Monitoring ovarian cancer patients during chemotherapy and follow-up with the serum tumor marker CA125. 2018

Suher Othman Abu Hassaan
suherothman@hotmail.com.

Cancer antigen 125 (CA125) is frequently used in the routine monitoring of patients with epithelial ovarian cancer (EOC). The potential benefit is based on the assumption that changes in serial concentrations may provide early and reliable information on tumor growth expediting an early and potentially effective treatment. However, it has remained a challenge to interpret increments in concentrations that correlate with increasing tumor burden in the individual patient. It has been hypothesized that CA125 assessment criteria taking the random variation (analytical and biological) into account may have better accuracy and lead-time potential than criteria based only on an arbitrary percentage of increase.
 The aims of the current PhD project were to i) identify different types of assessment criteria intended to interpret CA125 increments, ii) compare their ability to signal tumor growth, and iii) estimate the time interval between marker progression and clinical progression (lead-time). 
Study 1 was a systematic review of the literature identifying 21 relevant original articles reporting on 37 different assessment criteria to interpret serial CA125 concentrations. Study 2 was a preclinical phase I trial investigating the monitoring potential of seven selected criteria in a computer-based simulation model under standardized conditions. Study 3 was a clinical phase II trial comparing the performances of the seven criteria among 189 patients with EOC stage IC-IV during first-line chemotherapy and the subsequent follow-up period.
 Study 1 reported that the median sensitivity of the investigated criteria for recurrence was 57% (range 33%-95%) during primary therapy and 85% (range 62%-93%) during follow-up. The calculated false positive (FP) and false negative (FN) rates, respectively, were in median 1% (range 0%-13%) and 44% (range 5%-67%) during primary therapy and 9% (range 0%-33%) and 15% (range 7%-38%) during follow-up. Most of the reports were heterogeneous in terms of study design and format of presentation. Study 2 reported that for increments starting from baseline concentrations ≥cut-off, the best performing criterion in terms of low number of FP signals was based on a confirmed increment ≥2.5 times the nadir concentration. For increments starting from baseline concentrations ≤cut-off, the best performing criterion, also in terms of low number of FP signals, was based on a confirmed increment from ≤cut-off to >2 times the cut-off. Accordingly, the best performing criteria in terms of low number of FP events were based on an arbitrary required percentage of change without defining the random variation. Study 3 reported that the accuracy of the seven criteria observed during first-line chemotherapy and follow-up among all histological tumor types and serous tumors only was similar with overlapping 95% confidence intervals. The sensitivities for detecting CA125 increments ranged from 30% to 55%. The FP rates ranged from 0% to 17%; however, the FN rates ranged from 45% to 70%. The median lead-times ranged from 26 days to 87 days. The performances of the CA125 assessment criteria showed low sensitivities and low ability to exclude tumor growth. The chance of developing clinical progression following CA125 progression was high (range of positive predictive value 90%-100%); however, the lead-times were short among several patients. Thus, study 3 questioned the clinical utility of CA125 monitoring. 
Overall, the PhD study showed, that the different CA125 assessment criteria basically provided similar results thus rejecting the hypothesis that criteria based on calculating the random variation would outperform criteria based on a simple percentage of change. The simulated data proved useful for a preclinical evaluation of CA125 assessment criteria. The results suggested that regardless of the approach, fine-tuning of the assessment criteria did not seem to improve the monitoring performance of CA125 probably indicating that CA125 used as a tumor marker for monitoring has inherent limitations in terms of accuracy. Supplementary markers and alternative assessment criteria are needed.

