also showed that the 90-day model had a good prediction of survival and low-risk patients had significantly longer PFS (11.1 months, 95% CI: 10.24-11.96 vs . 3.3 months, 95% CI: 0.34-6.26; HR 2.93, 95% CI: 1.69-5.10; log-rank test, P<0.01) and OS (31.7 months, 95% CI: 23.64-39.76 vs . 17.2 months, 95% CI: 7.22-27.18; HR 2.22, 95% CI: 1.17-4.20; log-rank test, P =0.01) than high-risk patients. In conclusion, the SimTA-based multi-omics serial deep learning provides a promising methodology for predicting response of advanced NSCLC patients to anti-PD-1/PD-L1 monotherapy. Moreover, our model could better differentiate survival benefit among SD patients than the traditional RECIST evaluation method.
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            Treatment trends and survival effects of chemotherapy for hypopharyngeal cancer: Analysis of the National Cancer Data Base : Chemotherapy Outcomes in the Hypopharynx

            The current study was performed to characterize trends and survival outcomes for chemotherapy in the definitive and adjuvant treatment of hypopharyngeal cancer in the United States.
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              Multiomics-Identified Intervention to Restore Ethanol-Induced Dysregulated Proteostasis and Secondary Sarcopenia in Alcoholic Liver Disease

              (2021)
              BACKGROUND/AIMS: Signaling and metabolic perturbations contribute to dysregulated skeletal muscle protein homeostasis and secondary sarcopenia in response to a number of cellular stressors including ethanol exposure. Using an innovative multiomics-based curating of unbiased data, we identified molecular and metabolic therapeutic targets and experimentally validated restoration of protein homeostasis in an ethanol-fed mouse model of liver disease. METHODS: Studies were performed in ethanol-treated differentiated C2C12 myotubes and physiological relevance established in an ethanol-fed mouse model of alcohol-related liver disease (mALD) or pair-fed control C57BL/6 mice. Transcriptome and proteome from ethanol treated-myotubes and gastrocnemius muscle from mALD and pair-fed mice were analyzed to identify target pathways and molecules. Readouts including signaling responses and autophagy markers by immunoblots, mitochondrial oxidative function and free radical generation, and metabolic studies by gas chromatography-mass spectrometry and sarcopenic phenotype by imaging. RESULTS: Multiomics analyses showed that ethanol impaired skeletal muscle mTORC1 signaling, mitochondrial oxidative pathways, including intermediary metabolite regulatory genes, interleukin-6, and amino acid degradation pathways are β-hydroxymethyl-butyrate targets. Ethanol decreased mTORC1 signaling, increased autophagy flux, impaired mitochondrial oxidative function with decreased tricarboxylic acid cycle intermediary metabolites, ATP synthesis, protein synthesis and myotube diameter that were reversed by HMB. Consistently, skeletal muscle from mALD had decreased mTORC1 signaling, reduced fractional and total muscle protein synthesis rates, increased autophagy markers, lower intermediary metabolite concentrations, and lower muscle mass and fiber diameter that were reversed by β-hydroxymethyl-butyrate treatment. CONCLUSION: An innovative multiomics approach followed by experimental validation showed that β-hydroxymethyl-butyrate restores muscle protein homeostasis in liver disease.
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                Author and article information

                Contributors
                Journal
                J Healthc Eng
                J Healthc Eng
                JHE
                Journal of Healthcare Engineering
                Hindawi
                2040-2295
                2040-2309
                2021
                30 June 2021
                : 2021
                : 9982888
                Affiliations
                Department of Radiotherapy, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar 161000, Heilongjiang, China
                Author notes

                Academic Editor: Zhihan Lv

                Author information
                https://orcid.org/0000-0003-4116-6907
                Article
                10.1155/2021/9982888
                8266440
                50e10978-c038-4332-b94e-9906dcbb07b7
                Copyright © 2021 Yunyan Li et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 March 2021
                : 12 June 2021
                : 24 June 2021
                Funding
                Funded by: Qiqihar Science and Technology Bureau
                Award ID: SFZD-2019142
                Categories
                Research Article

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