Discover. Oncology最新文献

{"title":"Segmental bronchi radiation dose affected the progression of radiation pneumonitis in lung cancer patients.","authors":"Gai Liang, RuiJie Chang, Qu Zhang, Yan Luo, Yi Peng, Bo Luo","doi":"10.1007/s12672-025-02569-1","DOIUrl":"https://doi.org/10.1007/s12672-025-02569-1","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the association between the segmental bronchi radiation dose and radiation pneumonitis (RP) in patients with lung cancer who underwent radiotherapy.</p><p><strong>Methods: </strong>A total of 135 patients with lung cancer who were treated with radiation therapy between December 2014 and December 2015 were enrolled in the study. RP was defined and graded according to the criteria of the Radiation Therapy Oncology Group. The radiation dose to the segmental bronchi, along with clinical, and other dosimetric factors were recorded. Logistic regression analysis was used to evaluate the association between the related factors and RP.</p><p><strong>Results: </strong>Among the 135 enrolled patients, 24 (17.8%) developed grade 3 radiation pneumonitis or higher. Study found that RP was associated with the following factors: patient age, complications with chronic obstructive pulmonary disease, concurrent chemotherapy, percentage of lung volume receiving more than 30 Gy (V30), whole lung volume, and the segmental bronchi maximum and mean dose. Logistic regression analysis showed that the maximum dose of the segmental bronchi, whole lung volume, and V30 were independent risk factors for RP. According to the receiver operating characteristic curve, the maximum dose constraint of the segmental bronchi during radiotherapy is estimated at 23.85 Gy.</p><p><strong>Conclusion: </strong>The segmental bronchi radiation dose should be considered as a normal tissue constraint, in addition to whole lung volume and V30 in radiotherapy for patients with lung cancer to decrease the incidence of RP.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"793"},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating single-cell with transcriptome-proteome Mendelian randomization reveals colorectal cancer targets.","authors":"Song Wang, Xin Yao, Shenshen Li, Shanshan Wang, Xuyu Huang, Jing Zhou, Xiao Li, Jieying Wen, Weixuan Lan, Yunsi Huang, Hao Li, Yunlong Sun, Xiaoqian Zhao, Qiaoling Chen, Xuedong Han, Ziming Zhu, Xinyue Zhang, Tao Zhang","doi":"10.1007/s12672-025-02636-7","DOIUrl":"https://doi.org/10.1007/s12672-025-02636-7","url":null,"abstract":"<p><strong>Background: </strong>Colorectal carcinogenesis involves dynamic interactions between genetic susceptibility and cellular heterogeneity, yet current studies rarely disentangle causal genes from passive associations. While GWAS have mapped numerous risk loci, only a minority colocalize with eQTL/pQTL. A multi-omics framework combining single-cell transcriptomics, transcriptomics, proteomics, and MR is urgently needed to resolve cell-type-specific drivers of colorectal cancer pathogenesis.</p><p><strong>Methods: </strong>We integrated GWAS data, eQTL data, pQTL data, and single-cell RNA sequencing differential gene expression profiles from public databases. Subsequent batch Two-sample Mendelian randomization and further SMR analysis aimed to identify key genes in the pathogenesis of colorectal cancer.</p><p><strong>Results: </strong>Cluster analysis identified 4909 DEGs across various cell types. We discovered that 428 DEGs had a causal association with colorectal cancer through eQTL, of which 38 genes met the FDR statistical standards, and four of these genes (CTSF, PCSK7, LYZ, LMAN2L) also had causal associations through pQTL. SMR analysis confirmed the reliability of PCSK7 as a disease target.</p><p><strong>Conclusion: </strong>By integrating single-cell data, transcriptomic data, proteomic data and GWAS data for MR analysis, we identified CTSF, PCSK7, LYZ, LMAN2L as potential targets for colorectal cancer.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"794"},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of ER-phagy regulatory genes on the microenvironment of hepatocellular carcinoma: a comprehensive analysis.","authors":"Rongchang Zhao, Dan Ding, Minhui Bao, Yan Ding, Rongjie Ding, Jun Liu, Yu Li, Chunrong Zhu","doi":"10.1007/s12672-025-02649-2","DOIUrl":"https://doi.org/10.1007/s12672-025-02649-2","url":null,"abstract":"<p><p>The relationships between gene regulatory functions and hepatocellular carcinoma (HCC) occurrence and progression are constantly being clarified. However, tumour microenvironment complexity has hindered the classification of the role of genes. A comprehensive analysis to further clarify gene functions could provide additional benefits to HCC patients. In the present study, we combined single-cell sequencing data, Mendelian randomization, and bioinformatics analysis for comprehensive analysis. After the study was completed we found that T cell, dendritic cell (DC), macrophage and monocyte contents and the interaction between immune cells in the HCC microenvironment differed between the microvascular invasion-positive (MVI +) and microvascular invasion-negative (MVI-) groups. Mendelian randomization analysis indicated that causal relationships between several endoplasmic reticulum autophagy (ER-phagy) genes and T cell, DC, macrophage and monocyte contents. Single-cell sequencing data were used to validate the association of these genes with immune cells in the microenvironment. Based on the above results, we preliminarily elucidated the potential role of ER autophagy in the HCC microenvironment. Furthermore, a prognostic model was constructed using these causal association genes, which could accurately predict the prognosis and survival of HCC patients.