Oral, Fecal and Intratumoral Microbiome Atlas in Colombian Patients With Advanced Solid Tumors Receiving First-Line Immunotherapy
ATLAS
Atlas of the Oral, Fecal and Intratumoral Microbiome of Colombian Patients With Advanced Solid Tumors Candidates for First-Line Immunotherapy - Initial Phase of a Project With Latin American Projection
2 other identifiers
observational
150
1 country
1
Brief Summary
This is a prospective observational cohort study conducted at Fundación CTIC in Bogotá, Colombia. It characterizes the oral, fecal and intratumoral microbiome of Colombian adults with advanced solid tumors (gastric, colorectal, breast, cervical and head-and-neck cancer) who receive first-line immunotherapy as standard of care, and compares them with healthy volunteers. Using multi-omics (HiFi metagenomics, 16S, tumor RNA-Seq and untargeted metabolomics), the study aims to identify microbial signatures associated with treatment response and survival, building the initial Colombian cohort of a Cancer Microbiome Atlas with Latin American projection.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jun 2026
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 11, 2026
CompletedFirst Submitted
Initial submission to the registry
June 24, 2026
CompletedFirst Posted
Study publicly available on registry
June 30, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 28, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
August 30, 2029
July 7, 2026
June 1, 2026
2.7 years
June 24, 2026
July 3, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Oral, fecal and intratumoral microbiome signatures associated with objective tumor response (RECIST 1.1) to first-line immunotherapy
Characterization of oral, fecal and intratumoral microbiomes and identification of taxa and diversity metrics differentiating responders (CR+PR) from non-responders (SD+PD) by RECIST 1.1.
Baseline (V0) and through 12 months
Differences in microbiome composition and diversity between cancer patients and healthy controls
Comparison of alpha and beta diversity and differential taxonomic and functional abundance between cancer patients and healthy controls.
Baseline (V0)
Secondary Outcomes (2)
Microbial, transcriptomic and metabolomic biomarkers associated with progression-free survival (PFS)
Association of microbial diversity, key taxa, MAGs and functional pathways with progression-free survival, estimated by Kaplan-Meier and adjusted Cox models.
Microbial biomarkers associated with overall survival (OS)
Up to 36 months
Other Outcomes (2)
Tumor transcriptomic profile and gene-expression pathways modulated by the intratumoral microbiome
Baseline (V0)
Untargeted salivary and fecal metabolomic profile (subcohort, n=60)
Baseline through 12 months
Study Arms (2)
Patients with advanced solid tumors
120 Colombian adults with advanced (stage III unresectable or IV) gastric, colorectal, breast, cervical or head-and-neck cancer, candidates for first-line immunotherapy (standard of care). Saliva, stool and tongue scraping collected at V0, V1 (6 mo) and V2 (12 mo); archival FFPE tumor block retrieved at V0.
Healthy controls
30 healthy adult volunteers without prior cancer, active autoimmune disease or inflammatory bowel disease, and without antibiotics or invasive dental treatment in the prior 3 months. Saliva and stool collected at V0 only; no longitudinal follow-up.
Interventions
Exposure observed: first-line immunotherapy with immune checkpoint inhibitors administered as standard of care (INVIMA-approved); no experimental intervention is assigned by the study. Healthy controls receive no immunotherapy.
Eligibility Criteria
Colombian adults with advanced solid tumors (gastric, colorectal, breast, cervical, head-and-neck) candidates for first-line immunotherapy, plus healthy adult volunteers. Single center: Fundación CTIC, Bogotá.
You may qualify if:
- Age 18 years or older.
- Histologically confirmed advanced (stage III unresectable or IV) gastric, colorectal, breast, cervical or head-and-neck cancer.
- Candidate for first-line immunotherapy per current clinical guidelines.
- Available FFPE tumor block in institutional or reference pathology archive.
- Able to provide saliva and stool samples at V0 and follow-up.
- ECOG performance status within protocol limits; life expectancy over 3 months.
- Cognitive capacity to give informed consent; signed EVA-BIOBANCO and Atlas consents.
- No prior cancer diagnosis.
- No active autoimmune disease; no inflammatory bowel disease.
- No antibiotics, invasive dental treatment, immunosuppressants or corticosteroids in the prior 3 months; no severe active periodontal disease.
You may not qualify if:
- Systemic antibiotics within 3 months (except short course under 5 days for uncomplicated infection).
- Probiotics or prebiotics within 30 days.
- Chronic proton-pump inhibitors for more than 3 continuous months.
- Inflammatory bowel disease (Crohn, ulcerative colitis) or extensive bowel resection.
- Pregnancy or lactation.
- BMI under 18.5 or over 40 kg/m².
- Uncontrolled diabetes (HbA1c at or above 9% in prior 3 months).
- Invasive dental treatment within 3 months.
- Patients: simultaneous randomized trial of a non-INVIMA-approved experimental immunotherapy; or no evaluable FFPE block meeting quality thresholds.
