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Further analyses by site of cancer, dose level, and time from first exposure are also presented.
There have been calls to formally account for variability in cancer dose response (NRC 2009).
First, comorbidity of obesity, hypertension, and type 2 diabetes elevated the risk of renal cell cancer dose dependently.
In a subsequent study in advanced prostate cancer, dose de-escalation was done with continued assessment of efficacy to determine the optimal dose for CRPC trials.
In an attempt to improve the efficacy of chemotherapy in breast cancer, dose intensification has been evaluated extensively over the past decade.
The promise of lowering morbidity and the risk of second radiation-induced cancers while, at the same time, escalating the cancer dose to more reliably eradicate the tumour has garnered justifiable enthusiasm.
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In contrast to cholangiocarcinoma in colorectal cancer, dose-escalating studies are on its way and their results are awaited.
These criticisms collectively posit a revisionist view that: 1) cancer incidence among the Taiwanese was amplified by a number of host and environmental factors not applicable elsewhere, 2) the cancer dose-response curve may not be linear at the lower exposures elsewhere, and 3) there is a toxicokinetic and metabolic threshold to cancer risk that was exceeded by the Taiwanese.
For subjects with continuous exposure to opioids who have cancer, doses rise substantially with time.
For those without cancer, doses remain relatively stable for the first 2 years of use, but subsequently increase.
Nonparametric regression graphical techniques are applied to examine the nature or shape of the asbestos-cancer dose-response curve.
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