Granted Patent B2

US 12,234,515 · App. 16/912,410 · Granted Feb 25, 2025

Inventors: Yuk-Ming Dennis Lo (Homantin, CN); Rossa Wai Kwun Chiu (Shatin, CN); Kwan Chee Chan (Jordan, CN); Peiyong Jiang (Shatin, CN); Wai Kei Lam (Kowloon, CN)

Assignee: The Chinese University of Hong Kong

C12Q1/6886C12Q1/70C12Q1/705C12Q1/706C12Q2600/154

Abstract

Claims (61)

1. A system for analyzing a biological sample of a subject that is a human, the biological sample including a mixture of cell-free DNA molecules from a genome of the subject and from one or more other genomes, the system comprising:

a detector configured to measure physical characteristics of a plurality of cell-free DNA molecules in the biological sample and provide data signals corresponding to the physical characteristics, the plurality of cell-free DNA molecules being 1 , 000 or more; and

a logic system comprising one or more processors, memory storing a plurality of instructions, and an interface configured to receive the data signals, wherein the instructions, when executed, perform a method comprising:

analyzing the plurality of cell-free DNA molecules from the biological sample, wherein analyzing a group of the plurality of cell-free DNA molecules includes:

identifying locations of the cell-free DNA molecules in a particular viral genome of a cancer-causing virus; and

determining whether the cell-free DNA molecules are methylated at one or more sites of the particular viral genome;

measuring a mixture methylation level based on amounts of the plurality of cell-free DNA molecules methylated at a set of sites of the particular viral genome based on the locations;

comparing the mixture methylation level to one or more reference methylation levels determined from at least two cohorts of other subjects, wherein the at least two cohorts have different classifications associated with the particular viral genome, the different classifications including a first condition that is a cancer; and

determining a first classification of whether the subject has the first condition based on the comparing, wherein the first condition is nasopharyngeal carcinoma (NPC), hepatocellular carcinoma (HCC), cervical cancer (CC), or head and neck squamous cell carcinoma (HNSCC).

2. The system of claim 1 , wherein the different classifications of the at least two cohorts further includes a second condition, wherein the method further comprises:

determining a second classification of whether the subject has the second condition based on the comparing.

3. The system of claim 2 , wherein the one or more reference methylation levels are a plurality of reference methylation levels, wherein the mixture methylation level is compared to the plurality of reference methylation levels that include a first reference methylation level and a second reference methylation level, whether the first reference methylation level is used to determine the first classification of whether the subject has the first condition, and wherein the second reference methylation level is used to determine the second classification of whether the subject has the second condition.

4. The system of claim 3 , wherein the particular viral genome is of Epstein-Barr virus, wherein the first condition is nasopharyngeal cancer, and wherein the second condition is infectious mononucleosis.

5. The system of claim 1 , wherein the first classification is that the subject does not have the first condition.

6. The system of claim 1 , wherein determining the first classification includes determining a level of the first condition.

7. The system of claim 1 , wherein the particular viral genome is of Epstein-Barr virus, and wherein the first condition is nasopharyngeal cancer.

8. The system of claim 1 , wherein measuring the mixture methylation level comprises measuring N mixture methylation levels, N being an integer greater than one, wherein the mixture methylation level is one of the N mixture methylation levels, and wherein the comparing the mixture methylation level to the one or more reference methylation levels comprises comparing the N mixture methylation levels to N reference methylation levels by:

measuring differences between the N mixture methylation levels and N reference methylation levels; and

determining whether the subject belongs to one of the at least two cohorts using the differences.

9. The system of claim 8 , wherein determining whether the subject belongs to one of the at least two cohorts using the differences includes performing a hierarchical clustering analysis.

10. The system of claim 8 , wherein each of the N mixture methylation levels is measured for one of a plurality of predetermined regions.

11. The system of claim 10 , wherein the plurality of predetermined regions are of a same size and span the particular viral genome, and wherein the same size is between 50 bases and 1,000 bases.

12. The system of claim 10 , wherein each of the plurality of predetermined regions satisfies one or more criteria including (1) a difference in a methylation level among multiple subjects of a same cohort and/or (2) a difference in the methylation level between a subject of one cohort and a subject of another cohort.

13. The system of claim 1 , wherein the set of sites reside in a plurality of regions that each satisfies one or more criteria including (1) a difference in a methylation level among multiple subjects of a same cohort and/or (2) a difference in the methylation level between a subject of one cohort and a subject of another cohort.

14. The system of claim 1 , wherein the set of sites satisfies one or more criteria including (1) a difference in a methylation level among multiple subjects of a same cohort and/or (2) a difference in the methylation level between a subject of one cohort and a subject of another cohort.

