Prognostic value of histological type in stage IV ovarian carcinoma: a retrospective analysis of 223 patients

Prognostic factors and the role of primary debulking in operable stage IVB ovarian cancer with supraclavicular lymph node metastasis: a retrospective study in Chinese patients

BACKGROUND

Recent studies showed heterogeneity in stage IVB patients. However, few studies focused on the prognosis of supraclavicular metastatic ovarian cancer. This study aimed to explore the prognostic factors and the role of primary debulking in IVB ovarian cancer patients with supraclavicular lymph node metastasis.

METHODS

We retrospectively analyzed patients newly diagnosed as primary epithelial ovarian cancer with supraclavicular lymph node metastasis from January 2015 to July 2020. Supraclavicular lymph node metastasis was defined as either the pathological diagnosis by supraclavicular lymph node biopsy, or the radiological diagnosis by positron emission tomography-computed tomography (PET-CT).

RESULTS

In 51 patients, 37 was diagnosed with metastatic supraclavicular lymph nodes by histology, 46 by PET-CT, and 32 by both methods. Forty-four (86.3%) with simultaneous metastatic paraaortic lymph nodes (PALNs) by imaging before surgery or neoadjuvant chemotherapy were defined as "continuous-metastasis type", while the other 7 (13.7%) defined as "skip-metastasis type". Nineteen patients were confirmed with metastatic PALNs by histology. Thirty-four patients were investigated for BRCA mutation, 17 had germline or somatic BRCA1/2 mutations (g/sBRCAm). With a median follow-up of 30.0 months (6.3-63.4 m), 16 patients (31.4%) died. The median PFS and OS of the cohort were 17.3 and 48.9 months. Survival analysis showed that "continuous-metastasis type" had longer OS and PFS than "skip-metastasis type" (OS: 50.0/26.6 months, PFS: 18.5/7.2months, p=0.005/0.002). BRCA mutation carriers also had longer OS and PFS than noncarriers (OS: 57.4 /38.5 m, p=0.031; PFS: 23.6/15.2m, p=0.005). Multivariate analysis revealed only metastatic PALNs was independent prognostic factor for OS (p=0.040). Among "continuous-metastasis type" patients, 22 (50.0%) achieved R0 abdominopelvic debulking, who had significantly longer OS (55.3/42.3 months, p =0.034) than those with residual abdominopelvic tumors.

CONCLUSIONS

In stage IVB ovarian cancer patients with supraclavicular lymph nodes metastasis, those defined as "continuous-metastasis type" with positive PALNs had better prognosis. For them, optimal abdominopelvic debulking had prognostic benefit, although metastatic supraclavicular lymph nodes were not resected. Higher BRCA mutation rate than the general population of ovarian cancer patients was observed in patients with IVB supraclavicular lymph node metastasis, leading to better survival as expected.

The impact of varying levels of residual disease following cytoreductive surgery on survival outcomes in patients with ovarian cancer: a meta-analysis

BACKGROUND

Residual disease following cytoreductive surgery in patients with ovarian cancer has been associated with poorer survival outcomes compared with no residual disease. We performed a meta-analysis to assess the impact of varying levels of residual disease status on survival outcomes in patients with ovarian cancer who have undergone primary cytoreductive surgery or interval cytoreductive surgery in the setting of new therapies for this disease.

METHODS

Medline, Embase, and Cochrane databases (January 2011 - July 2020) and grey literature, bibliographic and key conference proceedings, were searched for eligible studies. Fixed and random-effects meta-analyses compared progression and survival by residual disease level across studies. Heterogeneity between comparisons was explored via type of surgery, disease stage, and type of adjuvant chemotherapy.

