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면역종양 환자의 독성 예측인자로서 장내 마이크로바이옴 및 자가면역 패널의 전향적 분석 (INSPECT-IO)

2026년 9월 30일 업데이트: University Health Network, Toronto

This is a single-center, investigator-initiated, non-interventional study evaluating the role of the intestinal microbiome and autoimmune panels as a predictor for developing ≥ Grade 2 CTCAE v5.0 immune-related adverse event (irAE) and/or requiring systemic immunosuppression for irAEs in advanced solid tumor patients receiving immunooncology (IO) combinations at the Princess Margaret Cancer Centre. This is a minimal risk study involving the analysis of patient samples and does not involve therapeutic intervention.

The study will involve a prospective cohort of up to 120 patients and it is anticipated that patient accrual will be completed within 18 months.

Patients will receive IO combination as per their specific protocols from their other clinical trial or per their standard of care and samples will be collected at multiple time-points. No additional visits to the hospital will be needed for this study as safety assessments are already captured for all patients based on their participation in a clinical trial or per their standard of care.

연구 개요

상태

모집하지 않고 적극적으로

정황

상세 설명

Accumulating evidence supports that differential composition of fecal microbiome influences response to immunotherapy and development of colitis. Microbiome with different profiles are also associated with multiple diseases, including gastrointestinal (GI) or non-GI auto-immune pathologies. Little is known about the relationship between the microbiome composition or fecal calprotectin (fCal) and the development of non-colitis immune-related adverse events (irAEs) during treatment with IO combinations.

Autoimmune conditions and irAEs from immune checkpoint inhibitors (ICI) drugs both involve loss of tolerance to endogenous antigens and produce similar clinical presentations. ICI can increase humoral response. However, to date there is no evidence that autoimmune panels are correlated with the development of irAEs during IO combination therapy.

These findings suggest that analyzing the microbiome and autoimmune panels of patients treated with IO combinations at multiple time-points may be feasible. In addition, baseline, early shift and changes in microbiome and autoimmune panels at time of a serious irAE may be correlated with the development of serious irAEs and may change with appropriate immunosuppressive regimens.

We hypothesize that analysing the microbiome and autoimmune panels of patients treated with immunooncology (IO) combinations at multiple time-points is feasible. Additionally, we hypothesize that baseline, early shift and changes in microbiome and autoimmune panels at time of a serious immune-related adverse event (irAE) is correlated with the development of serious irAEs and will change with appropriate immunosuppressive regimens.

연구 유형

관찰

등록 (추정된)

120

연락처 및 위치

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

연구 장소

    • Ontario
      • Toronto, Ontario, 캐나다, M5G 2M9
        • Princess Margaret Cancer Centre

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

18년 이상 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

샘플링 방법

비확률 샘플

연구 인구

Advanced solid tumor patients receiving immunooncology combinations

설명

Inclusion Criteria:

  1. Signed written and voluntary informed consent.
  2. Patient must be willing and able to provide collection for blood and stool specimen analysis at the pre-specified time-points.
  3. Age > 18 years, male or female.
  4. Patient must be diagnosed with any advanced solid tumor deemed incurable and to be treated at Princess Margaret Cancer Centre.
  5. Patients must be eligible to treatment with an IO combination.

Exclusion Criteria:

  1. Any conditions that in the opinion of the Investigator would interfere with patient safety, or evaluation of the collected specimen and interpretation of study result.
  2. History of autoimmune disease with a flare episode within one year before study screening.

공부 계획

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

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 관찰 모델: OTHER
  • 시간 관점: PROSPECTIVE

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Feasibility of evaluating intestinal microbiome composition and autoimmune panels in patients treated with immunooncology combinations through the analysis of stool and blood samples at multiple time-points.
기간: 18 months

To assess the feasibility, the endpoint will be deemed feasible if >50% of patients have biospecimens collected in at least 2 time-points.

18 months

2차 결과 측정

결과 측정
측정값 설명
기간
Correlation between baseline intestinal microbiome composition to the development of ≥ Grade 2 CTCAE v5.0 irAEs and/or requiring systemic immunosuppression for irAEs.
기간: 18 months

Correlation between bacteria taxa obtained through 16S rRNA sequencing and irAEs.

18 months
Correlation between baseline autoimmune panels to the development of ≥ Grade 2 CTCAE v5.0 irAEs and/or requiring systemic immunosuppression for irAEs.
기간: 18 month

Correlation between auto-antibodies detected through the 162 IgM and IgG antigen microarray with the development of ≥ Grade 2 CTCAE v5.0 irAEs and/or requiring systemic immunosuppression for irAEs.

18 month
Correlation between baseline fecal calprotectin levels to the development of ≥ Grade 2 CTCAE v5.0 colitis and/or requiring systemic immunosuppression for colitis.
기간: 18 months

Correlation between fCal detection at baseline to development of ≥ Grade 2 CTCAE v5.0 irAEs and/or requiring systemic immunosuppression for irAEs.

