Literature DB >> 24356619

A critical review of the analytical approaches for circulating tumor biomarker kinetics during treatment.

R Almufti1, M Wilbaux, A Oza, E Henin, G Freyer, M Tod, O Colomban, B You.   

Abstract

Changes in serum tumor biomarkers may indicate treatment efficacy. Traditional tumor markers may soon be replaced by novel serum biomarkers, such as circulating tumor cells (CTCs) or circulating tumor nucleic acids. Given their promising predictive values, studies of their kinetics are warranted. Many methodologies meant to assess kinetics of traditional marker kinetics during anticancer treatment have been reported. Here, we review the methodologies, the advantages and the limitations of the analytical approaches reported in the literature. Strategies based on a single time point were first used (baseline value, normalization, nadir, threshold at a time t), followed by approaches based on two or more time points [half-life (HL), percentage decrease, time-to-events…]. Heterogeneities in methodologies and lack of consideration of inter- and intra-individual variability may account for the inconsistencies and the poor utility in routine. More recently, strategies based on a population kinetics approach and mathematical modeling have been reported. The identification of equations describing individual kinetic profiles of biomarkers may be an alternative strategy despite its complexity and higher number of necessary measurements. Validation studies are required. Efforts should be made to standardize biomarker kinetic analysis methodologies to ensure the optimized development of novel serum biomarkers and avoid the pitfalls of traditional markers.

Entities:  

Keywords:  kinetics; predictive factor; prostate adenoma; prostate cancer; tumor biomarkers

Mesh:

Substances:

Year:  2014        PMID: 24356619     DOI: 10.1093/annonc/mdt382

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  16 in total

Review 1.  Bringing Model-Based Prediction to Oncology Clinical Practice: A Review of Pharmacometrics Principles and Applications.

Authors:  Núria Buil-Bruna; José-María López-Picazo; Salvador Martín-Algarra; Iñaki F Trocóniz
Journal:  Oncologist       Date:  2015-12-14

2.  Establishing the Quantitative Relationship Between Lanreotide Autogel®, Chromogranin A, and Progression-Free Survival in Patients with Nonfunctioning Gastroenteropancreatic Neuroendocrine Tumors.

Authors:  Núria Buil-Bruna; Marion Dehez; Amandine Manon; Thi Xuan Quyen Nguyen; Iñaki F Trocóniz
Journal:  AAPS J       Date:  2016-02-23       Impact factor: 4.009

3.  Prediction of biochemical failure using prostate-specific antigen half-life in patients with adverse pathologic features after radical prostatectomy.

Authors:  Kwang Suk Lee; Kyo Chul Koo; Byung Ha Chung
Journal:  World J Urol       Date:  2018-10-22       Impact factor: 4.226

4.  A population pharmacodynamic model for lactate dehydrogenase and neuron specific enolase to predict tumor progression in small cell lung cancer patients.

Authors:  Núria Buil-Bruna; José-María López-Picazo; Marta Moreno-Jiménez; Salvador Martín-Algarra; Benjamin Ribba; Iñaki F Trocóniz
Journal:  AAPS J       Date:  2014-04-17       Impact factor: 4.009

5.  Imaging of Hsp70-positive tumors with cmHsp70.1 antibody-conjugated gold nanoparticles.

Authors:  Mathias K Gehrmann; Melanie A Kimm; Stefan Stangl; Thomas E Schmid; Peter B Noël; Ernst J Rummeny; Gabriele Multhoff
Journal:  Int J Nanomedicine       Date:  2015-09-08

6.  Early detection of poor outcome in patients with metastatic colorectal cancer: tumor kinetics evaluated by circulating tumor cells.

Authors:  Virgílio Souza E Silva; Ludmilla Thomé Domingos Chinen; Emne A Abdallah; Aline Damascena; Jociana Paludo; Rubens Chojniak; Aldo Lourenço Abbade Dettino; Celso Abdon Lopes de Mello; Vanessa S Alves; Marcello F Fanelli
Journal:  Onco Targets Ther       Date:  2016-12-13       Impact factor: 4.147

7.  A Joint Model for the Kinetics of CTC Count and PSA Concentration During Treatment in Metastatic Castration-Resistant Prostate Cancer.

Authors:  M Wilbaux; M Tod; J De Bono; D Lorente; J Mateo; G Freyer; B You; E Hénin
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-04-24

8.  A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis.

Authors:  B Ribba; N H Holford; P Magni; I Trocóniz; I Gueorguieva; P Girard; C Sarr; M Elishmereni; C Kloft; L E Friberg
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-05-07

9.  Tumor antigen CA125 suppresses antibody-dependent cellular cytotoxicity (ADCC) via direct antibody binding and suppressed Fc-γ receptor engagement.

Authors:  James Bradford Kline; Rina P Kennedy; Earl Albone; Qimin Chao; Shawn Fernando; Jennifer M McDonough; Katherine Rybinski; Wenquan Wang; Elizabeth B Somers; Charles Schweizer; Luigi Grasso; Nicholas C Nicolaides
Journal:  Oncotarget       Date:  2017-07-07

10.  Kinetics of HE4 and CA125 as prognosis biomarkers during neoadjuvant chemotherapy in advanced epithelial ovarian cancer.

Authors:  Jorge A Alegría-Baños; José C Jiménez-López; Arely Vergara-Castañeda; David F Cantú de León; Alejandro Mohar-Betancourt; Delia Pérez-Montiel; Gisela Sánchez-Domínguez; Mariana García-Villarejo; César Olivares-Pérez; Ángel Hernández-Constantino; Acitlalin González-Santiago; Miguel Clara-Altamirano; Liz Arela-Quispe; Diddier Prada-Ortega
Journal:  J Ovarian Res       Date:  2021-07-19       Impact factor: 4.234

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