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Tumor recurrence significantly affects survival rates following the local resection of submucosal colorectal cancers (T1 CRC). Despite this, there are currently no reliable biomarkers established to predict recurrence in T1 CRC.
This study seeks to improve the prediction of recurrence-free survival in individuals who have survived T1 CRC.
The incidence of invasive submucosal colorectal cancer (T1 CRC) is increasing, likely as a reflection of improved screening and endoscopy use. Current treatment options for T1 CRC focus on less invasive methods (i.e., endoscopic submucosal dissection), and treatment decisions are based on the risk of lymph node metastasis (LNM). Up to 70-80% of T1 CRC patients may undergo surgery, with adjuvant chemotherapy recommended only for those with LNM.
However, current clinical practice guidelines are considered to be overly aggressive and recommend the administration of aggressive treatment to many patients who may be cured with non-invasive therapy alone. This results in the overtreatment of many patients, especially those that are currently defined as 'high-risk' T1 CRC. Existing surveillance methods may not adequately predict the prognosis of T1 CRC, lacking established biomarkers for assessing disease-free survival.
This study seeks to validate tissue-based biomarkers (micro-RNA and messenger RNA) that are associated with tumor recurrence after curative resection. The identification of patients at high risk of recurrence may help in the selection of patients who truly benefit from additional oncologic surgery or adjuvant therapy. Previous research by this group has identified miRNA signatures for detecting postoperative tumor recurrence and metastasis in CRC, highlighting their potential as biomarkers for disease progression.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| T1 Colorectal Cancer, With Recurrence (Training) | Survivors of T1 colorectal cancer who developed recurrent colorectal cancer within 36 months from primary tumor treatment, in the first cohort |
| |
| T1 Colorectal Cancer, Without Recurrence (Training) | Survivors of T1 colorectal cancer who did not develop recurrent colorectal cancer within 36 months from primary tumor treatment, in the first cohort |
| |
| T1 Colorectal Cancer, With Recurrence (Validation) | Survivors of T1 colorectal cancer who developed recurrent colorectal cancer within 36 months from primary tumor treatment, in the second cohort |
| |
| T1 Colorectal Cancer, Without Recurrence (Validation) | Survivors of T1 colorectal cancer who did not develop recurrent colorectal cancer within 36 months from primary tumor treatment, in the second cohort |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Tw1CE | Other | A panel of microRNA and messenger RNA, whose expression level is tested in macro-dissected formalin-fixed and paraffin-embedded (FFPE) samples derived from the primary tumor, with reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) |
| Measure | Description | Time Frame |
|---|---|---|
| Recurrence-free Survival | Time from curative-intent resection to the development of recurrence (or death) | Up to 60 months |
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Inclusion Criteria:
Exclusion Criteria:
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Two cohorts of patients with T1 colorectal cancer
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| Name | Affiliation | Role |
|---|---|---|
| Ajay Goel, PhD | City of Hope Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| City of Hope Medical Center | Duarte | California | 91010 | United States | ||
| Tokushima University |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 28345456 | Background | Abdelmaksoud-Dammak R, Chamtouri N, Triki M, Saadallah-Kallel A, Ayadi W, Charfi S, Khabir A, Ayadi L, Sallemi-Boudawara T, Mokdad-Gargouri R. Overexpression of miR-10b in colorectal cancer patients: Correlation with TWIST-1 and E-cadherin expression. Tumour Biol. 2017 Mar;39(3):1010428317695916. doi: 10.1177/1010428317695916. | |
| 36633525 |
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Data collected for the study will be made available to others, including de-identified participant data, at publication, via a signed data access agreement and at the discretion of the investigators' approval of the proposed use of such data.
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| ID | Term |
|---|---|
| D015179 | Colorectal Neoplasms |
| D003110 | Colonic Neoplasms |
| ID | Term |
|---|---|
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
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Formalin-fixed, paraffin-embedded slide from the primary tumor
|
| Tokushima |
| Japan |
| Barcelona University | Barcelona | Spain |
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| 36604116 | Background | Morgan E, Arnold M, Gini A, Lorenzoni V, Cabasag CJ, Laversanne M, Vignat J, Ferlay J, Murphy N, Bray F. Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN. Gut. 2023 Feb;72(2):338-344. doi: 10.1136/gutjnl-2022-327736. Epub 2022 Sep 8. |
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| 30797795 | Result | Kandimalla R, Ozawa T, Gao F, Wang X, Goel A; T1 Colorectal Cancer Study Group. Gene Expression Signature in Surgical Tissues and Endoscopic Biopsies Identifies High-Risk T1 Colorectal Cancers. Gastroenterology. 2019 Jun;156(8):2338-2341.e3. doi: 10.1053/j.gastro.2019.02.027. Epub 2019 Feb 21. No abstract available. |
| 29199088 | Result | Ozawa T, Kandimalla R, Gao F, Nozawa H, Hata K, Nagata H, Okada S, Izumi D, Baba H, Fleshman J, Wang X, Watanabe T, Goel A. A MicroRNA Signature Associated With Metastasis of T1 Colorectal Cancers to Lymph Nodes. Gastroenterology. 2018 Mar;154(4):844-848.e7. doi: 10.1053/j.gastro.2017.11.275. Epub 2017 Dec 2. |
| 33819484 | Result | Wada Y, Shimada M, Murano T, Takamaru H, Morine Y, Ikemoto T, Saito Y, Balaguer F, Bujanda L, Pellise M, Kato K, Saito Y, Ikematsu H, Goel A. A Liquid Biopsy Assay for Noninvasive Identification of Lymph Node Metastases in T1 Colorectal Cancer. Gastroenterology. 2021 Jul;161(1):151-162.e1. doi: 10.1053/j.gastro.2021.03.062. Epub 2021 Apr 2. |
| 36609320 | Result | Miyazaki K, Wada Y, Okuno K, Murano T, Morine Y, Ikemoto T, Saito Y, Ikematsu H, Kinugasa Y, Shimada M, Goel A. An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer. Mol Cancer. 2023 Jan 6;22(1):2. doi: 10.1186/s12943-022-01685-8. |
| 41604539 | Derived | Noma T, Saez de Gordoa K, Daca-Alvarez M, Miyazaki K, Wada Y, Mannucci A, Onoyama T, Shimada M, Cuatrecasas M, Bujanda L, Pellise M, Goel A; part of the EpiT1 Consortium. A machine learning-based transcriptomic signature for predicting tumor recurrence after curative resection in T1 colorectal cancer: a retrospective multicenter cohort study (The Tw1CE trial). Int J Surg. 2026 Jan 28;112(4):9039-51. doi: 10.1097/JS9.0000000000004690. Online ahead of print. |
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |