ReviewBiomarker research2020
Research and application of single-cell sequencing in tumor heterogeneity and drug resistance of circulating tumor cells.
Review in Biomarker research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Tumor-intrinsic MHC-II activation in pancreatic ductal adenocarcinoma enhances immune response and treatment efficacy.bioRxiv : the preprint server for biology · 2025Article
- Article
- Animal models of lung cancer: Phenotypic comparison of different animal models of lung cancer and their application in the study of mechanisms.Animal models and experimental medicine · 2025Review
- ESRP1 drives subtype-specific breast cancer progression through ER-regulated transcriptional programs and EMT-related splicing switch.American journal of cancer research · 2025Article
- Predicting gene signature in breast cancer patients with multiple machine learning models.Discover oncology · 2024Article
- From Tyrosine Kinases to Tyrosine Phosphatases: New Therapeutic Targets in Cancers and Beyond.Pharmaceutics · 2024Review
- An exploratory study of cell stiffness as a mechanical label-free biomarker across multiple musculoskeletal sarcoma cells.BMC cancer · 2023Article
- Advances in single-cell RNA sequencing and its applications in cancer research.Journal of hematology & oncology · 2023Review
- Cancer-Associated Fibroblasts Affect Tumor Metabolism and Immune Microenvironment in Gastric Cancer and Identification of Its Characteristic Genes.Journal of oncology · 2023Article
- Bibliometric and visual analysis of single-cell sequencing from 2010 to 2022.Frontiers in genetics · 2023Article
- Metabolic reprogramming and crosstalk of cancer-related fibroblasts and immune cells in the tumor microenvironment.Frontiers in endocrinology · 2022Review
- Exploration of the immune microenvironment of breast cancer in large population cohorts.Frontiers in endocrinology · 2022Article
- Identification of the alpha linolenic acid metabolism-related signature associated with prognosis and the immune microenvironment in nasopharyngeal carcinoma.Frontiers in endocrinology · 2022Article
- A transcriptional biosensor to monitor single cancer cell therapeutic responses by bioluminescence microscopy.Theranostics · 2022Article
- Exploration of the underlying biological differences and targets in ovarian cancer patients with diverse immunotherapy response.Frontiers in immunology · 2022Article
- Application and prospects of single cell sequencing in tumors.Biomarker research · 2021Review
- The combination of computed tomography features and circulating tumor cells increases the surgical prediction of visceral pleural invasion in clinical T1N0M0 lung adenocarcinoma.Translational lung cancer research · 2021Article
- Assessment of 5-Aminolevulinic Acid-Mediated Photodynamic Therapy on Bone Metastases: An in Vitro Study.Biology · 2021Article
- Implications of prognosis-associated genes in pancreatic tumor metastasis: lessons from global studies in bioinformatics.Cancer metastasis reviews · 2021Review
- Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing - Review.Biomolecules · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Malignant tumor is a largely harmful disease worldwide. The cure rate of malignant tumors increases with the continuous discovery of anti-tumor drugs and the optimisation of chemotherapy options. However, drug resistance of tumor cells remains a massive obstacle in the treatment of anti-tumor drugs. The heterogeneity of malignant tumors makes studying it further difficult for us. In recent years, using single-cell sequencing technology to study and analyse circulating tumor cells can avoid the interference of tumor heterogeneity and provide a new perspective for us to understand tumor drug resistance.
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.