ReviewBiomarker research2021
Application and prospects of single cell sequencing in tumors.
Review in Biomarker research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Circulating Tumour Cells as Potential Biomarkers for Oral Squamous Cell Carcinoma.Molecules (Basel, Switzerland) · 2026Review
- Adrenal tumor microenvironment: hormone-immune crosstalk, molecular heterogeneity, and immunotherapeutic opportunities.Frontiers in immunology · 2026Review
- AI-Integrated Micro/Nanorobots for Biomedical Applications: Recent Advances in Design, Fabrication, and Functions.Biosensors · 2025Review
- Blood-based DNA methylation markers for autism spectrum disorder identification using machine learning.Epigenomics · 2025Article
- Decoding the metabolic dialogue in the tumor microenvironment: from immune suppression to precision cancer therapies.Experimental hematology & oncology · 2025Review
- Single-Cell Sequencing: An Emerging Tool for Biomarker Development in Nuclear Emergencies and Radiation Oncology.Cancers · 2025Review
- Radiogenomic Landscape of Metastatic Endocrine-Positive Breast Cancer Resistant to Aromatase Inhibitors.Cancers · 2025Review
- Cryoablation-induced modulation of Treg cells and the TGF-β pathway in lung adenocarcinoma: implications for increased antitumor immunity.BMC medicine · 2025Article
- Applications and Prospects of Single-Cell RNA Sequencing and Spatial Transcriptomics in Cervical Cancer.BioMed research international · 2025Review
- Single-cell sequencing in molecular diagnostics: Transformative yet untapped potential.Frontiers in genetics · 2025Review
- Single-cell sequencing combined with machine learning to identify glioma biomarkers and therapeutic targets.Frontiers in oncology · 2025Article
- The role of LOXL2 in tumor progression, immune response and cellular senescence: a comprehensive analysis.Discover oncology · 2024Article
- Advances in single-cell RNA sequencing and its applications in cancer research.Journal of hematology & oncology · 2023Review
- Single-cell RNA-seq reveals intratumoral heterogeneity in osteosarcoma patients: A review.Journal of bone oncology · 2023Review
- Construction and experimental validation of a signature for predicting prognosis and immune infiltration analysis of glioma based on disulfidptosis-related lncRNAs.Frontiers in immunology · 2023Article
- Single-cell sequencing technologies in bladder cancer research: Applications and challenges.Frontiers in genetics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Cancer is an intricate disease with inherent intra-tumor heterogeneity at the cellular level because of genetic changes and environmental differences. Cellular heterogeneity exists even within the same tumor type. Small deviations in a genome or transcriptome can lead to significant differences in function. Conventional bulk population sequencing, which produces admixed populations of cells, can only provide an average expression signal for one cell population, ignoring differences between individual cells. Important advances in sequencing have been made in recent years. Single cell sequencing starts in a single cell, thereby increasing our capability to characterize intratumor heterogeneity. This technology has been used to analyze genetic variation, specific metabolic activity, and evolutionary processes in tumors, which may help us understand tumor occurrence and development and improve our understanding of the tumor microenvironment. In addition, it provides a theoretical basis for the development of clinical treatments, especially for personalized medicine. In this article, we briefly introduce Single cell sequencing technology, summarize the application of Single cell sequencing to study the tumor microenvironment, as well as its therapeutic application in different clinical procedures.
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What Socratic 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 Socratic graph.