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ImmunOncology 患者における毒性の予測因子としての腸内微生物叢および自己免疫パネルの前向き分析 (INSPECT-IO)

2026年9月30日 更新者: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.

調査の概要

状態

積極的、募集していない

条件

詳細な説明

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.

研究の種類

観察的

入学 (推定)

120

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

    • Ontario
      • Toronto、Ontario、カナダ、M5G 2M9
        • Princess Margaret Cancer Centre

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

18年歳以上 (大人、高齢者)

健康ボランティアの受け入れ

いいえ

受講資格のある性別

全て

サンプリング方法

非確率サンプル

調査対象母集団

Advanced solid tumor patients receiving immunooncology combinations

説明

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.

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 観測モデル:OTHER
  • 時間の展望:PROSPECTIVE

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
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.
時間枠: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

二次結果の測定

結果測定
メジャーの説明
時間枠
Correlation between baseline intestinal microbiome composition to the development of ≥ Grade 2 CTCAE v5.0 irAEs and/or requiring systemic immunosuppression for irAEs.
時間枠: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.
時間枠: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.
時間枠: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.
時間枠: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.
時間枠: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.
時間枠: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
時間枠: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

その他の成果指標

結果測定
メジャーの説明
時間枠
Evaluate the overall response rate (ORR) of the enrolled cohort measured by RECIST v1.1 and iRECIST.
時間枠: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.
時間枠:18 months

PFS by RECIST v1.1 and iRECIST.

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

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

18 months

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

捜査官

  • 主任研究者:Anna Spreafico, MD、Princess Margaret Cancer Centre

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2019年9月5日

一次修了 (推定)

2027年3月5日

研究の完了 (推定)

2027年3月5日

試験登録日

最初に提出

2019年9月23日

QC基準を満たした最初の提出物

2019年9月26日

最初の投稿 (実際)

2019年9月27日

学習記録の更新

投稿された最後の更新 (実際)

2026年10月5日

QC基準を満たした最後の更新が送信されました

2026年9月30日

最終確認日

2026年9月1日

詳しくは

本研究に関する用語

キーワード

その他の研究ID番号

  • INSPECT-IO-001

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

いいえ

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いいえ

米国FDA規制機器製品の研究

いいえ

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