onr:"swepub:oai:DiVA.org:uu-422997"
Search: onr:"swepub:oai:DiVA.org:uu-422997" > Comparing Circulati...
- 1 of 1
- Previous record
- Next record
- To hitlist
Comparing Circulating Tumor Cell Counts with Dynamic Tumor Size Changes as Predictor of Overall Survival : A Quantitative Modeling Framework
-
- Netterberg, Ida (author)
- Uppsala universitet,Institutionen för farmaceutisk biovetenskap
-
- Karlsson, Mats (author)
- Uppsala universitet,Institutionen för farmaceutisk biovetenskap
-
- Terstappen, Leon W. M. M. (author)
- Univ Twente, Fac Sci & Technol, Dept Med Cell BioPhys, Enschede, Netherlands.
- show more...
- show less...
- (creator_code:org_t)
- AMER ASSOC CANCER RESEARCH, 2020
- 2020
- English.
- In: Clinical Cancer Research. - : AMER ASSOC CANCER RESEARCH. - 1078-0432 .- 1557-3265. ; 26:18, s. 4892-4900
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- Purpose: Quantitative relationships between treatment-induced changes in tumor size and circulating tumor cell (CTC) counts, and their links to overall survival (OS), are lacking. We present a population modeling framework identifying and quantifying such relationships, based on longitudinal data collected in patients with metastatic colorectal cancer (mCRC) to evaluate the value of tumor size and CTC counts as predictors of OS. Experimental Design: A pharmacometric approach (i.e., population pharmacodynamic modeling) was used to characterize the changes in tumor size and CTC count and evaluate them as predictors of OS in 451 patients with mCRC treated with chemotherapy and targeted therapy in a prospectively randomized phase III study (CAIRO2). Results: A tumor size model of tumor quiescence and drug resistance was used to characterize the tumor size time-course, and was, in addition to the total normalized dose (i.e., of all administered drugs) in a given cycle, related to the CTC counts through a negative binomial model (CTC model). Tumor size changes did not contribute additional predictive value when themean CTC count was a predictor of OS. Treatment reduced the typical mean count from 1.43 to 0.477 (HR = 3.94). The modeling framework was applied to explore whether dose modifications (increased and reduced) would result in a CTC count below 1/7.5 mL after 1 to 2 weeks of treatment. Conclusions: Time-varying CTC counts can be useful for early predicting OS in patients with mCRC, and may therefore have potential for model-based treatment individualization. Although tumor size was connected to CTC, its link to OS was weaker.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- Clinical Cancer Research (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Netterberg, Ida
- Karlsson, Mats
- Terstappen, Leon ...
- Koopman, Miriam
- Punt, Cornelis J ...
- Friberg, Lena
- About the subject
-
- MEDICAL AND HEALTH SCIENCES
- MEDICAL AND HEAL ...
- and Clinical Medicin ...
- and Cancer and Oncol ...
- Articles in the publication
- Clinical Cancer ...
- By the university
- Uppsala University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