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"795"},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lesson from a metastatic male breast cancer case: CDK4/6 plus aromatase inhibitors could not exceed tamoxifen.","authors":"Tala Najdi, Samah Seif, Nahed Damaj, Joseph Kattan","doi":"10.1007/s12672-025-02571-7","DOIUrl":"https://doi.org/10.1007/s12672-025-02571-7","url":null,"abstract":"<p><p>Male breast cancer (MaBC) is a rare disease, and treatment approaches are often extrapolated from female breast cancer protocols. We present the case of a 55-year-old male diagnosed with estrogen receptor-positive metastatic breast cancer who exhibited primary resistance to first-line treatment with a combination of Palbociclib (CDK4/6 inhibitor) and Letrozole (aromatase inhibitor), despite the proven efficacy of this combination in female breast cancer. Surprisingly, upon switching to Tamoxifen, the patient showed rapid and significant clinical improvement documented as a good partial response on radiologic assessment. This case highlights the potential limitations of CDK4/6 inhibitors plus aromatase inhibitors in MaBC and suggests that Tamoxifen could remain a more reliable first-line endocrine therapy in males. It underscores the need for cautious extrapolation of female breast cancer treatment strategies to MaBC and emphasizes the adherence to classical approaches, such as tamoxifen.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"796"},"PeriodicalIF":2.8,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the potential role of ADRB1 as a tumor suppressor gene and prognostic biomarker in pan-cancer analysis.","authors":"Shenghan Xu, Xinlei Wang, Yani Wang, Min Liu, Hao Chen","doi":"10.1007/s12672-025-02460-z","DOIUrl":"https://doi.org/10.1007/s12672-025-02460-z","url":null,"abstract":"<p><strong>Background: </strong>The β₁-adrenergic receptor (β₁-AR) is an important membrane receptor belonging to the G protein coupled receptors, encoded by ADRB1. Norepinephrine released by the sympathetic nerve activates β-adrenergic receptors. Compared with β₂-adrenergic receptor (β₂-AR), β₁-AR has higher affinity for norepinephrine. However, the current research is mostly limited to the role of β₂-AR in cancer development, and the effect and mechanism of β₁-AR on cancer prognosis are still unclear.</p><p><strong>Methods: </strong>We analyzed ADRB1 expression in different types of cancer and corresponding normal tissues. The correlation between ADRB1 expression and pathological grade, stage and survival of cancers were analyzed. We explored the methylation level of ADRB1 in various cancers. The cBioPortal website was used to determine the mutation characteristics of ADRB1 in cancer tissues. Additionally, the CancerSEA website was employed to explore the correlation between ADRB1 expression and different functional states in cancers. We also analyzed the correlation between ADRB1 expression and immune checkpoint (ICP) genes, tumor mutation burden (TMB), microsatellite instability (MSI), neoantigens and cancer-infiltrating immune cells.</p><p><strong>Results: </strong>Our results showed that ADRB1 expression was downregulated in the majority of solid cancers. The ADRB1 expression was significantly associated with the prognosis of cancer. High expression of ADRB1 was found to be a protective factor for patients with several types of cancer. In some cancers, ADRB1 expression was associated with clinical pathological stages. Functional relevance analysis indicated the crucial role of ADRB1 in regulating multiple biological behaviors of cancer cells. The expression of ADRB1 was associated with TMB, MSI, neoantigens and immune cell infiltration in cancers.</p><p><strong>Conclusions: </strong>These comprehensive pan-cancer analysis suggested that ADRB1 plays a protective role in various cancer types, such as skin cutaneous melanoma and lung adenocarcinoma. This may provide a new idea for the clinical treatment of cancer patients.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"790"},"PeriodicalIF":2.8,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sialyltransferase gene signature as a predictor of prognosis and therapeutic response in kidney renal clear cell carcinoma.","authors":"Huiyu Liu, Changwei Zhou, Zaichun Yan, Hairong Yang, Yun Zhao, Rui Tian, Xuejun Bo, Leizuo Zhao, Wei Ren","doi":"10.1007/s12672-025-02566-4","DOIUrl":"10.1007/s12672-025-02566-4","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Sialyltransferases are enzymes involved in the addition of sialic acid to glycoproteins and glycolipids, influencing various physiological and pathological processes. The expression and function of sialyltransferases in tumors, particularly in kidney renal clear cell carcinoma (KIRC) remained underexplored. This study aimed to develop a prognostic model based on sialyltransferase-related genes (SRGs) to predict the prognosis and treatment response of patients with KIRC.