A prospective multi-site translational study investigating the association of gut microbiome (GM) diversity with pathological complete response (pCR) after neoadjuvant treatment in early stage rectal and esophageal cancer.

Abstract

TPS849 Background: The diversity of the GM is defined as the number and relative abundance distribution of distinct types of microorganisms colonizing within the gut. Studies have suggested that dysbiosis of the GM confers a predisposition to certain malignancies and impacts response to immunomodulating therapies. The influence of the GM diversity on the pathological response after neoadjuvant chemotherapy and radiotherapy is unclear. Some studies have suggested that the GM may offer predictive biomarkers for response to chemoradiation in rectal cancer. Other studies in early-stage rectal cancer patients indicated an association between GM diversity and pathological outcomes following neo-adjuvant therapy (NAT). We hypothesize that a more diverse GM constitution at baseline leads to an improved pathological response at the time of definitive surgery. Methods: We designed a cross-institutional translational study investigating the impact of the GM diversity on the efficacy of NAT in GI cancers by assessing its association with pathological response. The study population includes patients with early-stage rectal or esophageal cancer due to commence NAT (including chemotherapy and chemoradiation) who are planned for definitive surgery. Exclusion criteria includes prior allogenic tissue/solid organ transplantation and prior receipt of anti-cancer therapy. The study assessments include fecal sampling of the GM prior to NAT, upon completion and again six months post completion of therapy. Fecal samples are analysed by 16S RNA sequencing. Pathological response will be examined at time of surgery and patients will be classified as responders (complete pathological response) or non-responders. The primary endpoint of the study is to examine the association between the GM diversity and pathological response. Exploratory analysis will include the assessment of the association between cf-DNA and the GM diversity as well as an assessment of the association between cf-DNA at baseline and pCR. Species richness (Alpha Diversity) will be analysed using the Shannon diversity index and Jaccard similarity index will be used to calculate beta diversity. Following planned study recruitment, classification and clustering analysis will be performed with Principal Component Analysis (PCA) and Random Forest analysis. Logistic regression analysis adjusting for potential confounding factors will be employed to assess the primary endpoint of the association between GM and complete pCR in the final statistical analysis. Adjusted odds ratios (OR) and 95% confidence intervals will be presented. This trial accrued 11 patients between May 2023 and Sept 2024. Out of the 11 patients enrolled, 9 patients have undergone their planned surgery. We are expecting to have 30 patients accrued prior to Jan 2025.