Literature DB >> 29619933

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

Suher Othman Abu Hassaan1.   

Abstract

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.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29619933

Source DB:  PubMed          Journal:  Dan Med J        ISSN: 2245-1919            Impact factor:   1.240


  8 in total

1.  Relationship between Emphysema Progression at CT and Mortality in Ever-Smokers: Results from the COPDGene and ECLIPSE Cohorts.

Authors:  Samuel Y Ash; Raúl San José Estépar; Sean B Fain; Ruth Tal-Singer; Robert A Stockley; Lars H Nordenmark; Stephen Rennard; MeiLan K Han; Debora Merrill; Stephen M Humphries; Alejandro A Diaz; Stefanie E Mason; Farbod N Rahaghi; Carrie L Pistenmaa; Frank C Sciurba; Gonzalo Vegas-Sánchez-Ferrero; David A Lynch; George R Washko
Journal:  Radiology       Date:  2021-02-16       Impact factor: 11.105

2.  PLAG1 silencing promotes cell chemosensitivity in ovarian cancer via the IGF2 signaling pathway.

Authors:  Wei Huang; Bi-Rong Li; Hao Feng
Journal:  Int J Mol Med       Date:  2020-01-08       Impact factor: 4.101

3.  Prognostic Significance of CA125 Dynamic Change for Progression Free Survival in Patients with Epithelial Ovarian Carcinoma.

Authors:  Zemin Li; Han Yin; Mulan Ren; Yang Shen
Journal:  Med Sci Monit       Date:  2020-09-10

4.  C-reactive protein reduction post treatment is associated with improved survival in atezolizumab (anti-PD-L1) treated non-small cell lung cancer patients.

Authors:  Namrata S Patil; Wei Zou; Simonetta Mocci; Alan Sandler; Marcus Ballinger; Susan Flynn; Marcin Kowanetz; Priti S Hegde
Journal:  PLoS One       Date:  2021-02-03       Impact factor: 3.240

5.  The prognostic factor for recurrence in advanced-stage high-grade serous ovarian cancer after complete clinical remission: a nested case-control study.

Authors:  Qiao Wang; Ying Zheng; Ping Wang; Jiawen Zhang; Hui Liu; Qingli Li; Rutie Yin; Ce Bian; Hongling Peng; Zhilan Peng
Journal:  J Ovarian Res       Date:  2021-12-20       Impact factor: 4.234

6.  Extracellular Vesicle Molecular Signatures Characterize Metastatic Dynamicity in Ovarian Cancer.

Authors:  Amber Gonda; Nanxia Zhao; Jay V Shah; Jake N Siebert; Srujanesh Gunda; Berk Inan; Mijung Kwon; Steven K Libutti; Prabhas V Moghe; Nicola L Francis; Vidya Ganapathy
Journal:  Front Oncol       Date:  2021-11-18       Impact factor: 6.244

Review 7.  Circulating non-coding RNAs in recurrent and metastatic ovarian cancer.

Authors:  Heidi Schwarzenbach; Peter B Gahan
Journal:  Cancer Drug Resist       Date:  2019-09-19

8.  New Analytical Approach for the Alignment of Different HE4 Automated Immunometric Systems: An Italian Multicentric Study.

Authors:  Antonio Angeloni; Corrado De Vito; Antonella Farina; Daniela Terracciano; Michele Cennamo; Rita Passerini; Fabio Bottari; Annalisa Schirinzi; Roberto Vettori; Agostino Steffan; Valerio Mais; Ferdinando Coghe; Luigi Della Corte; Giuseppe Bifulco; Valentina Baccolini; Elena Berardelli; Giuseppe Migliara; Emanuela Anastasi
Journal:  J Clin Med       Date:  2022-04-02       Impact factor: 4.241

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.