Literature DB >> 10071968

Current initial therapy of stage III and IV ovarian cancer: challenges for managed care.

J C Schink1.   

Abstract

Patients with advanced ovarian cancer (International Federation of Gynecology and Obstetrics stage III or stage IV) have improved their long-term prognosis, but the majority will still die of their disease. The current standard therapy, which involves aggressive cytoreductive surgery (removal of all visible tumor) followed by platinum/paclitaxel chemotherapy, has increased 5-year survival rates considerably over the last three decades. The choice of treatment for patients with stage III or IV disease in the managed care setting must consider survival rates, patient quality of life, and cost-effectiveness. Two chemotherapy combinations, cisplatin/paclitaxel and carboplatin/paclitaxel, appear comparable in efficacy in advanced disease, but are currently being investigated in clinical trials to compare side effects, quality-of-life parameters, and cost-effectiveness. The results of these trials may determine which chemotherapy combination becomes the standard of care for first-line treatment. Managed care organizations and patients can also benefit from a multidisciplinary approach to cancer care that includes additional support, such as risk assessment programs, the use of specialists (gynecologic oncologists), and psychosocial counseling. As the search for more effective agents and other therapeutic modalities continues, the focus of future research may be to find specific biomarkers of ovarian cancer, which will help detect disease at its earliest stages.

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Year:  1999        PMID: 10071968

Source DB:  PubMed          Journal:  Semin Oncol        ISSN: 0093-7754            Impact factor:   4.929


  9 in total

Review 1.  Recent advancements in fabrication of nanomaterial based biosensors for diagnosis of ovarian cancer: a comprehensive review.

Authors:  Rinky Sha; Sushmee Badhulika
Journal:  Mikrochim Acta       Date:  2020-02-19       Impact factor: 5.833

2.  HE4: a new potential early biomarker for the recurrence of ovarian cancer.

Authors:  Emanuela Anastasi; Giulia Giovanna Marchei; Valentina Viggiani; Giuseppina Gennarini; Luigi Frati; Maria Gabriella Reale
Journal:  Tumour Biol       Date:  2010-01-23

3.  Tumor autoantibodies as biomarkers for predicting ovarian cancer recurrence.

Authors:  Madhumita Chatterjee; Greg Dyson; Nancy K Levin; Jay P Shah; Robert Morris; Adnan Munkarah; Michael A Tainsky
Journal:  Cancer Biomark       Date:  2012       Impact factor: 4.388

4.  Clinical significance and prognostic value of Forkhead box A1 expression in human epithelial ovarian cancer.

Authors:  Kai Wang; Chenan Guan; Chenyan Fang; Xiaoxiao Jin; Junhui Yu; Yuquan Zhang; Lingzhi Zheng
Journal:  Oncol Lett       Date:  2018-01-29       Impact factor: 2.967

5.  Generation and characterization of an ascitogenic mesothelin-expressing tumor model.

Authors:  Wen-Fang Cheng; Chien-Fu Hung; Chee-Yin Chai; Chi-An Chen; Chien-Nan Lee; Yi-Ning Su; Wen-Yih Isaac Tseng; Chang-Yao Hsieh; Ie-Ming Shih; Tian-Li Wang; T-C Wu
Journal:  Cancer       Date:  2007-07-15       Impact factor: 6.860

6.  Diagnostic performance of CA 125, HE4, and risk of Ovarian Malignancy Algorithm for ovarian cancer.

Authors:  Boyeon Kim; Yongjung Park; Banseok Kim; Hyo Jun Ahn; Kyung-A Lee; Jae Eun Chung; Sang Won Han
Journal:  J Clin Lab Anal       Date:  2018-07-15       Impact factor: 2.352

7.  Combined panel of serum human tissue kallikreins and CA-125 for the detection of epithelial ovarian cancer.

Authors:  Stephen Chee Liang Koh; Chan Yiong Huak; Delfi Lutan; Johny Marpuang; Suwiyoga Ketut; Nyoma Gede Budiana; Agustria Zainu Saleh; Mohamad Farid Aziz; Hariyono Winarto; Heru Pradjatmo; Nguyen Khac Han Hoan; Pham Viet Thanh; Mahesh Choolani
Journal:  J Gynecol Oncol       Date:  2012-07-02       Impact factor: 4.401

8.  HE4 in the differential diagnosis of a pelvic mass: a case report.

Authors:  Emanuela Anastasi; Teresa Granato; Anna Coppa; Lucia Manganaro; Giuseppe Giannini; Sara Comploj; Luigi Frati; Cecilia Midulla
Journal:  Int J Mol Sci       Date:  2011-01-18       Impact factor: 5.923

9.  KLK6 and KLK13 predict tumor recurrence in epithelial ovarian carcinoma.

Authors:  N M A White; M Mathews; G M Yousef; A Prizada; C Popadiuk; J J E Doré
Journal:  Br J Cancer       Date:  2009-10-06       Impact factor: 7.640

  9 in total

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