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;We utilized RNA-Seq data of KIRC from The Cancer Genome Atlas (TCGA) database, selecting samples with survival data and clinical outcomes. Somatic mutation and neoantigen data were analyzed using the \"maftools\" package, and genes involved in the sialylation process were identified through the Molecular Signatures Database. Validation cohorts of KIRC samples were obtained from the International Cancer Genome Consortium (ICGC) database. Single-cell RNA sequencing (scRNA-seq) data were downloaded from the Gene Expression Omnibus (GEO) platform, and preprocessing, normalization, and dimensionality reduction analyses were conducted using the \"Seurat\" package. Differentially expressed sialylation genes were identified using the \"limma\" package, and their functional enrichment was assessed via Gene Ontology GO and KEGG analyses. Consensus clustering analysis was performed to identify molecular subtypes of KIRC based on sialylation, and drug sensitivity of different subtypes was evaluated using the \"pRRophetic\" package. A risk signature model comprising 5 SRGs was constructed through univariate and multivariate Cox regression analyses and validated in both the TCGA and ICGC cohorts. The \"estimate\" package was utilized to calculate immune and stromal scores for each KIRC sample, assessing the tumor immune microenvironment characteristics of different subtypes.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Analysis of scRNA-seq data identified 25 cell subtypes, categorized into 9 cell types. CD4 + memory cells exhibited the highest potential interactions with other cell subtypes. We identified 14 differentially expressed sialylation genes and confirmed their enrichment in various biological pathways through GO and KEGG analyses. Consensus clustering analysis based on sialylation identified 2 molecular subtypes: C1 and C2. The C2 subtype demonstrated higher sialylation scores and poorer prognosis. Drug sensitivity analysis indicated that the C1 subtype had better responses to Dasatinib and Lapatinib, whereas the C2 subtype was more sensitive to Epothilone B and Vinorelbine. The risk signature model, constructed with five distinct SRGs, exhibited strong predictive accuracy, as indicated by Area Under the Curve (AUC) values of 0.68, 0.69, and 0.70 for 1-, 3-, and 5-year survival, respectively, across both the TCGA and ICGC validation cohorts. Immune microenvironment analysis revealed that the C1 subtype exhibited higher immune and stromal score","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"785"},"PeriodicalIF":2.8,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144076603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel technique in intraoperative localisation of skin cancer metastasis using ultrasound guidance: a case report.","authors":"Nadin Hawwash, Amr Fadel, Niranjan Bista, Damian Mullan, Damir Kosutic","doi":"10.1007/s12672-025-02463-w","DOIUrl":"10.1007/s12672-025-02463-w","url":null,"abstract":"<p><strong>Background: </strong>Localisation of metastatic squamous cell carcinoma (SCC) often poses intraoperative challenges. There is limited description of surgical practices to address these difficulties in the literature. Low-frequency ultrasound use intraoperatively may enhance tumour detection and facilitate complete resection.</p><p><strong>Case presentation: </strong>We present the case of a 78-year-old male with right-sided intra-parotid metastatic SCC requiring surgical excision. This was completed under intraoperative ultrasound scan guidance. Preoperative whole-body PET-CT and MRI of the head were inadequate for confirming accurate lesion localisation regarding the depth of invasion and facial nerve involvement. Intraoperative ultrasound performed by a consultant radiologist guided the metastasectomy by confirming lesion boundaries, navigating safe excision by sparing the facial nerve branches and facilitating the avoidance of more radical resection. Full resection with no residual disease was confirmed intraoperatively with the ultrasound.</p><p><strong>Conclusion: </strong>We propose using ultrasound guidance intraoperatively to aid localisation and excision of metastatic disease in anatomically challenging sites.