Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Patient-Centered Approach to Surgical Prevention of Ovarian Cancer: A Nonrandomized Clinical Trial.

JAMA network open·2026
Same author

Household Transmission of Enterovirus D68, Washington and Oregon, United States, 2022-2024.

Emerging infectious diseases·2026
Same author

International Trends in Concurrent Hysterectomy at Risk-Reducing Surgery in BRCA1/2 pathogenic variant carriers: A mixed-methods study.

American journal of obstetrics and gynecology·2026
Same author

HRDetect in Tubo-ovarian Carcinoma: Stratification and Therapeutic Implications.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Chromosome 5q deletion drives evolution of aneuploidy in myeloid neoplasms with complex karyotype.

Blood·2026
Same author

Homozygous Loss of Recombination Repair Genes and Poly ADP-Ribose Polymerase Inhibitor Benefit for Patients With Ovarian Cancer.

JCO precision oncology·2026

Related Experiment Video

Updated: Jun 21, 2026

Assessment of Ovarian Cancer Spheroid Attachment and Invasion of Mesothelial Cells in Real Time
14:25

Assessment of Ovarian Cancer Spheroid Attachment and Invasion of Mesothelial Cells in Real Time

Published on: May 20, 2014

17.8K

Dynamic Monitoring of Recurrent Ovarian Cancer Using Serial ctDNA: A Real-World Case Series.

Eric Rios-Doria1, Jonathan B Reichel2, Marc R Radke1

  • 1Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, USA.

Current Oncology (Toronto, Ont.)
|October 28, 2025
PubMed
Summary

Serial circulating tumor DNA (ctDNA) monitoring shows promise for detecting recurrent ovarian cancer (OC) earlier than current methods. While ctDNA offers complementary value to CA-125, further research is needed to address its limitations.

Keywords:
biomarkerscirculating tumor DNActDNAliquid biopsyminimal residual diseasenext-generation sequencingovarian cancerpersonalized oncologyrecurrence

More Related Videos

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
08:55

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Published on: November 2, 2014

12.7K
Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
06:53

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Published on: June 8, 2019

9.1K

Related Experiment Videos

Last Updated: Jun 21, 2026

Assessment of Ovarian Cancer Spheroid Attachment and Invasion of Mesothelial Cells in Real Time
14:25

Assessment of Ovarian Cancer Spheroid Attachment and Invasion of Mesothelial Cells in Real Time

Published on: May 20, 2014

17.8K
Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
08:55

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Published on: November 2, 2014

12.7K
Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
06:53

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Published on: June 8, 2019

9.1K

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Biomarker Discovery

Background:

  • Recurrent ovarian cancer (OC) detection relies on CA-125 and imaging, which have limitations for early identification.
  • Circulating tumor DNA (ctDNA) analysis presents a potential advancement for monitoring OC recurrence.

Purpose of the Study:

  • To evaluate the real-world clinical utility of serial ctDNA analysis in patients with recurrent OC.
  • To compare ctDNA performance against CA-125 levels and radiographic findings.

Main Methods:

  • Analysis of serial plasma samples (N=23) from six recurrent OC patients.
  • Utilized a tumor-informed next-generation sequencing assay targeting 68 cancer-related genes.
  • Correlated ctDNA variant allele frequencies (VAFs) with clinical data.

Main Results:

  • ctDNA levels generally mirrored clinical status, reflecting disease progression and treatment response.
  • Rising ctDNA detected recurrence four months prior to clinical indicators in one patient.
  • Observed discordances between ctDNA and clinical status highlight assay limitations and biological factors.

Conclusions:

  • Serial ctDNA analysis is a promising biomarker for complementing existing recurrent OC monitoring strategies.
  • ctDNA can potentially predict relapse and treatment response earlier than current methods.
  • Further prospective studies are essential to refine ctDNA's clinical utility and integration into personalized OC care.