Chronotherapy of Early Colon Cancer: Advantage of Morning Dose Schedules.

IF 2.5 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Cancer Informatics Pub Date : 2022-01-29 eCollection Date: 2022-01-01 DOI:10.1177/11769351211067697
David E Axelrod
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引用次数: 4

Abstract

Colon adenomas with proliferating mutant cells may progress to invasive carcinomas. Proliferation of cells in human colorectal tissue is circadian, greater in the interval 4 to 12 hours after midnight than 16 to 24 hours after midnight. We have tested the hypothesis that chemotherapy administered during the time of greater cell proliferation will be more effective than chemotherapy administered during the time of lesser proliferation. An agent-based computer model of cell proliferation in colon crypts was calibrated with measurements of cell numbers in human biopsy specimens. It was used to simulate cytotoxic chemotherapy of an early stage of colon cancer, adenomas with about 20% of mutant cells. Chemotherapy doses were scheduled at different 4-hour intervals during the 24-hour day, and repeated at weekly intervals. Chemotherapy administered at 4 to 8 hours after midnight cured mutant cells in 100% of 50 trials with an average time to cure of 7.82 days (s.e.m. = 0.99). In contrast, chemotherapy administered at 20 to 24 hours after midnight cured only 18% of 50 trials, with the average time to cure of 23.51 days (s.e.m. = 2.42). These simulation results suggest that clinical chemotherapy of early colon cancer may be more effective when given in the morning than later in the day.

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早期结肠癌的时间疗法:早晨给药计划的优势。
具有增殖突变细胞的结肠腺瘤可能发展为浸润性癌。人类结直肠组织中细胞的增殖是有昼夜节律的,在午夜后4至12小时的间隔比午夜后16至24小时的间隔更大。我们已经测试了一个假设,即在细胞增殖较大的时间进行化疗比在细胞增殖较小的时间进行化疗更有效。一个基于agent的结肠隐窝细胞增殖的计算机模型通过对人活检标本中细胞数量的测量进行校准。它被用来模拟早期结肠癌的细胞毒性化疗,腺瘤约有20%的突变细胞。化疗剂量在24小时内以不同的4小时间隔安排,并以每周间隔重复。在午夜后4至8小时进行化疗,50个试验中100%治愈突变细胞,平均治愈时间为7.82天(s.e.m. = 0.99)。相比之下,在午夜后20至24小时进行化疗,在50个试验中仅治愈了18%,平均治愈时间为23.51天(s.e.m. = 2.42)。这些模拟结果表明,早期结肠癌的临床化疗在早上进行可能比在一天中的晚些时候进行更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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