RESULTS

Of 2832 database and 16 supplementary search articles screened, 50 studies were selected; most were observational studies. The meta-analysis showed that median progression-free survival and overall survival decreased progressively with increasing residual disease (residual disease categories of 0 cm, > 0-1 cm and > 1 cm). Compared with no residual disease, hazard ratios (HR) for disease progression increased with increasing residual disease category (1.75 [95% confidence interval: 1.42, 2.16] for residual disease > 0-1 cm and 2.14 [1.34, 3.39] for residual disease > 1 cm), and also for reduced survival (HR versus no residual disease, 1.75 [ 1.62, 1.90] for residual disease > 0-1 cm and 2.32 [1.97, 2.72] for residual disease > 1 cm). All comparisons were significant (p < 0.05). Subgroup analyses showed an association between residual disease and disease progression/reduced survival irrespective of type of surgery, disease stage, or type of adjuvant chemotherapy.

CONCLUSIONS

This meta-analysis provided an update on the impact of residual disease following primary or interval cytoreductive surgery, and demonstrated that residual disease was still highly predictive of progression-free survival and overall survival in adults with ovarian cancer despite changes in ovarian cancer therapy over the last decade. Higher numerical categories of residual disease were associated with reduced survival than lower categories.

Correlation between progression-free survival and overall survival in patients with ovarian cancer after cytoreductive surgery: a systematic literature review

OBJECTIVES

This analysis aimed to better define the relationship between progression-free survival and overall survival in adult patients with ovarian cancer (including fallopian tube or primary peritoneal cancer) following primary cytoreductive surgery or interval cytoreductive surgery.

METHODS

A systematic literature review was carried out across the Medline, Embase, and Cochrane Central databases on 7 July 2020 (date limits 1 January 2011 to 7 July 2020) to identify studies with the following eligibility criteria: clinical trials/observational studies including >200 patients with ovarian cancer aged ≥18 years, evaluating overall survival/progression-free survival following cytoreductive surgery by residual disease status in the United States, Europe, Japan, or China. Weighted linear regression models were used to assess any correlation between median progression-free survival and overall survival, and between logHR for progression-free survival and logHR for overall survival. Risk of bias was assessed for all included studies.

RESULTS

Of the 50 studies reported, 43 were observational studies (41 retrospective and two prospective cohort studies), and seven were reporting for randomized clinical trials-of which four were retrospective data analyses. For analyses of the relationship between overall survival and progression-free survival, 21 studies were eligible. The weighted linear regression model showed a strong positive association between the two survival endpoints. Goodness-of-fit analysis measured the adjusted R2 as 0.84 (p<0.001); a positive association was also observed between logHRs for overall survival and progression-free survival in the included studies.

CONCLUSIONS

Median progression-free survival was predictive of median overall survival. This correlation between progression-free survival and overall survival after primary treatment for ovarian cancer highlights the validity of progression-free survival as a primary endpoint. Observational studies contributed most data, with limited information on disease stage and histology.

Overall Survival and Related Factors of Advanced-stage Epithelial Ovarian Cancer Patients Underwent Debulking Surgery in Jakarta, Indonesia: A Single-center Experience

