Methods for predicting and/or monitoring cancer treatment response using changes in circulating cancer associated macrophage-like cells (camls)
AssigneeCreatv MicroTech, Inc.
InventorsDaniel L. ADAMS, Cha-Mei TANG
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Abstract
Means for predicting treatment response in a subject having cancer are disclosed, where the predictions are based comparing the number and size of circulating cancer associated macrophage-like cells (CMLS) and circulating tumor cells (CTCs) found in biological samples at baseline and after induction of therapy, such as blood, from the subject.
Claims23
A method for predicting a treatment response in a subject having cancer, comprising determining and comparing the size and number of CAMLs in samples obtained from the subject before treatment (pre-treatment sample) and after treatment (post-treatment sample), and making a prediction based thereon,
- wherein when at least one CAML in the post-treatment sample is greater in size than the largest CAML in the pre-treatment sample and wherein there are more CAMLs in the post-treatment sample than in the pre-treatment sample, the subject is predicted to not respond to treatment.
A method for predicting a treatment response in a subject having cancer, comprising obtaining at least one pre-treatment sample from a subject having cancer and obtaining at least one post-treatment sample from the subject, and comparing the number and size of CAMLs between the pre-and post-treatment samples for differences,
- wherein when the largest CAML in the post-treatment sample is decreased in size or similar in size in comparison to the largest CAML in the pre-treatment sample, and the number of CAMLs in the post-treatment sample is less than the number of CAMLs in the pre-treatment sample, the subject has a probability of benefiting from the treatment, or responding to the treatment.
A method for predicting a treatment response in a subject having cancer, comprising obtaining at least one pre-treatment sample from a subject having cancer and obtaining at least one post-treatment sample from the subject, and comparing the number and size of CAMLs between the pre-and post-treatment samples for differences,
- wherein when the largest CAML in the post-treatment sample is decreased in size or similar in size in comparison to the largest CAML in the pre-treatment sample, and the number of CAMLs in the post-treatment sample is more than or the same as the number of CAMLs in the pre-treatment sample, the subject has a probability of not benefiting from the treatment, or not responding to the treatment.
A method for predicting a treatment response in a subject having cancer comprising obtaining at least one pre-treatment sample from a subject having cancer and obtaining at least one post-treatment sample from the subject, and comparing the number and size of CAMLs between the pre-and post-treatment samples for differences,
- wherein when the largest CAML in the post-treatment sample is increased in size or similar in size in comparison to the largest CAML in the pre-treatment sample, and the number of CAMLs in the post-treatment sample is less than or the same as the number of CAMLs in the pre-treatment sample, the subject has a probability of not benefiting from the treatment, or not responding to the treatment.
A method for predicting a treatment response in a subject having cancer comprising obtaining at least one pre-treatment sample from a subject having cancer and obtaining at least one post-treatment sample from the subject, and comparing the number and size of CAMLs between the pre-and post-treatment samples for differences,
- wherein when the largest CAML in the post-treatment sample is increased in size or similar in size in comparison to the largest CAML in the pre-treatment sample, and the number of CAMLs in the post-treatment sample is more than the number of CAMLs in the pre-treatment sample, the subject has a probability of not benefiting from the treatment, or not responding to the treatment.
A method for predicting a treatment response in a subject having cancer, comprising obtaining at least one post-treatment sample from a subject having cancer, and assaying the sample for CTCs, wherein when one or more CTCs are detected in the sample, the subject has a probability of not benefiting from the treatment, or not responding to the treatment.
A method for predicting a treatment response in a subject having cancer, comprising obtaining at least one pre-treatment sample from a subject having cancer and obtaining at least one post-treatment sample from the subject, and (i) comparing the number and size of CAMLs between the pre-and post-treatment samples for differences and (ii) determining the number of CTCs in the post-treatment samples, wherein when a difference in CAML number and/or size is found and/or at least one CTC is detected, a treatment response is predicted.
Dependencies are inferred from the claim text.