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Glucose Homeostasis and Shared Genetic Factors in Colorectal Cancer (BRIDGE-CRCDM)

2026년 6월 11일 업데이트: Chang Gung Memorial Hospital

Genetic and Molecular Insights Into Glucose Homeostasis and Colorectal Cancer: Exploring Pleiotropic Genes and Mechanistic Roles in Colorectal Cancer Patients

Colorectal cancer (CRC) and diabetes mellitus are two common diseases that frequently occur together and may share underlying genetic, metabolic, and immune-related mechanisms. Previous studies have shown that diabetes is associated with an increased risk of colorectal cancer and poorer clinical outcomes, while colorectal cancer itself may also influence glucose metabolism.

This prospective observational study aims to investigate the relationships among glucose homeostasis, shared genetic factors, inflammatory responses, immune cell profiles, and colorectal cancer outcomes. Participants with colorectal cancer and non-colorectal cancer controls will undergo serial assessments of glucose-related biomarkers, inflammatory markers, immune cell populations, and genetic analyses over time.

The study will focus on identifying shared genetic variants that may contribute to both colorectal cancer and diabetes-related traits, as well as exploring biological pathways involving inflammation, immune regulation, and metabolism. Blood samples and available colorectal tissue specimens will be analyzed to evaluate gene expression, immune cell distribution, and molecular changes associated with disease progression.

The results of this study may improve understanding of the biological links between colorectal cancer and diabetes, facilitate the development of personalized risk assessment strategies, and identify potential biomarkers and therapeutic targets for patients with colorectal cancer.

연구 개요

상태

아직 모집하지 않음

상세 설명

Colorectal cancer (CRC) and diabetes mellitus (DM) are major public health challenges worldwide. Epidemiological studies have demonstrated a bidirectional association between these two diseases, suggesting the existence of shared biological mechanisms involving glucose regulation, inflammation, immunity, and genetic susceptibility. However, the genetic and molecular pathways linking CRC and abnormal glucose homeostasis remain incompletely understood.

Recent genomic studies have identified several candidate pleiotropic genes that may influence both glycemic traits and CRC risk. Among these candidates, SMAD7 has emerged as a potential shared genetic factor involved in glucose homeostasis, inflammatory signaling, immune regulation, and colorectal tumorigenesis. SMAD7 participates in the TGF-β and NF-κB signaling pathways and may influence interactions between metabolic dysregulation, chronic inflammation, and cancer progression.

The present study is designed to investigate the genetic, molecular, metabolic, and immunological relationships between CRC and glucose homeostasis abnormalities. Large-scale genomic resources and clinical data will be integrated to identify and validate shared genetic variants associated with both conditions. In addition, a prospective observational cohort will be established to evaluate longitudinal changes in glucose metabolism, inflammatory biomarkers, immune cell profiles, and gene expression patterns in patients with CRC.

Particular emphasis will be placed on the characterization of systemic and tumor-associated immune responses, including cytotoxic T lymphocytes and regulatory T cells, and their relationships with glucose homeostasis and candidate genetic variants. Blood samples and available colorectal tissue specimens will be analyzed using molecular, genomic, and immunologic approaches to explore potential mechanisms linking metabolic abnormalities and colorectal cancer progression.

By integrating genetic discovery with clinical and biological investigations, this study aims to improve understanding of the shared pathways between CRC and diabetes-related traits, identify biomarkers associated with disease progression, and provide a foundation for future precision medicine strategies in colorectal cancer.

연구 유형

관찰

등록 (추정된)

200

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

  • 성인
  • 고령자

건강한 자원 봉사자를 받아들입니다

아니

샘플링 방법

비확률 샘플

연구 인구

The study population consists of adult patients aged 20 to 85 years with newly diagnosed colorectal cancer treated at Chang Gung Memorial Hospital. Participants without pre-existing diabetes mellitus will be enrolled and followed prospectively. Clinical data, blood samples, and available colorectal tissue specimens will be collected for analyses of glucose homeostasis, shared genetic variants, inflammatory biomarkers, and immune cell profiles.