AIM: The worrisome prognosis of advanced-stage epithelial ovarian cancer (EOC) needs a new perspective from developing countries. Thus, we attempted to study the 5-year overall survival (OS) of advanced-stage EOC patients who underwent debulking surgery in an Indonesian tertiary hospital. METHODS: A retrospective study recruited forty-eight subjects between 2013 and 2015. We conducted multiple logistic regression analyses to predict risk factors leading to unwanted disease outcomes. The OS was evaluated through the Kaplan–Meier curve and Log-rank test. Cox proportional hazards regression examined prognostic factors of patients. RESULTS: Prominent characteristics of our patients were middle age (mean: 51.9 ± 8.9 years), obese, with normal menarche onset, multiparous, not using contraception, premenopausal, with serous EOC, and FIGO stage IIIC. The subjects mainly underwent primary debulking surgery (66.8%), with 47.9% of all individuals acquiring optimal results, 77.1% of patients treated had the residual disease (RD), and 52.1% got adjuvant chemotherapy. The risk factor for serous EOC was menopause (odds ratio [OR] = 4.82). The predictors of suboptimal surgery were serous EOC (OR = 8.25) and FIGO stage IV (OR = 11.13). The different OS and median survival were observed exclusively in RD, making it an independent prognostic factor (hazard ratio = 3.50). 5-year A five year OS and median survival for patients with advanced-stage EOC who underwent debulking surgery was 37.5% and 32 months, respectively. Optimal versus suboptimal debulking surgery yielded OS 43.5% versus 32% and median survival of 39 versus 29 months. Both optimal and suboptimal debulking surgery followed with chemotherapy demonstrated an OS 40% lower than those not administered (46.2% and 20%, respectively). The highest 5-year OS was in serous EOC (50%). Meanwhile, the most extended median survival was with mucinous EOC (45 months). CONCLUSION: Chemotherapy following optimal and suboptimal debulking surgery has the best OS among approaches researched in this study. RD is a significant prognostic factor among advanced-stage EOC. Suboptimal surgery outcomes can be predicted by stage and histological subtype.

CT texture analysis in histological classification of epithelial ovarian carcinoma

OBJECTIVES

The study aimed to compare the ability of morphological and texture features derived from contrast-enhanced CT in histological subtyping of epithelial ovarian carcinoma (EOC).

METHODS

Consecutive 205 patients with newly diagnosed EOC who underwent contrast-enhanced CT were included and dichotomised into high-grade serous carcinoma (HGSC) and non-HGSC. Clinical information including age and cancer antigen 125 (CA-125) was documented. The pre-treatment images were analysed using commercial software, TexRAD, by two independent radiologists. Eight qualitative CT morphological features were evaluated, and 36 CT texture features at 6 spatial scale factors (SSFs) were extracted per patient. Features' reduction was based on kappa score, intra-class correlation coefficient (ICC), univariate ROC analysis and Pearson's correlation test. Texture features with ICC ≥ 0.8 were compared by histological subtypes. Patients were randomly divided into training and testing sets by 8:2. Two random forest classifiers were determined and compared: model 1 incorporating selected morphological and clinical features and model 2 incorporating selected texture and clinical features.

RESULTS

HGSC showed specifically higher texture features than non-HGSC (p < 0.05). Both models performed highly in predicting histological subtypes of EOC (model 1: AUC 0.891 and model 2: AUC 0.937), and no statistical significance was found between the two models (p = 0.464).

CONCLUSION

CT texture analysis provides objective and quantitative metrics on tumour characteristics with HGSC demonstrating specifically high texture features. The model incorporating texture analysis could classify histology subtypes of EOC with high accuracy and performed as well as morphological features.

KEY POINTS

• A number of CT morphological and texture features showed good inter- and intra-observer agreements. • High-grade serous ovarian carcinoma showed specifically higher CT texture features than non-high-grade serous ovarian carcinoma. • CT texture analysis could differentiate histological subtypes of epithelial ovarian carcinoma with high accuracy.

Surgical Management of Gynecologic Cancers

This article addresses the role of surgery in the management of gynecologic cancers with liver metastases. The authors review the short-term and long-term outcomes of aggressive resection through retrospective and randomized studies. Although the data supporting aggressive resection of liver metastasis are largely retrospective and case based, the randomized control data to address neoadjuvant versus chemotherapy have been widely criticized. Residual disease remains an important predictor for survival in ovarian cancer. If a patient cannot achieve near optimal cytoreduction, radical cytoreductive procedures, such as hepatic resection, should be considered for palliation only.

