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Survival Dynamics in Advanced Ovarian Cancer: R2 Resection Versus No-Surgery Paths Explored.
Pitsikakis, Konstantinos; DeJong, Diederick; Kitsos-Kalyvianakis, Konstantinos; Mamalis, Marios Evangelos; Quaranta, Michela; Shavee, Aishath; Wahab, Alina; Thangavelu, Amudha; Broadhead, Timothy; Nugent, David; Kalampokis, Evangelos; Laios, Alexandros.
Affiliation
  • Pitsikakis K; Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK.
  • DeJong D; Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK.
  • Kitsos-Kalyvianakis K; Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK.
  • Mamalis ME; Information Systems Lab, Department of Business Administration, University of Macedonia, Thessaloniki, Greece.
  • Quaranta M; Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK.
  • Shavee A; School of Medicine, University of Leeds, Leeds, UK.
  • Wahab A; School of Medicine, University of Leeds, Leeds, UK.
  • Thangavelu A; Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK.
  • Broadhead T; Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK.
  • Nugent D; Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK.
  • Kalampokis E; Information Systems Lab, Department of Business Administration, University of Macedonia, Thessaloniki, Greece.
  • Laios A; Department of Gynaecologic Oncology, ESGO Centre of Excellence for ovarian cancer surgery, St James's University Hospital, Leeds, UK.
Cancer Control ; 31: 10732748241285480, 2024.
Article in En | MEDLINE | ID: mdl-39283489
ABSTRACT

BACKGROUND:

Cytoreductive surgery is critical for optimal tumor clearance in advanced epithelial ovarian cancer (EOC). Despite best efforts, some patients may experience R2 (>1 cm) resection, while others may not undergo surgery at all. We aimed to compare outcomes between advanced EOC patients undergoing R2 resection and those who had no surgery.

METHODS:

Retrospective data from 51 patients with R2 resection were compared to 122 patients with no surgery between January 2015 and December 2019 at a UK tertiary referral centre. Progression-free survival (PFS) and overall survival (OS) were the study endpoints. Principal Component Analysis and Term Frequency - Inverse Document Frequency scores were utilized for data discrimination and prediction of R>2 cm from computed tomography pre-operative reports, respectively.

RESULTS:

No statistical significance was observed, except for age (73 vs 67 years in the no- surgery vs R2 group, P .001). Principal Components explained 34% of data variances. Reasons for no surgery included age, co-morbidities, patient preference, refractory disease, patient deterioration or disease progression, and absence of measurable intra- abdominal disease). The median PFS and OS were 12 and 14 months for no-surgery, vs 14 and 26 months for R2 (P .138 and P .001, respectively). Serous histology and performance status independently predicted PFS in both no-surgery and R2 cohorts. In the no-surgery cohort, serous histology independently predicted OS, while in the R2 cohorts, both serous histology and adjuvant chemotherapy were independent prognostic features for OS. The bi-grams "abdominopelvic ascites" and "solid omental" were amongst those best discriminating between R>2 cm and R1-2 cm.

CONCLUSIONS:

R2 resection and no-surgery cohorts displayed unfavourable prognosis with a notable degree of uniformity. When cytoreduction results in suboptimal results, the survival benefit may still be higher compared to those who underwent no surgery.
The study examined outcomes in advanced epithelial ovarian cancer (EOC) patients who underwent either R2 (suboptimal) surgical resection or received no surgery at all at a UK tertiary referral center. Sophisticated machine learning methodolgies were used to analyze data patterns and predict the extent of resection (>2 cm) from pre-operative CT reports. Reasons for not undergoing surgery included older age, presence of other medical conditions, patient preference, progressive disease, patient decline, or lack of detectable intra-abdominal disease. Factors like serous histology and performance status iinfluenced the risk of recurrence in both groups, while serous histology and adjuvant chemotherapy predicted the risk of death in the R2 group. Word sequences like "omental disease" and "reduced bulk" helped differentiate between R>2 cm and less extensive resections (R1-2 cm). In summary, both R2 resection and no-surgery groups had poor outcomes, but patients who underwent R2 resection generally had better survival compared to those who received no surgery, even when complete tumor removal was not achieved.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Cytoreduction Surgical Procedures / Carcinoma, Ovarian Epithelial Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Cancer Control Journal subject: NEOPLASIAS Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Cytoreduction Surgical Procedures / Carcinoma, Ovarian Epithelial Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Cancer Control Journal subject: NEOPLASIAS Year: 2024 Document type: Article Country of publication: United States