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LINK . SPRINGER . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Schema
  10. Social Networks
  11. External Links
  12. Analytics And Tracking
  13. Libraries
  14. CDN Services

We are analyzing https://link.springer.com/article/10.1007/s10528-024-10728-2.

Title:
Comprehensive Analysis of the SUMO-related Signature: Implication for Diagnosis, Prognosis, and Immune Therapeutic Approaches in Cervical Cancer | Biochemical Genetics
Description:
SUMOylation, an important post-translational protein modification, plays a critical role in cancer development and immune processes. This study aimed to construct diagnostic and prognostic models for cervical cancer (CC) using SUMOylation-related genes (SRGs) and explore their implications for novel clinical therapies. We analyzed the expression profiles of SRGs in CC patients and identified 15 SRGs associated with CC occurrence. After the subsequent qPCR verification of 20 cases of cancer and adjacent tissues, 13 of the 15 SRGs were differentially expressed in cancer tissues. Additionally, we identified molecular markers associated with the prognosis and recurrence of CC patients, based on SRGs. Next, a SUMOScore, based on SRG expression patterns, was generated to stratify patients into different subgroups. The SUMOScore showed significant associations with the tumor microenvironment, immune function features, immune checkpoint expression, and immune evasion score in CC patients, highlighting the strong connection between SUMOylation factors and immune processes. In terms of immune therapy, our analysis identified specific chemotherapy drugs with higher sensitivity in the subgroups characterized by high and low SUMOScore, indicating potential treatment options. Furthermore, we conducted drug sensitivity analysis to evaluate the response of different patient subgroups to conventional chemotherapy drugs. Our findings revealed enrichment of immune-related pathways in the low-risk subgroup identified by the prognostic model. In conclusion, this study presents diagnostic and prognostic models based on SRGs, accompanied by a comprehensive index derived from SRGs expression patterns. These findings offer valuable insights for CC diagnosis, prognosis, treatment, and immune-related analysis.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Science
  • Education
  • Health & Fitness

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 7,643,078 visitors per month in the current month.

check SE Ranking
check Ahrefs
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How Does Link.springer.com Make Money? {💸}

We can't figure out the monetization strategy.

Not every website is profit-driven; some are created to spread information or serve as an online presence. Websites can be made for many reasons. This could be one of them. Link.springer.com could be secretly minting cash, but we can't detect the process.

Keywords {🔍}

pubmed, article, google, scholar, cancer, cas, central, zhang, wang, immune, cervical, sumoylation, research, supplementary, material, analysis, chen, httpsdoiorgs, data, patients, liu, health, prognosis, sci, lin, study, machine, zhao, mol, jiangsu, prognostic, srgs, expression, treatment, access, huang, cell, yang, nat, china, nanjing, content, consent, comprehensive, diagnosis, model, learning, promotes, human, cells,

Topics {✒️}

electronic supplementary material stratifying her2+/er + breast cancer month download article/chapter mir-29b enhances radiosensitivity mapk signalling-induced phosphorylation tumor suppressor mir-204-3p holds exclusive rights explainable machine-learning models supervised learning-based approach metabolically-targeted osteosarcoma therapy multi-target pharmacological mechanism low-risk subgroup identified dna-binding independent inhibition central universities [2242023k40023] cervical cancer treated full article pdf mol cell biol sumoylation-related genes critical article revision cervical cancer risk thyroid dysfunction caused sponging mir-1306-5p lymph node metastasis sumoylation-regulated genes post-translational modification privacy choices/manage cookies immune-related analysis conventional chemotherapy drugs elf3-dependent pathway cervical intraepithelial neoplasia jiangsu province [22kjb330004] jiangsu province [kycx21_0162 cervical hpv infection human hepatocellular carcinoma fundamental research funds scientific research project planned parenthood research immune evasion score immune checkpoint inhibitors glioblastoma upregulates sumoylation post-translational modifications prognostic 15-gene signature immune checkpoint expression targeting pancreatic cancer transcription factor irf1 sumo-related signature related subjects immune-related pathways progression-free survival article zhang

Questions {❓}

  • Liu Y, Hu P, Xu L, Zhang X, Li Z, Li Y, Qiu H (2023b) Current progress on predictive biomarkers for response to Immune checkpoint inhibitors in gastric Cancer: how to maximize the Immunotherapeutic Benefit?
  • What is the status?

