scholarly journals Long-term multidisciplinary integrative therapy management resulted in favorable outcomes for ovarian cancer during pregnancy: a case report and literature review

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Tianmin Xu ◽  
Liang Wang ◽  
Yan Jia ◽  
Zanhui Jia ◽  
Zhuo Li ◽  
...  

Abstract Background Ovarian cancer during pregnancy is relatively rare and treatment strategies are inexperienced in surgery and chemotherapy. Multidisciplinary management of advanced epithelial ovarian cancer in pregnant patients with strong desire of fertility including sufficient mental and medical understanding, perioperative consideration, intraoperative decision, chemotherapy sensitivity and follow-up after treatment can gain successful outcomes for both maternal disease and fetus’s development. Case presentation A 34-year-old primigravidae was diagnosed with advanced epithelial ovarian tumor and then first cytoreductive surgery to resect macroscopical lesions and protect the uterus for fetus was performed following with four chemotherapy courses (docetaxel and carboplatin) before delivery and four other chemotherapy courses after delivery. Chemotherapy drugs were decided by sensitivity test and the patient’s anaphylaxis. Second surgery involved cesarean section with a healthy offspring and secondary cytoreductive surgery. Operative strategies were considered to gain a balance of disease and risk for fetus. Psychosocial support was provided during the course of diagnosis and treatment for a healthy coping situation. This patient relapsed 19 months after the last chemotherapy course and was treated by additional adjuvant therapy to a clinical remission. The 33-month baby boy has no evidence with disease until now. The follow-up of both mother and baby is still continuing. Conclusions Ovarian cancer during pregnancy has low incidence which must increase in future as women delay reproduction age. Ovarian cancer cytoreductive surgery and chemotherapy have limitation to handle conditions under a desire of fetus protection. Multidisciplinary treatment model is a therapeutic solution and a challenge for gynecological surgeons, medical oncologists, pathologists, obstetricians, neonatologists, pharmacists, anesthetist, and psychologists.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 5558-5558
Author(s):  
Ioana Braicu ◽  
Wanja Nikolai Kassuhn ◽  
Hagen Kulbe ◽  
Pauline Wimberger ◽  
Cagatay Taskiran ◽  
...  

5558 Background: Complete resection at secondary cytoreductive surgery is associated with prolonged progression free and overall survival for patients with relapsed ovarian cancer. Secondary cytoreductive surgery has no impact on survival rates, if macroscopically tumor clearance cannot be achieved. Therefore, in order to avoid unnecessary perioperative morbidity and mortality, selection of patients who will undergo secondary tumor debulking is crucial. This study aims to improve upon the contemporary Arbeitsgemeinschaft Gynäkologische Onkologie (AGO) score by including additional clinical variables like circulating HE4 and CA125 levels to predict surgical outcome at secondary cytoreduction. Methods: A total of 90 patients underwent secondary cytoreductive surgery and were retrospectively assigned a positive AGO score. Of those patients, 62 (68.9%) achieved optimal surgical outcome at secondary debulking with 28 (31.1%) patients retaining residual tumor mass ( > 0mm). Utilizing clinical variables including circulating HE4 and CA125 levels, we implemented a machine learning workflow to predict suboptimal surgical outcome in patients despite a positive AGO score. Results: We elucidated significantly lower levels of circulating HE4 (p = 0.0038) in patients with optimal surgical outcome compared to patients that retain macroscopic residual tumor at secondary cytoreductive surgery. Moreover, machine learning algorithms trained on clinical variables (e.g. serum HE4 level, serum CA125 level, age, Risk of Ovarian Malignancy Algorithmus (ROMA) score and occurrence of peritoneal carcinomatosis) achieved a mean area under the curve (AUC) of 78.4% based on 100 consecutive executions with randomized training and test sets. Conclusions: The application of machine learning allows to further improve the prediction of patients with high likelihood of achieving optimal surgical outcome at secondary cytoreduction. In turn, it might identify patients that would benefit from amplified treatment efforts. However, machine learning relies on large amounts of data to account for biological and clinical variation and produce predictions of sufficient/adequate quality. Given this limitation, we would validate this data within the prospective multicentric cohort of patients collected within NOGGO/ENGOT HELP_ER Trial.


2021 ◽  
Author(s):  
Min-Hyun Baek ◽  
Eun Young Park ◽  
Hyeong In Ha ◽  
Sang-Yoon Park ◽  
Myong Cheol Lim ◽  
...  

2021 ◽  
Author(s):  
Mukur Dipi Ray ◽  
Suryanarayana S.V. Deo ◽  
Lalit Kumar ◽  
Manish Kumar Gaur

In cases of ovarian carcinoma, primary cytoreductive surgery (CRS) is the standard treatment up to stage IIIB, but patient selection for neoadjuvant chemotherapy (NACT) in selected cases is controversial. A total of 200 patients with advanced ovarian cancer were analyzed retrospectively, according to specific selection criteria. Primary CRS was performed in 95 patients (47.5%) and interval CRS after 3–6 cycles of NACT was performed in 105 patients (52.5%). After median follow-up of 35 months, 5-year overall survival was 53.7% in the upfront CRS group and 42.2% in the NACT group. Primary CRS is the standard in advanced stages of ovarian carcinoma, but in certain subset of patients, NACT is preferred. Identifying that group is challenging but feasible. Proper selection of patients is key to successful outcomes.


2019 ◽  
Vol 221 (6) ◽  
pp. 625.e1-625.e14 ◽  
Author(s):  
Allison Gockley ◽  
Alexander Melamed ◽  
Angel Cronin ◽  
Michael A. Bookman ◽  
Robert A. Burger ◽  
...  

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