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Pre-Cancer Atlas (PCA)

A tumor (yellow) is shown in the background. Components within the microenvironment are overlaid on the tumor, including a dendritic cell (pink), a T-cell (blue), a fibroblast (purple and pink), a natural killer cell (dark blue), a regulatory t cell (aqua), blood vessels (red), a macrophage cell (red with a yellow center), and a myeloid cell (green).

The Pre-cancer Atlas (PCA) Research Centers are part of the Human Tumor Atlas Network (HTAN). HTAN, an NCI-collaborative program, is constructing multi-dimensional atlases of the cellular, morphological, molecular, and spatial features of human cancers and their surrounding microenvironments over time.

The atlases being created by HTAN describe important changes during cancer progression, such as the transition of precancers to malignant tumors, the evolution of metastatic cancer, and the development of treatment resistance.

HTAN is supported by the NCI Division of Cancer Prevention (DCP), NCI Division of Biology (DCB), the NCI Division of Cancer Treatment and Diagnosis (DCTD), and the NCI Center for Strategic Science Initiatives (CSSI).

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About Pre-Cancer Atlas

The Pre-cancer Atlas (PCA) Research Centers, along with the Human Tumor Atlas (HTA) Research Centers and a Data Coordinating Center (DCC), make up HTAN. Each PCA Research Center will create a 2D/3D precancer atlas of a pre-cancerous lesion, focusing on how it changes into cancer.

PCA Research Centers have three major tasks:

  • Collecting, processing, and labeling biospecimens.
  • Studying the molecular, cellular, and spatial details of the lesions.
  • Analyzing and modeling the data.

PCA Research Centers will collaborate with other components of HTAN to make the data and analytical tools available to the research community.

Grantee Details

PI Name Sort descending PI Organization Title Grant Number Program Official
Alexandrov, Ludmil B

University Of California, San Diego
United States

Mapping immuno-genomic drivers of the head and neck precancer invasive-disease transition 5U01CA290479-03 Wendy Wang, Ph.D., M.Sc.
Allen, Peter J

Duke University
United States

Biomarker validation for intraductal papillary mucinous neoplasms of the pancreas 5R01CA182076-08 Matthew Young, Ph.D.
Amuta, Ann Oyare

University Of Texas Arlington
United States

Development of Tailored, Multilevel Cervical Cancer Interventions for Ethnically Diverse Black Women 1R15CA294297-01 Goli Samimi, Ph.D., M.P.H.
Anderson, Karen Sue

Arizona State University-Tempe Campus
United States

Southwest EDRN Clinical Validation Center for Head and Neck Cancer 5U01CA281660-03 Wendy Wang, Ph.D., M.Sc.
Anderson, Karen Sue

Arizona State University-Tempe Campus
United States

Southwest EDRN Clinical Validation Center for Head and Neck Cancer 5U01CA281660-03 Wendy Wang, Ph.D., M.Sc.
Anderson, Garnet L.

Fred Hutchinson Cancer Center
United States

NCI Cancer Screening Research Network: Coordinating and Communication Center 3UG1CA286954-02S1 Elyse LeeVan, M.D., M.P.H.
Anderson, Daniel M

Healthpartners Institute
United States

Metro-Minnesota Community Oncology Research Consortium (MMCORC) 3UG1CA189863-12S1 Vanessa A. White, M.P.H.
Anderson, Daniel M

Healthpartners Institute
United States

Metro-Minnesota Community Oncology Research Consortium (MMCORC) 3UG1CA189863-12S1 Vanessa A. White, M.P.H.
Arnold, Corey Wells

University Of California Los Angeles
United States

Computational Feature Profiling and Modeling for Prostate Cancer Detection and Risk Stratification 5R01CA279666-02 Indu Kohaar, Ph.D., M.Phil., M.Sc.
Atigadda, Venkatram Reddy

University Of Alabama At Birmingham
United States

Development of Potent and non-toxic rexinoids to prevent non-melanoma skin cancer 5R01CA276683-03
Backman, Vadim

Northwestern University At Chicago
United States

Optical hyperspectral nanoscale chromatin analysis for colon cancer risk-stratification 1R01CA289294-01A1 Claire Zhu, Ph.D.
Badu-Tawiah, Abraham

Ohio State University
United States

Multiplexed Paper-Based Blood Test for Early-Stage Colorectal Cancer Screening 5R21CA270727-02 Claire Zhu, Ph.D.
Badve, Sunil S.

Emory University
United States

Early prediction of lethal phenotypes in triple negative breast cancer using multiscale, multi-modality platforms 5R01CA281932-02 Wendy Wang, Ph.D., M.Sc.
Bae-Jump, Victoria Lin

Univ Of North Carolina Chapel Hill
United States

Obesity-driven Metabolic and Molecular Biomarkers of Metformin Response in Endometrial Cancer 5R37CA226969-07 Goli Samimi, Ph.D., M.P.H.
Baghdadi, Tareq Al

Saint Joseph Mercy Health System
United States

Michigan Cancer Research Consortium NCORP 3UG1CA189971-11S1 Vanessa A. White, M.P.H.