15. The system of claim 1 , wherein comparing the mixture methylation level to the one or more reference methylation levels determined from the at least two cohorts of other subjects comprises:

inputting the mixture methylation level into a machine learning model that was trained using the one or more reference methylation levels determined from the at least two cohorts of other subjects.

16. The system of claim 1 , wherein the method further comprises:

for each site of the set of sites:

determining a respective number of DNA molecules that are methylated at the site, thereby determining the amounts of the plurality of cell-free DNA molecules methylated at the set of sites of the particular viral genome.

17. The system of claim 16 , wherein the system is configured to perform methylation-aware sequencing of the plurality of cell-free DNA molecules to obtain sequence reads corresponding to the data signals; and wherein the method further comprises:

aligning the sequence reads to the particular viral genome to determine the respective number of DNA molecules that are methylated at each site of the set of sites.

18. The system of claim 1 , wherein the system is configured to perform a methylation-aware assay of the plurality of cell-free DNA molecules as part of determining the locations of the plurality of cell-free DNA molecules and whether the plurality of cell-free DNA molecules are methylated at the set of sites.

19. The system of claim 1 , wherein identifying a location of a cell-free DNA molecule includes determining that the location corresponds to one of the set of sites.

20. The system of claim 1 , wherein the plurality of cell-free DNA molecules are analyzed collectively to determine the amounts of the plurality of cell-free DNA molecules methylated at the set of sites of the particular viral genome.

21. The system of claim 1 , wherein the plurality of cell-free DNA molecules includes at least 10 cell-free DNA molecules located in the particular viral genome.

22. The system of claim 1 , wherein the particular viral genome corresponds to Epstein-Barr virus, human papillomavirus, or hepatitis B virus.

23. The system of claim 1 , wherein the method further comprises:

for each of the plurality of cell-free DNA molecules in a sample:

measuring a size of the cell-free DNA molecule; and

identifying a location of the cell-free DNA molecule in the particular viral genome, the sizes of the plurality of cell-free DNA molecules forming a size distribution, the sample being the biological sample or a different sample including a mixture of cell-free DNA molecules from the genome of the subject and from the one or more other genomes;

determining a statistical value of the size distribution;

comparing the statistical value to a reference size value determined from the at least two cohorts of other subjects;

determining a second classification of whether the subject has the first condition based on the comparing of the statistical value to the reference size value; and

determining a final classification using the first classification and the second classification.

24. The system of claim 1 , wherein the method further comprises:

determining an amount of cell-free DNA molecules derived from the particular viral genome in a sample, the sample being the biological sample or a different sample including a mixture of cell-free DNA molecules from the genome of the subject and from the one or more other genomes;

comparing the amount to a reference value determined from the at least two cohorts of other subjects;

determining a second classification of whether the subject has the first condition based on the comparing of the amount to the reference value; and

determining a final classification using the first classification and the second classification.

25. The system of claim 1 , wherein the system is configured for:

responsive to the first classification being that the subject has the first condition, providing a treatment to the subject to improve the first condition.

26. A computer product for analyzing a biological sample of a subject that is a human, the biological sample including a mixture of cell-free DNA molecules from a genome of the subject and from one or more other genomes, the computer product comprising a non-transitory computer readable medium storing a plurality of instructions that when executed control a computer system to perform:

analyzing a plurality of cell-free DNA molecules from the biological sample, the plurality of cell-free DNA molecules being 1,000 or more, wherein analyzing a group of the plurality of cell-free DNA molecules includes:

identifying locations of the cell-free DNA molecules in a particular viral genome of a cancer-causing virus; and

determining whether the cell-free DNA molecules are methylated at one or more sites of the particular viral genome based on the locations;

measuring a mixture methylation level based on amounts of the plurality of cell-free DNA molecules methylated at a set of sites of the particular viral genome;

comparing the mixture methylation level to one or more reference methylation levels determined from at least two cohorts of other subjects, wherein the at least two cohorts have different classifications associated with the particular viral genome, the different classifications including a first condition, and wherein the first condition is a cancer; and

determining a first classification of whether the subject has the first condition based on the comparing, wherein the first condition is nasopharyngeal carcinoma (NPC), hepatocellular carcinoma (HCC), cervical cancer (CC), or head and neck squamous cell carcinoma (HNSCC).

27. The computer product of claim 26 , wherein the set of sites are across a plurality of regions.

28. The system of claim 1 , wherein the mixture methylation level is measured based on the amounts of the plurality of cell-free DNA molecules methylated at the set of sites of the particular viral genome, wherein the set of sites are across a plurality of regions.

Continuity (3)

References Cited (397)