UI MeSH Term Description Entries
D009375 Neoplasms, Glandular and Epithelial Neoplasms composed of glandular tissue, an aggregation of epithelial cells that elaborate secretions, and of any type of epithelium itself. The concept does not refer to neoplasms located in the various glands or in epithelial tissue. Epithelial Cell Neoplasms,Glandular Cell Neoplasms,Epithelial Neoplasms,Glandular Neoplasms,Glandular and Epithelial Neoplasms,Neoplasms, Epithelial,Neoplasms, Glandular,Neoplasms, Glandular Epithelial,Cell Neoplasm, Epithelial,Cell Neoplasm, Glandular,Cell Neoplasms, Epithelial,Epithelial Cell Neoplasm,Epithelial Neoplasm,Epithelial Neoplasm, Glandular,Glandular Cell Neoplasm,Glandular Epithelial Neoplasm,Glandular Epithelial Neoplasms,Glandular Neoplasm,Neoplasm, Epithelial,Neoplasm, Epithelial Cell,Neoplasm, Glandular,Neoplasm, Glandular Cell,Neoplasm, Glandular Epithelial
D010051 Ovarian Neoplasms Tumors or cancer of the OVARY. These neoplasms can be benign or malignant. They are classified according to the tissue of origin, such as the surface EPITHELIUM, the stromal endocrine cells, and the totipotent GERM CELLS. Cancer of Ovary,Ovarian Cancer,Cancer of the Ovary,Neoplasms, Ovarian,Ovary Cancer,Ovary Neoplasms,Cancer, Ovarian,Cancer, Ovary,Cancers, Ovarian,Cancers, Ovary,Neoplasm, Ovarian,Neoplasm, Ovary,Neoplasms, Ovary,Ovarian Cancers,Ovarian Neoplasm,Ovary Cancers,Ovary Neoplasm
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D003198 Computer Simulation Computer-based representation of physical systems and phenomena such as chemical processes. Computational Modeling,Computational Modelling,Computer Models,In silico Modeling,In silico Models,In silico Simulation,Models, Computer,Computerized Models,Computer Model,Computer Simulations,Computerized Model,In silico Model,Model, Computer,Model, Computerized,Model, In silico,Modeling, Computational,Modeling, In silico,Modelling, Computational,Simulation, Computer,Simulation, In silico,Simulations, Computer
D005260 Female Females
D005500 Follow-Up Studies Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease. Followup Studies,Follow Up Studies,Follow-Up Study,Followup Study,Studies, Follow-Up,Studies, Followup,Study, Follow-Up,Study, Followup
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000077216 Carcinoma, Ovarian Epithelial A malignant neoplasm that originates in cells on the surface EPITHELIUM of the ovary and is the most common form of ovarian cancer. There are five histologic subtypes: papillary serous, endometrioid, mucinous, clear cell, and transitional cell. Mutations in BRCA1, OPCML, PRKN, PIK3CA, AKT1, CTNNB1, RRAS2, and CDH1 genes are associated with this cancer. Epithelial Ovarian Cancer,Epithelial Ovarian Carcinoma,Ovarian Cancer, Epithelial,Ovarian Epithelial Cancer,Ovarian Epithelial Carcinoma,Cancer, Epithelial Ovarian,Cancer, Ovarian Epithelial,Carcinoma, Epithelial Ovarian,Epithelial Cancer, Ovarian,Epithelial Carcinoma, Ovarian,Epithelial Ovarian Cancers,Epithelial Ovarian Carcinomas,Ovarian Carcinoma, Epithelial,Ovarian Epithelial Cancers,Ovarian Epithelial Carcinomas
D000970 Antineoplastic Agents Substances that inhibit or prevent the proliferation of NEOPLASMS. Anticancer Agent,Antineoplastic,Antineoplastic Agent,Antineoplastic Drug,Antitumor Agent,Antitumor Drug,Cancer Chemotherapy Agent,Cancer Chemotherapy Drug,Anticancer Agents,Antineoplastic Drugs,Antineoplastics,Antitumor Agents,Antitumor Drugs,Cancer Chemotherapy Agents,Cancer Chemotherapy Drugs,Chemotherapeutic Anticancer Agents,Chemotherapeutic Anticancer Drug,Agent, Anticancer,Agent, Antineoplastic,Agent, Antitumor,Agent, Cancer Chemotherapy,Agents, Anticancer,Agents, Antineoplastic,Agents, Antitumor,Agents, Cancer Chemotherapy,Agents, Chemotherapeutic Anticancer,Chemotherapy Agent, Cancer,Chemotherapy Agents, Cancer,Chemotherapy Drug, Cancer,Chemotherapy Drugs, Cancer,Drug, Antineoplastic,Drug, Antitumor,Drug, Cancer Chemotherapy,Drug, Chemotherapeutic Anticancer,Drugs, Antineoplastic,Drugs, Antitumor,Drugs, Cancer Chemotherapy
D012196 Review Literature as Topic Works about published materials which provide an examination of recent or current literature. These articles can cover a wide range of subject matter at various levels of completeness and comprehensiveness based on analyses of literature that may include research findings. The review may reflect the state of the art and may also include reviews as a literary form. State-of-the-Art Review,State-of-the-Art Reviews,Review, State-of-the-Art,Reviews, State-of-the-Art,State of the Art Review,State of the Art Reviews

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