18 months
Correlation between the early changes in composition of intestinal microbiome and the development of ≥ Grade 2 CTCAE v5.0 irAEs and/or requiring systemic immunosuppression for irAEs.
기간: 18 months

Correlate changes in bacteria taxa composition through 16S rRNA sequencing from baseline samples to early time-point, with the development of ≥ Grade 2 CTCAE v5.0 irAEs and/or requiring systemic immunosuppression for irAEs

18 months
Correlation between the early changes in composition of autoimmune panels and the development of ≥ Grade 2 CTCAE v5.0 irAEs and/or requiring systemic immunosuppression for irAEs.
기간: 18 months

Correlate the changes of auto-immune antibodies reactivity obtained through the 162 IgM and IgG antigen microarray from baseline to early time-point with the development of ≥ Grade 2 CTCAE v5.0 irAEs and/or requiring systemic immunosuppression for irAEs.

18 months
Correlation between the early changes in fecal calprotectin levels to the development of ≥ Grade 2 CTCAE v5.0 colitis and/or requiring systemic immunosuppression for colitis.
기간: 18 months

Correlate the changes in fCal positivity from baseline to early time-point with the development of ≥ Grade 2 CTCAE v5.0 colitis and/or requiring systemic immunosuppression for colitis.

18 months
Evaluate intestinal microbiome, autoimmune panel reactivity & fCal changes from baseline to development of ≥ Gr2 CTCAE v5.0 irAEs and/or requiring systemic immunosuppression for irAEs, & from event diagnosis to resolution to ≤ Gr1 CTCAE v5.0 irAEs
기간: 18 months

Monitor changes in bacteria taxa through 16S rRNA sequencing; reactivity of autoimmune antibodies through 162 IgM and IgG antigen microarray; and positivity of fCal at baseline, early time-point, at the time of event diagnosis, and at the time of event resolution

18 months

기타 결과 측정

결과 측정
측정값 설명
기간
Evaluate the overall response rate (ORR) of the enrolled cohort measured by RECIST v1.1 and iRECIST.
기간: 18 months

ORR by RECIST v1.1 and iRECIST.

18 months
Evaluate the median progression-free survival (PFS) of the enrolled cohort measured by RECIST v1.1 and iRECIST.
기간: 18 months

PFS by RECIST v1.1 and iRECIST.

18 months
Correlation between the baseline composition of the intestinal microbiome with PFS.
기간: 18 months

Microbiome composition through 16S rRNA sequencing with PFS by RECIST v1.1 and iRECIST.

18 months
Correlation between the baseline composition of the intestinal microbiome with ORR.
기간: 18 months

Microbiome composition through 16S rRNA sequencing with ORR by RECIST v1.1 and iRECIST.

18 months
Correlation between the baseline autoimmune panels with ORR.
기간: 18 months

Correlate the reactivity of baseline auto-antibodies detected through the 162 IgM and IgG antigen microarray with ORR per RECIST v1.1 and iRECIST.

18 months
Correlation between the baseline autoimmune panels with PFS.
기간: 18 months

Correlate the reactivity of baseline auto-antibodies detected through the 162 IgM and IgG antigen microarray with PFS per RECIST v1.1 and iRECIST.

18 months
Correlation between the change in composition of the intestinal microbiome at multiple time-points with ORR.
기간: 18 months

Change in microbiome composition as outlined above with ORR per RECIST v1.1 and iRECIST.

18 months
Correlation between the change in composition of the intestinal microbiome at multiple time-points with PFS.
기간: 18 months

Change in microbiome composition as outlined above with PFS per RECIST v1.1 and iRECIST.

18 months
Correlation between the change in autoimmune panels at multiple time-points with ORR.
기간: 18 months

Change in reactivity of auto-immune antibodies as outlined above with ORR per RECIST v1.1 and iRECIST.

18 months
Correlation between the change in autoimmune panels at multiple time-points with PFS.
기간: 18 months

Change in reactivity of auto-immune antibodies as outlined above with PFS per RECIST v1.1 and iRECIST.

18 months
Correlation between the composition of the intestinal microbiome at different time-points with radiomic analysis using voxels lying inside the tumor volume of interest.
기간: 18 months

Correlation of bacteria taxa composition through 16S rRNA sequencing with radiomic analysis.

18 months
Correlation between the reactivity of autoimmune panels at different time-points with radiomic analysis using voxels lying inside the tumor volume of interest.
기간: 18 months

Correlation of auto-immune antibodies as outlined above with radiomic analysis

18 months

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

수사관

  • 수석 연구원: Anna Spreafico, MD, Princess Margaret Cancer Centre

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 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 (실제)

2019년 9월 5일

기본 완료 (추정된)

2027년 3월 5일

연구 완료 (추정된)

2027년 3월 5일

연구 등록 날짜

최초 제출

2019년 9월 23일

QC 기준을 충족하는 최초 제출

2019년 9월 26일

처음 게시됨 (실제)

2019년 9월 27일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 10월 5일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 9월 30일

마지막으로 확인됨

2026년 9월 1일

추가 정보

이 연구와 관련된 용어

기타 연구 ID 번호

  • INSPECT-IO-001

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

아니요

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

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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