ArticleThe American journal of pathology2000
Isolation by size of epithelial tumor cells : a new method for the immunomorphological and molecular characterization of circulatingtumor cells.
Article in The American journal of pathology, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 466 papers, 2 of them syntheses that pooled it.
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.
Clinical Validation of the ISET Method for the Non Invasive Prenatal Diagnosis of Trisomy 21 by Genetic Analysis of Circulating Trophoblastic Cells
Feasibility of a New Technology for Isolating Circulating Tumour Cells in Selected Cancer Patients and Healthy Volunteers
Who cites it
466 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,053 citations in OpenAlex.
- Pooled it
- Diagnostic Clinical Trials in Breast Cancer Brain Metastases: Barriers and Innovations.Clinical breast cancer · 2019Pooled it
- Trial
- From spectroscopic analysis to clinical imaging: emerging applications and persistent challenges of raman spectroscopy in CTCs-based liquid biopsies.Annals of medicine · 2026Review
- An inertial-based spiral device for separating rare tumor cells from liquid biopsies.Bioengineering & translational medicine · 2026Article
- From Tumour to Bloodstream: Advancing PD-L1 Testing With Liquid Biopsies in Non-Small Cell Lung Cancer.Cytopathology : official journal of the British Society for Clinical Cytology · 2026Review
- Attention U-Net-Based Segmentation and Hybrid Classification for Detection of Circulating Tumor-Associated Cells.Cancers · 2026Article
- Band-stop microfluidics for high-purity, label-free enrichment of viable cancer cells from whole blood.Lab on a chip · 2026Article
- Clinical and translational roles of circulating tumor cells in non-small cell and small cell lung cancer: a narrative review.Journal of thoracic disease · 2026Review
- Fetal-Fetal and Fetal-Maternal Microchimerism: Insights from Mammalian Placental Biology.Journal of developmental biology · 2026Review
- Circulating Tumor Cells: Emerging Frontiers in Cancer Technology.Expert reviews in molecular medicine · 2026Review
- Circulating tumor cell detection in cancer patients using in-flow deep learning holography.Npj biosensing · 2026Article
- Automated Analysis of Liquid Biopsy Using Deep Learning: Detecting Circulating Tumor Cells and Cancer-Associated Fibroblasts.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Circulating tumor cells as biomarkers in melanoma: techniques, challenges, and clinical applications.Frontiers in cell and developmental biology · 2026Review
- Correlation between circulating tumor cell levels and tumor response in patients with advanced hepatocellular carcinoma undergoing immunotherapy and molecular targeted therapy.Frontiers in oncology · 2026Article
- Circulating Tumor Cells for the Monitoring of Lung Cancer Therapies.International journal of molecular sciences · 2025Review
- Evaluation and modification of tumor cell isolation techniques from malignant effusions for rapid drug sensitivity testing.Molecular oncology · 2025Article
- Emerging Techniques of Translational Research in Immuno-Oncology: A Focus on Non-Small Cell Lung Cancer.Cancers · 2025Review
- Deciphering Breast Tumor Heterogeneity Through Patient-Derived Organoids and Circulating Tumor Cells.Journal of personalized medicine · 2025Review
- Review
406 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have developed a new assay, ISET (isolation by size of epithelial tumor cells), which allows the counting and the immunomorphological and molecular characterization of circulating tumor cells in patients with carcinoma, using peripheral blood sample volumes as small as 1 ml. Using this assay, epithelial tumor cells can be isolated individually by filtration because of their larger size when compared to peripheral blood leukocytes. ISET parameters were defined using peripheral blood spiked with tumor cell lines (HepG2, Hep3B, MCF-7, HeLa, and LNCaP). ISET can detect a single, micropipetted tumor cell, added to 1 ml of blood. We also demonstrate that fluorescence in situ hybridization can be used to perform chromosomal analyses on tumor cells collected using ISET. Polymerase chain reaction-based genetic analyses can be applied to ISET-isolated cells, and, as an example, we demonstrate homozygous p53 deletion in single Hep3B cells after filtration and laser microdissection. Finally, we provide evidence for the in vivo feasibility of ISET in patients with hepatocellular carcinoma undergoing tumor resection. ISET, but not reverse transcriptase-polymerase chain reaction, allowed analysis of cell morphology, counting of tumor cells, and demonstration of tumor microemboli spread into peripheral blood during surgery. Overall, ISET constitutes a novel approach that should open new perpectives in molecular medicine.
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.