ArticleCancers2020
Senescence-Associated Secretory Phenotype Determines Survival and Therapeutic Response in Cervical Cancer.
Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- HPV Infection and Oxidative Stress in Cervical Carcinogenesis: Linking Apoptosis, Senescence, SASP, and EMT.Antioxidants (Basel, Switzerland) · 2026Review
- Personalised Medicine in Cervical Cancer: Evaluating Therapy Resistance Through Multi-Model Approaches.Cancer medicine · 2025Article
- Understanding HPV-Induced Cancers and Investigating the Barriers Faced by Low- and Middle-Income Countries in Prevention and Treatment.International journal of molecular sciences · 2025Review
- Identification of CCNB1 as a biomarker for cellular senescence in hepatocellular carcinoma: a bioinformatics and experimental validation study.Discover oncology · 2025Article
- The Regulation of Cellular Senescence in Cancer.Biomolecules · 2025Review
- Review
- Yearning for machine learning: applications for the classification and characterisation of senescence.Cell and tissue research · 2023Review
- A risk stratification and prognostic prediction model for lung adenocarcinoma based on aging-related lncRNA.Scientific reports · 2023Article
- Comprehensive Expression Profiling and Molecular Basis of CDC28 Protein Kinase Regulatory Subunit 2 in Cervical Cancer.International journal of genomics · 2022Article
- Nutrition Interventions of Herbal Compounds on Cellular Senescence.Oxidative medicine and cellular longevity · 2022Review
- Plasma Proteins and Cancer.Cancers · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
Molecular biomarkers that can predict survival and therapeutic outcome are still lacking for cervical cancer. Here we measured a panel of 19 serum proteins in sera from 565 patients with stage II or III cervical cancer and identified 10 proteins that have an impact on disease specific survival (DSS) (Hazzard's ratio; HR = 1.51-2.1). Surprisingly, all ten proteins are implicated in senescence-associated secreted phenotype (SASP), a hallmark of cellular senescence. Machine learning using Ridge regression of these SASP proteins can robustly stratify patients with high SASP, which is associated with poor survival, and patients with low SASP associated with good survival (HR = 3.09-4.52). Furthermore, brachytherapy, an effective therapy for cervical cancer, greatly improves survival in SASP-high patients (HR = 3.3,
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.