- Inability to ensure 12-month clinical follow-up.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Fundación CTIC - Centro de Tratamiento e Investigación sobre Cáncer Luis Carlos Sarmiento Angulo
Bogotá, Bogota D.C., 110131, Colombia
Related Publications (10)
Mancini N, Peri F, Rescigno M, Zanoni I. Microbiome studies in the medical sciences and the need for closer multidisciplinary interplay. Sci Signal. 2020 Feb 4;13(617):eaba9911. doi: 10.1126/scisignal.aba9911.
PMID: 32019901BACKGROUNDZhernakova A, Kurilshikov A, Bonder MJ, Tigchelaar EF, Schirmer M, Vatanen T, Mujagic Z, Vila AV, Falony G, Vieira-Silva S, Wang J, Imhann F, Brandsma E, Jankipersadsing SA, Joossens M, Cenit MC, Deelen P, Swertz MA; LifeLines cohort study; Weersma RK, Feskens EJ, Netea MG, Gevers D, Jonkers D, Franke L, Aulchenko YS, Huttenhower C, Raes J, Hofker MH, Xavier RJ, Wijmenga C, Fu J. Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity. Science. 2016 Apr 29;352(6285):565-9. doi: 10.1126/science.aad3369. Epub 2016 Apr 28.
PMID: 27126040BACKGROUNDDohlman AB, Arguijo Mendoza D, Ding S, Gao M, Dressman H, Iliev ID, Lipkin SM, Shen X. The cancer microbiome atlas: a pan-cancer comparative analysis to distinguish tissue-resident microbiota from contaminants. Cell Host Microbe. 2021 Feb 10;29(2):281-298.e5. doi: 10.1016/j.chom.2020.12.001. Epub 2021 Jan 6.
PMID: 33382980BACKGROUNDParida S, Sharma D. The Microbiome and Cancer: Creating Friendly Neighborhoods and Removing the Foes Within. Cancer Res. 2021 Feb 15;81(4):790-800. doi: 10.1158/0008-5472.CAN-20-2629. Epub 2020 Nov 4.
PMID: 33148661BACKGROUNDPark EM, Chelvanambi M, Bhutiani N, Kroemer G, Zitvogel L, Wargo JA. Targeting the gut and tumor microbiota in cancer. Nat Med. 2022 Apr;28(4):690-703. doi: 10.1038/s41591-022-01779-2. Epub 2022 Apr 19.
PMID: 35440726BACKGROUNDCullin N, Azevedo Antunes C, Straussman R, Stein-Thoeringer CK, Elinav E. Microbiome and cancer. Cancer Cell. 2021 Oct 11;39(10):1317-1341. doi: 10.1016/j.ccell.2021.08.006. Epub 2021 Sep 9.
PMID: 34506740BACKGROUNDEl Tekle G, Garrett WS. Bacteria in cancer initiation, promotion and progression. Nat Rev Cancer. 2023 Sep;23(9):600-618. doi: 10.1038/s41568-023-00594-2. Epub 2023 Jul 3.
PMID: 37400581BACKGROUNDParizadeh M, Arrieta MC. The global human gut microbiome: genes, lifestyles, and diet. Trends Mol Med. 2023 Oct;29(10):789-801. doi: 10.1016/j.molmed.2023.07.002. Epub 2023 Jul 27.
PMID: 37516570BACKGROUNDGovender P, Ghai M. Population-specific differences in the human microbiome: Factors defining the diversity. Gene. 2025 Jan 15;933:148923. doi: 10.1016/j.gene.2024.148923. Epub 2024 Sep 6.
PMID: 39244168BACKGROUNDTrakman GL, Fehily S, Basnayake C, Hamilton AL, Russell E, Wilson-O'Brien A, Kamm MA. Diet and gut microbiome in gastrointestinal disease. J Gastroenterol Hepatol. 2022 Feb;37(2):237-245. doi: 10.1111/jgh.15728. Epub 2021 Nov 16.
PMID: 34716949BACKGROUND
Biospecimen
Saliva, stool (feces) and tongue scraping (lingual swab), plus archival FFPE tumor tissue. DNA, RNA and metabolite aliquots stored at -80°C in the institutional biobank (EVA-BIOBANCO) for up to 10 years; FFPE blocks in the institutional pathology archive. Samples retained with DNA for approved future research.
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Andrés F Cardona, MD, MSc, PhD, MBA
Fundación CTIC - Centro de Tratamiento e Investigación sobre Cáncer Luis Carlos Sarmiento Angulo
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 24, 2026
First Posted
June 30, 2026
Study Start
June 11, 2026
Primary Completion (Estimated)
February 28, 2029
Study Completion (Estimated)
August 30, 2029
Last Updated
July 7, 2026
Record last verified: 2026-06
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- Available at study close (estimated 2029); retained at least 15 years per ICH-GCP archiving policy.
- Access Criteria
- Open access via public repositories (SRA, ENA, Zenodo) for de-identified sequence data and analysis code.
De-identified genomic sequences (oral, fecal and intratumoral microbiome) will be deposited in public repositories (NCBI SRA / EBI ENA) with minimal metadata (tumor type, age by decade, sex). Analysis pipelines and code will be versioned and shared via GitHub and Zenodo. Raw data and code will be made public at study close.