The Prevalence and associated Factors for Liver Metastases, Development and Prognosis in newly diagnosed Epithelial Ovarian Cancer: A large Population-Based Study from the SEER Database

Background: Primary Epithelial Ovarian Cancer (EOC), a malignant gynecologic disease, is considered one of the leading causes of mortality in women. The development of Liver Metastases (LM) in women with primary ovarian cancer commonly results in a poorer prognosis. This retrospective population-based study aims to measure the prevalence, prognostic factors, and associated risk factors for epithelial ovarian cancer patients with liver metastases (EOCLM). Materials and Methods: The current study cohort of patients based on the Surveillance, Epidemiology, and End Results (SEER) database identified with primary ovarian cancer between the years 2010 and 2016. A chi-square test was employed to compare Metastatic differences among demographic and clinical factors. Univariable and multivariable logistic regression analysis models were used to predict related prognostic factors for LM development. 7-year Kaplan-Meier curves were applied to compare the survival patterns of patients with and without LM. The Multivariable Cox regression model was used to estimate potential risk factors associated with LM related deaths. Results: 33895 eligible primary EOC patients were identified. Among them 2635 (7.77%) patients were initially diagnosed with de novo LM, and 31260 (92.23%) without metastases disease to any site. Non-serous histology type; Malignant Brenner Carcinoma, NOS (OR 1.94; CI: 1.39-2.71; P<0.001), T3/T1 stage (OR 5.65; CI: 3.87-8.24; P<0.001), N1/N0 stage (OR 1.67; CI: 1.43-4.95; P<0.001), grade; G3/G1 (OR 2.16; CI: 1.29-3.59, P<0.001), and cancer antigen-125; Elevated/Normal (OR 1.79; CI: 1.19-2.69, P<0.001) were significantly associated with LM occurrence. The median survival of EOC patients with LM was 12.0 (95% CI: 11.0-14.0; P<0.001) months. Multivariable cox regression showed being unmarried (HR 1.16; CI: 1.04-1.30; P=0.001), non-serous histology types, Mucinous (HR 2.38; CI: 1.82-3.12; P<0.001), Clear cell (HR 1.83; CI: 1.32-2.55; P<0.001), Malignant Brenner Carcinoma, NOS (HR 1.44; CI:1.23-1.66; P<0.001), Carcinosarcoma NOS, (HR 1.44; CI: 1.11-1.88; P<0.001) and radiotherapy (HR 1.52; CI: 1.12-2.06; P<0.001), were positively related to death. Chemotherapy (HR 0.30; CI: 1.12-2.06; P<0.001) and surgery (HR 0.34; CI: 0.29-0.39; P<0.001) were related with reduced rate of death. Conclusion: The retrospective cohort study showed that women with primary EOC had some high-risk factors associated with LM. LM can intensely decrease the survival of EOC patients. The findings of our research provided estimates for LM occurrence prediction and potential prognostic factors of EOC with de novo LM development. These findings can be useful for follow-up strategies, guidelines for screening, and treatment of EOCLM.

Metastatic patterns do not provide additional prognostic information for patients with FIGO stage IV high-grade serous ovarian cancer

BACKGROUND

The aim of our study was to investigate whether metastatic patterns were associated with the prognosis of patients with FIGO stage IV high-grade serous ovarian cancer (HGSC).

METHODS

We retrospectively investigated 83 consecutive patients with FIGO stage IV HGSC who underwent primary surgery between April 2005 and June 2013 at our institution. Metastatic patterns were defined as pleural effusion (stage IVA), parenchymal metastases (stage IVB), and extra-abdominal lymph node metastases (stage IVB). Correlations of clinical characteristics and prognosis with metastatic patterns were analyzed.

RESULTS

Forty-two (50.6%) patients were stage IVA with pleural effusion. Among the remaining stage IVB patients, 19 (22.9%) patients had parenchymal metastases and 22 (26.5%) had extra-abdominal lymph node metastases. FIGO IVA and IVB subclassification did not have a prognostic impact on progression-free survival (PFS) (P = .361). In addition, no differences in PFS were observed among patients presenting the three metastatic patterns (P = .506). The 5-year overall survival (OS) rates of patients with stage IVA and IVB diseases were 35.2% and 34.3%, respectively, (P = .856). In addition, metastatic patterns did not provide additional prognostic information for OS (P = .292).

