Grant Details
Grant Number: |
5R01CA226086-06 Interpret this number |
Primary Investigator: |
Wallace, Kristin |
Organization: |
Medical University Of South Carolina |
Project Title: |
The Immune Contexture of Colorectal Adenomas and Serrated Polyps |
Fiscal Year: |
2023 |
Abstract
The immune reaction to colorectal cancer (CRC) strongly affects its recurrence and mortality. Cancers with
high densities of CD8 cytotoxic, Th1, T-regulatory and memory T-cells have a better prognosis than cancers
with a Th17, Th2 response. Whether immune factors have a similar impact on early, pre-invasive,
carcinogenesis has not been studied. There are 3 common CRC precursor lesions: tubular adenomas (TAs),
tubulovillous/villous adenomas (TVs), and sessile serrated polyps (SSPs). These lesions are fairly well
characterized molecularly, but little is known regarding the immune reaction to them, even though these occur
at a time when carcinogenesis might be more easily countered than after invasive cancer has developed.
Preliminary data suggest that as adenomas progress toward invasive cancer, the Th2 and Th17 immune
responses increase, and the Th1, CD8+ cytotoxic response diminishes. Unfortunately, these data are derived
from relatively small studies, with non-specific methodology. In addition, no study has considered how the
immune contexture in any CRC precursor effects the risk of colorectal neoplasia on follow-up, and essentially
nothing is known about the immune contexture in SSPs. Moreover, there is a paucity of data regarding the
influence of personal and lifestyle factors on the immune responses.
To clarify these issues, we propose to utilize the biospecimens and extensive data from three completed
studies of colorectal neoplasia, in order to characterize the local immune responses in 500 TAs, 150 TVs, and
150 SSPs, and study associations with future neoplasia. We propose 3 specific aims. 1) To contrast TAs, TVs,
and SSPs with regard to infiltration by major T-cell types and immune gene expression 2) To assess the
associations of the immune response with precursor lesion progression (size), and 3) To study associations of
the immune response in TAs with risk of new neoplastic lesions at follow-up, and evaluate whether any
observed association is independent of CRC/precursor risk factors. In exploratory analyses we will also
investigate the associations of the immune responses in CRC precursors with risk and protective factors (e.g.
obesity or smoking and NSAID use or exercise, respectively). We hypothesize that, as in CRC itself, the Th17
and Th2 responses will have a pro-carcinogenic effect and so will be 1) greater in TVs than in TAs and SSPs,
2) directly associated with polyp size, and 3) independently predictive of risk of recurrent neoplasia.
Conversely, we hypothesize that the strength of the Th1, CD8, T-regulatory and memory T cell responses will
have the opposite associations. In summary, we will provide the first rigorous and detailed assessment of the
immune response to colorectal precursors by studying variability in immune response by precursor type,
assessing its impact on lesion growth and recurrence, and identifying epidemiologic correlates of the immune
response. This analysis will provide insight into the mechanisms underlying early colorectal carcinogenesis,
help identify patients at risk for recurrence, and suggest possible preventive interventions.
Publications
SpaceANOVA: Spatial Co-occurrence Analysis of Cell Types in Multiplex Imaging Data Using Point Process and Functional ANOVA.
Authors: Seal S.
, Neelon B.
, Angel P.M.
, O'Quinn E.C.
, Hill E.
, Vu T.
, Ghosh D.
, Mehta A.S.
, Wallace K.
, Alekseyenko A.V.
.
Source: Journal Of Proteome Research, 2024-04-05 00:00:00.0; 23(4), p. 1131-1143.
EPub date: 2024-02-28 00:00:00.0.
PMID: 38417823
Related Citations
SpaceANOVA: Spatial co-occurrence analysis of cell types in multiplex imaging data using point process and functional ANOVA.
Authors: Seal S.
, Neelon B.
, Angel P.
, O'Quinn E.C.
, Hill E.
, Vu T.
, Ghosh D.
, Mehta A.
, Wallace K.
, Alekseyenko A.V.
.
Source: Biorxiv : The Preprint Server For Biology, 2023-07-09 00:00:00.0; , .
EPub date: 2023-07-09 00:00:00.0.
PMID: 37461579
Related Citations
Utilizing multimodal mass spectrometry imaging for profiling immune cell composition and N-glycosylation across colorectal carcinoma disease progression.
Authors: Young L.E.A.
, Nietert P.J.
, Stubler R.
, Kittrell C.G.
, Grimsley G.
, Lewin D.N.
, Mehta A.S.
, Hajar C.
, Wang K.
, O'Quinn E.C.
, et al.
.
Source: Frontiers In Pharmacology, 2023; 14, p. 1337319.
EPub date: 2024-01-11 00:00:00.0.
PMID: 38273829
Related Citations
A deep learning segmentation strategy that minimizes the amount of manually annotated images.
Authors: Pécot T.
, Alekseyenko A.
, Wallace K.
.
Source: F1000research, 2021; 10, p. 256.
EPub date: 2021-03-30 00:00:00.0.
PMID: 35136569
Related Citations