The Human Immune Monitoring Center (HIMC) provides state-of-the-art assays that measure biomarkers relevant to the immune system or specific pathogens. Examples of biomarkers that are specifically relevant to cancer include changes in lymphocyte signaling pathways, serum cytokines and specific immune responses that target tumor cells. This shared resource offers SCI members specialized assays that monitor the effects and efficacy of immunotherapies and vaccination strategies that are becoming increasingly important alternatives or adjuvants to conventional cancer treatment. In addition, pathogens have been implicated in the etiology of many cancers, and the HIMC offers an array of methodologies for pathogen identification. The HIMC initiated operations in 2007 and has attracted many faculty users in the past six years. We expect an increasing demand for the services of HIMC as new recruitments, projects and clinical trials related to the immune modulation of cancer are developed by the SCI. The HIMC offers standardized assays to analyze secreted cytokines (using Luminex and MesoScale Discovery platforms), cell subsets and functions (by flow cytometry and CyTOF) and gene expression (by microarray, qPCR, and targeted RNAseq). It also provides sample processing and biobanking services, and it maintains an integrated, online database of assay results and clinical/demographic data with a total operating budget of $2M. Since 2009, over 55 SCI members have used the shared resource, representing all program affiliations. Dr. Holden Maecker is the Facility Director and an expert in cancer immunology and immune monitoring. Oversight is provided by the HIMC Advisory Committee, headed by Dr. Mark Davis, SCI member and an internationally renowned expert in lymphocyte recognition and immune monitoring technologies. Future goals of the HIMC are to introduce a standardized targeted RNAseq panel for gene expression and T cell receptor sequencing of single-sorted T cells. In addition, single cell tissue (e.g., tumor biopsy) isolation, processing and cryopreservation will be developed as well as online access to the BioBank inventory for investigators to quickly create queries and reports.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA124435-13
Application #
9936150
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2020-06-01
Budget End
2021-05-31
Support Year
13
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Patel, Manali I; Sundaram, Vandana; Desai, Manisha et al. (2018) Effect of a Lay Health Worker Intervention on Goals-of-Care Documentation and on Health Care Use, Costs, and Satisfaction Among Patients With Cancer: A Randomized Clinical Trial. JAMA Oncol 4:1359-1366
Trieu, Vanessa; Pinto, Harlan; Riess, Jonathan W et al. (2018) Weekly Docetaxel, Cisplatin, and Cetuximab in Palliative Treatment of Patients with Squamous Cell Carcinoma of the Head and Neck. Oncologist 23:764-e86
Kuonen, François; Surbeck, Isabelle; Sarin, Kavita Y et al. (2018) TGF?, Fibronectin and Integrin ?5?1 Promote Invasion in Basal Cell Carcinoma. J Invest Dermatol 138:2432-2442
Gee, Marvin H; Han, Arnold; Lofgren, Shane M et al. (2018) Antigen Identification for Orphan T Cell Receptors Expressed on Tumor-Infiltrating Lymphocytes. Cell 172:549-563.e16
Malta, Tathiane M; Sokolov, Artem; Gentles, Andrew J et al. (2018) Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation. Cell 173:338-354.e15
Banerjee, Imon; Gensheimer, Michael Francis; Wood, Douglas J et al. (2018) Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. Sci Rep 8:10037
Thorsson, Vésteinn; Gibbs, David L; Brown, Scott D et al. (2018) The Immune Landscape of Cancer. Immunity 48:812-830.e14
Rogers, Zoë N; McFarland, Christopher D; Winters, Ian P et al. (2018) Mapping the in vivo fitness landscape of lung adenocarcinoma tumor suppression in mice. Nat Genet 50:483-486
Nair, Viswam S; Sundaram, Vandana; Desai, Manisha et al. (2018) Accuracy of Models to Identify Lung Nodule Cancer Risk in the National Lung Screening Trial. Am J Respir Crit Care Med 197:1220-1223
She, Richard; Jarosz, Daniel F (2018) Mapping Causal Variants with Single-Nucleotide Resolution Reveals Biochemical Drivers of Phenotypic Change. Cell 172:478-490.e15

Showing the most recent 10 out of 322 publications