CONCLUSION

Neither the subclassification into FIGO IVA and IVB stages nor metastatic patterns of FIGO stage IV provided additional prognostic information.

Liver Resection as Part of Cytoreductive Surgery for Ovarian Cancer

Objective: The aim of this study was to describe and evaluate the safety of hepatic resections for ovarian cancer liver metastases and the benefit in terms of survival as part of cytoreductive surgery among peritoneal seeding and parenchymal metastases.

Materials and Methods: Data were reviewed retrospectively from patients who underwent liver resection as part of cytoreductive surgery for ovarian cancer at the Instituto Nacional de Enfermedades Neoplásicas, in Lima, Perú, from January 2009 to December 2017.

Results: From January 2009 to December 2017, 1211 patients underwent surgical cytoreduction for ovarian cancer; 39 of these patients had liver resection as part of their surgical treatment, with 9, 17, and 13 patients receiving primary, secondary, and tertiary, resections, respectively. The mean age of the patients was 46, the majority (87%) had stage III/IV ovarian cancer. In addition, 21 patients had parenchymal metastasis resections, and 95% of the patients had Dindo–Clavien I and II grade complications. The 30-day mortality rate was 0.

Conclusions: Liver resection for advanced ovarian cancer is a safe procedure for primary up to quaternary cytoreduction and may confer survival benefits to patients.

Prediction of survival outcomes in patients with epithelial ovarian cancer using machine learning methods

OBJECTIVES

The aim of this study was to develop a new prognostic classification for epithelial ovarian cancer (EOC) patients using gradient boosting (GB) and to compare the accuracy of the prognostic model with the conventional statistical method.

METHODS

Information of EOC patients from Samsung Medical Center (training cohort, n=1,128) was analyzed to optimize the prognostic model using GB. The performance of the final model was externally validated with patient information from Asan Medical Center (validation cohort, n=229). The area under the curve (AUC) by the GB model was compared to that of the conventional Cox proportional hazard regression analysis (CoxPHR) model.

RESULTS

In the training cohort, the AUC of the GB model for predicting second year overall survival (OS), with the highest target value, was 0.830 (95% confidence interval [CI]=0.802-0.853). In the validation cohort, the GB model also showed high AUC of 0.843 (95% CI=0.833-0.853). In comparison, the conventional CoxPHR method showed lower AUC (0.668 (95% CI=0.617-0.719) for the training cohort and 0.597 (95% CI=0.474-0.719) for the validation cohort) compared to GB. New classification according to survival probability scores of the GB model identified four distinct prognostic subgroups that showed more discriminately classified prediction than the International Federation of Gynecology and Obstetrics staging system.

CONCLUSION

Our novel GB-guided classification accurately identified the prognostic subgroups of patients with EOC and showed higher accuracy than the conventional method. This approach would be useful for accurate estimation of individual outcomes of EOC patients.

The Effect of Histological Subtypes on Outcomes of Stage IV Epithelial Ovarian Cancer

Introduction: To examined survival outcome by histological subtypes in de novo stage IV epithelial ovarian cancer (EOC).

Methods: Between 2004 and 2015, patients with stage IV EOC were included using the Surveillance, Epidemiology, and End Results program. The effects of histological subtypes on overall survival (OS) were assessed using Kaplan–Meier and multivariable Cox regression analyses.

