Objective: Ovarian cancer accounts for 50% of deaths from gynecologic malignancies. We sought to determine the cost of common methods of surveillance of women with ovarian cancer in first clinical remission. The current standard for post treatment surveillance is the National Comprehensive Cancer Network (NCCN) guidelines.
Methods: We retrospectively determined how recurrence was initially detected at our institution and a cost model was created and applied to the United States population to calculate surveillance costs using the Surveillance Epidemiology & End Results (SEER) database.
Results: 57% (n=60) of first recurrences were identified by increasing CA 125 level. Routine office visit identified 27% (n=29) of recurrences, and 15% (n=16) were diagnosed initially with CT scan. In 5% (5/105), CT abnormality was the only finding. 95% (100/105) of patients had either elevated CA 125 or office visit findings at time of recurrence. Of the 22,000 women diagnosed with ovarian cancer yearly, 60% (n=13,266) will have advanced disease and are likely to recur. The surveillance cost for this population for 2 years using our model is $32,500,000 using NCCN guidelines and $58,000,000 if one CT scan is obtained.
Conclusions: Our data suggests that following NCCN guidelines will detect 95% of recurrences. An additional $26 million will be needed to identify the 5% of women with recurrence seen on CT only. Post treatment surveillance of ovarian cancer patients contributes significantly to health care costs. Use of CT scan to follow these patients largely increases cost with only a small increase in recurrence detection.
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http://dx.doi.org/10.1016/j.ygyno.2013.09.017 | DOI Listing |
Discov Oncol
December 2024
School of Clinical Medicine, Dali University, Dali, 671000, Yunnan, People's Republic of China.
Objective: Searching for potential biomarkers and therapeutic targets for early diagnosis of gynecological tumors to improve patient survival.
Methods: Microarray datasets of cervical cancer (CC) and ovarian cancer (OC) were downloaded from the Gene Expression Omnibus (GEO) database, then, differential gene expression between cancerous and normal tissues in the datasets was analyzed. Weighted gene co-expression network analysis (WGCNA) was performed to screen for co-expression modules associated with CC and OC.
Biometals
December 2024
Department of Chemistry, Baba Mastnath University, Asthal Bohar, Rohtak, 124021, India.
The Schiff base metal complexes containing the transition metal ions Co(II), Ni(II) and Cu(II) were synthesized using their nitrate and acetate salts. An octahedral environment encircling metal complexes has been demonstrated by the findings of multiple spectroscopic approaches that were employed to demonstrate the structure of the metal complexes. The Coats-Redfern method of thermal analysis was employed to carry out the kinetic and thermodynamic calculations.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
December 2024
University of Minnesota Twin Cities College of Science and Engineering, Chemical Engineering and Materials Science, 421 Washington Ave SE, 55455, Minneapolis, UNITED STATES OF AMERICA.
We report the development of a small molecule-based barcoding platform for pooled screening of nanoparticle delivery. Using aryl halide-based tags (halocodes), we achieve high-sensitivity detection via gas chromatography coupled with mass spectrometry or electron capture. This enables barcoding and tracking of nanoparticles with minimal halocode concentrations and without altering their physicochemical properties.
View Article and Find Full Text PDFPleura Peritoneum
December 2024
Athens Colorectal Laboratory, Athens, Greece.
ACS Omega
December 2024
Cancer Biology & Inflammatory Disorder Division, CSIR-Indian Institute of Chemical Biology, Kolkata, West Bengal 700032, India.
Cancer stem cells (CSCs) are responsible for chemoresistance and tumor relapse in many solid malignancies, including lung and ovarian cancer. Ellagic acid (EA), a natural polyphenol, exhibits anticancer effects on various human malignancies. However, its impact and mechanism of action on cancer stem-like cells (CSLCs) are only partially understood.
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