설명

Inclusion Criteria:

  • Age 20 to 85 years
  • Histologically confirmed colorectal cancer
  • Newly diagnosed colorectal cancer at the time of enrollment
  • No prior diagnosis of diabetes mellitus
  • Ability to provide written informed consent

Exclusion Criteria:

  • Age younger than 20 years or older than 85 years
  • Pre-existing diagnosis of diabetes mellitus
  • Severe obesity (body mass index ≥35 kg/m²)
  • Pregnancy
  • Inability or unwillingness to provide informed consent

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

코호트 및 개입

그룹/코호트
Colorectal Cancer Cohort
Patients with newly diagnosed colorectal cancer without pre-existing diabetes mellitus at enrollment. Participants will be prospectively followed for 48 weeks to evaluate the development of diabetes mellitus and changes in glucose homeostasis. Serial assessments will include fasting glucose, HbA1c, insulin, C-peptide, inflammatory biomarkers, immune cell profiles, and genetic analyses. Blood samples and available colorectal tissue specimens will be collected for the evaluation of shared genetic variants, SMAD7-related pathways, and molecular mechanisms linking glucose dysregulation and colorectal cancer.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Association between shared genetic variants and glucose homeostasis biomarkers
기간: Baseline to Week 48
Concentrations of fasting plasma glucose (mg/dL), hemoglobin A1c (%), fasting insulin (μIU/mL), and C-peptide (ng/mL) will be measured at baseline and during follow-up. Associations between identified shared genetic variants (e.g., SMAD7) and glucose homeostasis biomarkers will be assessed using regression analyses.
Baseline to Week 48
Incidence of colorectal cancer-related outcomes
기간: Baseline to Week 48
Occurrence of colorectal cancer-related outcomes, including recurrence, progression, or mortality, during the follow-up period. Event rates (%) and time-to-event outcomes will be recorded and analyzed according to genetic variant status.
Baseline to Week 48

2차 결과 측정

결과 측정
측정값 설명
기간
Expression level of SMAD7 in systemic blood and colorectal tissue
기간: Baseline to Week 48
SMAD7 expression levels will be measured in systemic blood and local colorectal tissue samples using quantitative polymerase chain reaction (qPCR) or RNA sequencing. Expression levels will be reported as relative expression values, normalized gene expression counts, or fold change across predefined exposure groups.
Baseline to Week 48
Concentrations of inflammatory and immunological biomarkers in systemic blood and colorectal tissue
기간: Baseline to Week 48
Inflammatory and immunological biomarkers will be measured in systemic blood and local colorectal tissue samples using enzyme-linked immunosorbent assay, multiplex cytokine assay, immunohistochemistry, flow cytometry, or transcriptomic profiling, as applicable. Outcomes will include biomarker concentrations, staining scores, immune cell proportions, or normalized expression values across predefined exposure groups.
Baseline to Week 48
Proportions of T cell subpopulations in systemic blood and colorectal tissue
기간: Baseline to Week 48
T cell subpopulations, including cytotoxic T cells, regulatory T cells, helper T cells, and other relevant T cell subsets, will be measured in systemic blood and local colorectal tissue samples using flow cytometry, immunohistochemistry, or single-cell RNA sequencing, as applicable. Outcomes will be reported as percentages of total lymphocytes, percentages of CD3+ T cells, cell counts, staining scores, or normalized cell abundance estimates.
Baseline to Week 48

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 6월 1일

기본 완료 (추정된)

2028년 5월 30일

연구 완료 (추정된)

2029년 5월 30일

연구 등록 날짜

최초 제출

2026년 6월 1일

QC 기준을 충족하는 최초 제출

2026년 6월 11일

처음 게시됨 (실제)

2026년 6월 15일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 6월 15일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 6월 11일

마지막으로 확인됨

2026년 5월 1일

추가 정보

이 연구와 관련된 용어

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

미정

IPD 계획 설명

The decision regarding sharing of individual participant data has not yet been determined. Future data sharing will be considered in accordance with institutional policies, ethical approvals, participant consent, and applicable privacy regulations.

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

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미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

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