Results: We identified 5,953 patients including 5,351 (89.9%), 249 (4.2%), 145 (2.4%), and 208 (3.4%) patients with high-grade serous, endometrioid, mucinous, and clear cell subtypes, respectively. The 5-year OS rates were 28.1, 38.6, 14.2, and 18.8% in patients with high-grade serous, endometrioid, mucinous, and 18.8% clear cell subtypes, respectively, (p < 0.001). Multivariate analyses indicated that histological subtype was an independent predictor of OS. Using the high-grade serous subtype as a reference, OS was comparable for the endometrioid subtype (hazard ratio (HR) 0.915, 95% confidence interval) (CI 0.772–1.085, p = 0.305), but significantly lower for mucinous (HR 3.292, 95% CI 2.701–4.011, p < 0.001) and clear cell subtypes (HR 1.820, 95% CI 1.546–2.141, p < 0.001). Patients with no residual tumor had better OS in the high-grade serous and endometrioid subtypes compared to patients with residual tumors. However, the residual tumor size was not a prognostic factor for OS in mucinous and clear cell carcinoma.

Conclusions: Our study suggest a markedly mortality rate in patients with stage IV mucinous and clear cell carcinoma, but better survival in patients with high-grade serous and endometrioid subtypes. Aggressive radical surgery to leave no residual disease would improve survival for high-grade serous and endometrioid carcinoma. More studies are needed to assess the value of aggressive radical surgery in patients with mucinous and clear cell subtypes.

A Metastatic Gastric Tumor from Ovarian Cancer

Gastric metastasis from ovarian cancer has rarely been reported. We herein report the case of a 64-year-old woman with gastric metastasis from ovarian cancer that was diagnosed as surgical stage IA. Diagnostic and staging laparotomy showed mucinous carcinoma of the right ovary. At one month after surgery, bone metastasis was detected via scintigraphy. On esophagogastroduodenoscopy, a 10-mm elevated lesion with ulceration on the top was seen in the stomach. The immunohistochemical analysis of biopsy specimens showed that these metastases arose from ovarian cancer. We recommend that physicians remain aware of the possibility of gastric metastasis in patients with ovarian cancer.

Dynamic Prediction of Outcome for Patients With Ovarian Cancer: Application of a Joint Model for Longitudinal Cancer Antigen 125 Values

Objective

In clinical practice, gynecologic oncologists are interested in predicting the prognosis of patients through information from different sources. Recently, the overall survival (OS) of ovarian cancer patients has been widely and intensively researched, and a large number of risk factors have been determined, including the biomarker of cancer antigen 125 (CA-125). For newly diagnosed patients, it is critical to construct effective prognostic models to predict prognosis dynamically by combining their CA-125 values with adjusted clinical factors.

Methods/Materials

A total of 227 ovarian cancer participants entered this study. A 4-step method was used to construct a joint model to examine the association between longitudinal CA-125 measurements and OS time, to explore time-independent predictive factors influencing OS, and to obtain an accurate and credible dynamic prediction of OS for specific subjects.

Results

We found that CA-125 values were greatly affected by observation time, menarche, Federation International of Gynecology and Obstetrics stage, and ascites at baseline. Similarly, CA-125 values, menopause, Federation International of Gynecology and Obstetrics stage, and surgery state at baseline were selected from the best Cox proportion hazard model and showed a strong correlation with OS. In addition, the analyses presented by the joint model depict that, as time goes by, increasing CA-125 was deemed to be a significant predictor of death.

Conclusions

Together, our results show that a joint model could be highly efficient in clinical consultation and diagnosis for patients newly diagnosed as having ovarian cancer. Longitudinal CA-125 values, which are measured over time, can be used to credibly predict OS after taking all adjusted covariates into account.

Preoperative multiplication of neutrophil and monocyte counts as a prognostic factor in epithelial ovarian cancer

BACKGROUND

Epithelial ovarian cancer (EOC) is leading cause of death in gynecologic cancer, and finding prognostic factors is important for establishing treatment plans.

OBJECTIVE

The aim of this study was to investigate the prognostic value of the multiplication of neutrophil and monocyte counts (MNM) in epithelial ovarian cancer (EOC).

