Antibody drug conjugates (ADC's) comprising a drug conjugated to antibody or antigen binding fragments thereof that bind to Globo series antigen disclosed herein, as well as methods of use thereof. Methods of use include, without limitation, cancer therapies and diagnostics. The antibodies of the disclosure can bind to certain cancer cell surfaces. Exemplary targets of the antibodies disclosed herein can include carcinomas, such as sarcoma, skin cancer, leukemia, lymphoma, brain cancer, glioblastoma, lung cancer, breast cancer, oral cancer, head-and-neck cancer, nasopharyngeal cancer, esophagus cancer, stomach cancer, liver cancer, bile duct cancer, gallbladder cancer, bladder cancer, pancreatic cancer, intestinal cancer, colorectal cancer, kidney cancer, cervix cancer, endometrial cancer, ovarian cancer, testicle cancer, buccal cancer, oropharyngeal cancer, laryngeal cancer and prostate cancer.

The present invention provides antibodies useful as therapeutics for treating and/or preventing diseases associated with cells expressing CLD18, including tumor-related diseases such as gastric cancer, esophageal cancer, pancreatic cancer, lung cancer, ovarian cancer, colon cancer, hepatic cancer, head-neck cancer, and cancer of the gallbladder.

The present disclosure describes a non-linear compartmental model using PET-derived data to predict, on a patient-specific basis, the optimal therapeutic dose of cargo carrying antibody (e.g., huA33) such as radiolabeled antibody, the antigen occupancy, residency times in normal and malignant tissues, and the cancer-to-normal tissue (e.g., colorectal cancer-to-normal colon tissue) therapeutic index. In addition, the non-linear compartmental model can be readily applied to the development of strategies such as multi-step targeting (MST) designed to further improve the therapeutic indices of RIT.

The present invention provides antibodies useful as therapeutics for treating and/or preventing diseases associated with cells expressing CLD18, including tumor-related diseases such as gastric cancer, esophageal cancer, pancreatic cancer, lung cancer, ovarian cancer, colon cancer, hepatic cancer, head-neck cancer, and cancer of the gallbladder.

Disclosed is a tumor-specific antibody and fluorophore conjugate for detecting, localizing and imaging of various tumors. Also disclosed are methods for detecting, localizing and imaging a solid tumor before or during a tumor resection surgery using the antibody-fluorophore conjugate.

The present invention provides methods and compositions useful in the diagnosis and treatment of cancer. More specifically, the present invention provides compositions and methods of use comprising a targeting composition comprising a solid substrate, an antibody composition, and optionally a chemotherapeutic agent.

Proteomic methods for identifying cancer related proteins and related products and kits are provided. The cancer specific proteins are extracellular matrix proteins that are associated with various aspects of cancer. Panels or signature sets of proteins useful in the detection, diagnosis and treatment of cancers as well as monitoring therapeutic progress in a cancer patient are provided herein along with methods for their detection and for their use in targeting imaging and/or therapeutic agents to the tumors via binding to the specified proteins. The proteins were identified using proteomics analyses of tissue samples taken from cancer patients. In certain aspects the proteins are particularly useful in colon cancer patients.

The present invention provides compositions and methods of use of anti-IGF-1R antibodies or antibody fragments. Preferably the antibodies bind to IGF-1R but not IR; are not agonists for IGF-1R; do not block binding of IGF-1 or IGF-2 to isolated IGF-1R, but effectively neutralize activation of IGF-1R by IGF-1 in intact cells; and block binding of an R1 antibody to IGF-1R. The antibodies may be murine, chimeric, humanized or human R1 antibodies comprising the heavy chain CDR sequences DYYMY (SEQ ID NO:1), YITNYGGSTYYPDTVKG (SEQ ID NO:2) and QSNYDYDGWFAY (SEQ ID NO:3) and the light chain CDR sequences KASQEVGTAVA (SEQ ID NO:4), WASTRHT (SEQ ID NO:5) and QQYSNYPLT (SEQ ID NO:6). Preferably the antibodies bind to an epitope of IGF-1R comprising the first half of the cysteine-rich domain of IGF-1R (residues 151-222). The anti-IGF-1R antibodies may be used for diagnosis or therapy of various diseases such as cancer.

The present invention provides antibodies useful as therapeutics for treating and/or preventing diseases associated with cells expressing CLD18, including tumor-related diseases such as gastric cancer, esophageal cancer, pancreatic cancer, lung cancer, ovarian cancer, colon cancer, hepatic cancer, head-neck cancer, and cancer of the gallbladder.

The present invention provides compositions and methods of use of anti-IGF-1R antibodies or antibody fragments. Preferably the antibodies bind to IGF-1R but not IR; are not agonists for IGF-1R; do not block binding of IGF-1 or IGF-2 to isolated IGF-1R, but effectively neutralize activation of IGF-1R by IGF-1 in intact cells; and block binding of an R1 antibody to IGF-1R. The antibodies may be murine, chimeric, humanized or human R1 antibodies comprising the heavy chain CDR sequences DYYMY (SEQ ID NO:1), YITNYGGSTYYPDTVKG (SEQ ID NO:2) and QSNYDYDGWFAY (SEQ ID NO:3) and the light chain CDR sequences KASQEVGTAVA (SEQ ID NO:4), WASTRHT (SEQ ID NO:5) and QQYSNYPLT (SEQ ID NO:6). Preferably the antibodies bind to an epitope of IGF-1R comprising the first half of the cysteine-rich domain of IGF-1R (residues 151-222). The anti-IGF-1R antibodies may be used for diagnosis or therapy of various diseases such as cancer.