Schema {🗺️}

WebPage:
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         headline:Comprehensive Analysis of the SUMO-related Signature: Implication for Diagnosis, Prognosis, and Immune Therapeutic Approaches in Cervical Cancer
         description:SUMOylation, an important post-translational protein modification, plays a critical role in cancer development and immune processes. This study aimed to construct diagnostic and prognostic models for cervical cancer (CC) using SUMOylation-related genes (SRGs) and explore their implications for novel clinical therapies. We analyzed the expression profiles of SRGs in CC patients and identified 15 SRGs associated with CC occurrence. After the subsequent qPCR verification of 20 cases of cancer and adjacent tissues, 13 of the 15 SRGs were differentially expressed in cancer tissues. Additionally, we identified molecular markers associated with the prognosis and recurrence of CC patients, based on SRGs. Next, a SUMOScore, based on SRG expression patterns, was generated to stratify patients into different subgroups. The SUMOScore showed significant associations with the tumor microenvironment, immune function features, immune checkpoint expression, and immune evasion score in CC patients, highlighting the strong connection between SUMOylation factors and immune processes. In terms of immune therapy, our analysis identified specific chemotherapy drugs with higher sensitivity in the subgroups characterized by high and low SUMOScore, indicating potential treatment options. Furthermore, we conducted drug sensitivity analysis to evaluate the response of different patient subgroups to conventional chemotherapy drugs. Our findings revealed enrichment of immune-related pathways in the low-risk subgroup identified by the prognostic model. In conclusion, this study presents diagnostic and prognostic models based on SRGs, accompanied by a comprehensive index derived from SRGs expression patterns. These findings offer valuable insights for CC diagnosis, prognosis, treatment, and immune-related analysis.
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      headline:Comprehensive Analysis of the SUMO-related Signature: Implication for Diagnosis, Prognosis, and Immune Therapeutic Approaches in Cervical Cancer
      description:SUMOylation, an important post-translational protein modification, plays a critical role in cancer development and immune processes. This study aimed to construct diagnostic and prognostic models for cervical cancer (CC) using SUMOylation-related genes (SRGs) and explore their implications for novel clinical therapies. We analyzed the expression profiles of SRGs in CC patients and identified 15 SRGs associated with CC occurrence. After the subsequent qPCR verification of 20 cases of cancer and adjacent tissues, 13 of the 15 SRGs were differentially expressed in cancer tissues. Additionally, we identified molecular markers associated with the prognosis and recurrence of CC patients, based on SRGs. Next, a SUMOScore, based on SRG expression patterns, was generated to stratify patients into different subgroups. The SUMOScore showed significant associations with the tumor microenvironment, immune function features, immune checkpoint expression, and immune evasion score in CC patients, highlighting the strong connection between SUMOylation factors and immune processes. In terms of immune therapy, our analysis identified specific chemotherapy drugs with higher sensitivity in the subgroups characterized by high and low SUMOScore, indicating potential treatment options. Furthermore, we conducted drug sensitivity analysis to evaluate the response of different patient subgroups to conventional chemotherapy drugs. Our findings revealed enrichment of immune-related pathways in the low-risk subgroup identified by the prognostic model. In conclusion, this study presents diagnostic and prognostic models based on SRGs, accompanied by a comprehensive index derived from SRGs expression patterns. These findings offer valuable insights for CC diagnosis, prognosis, treatment, and immune-related analysis.
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         SUMOylation
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         Machine Learning
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         Medical Microbiology
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      name:Haohan Liu
      affiliation:
            name:Southeast University
            address:
               name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
               type:PostalAddress
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      name:Xue Chen
      affiliation:
            name:Southeast University
            address:
               name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
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            address:
               name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
               type:PostalAddress
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      name:Fengying Liu
      affiliation:
            name:Southeast University
            address:
               name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
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      name:Ning Lin
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            address:
               name:Jiangsu Institute of Planned Parenthood Research, Nanjing, China
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      email:[email protected]
      name:Shizhi Wang
      affiliation:
            name:Southeast University
            address:
               name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
      name:Department of Gynecology, Nanjing Maternity and Child Health Care Hospital, Women’s Hospital of Nanjing Medical University, Nanjing, China
      name:School of Health Management and Basic Science, Jiangsu Health Vocational College, Nanjing, China
      name:School of Medicine, Shihezi University, Xinjiang, China
      name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
      name:Department of Gynecology and Obstetrics, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
      name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
      name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
      name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
      name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
      name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
      name:Jiangsu Institute of Planned Parenthood Research, Nanjing, China
      name:Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
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