Genentech, Inc.

Foundation Medicine, Inc.

David Shames

David Fabrizio

Doron Lipson

Roman Yelensky

Philip James Stephens

Geoffrey Alan Otto

Hartmut Koeppen

Garrett Michael Frampton

Priti Hegde

James Xin Sun

Jie He

Marcin Kowanetz

Thomas E Januario

Erica Beth Schleifman

Sarah Margaret Shagan

Yan Li

Craig Anthony Cummings

Daniel Lieber

Shan Zhong

Mark Kennedy

Travis Clark

Wei Zou

Wei Yu

See Phan

Sandra Rost

The present invention provides therapeutic, diagnostic, and prognostic methods for cancer. The invention provides methods of treating a cancer, methods of determining whether an individual having a cancer is likely to respond to a treatment including an immune checkpoint inhibitor (e.g., a PD-L1 axis binding antagonist), methods of predicting responsiveness of an individual having a cancer to a treatment including an immune checkpoint inhibitor (e.g., a PD-L1 axis binding antagonist), methods of selecting a therapy for an individual having a cancer, methods of providing a prognosis for an individual having a cancer, and methods of monitoring a response of an individual having a cancer, based on a blood tumor mutational burden (bTMB) score or a maximum somatic allele frequency (MSAF) from a sample (e.g., a whole blood sample, a plasma sample, a serum sample, or a combination thereof) from the individual.

Therapeutic and diagnostic methods for cancer

The present invention provides therapeutic and diagnostic methods and compositions for cancer, for example, lung cancer (e.g., NSCLC), bladder cancer (e.g., UC), kidney cancer (e.g., RCC), breast cancer (e.g., TNBC), or melanoma. The invention provides methods of treating cancer (e.g., lung cancer (e.g., NSCLC), bladder cancer (e.g., UC), kidney cancer (e.g., RCC), breast cancer (e.g., TNBC), or melanoma), methods of determining whether a patient suffering from cancer (e.g., lung cancer (e.g., NSCLC), bladder cancer (e.g., UC), kidney cancer (e.g., RCC), breast cancer (e.g., TNBC), or melanoma) is likely to respond to treatment comprising a PD-L1 axis binding antagonist, methods of predicting responsiveness of a patient suffering from cancer (e.g., lung cancer (e.g., NSCLC), bladder cancer (e.g., UC), kidney cancer (e.g., RCC), breast cancer (e.g., TNBC), or melanoma) to treatment comprising a PD-L1 axis binding antagonist, and methods of selecting a therapy for a patient suffering from cancer (e.g., lung cancer (e.g., NSCLC), bladder cancer (e.g., UC), kidney cancer (e.g., RCC), breast cancer (e.g., TNBC), or melanoma), based on a tissue tumor mutational burden (tTMB) score, which reflects somatic mutation levels of genes in a tumor tissue sample obtained from the patient, alone or in combination with PD-L1 expression levels (e.g., PD-L1 expression levels in tumor or tumor-infiltrating immune cells in a tumor sample (tumor area) obtained from the patient).

The present invention provides methods of treating cancer based on the methylation status of the ERBB2 gene. One aspect of the invention provides a method of administering an EGFR inhibitor therapy based on the methylation status of the ERBB2 gene.

Methods for diagnosing and treating cancer

The present invention concerns cancer biomarkers. In particular, the invention concerns HGF as a biomarker for patient selection and patient prognosis in cancer, as well as methods of therapeutic treatment, articles of manufacture and methods for making them, diagnostic kits, methods of detection and methods of advertising related thereto.

Cancer treatment with c-met antagonists and correlation of the latter with HGF expression

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South San Francisco, CA, United States of America

David Shames