FIGO Classification 2018: Validation Study in Patients With Locally Advanced Cervix Cancer Treated With
Atul Raut1, Supriya Chopra2, Prachi Mittal1
1Department of Radiation Oncology, Tata Memorial Hospital, Tata Memorial Centre, Parel, Homi Bhabha National Institute, Mumbai, India.
Summary
The 2018 FIGO staging for cervical cancer shows varied outcomes in node-positive patients, influenced by tumor and lymph node size. A modified TNM staging system is proposed for better outcome classification.
Area of Science:
- Gynecologic Oncology
- Radiation Oncology
- Medical Imaging
Background:
- The International Federation of Gynecology and Obstetrics (FIGO) introduced a new staging system for cervical cancer in 2018.
- Accurate staging is crucial for treatment planning and outcome prediction in locally advanced cervical cancer.
Purpose of the Study:
- To reclassify patients with locally advanced cervical cancer using the FIGO 2018 staging system.
- To compare survival outcomes between the FIGO 2009 and FIGO 2018 staging systems.
- To evaluate the prognostic value of clinical stage and other factors in cervical cancer.
Main Methods:
- Retrospective analysis of 632 patients with locally advanced cervical cancer (stage IB2-IVA).
- Patients were staged using FIGO 2009 and reclassified using FIGO 2018 criteria.
- Survival outcomes, including disease-free survival (DFS), were analyzed based on staging and prognostic factors like lymph node status and tumor volume.
Main Results:
- The FIGO 2018 staging demonstrated different survival rates compared to FIGO 2009.
- Patients with pelvic adenopathy or positive para-aortic nodes had significantly inferior outcomes.
- Primary tumor volume >30 cm³ and ≥3 para-aortic nodes were associated with worse 3-year DFS.
Conclusions:
- The FIGO 2018 staging modification shows heterogeneous outcomes, particularly in node-positive patients, influenced by tumor and nodal volume.
- A revised TNM staging system is proposed to improve the classification of outcomes in cervical cancer.
- Clinical factors such as lymph node status and tumor volume are critical prognostic indicators.
Related Concept Videos
Cancer Survival Analysis
568
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
568
Treatment Resistant Cancers
3.6K
Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.6K