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"778"},"PeriodicalIF":2.8,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144076502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Specific signaling pathways mediated programmed cell death in tumor microenvironment and target therapies.","authors":"Chengpeng Sun, Jiawei Gui, Yilei Sheng, Le Huang, Xingen Zhu, Kai Huang","doi":"10.1007/s12672-025-02592-2","DOIUrl":"10.1007/s12672-025-02592-2","url":null,"abstract":"<p><p>Increasing evidence has shown that programmed cell death (PCD) plays a crucial role in tumorigenesis and cancer progression. The components of PCD are complex and include various mechanisms such as apoptosis, necroptosis, alkaliptosis, oxeiptosis, and anoikis, all of which are interrelated in their functions and regulatory pathways. Given the significance of these processes, it is essential to conduct a comprehensive study on PCD to elucidate its multifaceted nature. Key signaling pathways, particularly the caspase signaling pathway, the RIPK1/RIPK3/MLKL pathway, and the mTOR signaling pathway, are pivotal in regulating PCD and influencing tumor progression. In this review, we briefly describe the generation mechanisms of different PCD components and focus on the regulatory mechanisms of these three major signaling pathways within the context of global PCD. Furthermore, we discuss various tumor therapeutic compounds that target different signaling axes of these pathways, which may provide novel strategies for effective tumor therapy and help improve patient outcomes in cancer treatment.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"776"},"PeriodicalIF":2.8,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144076654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Survival outcomes in trial defined high-risk hormone receptor-positive/human epidermal growth factor receptor II-negative early breast cancer: impact of adjuvant chemotherapy.","authors":"Ta-Chung Chao, Deanna Gracia, Chan-Heng Ho, Hao-Yang Chen, Chi-Cheng Huang, Ling-Ming Tseng","doi":"10.1007/s12672-025-02601-4","DOIUrl":"10.1007/s12672-025-02601-4","url":null,"abstract":"<p><strong>Background: </strong>Clinical trials have shown the efficacy of adding CDK4/6 inhibitors to standard endocrine therapy in hormone receptor (HR)-positive, human epidermal growth factor receptor II (HER2)-negative high-risk early breast cancer.</p><p><strong>Materials and methods: </strong>HR+ /HER2- early breast cancers were retrieved from cancer registry. The primary endpoints were overall survival (OS) and recurrence-free survival (RFS) among trial-defined high-risk patients, as well as the impact of adjuvant chemotherapy.</p><p><strong>Results: </strong>Among 2758 registered cases, 511 and 1207 patients met MonarchE (M) and NATALEE (N) high-risk criteria, respectively. OS was 94.8% for M-high/N-high, 96.8% for M-low/N-high, 90.7% for M-high/N-low, and 98.9% for M-low/N-low patients, with a hazard ratio (HR) of 2.3 and 2.8 for M-high and N-high, respectively. For RFS, chemotherapy reduced recurrence risk in M-high patients (HR: 0.24) but showed no benefit for N-high patients overall, except for stage III N-high cases (HR: 0.2).</p><p><strong>Conclusion: </strong>Adjuvant chemotherapy significantly reduced recurrence risk in M-high patients with early breast cancer. Further stratification of M-low/N-high patients is needed to guide tailored chemotherapy approaches alongside CDK4/6 inhibition.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"783"},"PeriodicalIF":2.8,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144076656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating multi-omics data to identify the role of Aggrephagy-related genes in tumor microenvironment and key tumorigenesis factors of GB from the perspective of single-cell sequencing.","authors":"Zipei Chen, Shengke Zhang, Chenglu Jiang, Lai Jiang, Haiqing Chen, Jinbang Huang, Jie Liu, Guanhu Yang, Xiufang Luo, Hao Chi, Jiangping Fu","doi":"10.1007/s12672-025-02431-4","DOIUrl":"10.1007/s12672-025-02431-4","url":null,"abstract":"<p><p>This study presents a pioneering exploration into the role of aggrephagy-related genes (ARGs) in glioblastoma (GB), a kind of malignant tumor which is highly invasive and resistant to a series of therapy. Utilizing single-cell sequencing to dissect their influence on the tumor microenvironment (TME) and tumorigenesis. By applying non-negative matrix factorization for dimensionality reduction and clustering of single-cell data, distinct cellular subtypes within the TME influenced by ARGs were identified, uncovering their functions and interactions. The investigation extends to validating the prognostic significance of ARGs and their potential in predicting immunotherapy outcomes. Molecular docking analysis of key ARGs further highlights TUBA1C and UBB as promising therapeutic targets, offering novel insights into GB's complex biology and suggesting a targeted approach for therapy, which is characterized by some crucial pathways in our analysis, including PI3k-akt and TGF-beta pathways. This comprehensive single-cell level examination not only advances our understanding of aggrephagy's role in GB but also proposes new avenues for prognosis and treatment strategies, emphasizing the critical impact of ARGs on the TME and GB progression.</p>","PeriodicalId":11148,"journal":{"name":"Discover. Oncology","volume":"16 1","pages":"777"},"PeriodicalIF":2.8,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144076264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}