Outcomes of advanced epithelial ovarian cancer treated with neoadjuvant chemotherapy

Maheshwari, Amita; Kumar, Neha; Gupta, Sudeep; Rekhi, Bharat; Shylasree, TS; Dusane, Rohit; Bajpai, Jyoti; Ghosh, Jaya; Gulia, Seema; Deodhar, Kedar; Menon, Santosh; Popat, Palak; Sable, Nilesh; Thakur, Meenakshi; Kerkar, Rajendra

doi:10.4103/ijc.ijc_468_17

Cited by 16 publications

(16 citation statements)

References 8 publications

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“…These treatments and the estimated time elapsed among treatments might contribute some valuable perceptions to the survival of patients. Previous literature has also acknowledged the association of time between treatments with prognosis in patients with ovarian carcinoma [ 13 ]. Life quality attributes like performance status and comorbidities also have a significant impact on any person's survival.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques

Kaur

Doja

Ahmad

et al. 2021

Computational Intelligence and Neuroscience

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Ovarian cancer is the third most common gynecologic cancers worldwide. Advanced ovarian cancer patients bear a significant mortality rate. Survival estimation is essential for clinicians and patients to understand better and tolerate future outcomes. The present study intends to investigate different survival predictors available for cancer prognosis using data mining techniques. Dataset of 140 advanced ovarian cancer patients containing data from different data profiles (clinical, treatment, and overall life quality) has been collected and used to foresee cancer patients’ survival. Attributes from each data profile have been processed accordingly. Clinical data has been prepared corresponding to missing values and outliers. Treatment data including varying time periods were created using sequence mining techniques to identify the treatments given to the patients. And lastly, different comorbidities were combined into a single factor by computing Charlson Comorbidity Index for each patient. After appropriate preprocessing, the integrated dataset is classified using appropriate machine learning algorithms. The proposed integrated model approach gave the highest accuracy of 76.4% using ensemble technique with sequential pattern mining including time intervals of 2 months between treatments. Thus, the treatment sequences and, most importantly, life quality attributes significantly contribute to the survival prediction of cancer patients.

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Section: Introductionmentioning

confidence: 99%

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques

Kaur

Doja

Ahmad

et al. 2021

Computational Intelligence and Neuroscience

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“…The exact reason for this age difference is not known; however, this could reflect the overall demographic profile of population with a relatively younger population than the West. However, an Indian study showed that the median age of women with EOC was 52 years [13]. In SCORPION trial it was noted that the median age of PDS group was 54 years and 55 years in NACT-IDS group [14].…”

Section: Results In the Context Of Published Literaturementioning

confidence: 99%

“…A complete tumour resection (R0) could be obtained in 80% of IDS patients versus 43% of PDS patients similar to other studies. [13] [15] [20].…”

Section: Results In the Context Of Published Literaturementioning

confidence: 99%

“…Median progression free survival in PDS group was twelve months while that of the NACT followed by IDS group was seventeen months. In a cohort of Indian patients with advanced epithelial ovarian cancer treated with neoadjuvant chemotherapy, the median progression free survival was 15.15 months 95% confidence interval [CI] and the median overall survival (OS) was 34.73 months [13]. A multivariate analysis of their study revealed that optimal cytoreduction and number of NACT cycles were significantly associated with PFS and optimal cytoreduction.…”

Section: Results In the Context Of Published Literaturementioning

confidence: 99%

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Neoadjuvant Chemotherapy Followed by Surgery versus Primary Surgery in Advanced Epithelial Ovarian Cancer: A Review of Outcomes at National Institute of Cancer Research Hospital in Bangladesh

Kalam¹,

Pervin²,

Joy³

et al. 2021

JCT

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“…The optimal debulking rates for those receiving NACT and IDS in the intention to treat (ITT) cohorts of both the EORTC/NCIC 2 and CHORUS trials were 88% and 85.77%, respectively. A retrospective study from our institution reported optimal cytoreduction rates of 81.5% in patients treated by NACT and IDS.…”

Section: Discussionmentioning

confidence: 98%

Compliance to treatment guidelines and survival in women undergoing interval debulking surgery for advanced epithelial ovarian cancer

et al. 2019

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Background: One of the primary treatment strategies for advanced epithelial ovarian cancers includes neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS) and adjuvant chemotherapy. Compliance to treatment is important to possibly improve outcomes.Aim: To audit treatment compliance and its effect on overall survival (OS) and disease free survival (DFS) in women undergoing IDS.Methods and Results: Women diagnosed with advanced epithelial ovarian cancer undergoing IDS were included. Details of compliance to chemotherapy and surgery as per standard guidelines were assessed, and correlation with survival was studied.Reasons for protocol deviation at various levels were documented and analysed.A total of 182 patients were included. The total number of deviations was 134 with deviation at any level being 89 (48.9%) and at all levels 5%. Both patient-and treatment-related factors contributed towards deviation. Deviation or noncompliance towards treatment resulted in a significantly reduced 5-year OS (34.4% vs 58.2%; P = .001) compared with compliant patients, which retained its significance on multivariate analysis (P = .024) as well. Conclusion: Deviation from treatment guidelines resulted in a significantly lower 5year OS compared with those who remained treatment compliant. Both patient-and treatment-related factors contributed towards noncompliance and hence towards lower survival.

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Outcomes of advanced epithelial ovarian cancer treated with neoadjuvant chemotherapy

Abstract: High rates of optimal cytoreduction were achieved at interval cytoreductive surgery after NACT, with acceptable surgical morbidity, early start of adjuvant chemotherapy, and survival outcomes comparable to international standards.

Cited by 16 publications

References 8 publications

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques

Neoadjuvant Chemotherapy Followed by Surgery versus Primary Surgery in Advanced Epithelial Ovarian Cancer: A Review of Outcomes at National Institute of Cancer Research Hospital in Bangladesh

Compliance to treatment guidelines and survival in women undergoing interval debulking surgery for advanced epithelial ovarian cancer

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