METHODS

Data were retrospectively collected from Samsung Medical Center for EOC patients treated from January 2002 to December 2012. MNM was determined by multiplying neutrophil and monocyte counts and dividing by 10,000. Sensitivity and specificity of markers were assessed using receiver operating characteristic curves.

RESULTS

We included 674 patients with EOC. For predicting overall survival (OS), the area under the curve for MNM was 0.607 (95% CI, 0.554-0.661) with sensitivity 55.2% and specificity 63.2% (cut-off value 197.40). The ability of MNM to determine OS was similar to that of the previously validated NLR and PLR. When the cohort was divided by cut-off values, poorer survival outcomes were observed in the group with higher MNM. Higher MNM was associated with advanced stage and presence of residual disease after primary treatment.

CONCLUSIONS

Elevated pretreatment MNM is an independent predictor of poor survival and can be a useful biomarker in patients with EOC.

FIGO stage IV epithelial ovarian, fallopian tube and peritoneal cancer revisited

Epithelial ovarian, fallopian tube and peritoneal cancer (EOC) is the seventh most common cancer diagnosis among women worldwide and shows the highest mortality rate of all gynecologic tumors. Different histological and anatomic spread patterns as well as multiple gene-expression based studies have demonstrated that EOC is indeed a heterogeneous disease. The prognostic factors that best predict the survival in this disease include: age, performance status and patient's comorbidities at the time of diagnosis; tumor biology, histological type, amount of residual tumor after surgery and finally tumor stage as surrogate for pre-operative tumor burden and growth pattern. In the majority of patients, the disease is diagnosed in advanced stage, disseminated intra- and/or extra-abdominally. It is unclear whether this is a consequence of distinct tumor biology, absence of anatomic barriers between ovary and the abdominal cavity, delay of diagnosis and/or the lack of sufficient early detection methods. FIGO stage IV disease, defined as tumor spread outside the abdominal cavity (including malignant pleural effusion) and/or visceral metastases, will be present in 12-33% of the patients at initial diagnosis. Overall, median survival for patients with stage IV disease ranges from 15 to 29months, with an estimated 5-year survival of approximately 20%. Unfortunately, over the past decades the overall survival gain compared to stage III remains disappointing. The current review aims to summarize the current data published in the international literature concerning FIGO stage IV EOC and discusses the published evidence for the clinical management of these patients.

The Lymphocyte-Monocyte Ratio Predicts Patient Survival and Aggressiveness of Ovarian Cancer

OBJECTIVE

To measure the prognostic value of the lymphocyte-monocyte ratio (LMR) in patients with epithelial ovarian cancer (EOC).

METHODS

We retrospectively examined the LMR as a prognosticator in a cohort of 234 patients with EOC who underwent surgical resection. Patients were categorized into two different groups based on the LMR (LMR-low and LMR-high) using cut-off values determined by receiver operating characteristic (ROC) curve analysis. The objective of the study was to assess the effect of the LMR on progression-free survival (PFS) and overall survival (OS), and to validate the LMR as an independent predictor of survival.

RESULTS

Using the data collected from the whole cohort, the optimized LMR cut-off value selected on the ROC curve was 2.07 for both PFS and OS. The LMR-low and LMR-high groups included 48 (20.5%) and 186 patients (79.5%), respectively. The 5-year PFS rates in the LMR-low and LMR-high groups were 40.0 and 62.5% (P < 0.0001), respectively, and the 5-year OS rates in these two groups were 42.2 and 67.2% (P < 0.0001), respectively. On multivariate analysis, we identified age, International Federation of Gynecology and Obstetrics (FIGO) stage, and cancer antigen 125 levels to be the strongest valuable prognostic factors affecting PFS (P = 0.0421, P = 0.0012, and P = 0.0313, respectively) and age, FIGO stage, and the LMR as the most valuable prognostic factors predicting OS (P = 0.0064, P = 0.0029, and P = 0.0293, respectively). Conclusion : The LMR is an independent prognostic factor affecting the survival of patients with EOC.