公开(公告)号：US20250064908A1

公开(公告)日：2025-02-27

申请号：US18924824

申请日：2024-10-23

Applicant: AMAZON TECHNOLOGIES, INC

Inventor： Frank Wilhelm Schmitz ,  David Heckerman ,  Layne Christopher Price ,  Antje Heit

IPC: A61K39/00 ,  A61K39/39 ,  A61K45/06

Abstract: Provided herein are immunogenic compositions comprising tumor-specific neoantigen long peptides, tumor-specific neoantigen short peptides, and adjuvant, optionally a helper peptide, and optionally a tumor-specific peptide. The disclosure also provides methods of using these immunogenic compositions for treating cancer.

公开(公告)号：US20250003004A1

公开(公告)日：2025-01-02

申请号：US18271540

申请日：2023-07-06

Applicant: AMAZON TECHNOLOGIES, INC.

Inventor： Haibao Tang ,  David Heckerman ,  Layne Christopher Price ,  Frank Wilhelm Schmitz ,  Alena Harley ,  Antje Heit ,  Samuel Anthony Danziger

IPC: C12Q1/6886 ,  A61K39/00

Abstract: Disclosed herein is a method, comprising administering to a subject in need thereof an initial immunogenic composition comprising a plurality of tumor-specific neoantigens, each corresponding to a member of a first set of tumor-associated mutations in a subject, and none corresponding to a member of a second set of tumor-associated mutations in the subject; and quantifying each member of the first set of tumor-associated mutations and each member of the second set of tumor-associated mutations in circulating material comprising tumor-associated mutations isolated from the subject at each of multiple time points.

公开(公告)号：US20220383996A1

公开(公告)日：2022-12-01

申请号：US17332719

申请日：2021-05-27

Applicant: Amazon Technologies, Inc.

Inventor： Layne Christopher Price ,  David Heckerman ,  Frank Wilhelm Schmitz

IPC: G16H10/60 ,  A61K39/00 ,  G16B15/20 ,  G16H50/20

Abstract: Techniques are described and relate to assigning peptides to peptide groups for vaccine development. In an example, a peptide property of a peptide is determined, where this peptide is from different peptides that are to be assigned to different groups of vaccine. A determination is also made that the peptide is to be assigned to a first group from the different groups based at least in part on the peptide property. The first group has a first group property that is based at least in part on peptide properties of first peptides to be assigned to the first group. The first group property is within a similarity range relative to a second group property of a second group from the different groups. Information is generated and indicates that the peptide is assigned to the first group.