Grant Details
| Grant Number: |
5U54CA280811-04 Interpret this number |
| Primary Investigator: |
Rehkopf, David |
| Organization: |
Stanford University |
| Project Title: |
The Upstream Center: Income Interventions to Address the Fundamental Causes of Cancer |
| Fiscal Year: |
2026 |
Abstract
Persistent poverty areas, a formal geographic classification developed by the United States Department of
Agriculture and codified by Congress, are defined as areas with a poverty rate of 20% or higher across four
consecutive ten-year time periods, spanning 30 years. Cancer rates are higher in these areas, and improving
cancer outcomes in these areas requires transformational, multisector solutions that are co-created with the
impacted communities. To address this challenge, we will form the Upstream Research Center, an innovative
approach to study problems inherent in persistent poverty areas. To best understand what type of clinical
interventions and for whom they will be most effective in these, we take multiple causal identification
approaches in this project. We will analyze data from a randomized income experiment and from quasiexperimental assignment to levels of support from the Earned Income Tax Credit (EITC) to understand
etiologic pathways to cancer, thus increasing our understanding of where clinical interventions can reduce
cancer incidence. Our team science approach to this problem is supported by the unparalleled resources at
Stanford University, the University of California, San Francisco and the University of California, Davis. Our
work advances multiple conceptual and methodological innovations through two main research projects: 1) a
quasi-experimental study design to evaluate the $35M, pre-existing, California state funded Guaranteed Basic
Income program in persistent poverty areas with a focus on modifiable cancer risk factors and intermediate
outcomes that are amenable to clinical intervention; 2) a quasi-experimental analysis of the stated-funded
EITC, which in California has a unique focus on lower income wage earners. Our Specific Aims are to: Aim 1.
Build a collaborative community of residents in persistent poverty areas, trainees, cancer and social science
researchers and data scientists to understand how best to intervene to prevent cancer, Aim 2. Evaluate the
impact of income-based interventions in persistent poverty areas in Northern CA, Aim 3. Develop a
mathematical model, with community input, that can assist in predicting long-term impacts of interventions on
cancer incidence, providing guidance on how best to eliminate the increased burden of cancer in persistent
poverty areas, Aim 4. Develop and implement a career enhancement program that will facilitate the training
and career development of interdisciplinary early-career scholars who are committed to advancing cancer
research in persistent poverty areas and Aim 5. Implement innovative and collaborative cancer prevention and
control programs and innovations in clinical care identified through the Upstream Research Center research
projects and our community partners to develop long-term sustainable strategies for prevention. Results from
this novel groundbreaking work will lay the foundation for transformative approaches to address cancer
prevention and control programs through capacity building and sustainable partnerships, including how clinical
care providers can better meet the needs of their patients living in persistent poverty areas.
Publications
Hereditary gastric cancer checks its balance at the ATM: Broadening risk beyond CDH1.
Authors: Lott P.C.
, Carvajal-Carmona L.G.
.
Source: European Journal Of Human Genetics : Ejhg, 2026-05-12 00:00:00.0; , .
EPub date: 2026-05-12 00:00:00.0.
PMID: 42120543
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Capturing Latino Health Disparities: Lessons from Mail- and Community-Based Population Health Surveys in California.
Authors: Vang A.P.
, Quino J.E.
, Rolon A.M.
, Morales Arana A.
, Dang J.H.T.
, Chen M.S.
, Lara P.N.
, Fejerman L.
, Carvajal-Carmona L.G.
.
Source: Cancer Research Communications, 2026-04-01 00:00:00.0; 6(4), p. 873-883.
PMID: 42008738
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Investigating CAR-T Treatment Access for Multiple Myeloma Patients Using Real-World Evidence.
Authors: Davidson J.
, Kumar A.
, Patel A.
, Chen I.Y.
, Butte A.J.
, Zack T.
.
Source: Cancers, 2026-02-18 00:00:00.0; 18(4), .
EPub date: 2026-02-18 00:00:00.0.
PMID: 41749922
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Comparative Genomic and Microenvironmental Profiles of Hereditary and Sporadic TNBC in Colombian Women.
Authors: Zambrano-Ordoñez Y.T.
, Mejía-Garcia A.
, Ramírez-Mejía J.M.
, Tsao H.M.
, Morales-Suárez P.D.
, Rey-Vargas L.
, Montero-Ovalle W.J.
, Huertas-Caro C.A.
, Lopez-Correa P.
, Riaño-Moreno J.C.
, et al.
.
Source: Biology, 2025-11-30 00:00:00.0; 14(12), .
EPub date: 2025-11-30 00:00:00.0.
PMID: 41463479
Related Citations
Association between ancestry and tumor somatic mutations in a large national cohort of women with breast cancer.
Authors: Fergus K.B.
, Newberg J.
, Greenstein R.
, Fejerman L.
, Carvajal-Carmona L.
, Collisson E.
, Dixit N.
, Frampton G.
, Huang F.W.
, Neuhausen S.L.
, et al.
.
Source: Npj Breast Cancer, 2025-10-29 00:00:00.0; 11(1), p. 117.
EPub date: 2025-10-29 00:00:00.0.
PMID: 41162424
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Genetic and Cellular Architecture of Breast Cancer Risk in Multi-Ancestry Studies of 159,297 Cases and 212,102 Controls.
Authors: Li J.L.
, Zanti M.
, Williams J.
, Jahagirdar O.
, Jia G.
, Turcan A.
, Hu Q.
, Brandenburg J.T.
, Yan L.
, Ho W.K.
, et al.
.
Source: Medrxiv : The Preprint Server For Health Sciences, 2025-08-25 00:00:00.0; , .
EPub date: 2025-08-25 00:00:00.0.
PMID: 40909829
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Genetic Ancestry and Lung Cancer in Latin American Patients: A Crucial Step for Understanding a Diverse Population.
Authors: Castañeda-González J.P.
, Parra-Medina R.
, Riess J.W.
, Gandara D.R.
, Carvajal-Carmona L.G.
.
Source: Clinical Lung Cancer, 2025 Jul; 26(5), p. e342-e352.
EPub date: 2025-03-13 00:00:00.0.
PMID: 40221250
Related Citations
Investigating CAR-T Treatment Access for Multiple Myeloma Patients Using Real-World Evidence.
Authors: Davidson J.
, Kumar A.
, Patel A.
, Chen I.Y.
, Butte A.J.
, Zack T.
.
Source: Medrxiv : The Preprint Server For Health Sciences, 2025-04-19 00:00:00.0; , .
EPub date: 2025-04-19 00:00:00.0.
PMID: 40321270
Related Citations
Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium.
Authors: Lott P.C.
, Chiu K.
, Quino J.E.
, Vang A.P.
, Lloyd M.W.
, Srivastava A.
, Chuang J.H.
, PDXNet Consortium
, Carvajal-Carmona L.G.
.
Source: Cancer Research Communications, 2024-08-01 00:00:00.0; 4(8), p. 2147-2152.
PMID: 39056190
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