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| ID | Type | Description | Link |
|---|---|---|---|
| CEI-232 | Other Identifier | Comité de Ética de la Investigación Riesgo de Fractura S.A |
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| Name | Class |
|---|---|
| American Society of Clinical Oncology | OTHER |
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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.
Single-center, prospective, observational cohort study. 120 patients with advanced (stage III unresectable or IV) solid tumors candidates for first-line immunotherapy and 30 healthy controls are enrolled (total N=150). Patients provide saliva, stool and tongue-scraping samples plus archival FFPE tumor tissue at baseline (V0) and at 6 (V1) and 12 (V2) months; controls provide saliva and stool at V0 only. Microbiomes are profiled by PacBio HiFi shotgun metagenomics and full-length 16S; tumor transcriptome by RNA-Seq; and saliva/stool metabolome by GC-MS in a subcohort (n=60). Tumor response is assessed by RECIST 1.1. Microbial, transcriptomic and metabolomic features are integrated with clinical outcomes (objective response, PFS, OS) using multivariable and machine-learning models.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| First-line immunotherapy (immune checkpoint inhibitors), INVIMA-approved, standard of care | Drug | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| 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) |
| Measure | Description | Time Frame |
|---|---|---|
| Microbial, transcriptomic and metabolomic biomarkers associated with progression-free survival (PFS) | Up to 36 months | 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) |
| Measure | Description | Time Frame |
|---|---|---|
| Tumor transcriptomic profile and gene-expression pathways modulated by the intratumoral microbiome | RNA-Seq characterization of tumor gene-expression and identification of pathways correlated with intratumoral microbiome composition. | Baseline (V0) |
| Untargeted salivary and fecal metabolomic profile (subcohort, n=60) |
Inclusion Criteria:
Inclusion Criteria (healthy controls)
Exclusion Criteria:
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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.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Andrés F Cardona, MD, MSc, PhD, MBA | Contact | +573016348173 | acardona@fctic.org | |
| Liliana Gutiérrez, RN, MSc | Contact | +573003768158 | lgutierrez@fctic.org |
| Name | Affiliation | Role |
|---|---|---|
| Andrés F Cardona, MD, MSc, PhD, MBA | Fundación CTIC - Centro de Tratamiento e Investigación sobre Cáncer Luis Carlos Sarmiento Angulo | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Fundación CTIC - Centro de Tratamiento e Investigación sobre Cáncer Luis Carlos Sarmiento Angulo | Recruiting | Bogotá | Bogota D.C. | 110131 | Colombia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32019901 | Background | 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. | |
| 27126040 | Background | Zhernakova 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. |
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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.
Available at study close (estimated 2029); retained at least 15 years per ICH-GCP archiving policy.
Open access via public repositories (SRA, ENA, Zenodo) for de-identified sequence data and analysis code.
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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.
|
Association of microbiome features with overall survival, estimated by Kaplan-Meier and adjusted Cox models. |
| Up to 36 months |
GC-MS untargeted metabolomics of saliva and stool in a stratified subcohort (50 patients, 10 controls) to identify metabolites associated with microbiome composition and immunotherapy response. |
| Baseline through 12 months |
| 33382980 | Background | Dohlman 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. |
| 33148661 | Background | Parida 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. |
| 35440726 | Background | Park 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. |
| 34506740 | Background | Cullin 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. |
| 37400581 | Background | El 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. |
| 37516570 | Background | Parizadeh 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. |
| 39244168 | Background | Govender 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. |
| 34716949 | Background | Trakman 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. |
| ID | Term |
|---|---|
| D013274 | Stomach Neoplasms |
| D015179 | Colorectal Neoplasms |
| D001943 | Breast Neoplasms |
| D002583 | Uterine Cervical Neoplasms |
| D006258 | Head and Neck Neoplasms |
| D009369 | Neoplasms |
| ID | Term |
|---|---|
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D013272 | Stomach Diseases |
| D007414 | Intestinal Neoplasms |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D014594 | Uterine Neoplasms |
| D005833 | Genital Neoplasms, Female |
| D014565 | Urogenital Neoplasms |
| D002577 | Uterine Cervical Diseases |
| D014591 | Uterine Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D000091662 | Genital Diseases |
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| ID | Term |
|---|---|
| D000082082 | Immune Checkpoint Inhibitors |
| D059039 | Standard of Care |
| ID | Term |
|---|---|
| D045504 | Molecular Mechanisms of Pharmacological Action |
| D020228 | Pharmacologic Actions |
| D020164 | Chemical Actions and Uses |
| D000074322 | Antineoplastic Agents, Immunological |
| D000970 | Antineoplastic Agents |
| D045506 | Therapeutic Uses |
| D019984 | Quality Indicators, Health Care |
| D011787 | Quality of Health Care |
| D006298 | Health Services Administration |
| D017530 | Health Care Quality, Access, and Evaluation |
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