ReviewInternational journal of molecular sciences2025
Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology.
Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Circulating tumour cells for guiding antibody‒drug conjugate therapy: Role of artificial intelligence.Clinical and translational medicine · 2026Review
- Reconstruction of Cell Diversity and Cell Lineages from Somatic Mutations in Single-Cell Transcriptomic Data.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026Article
- Transforming Gastric Biopsy Diagnostics: Integrating Omics Technologies and Artificial Intelligence.Biomedicines · 2026Article
- Emerging Approaches in Breast Cancer: From Molecular Mechanisms to Diagnosis and Therapeutic Strategies.Oncology research · 2026Review
- Regulatory T cells in pregnancy disorders: a multi-dimensional framework for biomarkers and therapeutic strategies.Frontiers in immunology · 2026Review
- Recent Advances (2020-2025) in Estrogen and ER-Positive Breast Cancer: Receptor Signaling, Tumor Microenvironment, Endocrine Therapy Resistance and Innovative Treatment Strategies-A Comprehensive Review.Cancer management and research · 2026Review
- FGFR Aberrations in Solid Tumors: Mechanistic Insights and Clinical Translation of Targeted Therapies.Cancers · 2025Review
- Implications of Single-Cell RNA Sequencing in Cervical Cancer: Unravelling the Molecular Landscape.ACS omega · 2025Review
- Empirical Evaluation of Single-Cell Foundation Models for Predicting Cancer Outcomes.bioRxiv : the preprint server for biology · 2025Article
- Review
- Article
- Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach.Discover oncology · 2025Article
- Single-cell and spatial transcriptomics integration: new frontiers in tumor microenvironment and cellular communication.Frontiers in immunology · 2025Review
- Single-cell technologies and spatial transcriptomics: decoding immune low - response states in endometrial cancer.Frontiers in immunology · 2025Review
- Population health management through human phenotype ontology with policy for ecosystem improvement.Frontiers in artificial intelligence · 2025Article
- Single-cell transcriptomics in metastatic breast cancer: mapping tumor evolution and therapeutic resistance.Frontiers in genetics · 2025Review
- Navigating tumour microenvironment in endometrial carcinoma: a comprehensive review integrating immunohistochemistry, single-cell RNA-sequencing and spatial transcriptomics.Frontiers in oncology · 2025Review
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
This article reviews the impact of single-cell sequencing (SCS) on cancer biology research. SCS has revolutionized our understanding of cancer and tumor heterogeneity, clonal evolution, and the complex interplay between cancer cells and tumor microenvironment. SCS provides high-resolution profiling of individual cells in genomic, transcriptomic, and epigenomic landscapes, facilitating the detection of rare mutations, the characterization of cellular diversity, and the integration of molecular data with phenotypic traits. The integration of SCS with multi-omics has provided a multidimensional view of cellular states and regulatory mechanisms in cancer, uncovering novel regulatory mechanisms and therapeutic targets. Advances in computational tools, artificial intelligence (AI), and machine learning have been crucial in interpreting the vast amounts of data generated, leading to the identification of new biomarkers and the development of predictive models for patient stratification. Furthermore, there have been emerging technologies such as spatial transcriptomics and in situ sequencing, which promise to further enhance our understanding of tumor microenvironment organization and cellular interactions. As SCS and its related technologies continue to advance, they are expected to drive significant advances in personalized cancer diagnostics, prognosis, and therapy, ultimately improving patient outcomes in the era of precision oncology.
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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.