MYCOBIOME IN CANCER

Organization Name

the regents of the university of california

Inventor(s)

MYCOBIOME IN CANCER - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240339216 titled 'MYCOBIOME IN CANCER

The patent application discusses methods and systems for predicting cancer in a subject by analyzing both fungal and non-fungal features of a biological sample.

Detecting the presence of fungi and non-fungal microbes in a biological sample.
Removing any contaminating fungal and non-fungal microbial features from the sample.
Correlating the decontaminated fungal and non-fungal microbial presence to known patterns for various cancers to predict the likelihood of cancer in the subject.

Potential Applications: - Early detection of cancer in patients. - Personalized treatment plans based on microbial presence. - Monitoring cancer progression and response to treatment.

Problems Solved: - Improved accuracy in cancer prediction. - Utilization of microbial features for diagnostic purposes.

Benefits: - Early intervention and treatment for cancer. - Personalized and targeted therapy. - Non-invasive diagnostic approach.

Commercial Applications: Title: "Innovative Cancer Prediction Technology for Personalized Treatment Plans" This technology can be utilized in healthcare settings, research institutions, and diagnostic laboratories to enhance cancer detection and treatment strategies.

Questions about the technology: 1. How does this technology improve upon traditional cancer prediction methods? - This technology combines fungal and non-fungal microbial features for more accurate cancer predictions, offering a novel approach to early detection.

2. What are the potential implications of using microbial features for cancer prediction? - By incorporating microbial data, this technology may lead to more personalized and effective treatment plans for cancer patients.

Original Abstract Submitted

methods and systems are presented herein for predicting cancer of a subject through a combination of fungal and non-fungal features of a biological sample. some embodiments, describe a method of predicting cancer of a subject from a combined fungal and non-fungal microbial presence of a biological sample by: detecting a fungal presence and a non-fungal microbial presence in a sample, removing contaminating fungal features of the fungal presence and contaminating non-fungal microbial features of the non-fungal microbial presence, and predicting a cancer of the subject by correlating the combined decontaminated fungal presence and the decontaminated non-fungal microbial presence to a known combined fungal presence and non-fungal microbial presence for one or more cancers.