Research on Precise Immune Prevention and Treatment of Glioma Based on Multi-omics Sequencing Data

NCT ID: NCT04792437

Last Updated: 2021-03-24

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

120 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-03-10

Study Completion Date

2022-09-30

Brief Summary

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This project intends to use multiple types of biological samples from glioma patients and mouse intracranial tumor models as research objects, and comprehensively apply a series of omics sequencing technologies and molecular biology technologies to jointly define the following research objectives :

Detailed Description

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1. Through high-throughput sequencing technologies such as, genome sequencing, transcriptome sequencing and single-cell sequencing, Proteomics,Metabonomics and Metagenomics, the similarities and differences of the glioma immune microenvironment within and between individuals were revealed from the multi-dimensional and big data level, and the immune molecular typing of glioma was established.
2. Establish and verify that the neoantigen polypeptides predicted by AI algorithm after analyzing multi-omics data (genome, transcriptome, etc.) have good killing effect on individual tumor cells.
3. To establish an intelligent evaluation model of glioma immunotyping by integrating imaging, pathology, high-throughput sequencing data and other omics information, and to provide a visual tool for monitoring changes in the intratumoral microenvironment of glioma patients, with the expectation of helping timely intervention of immunotherapy in patients with recurrence.

Conditions

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Transcriptomics Radiomics Glioma

Study Design

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Observational Model Type

OTHER

Study Time Perspective

OTHER

Study Groups

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glioma patients

glioma patients with routine surgery

surgery

Intervention Type PROCEDURE

surgery

Interventions

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surgery

surgery

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

* The patients with glioma in the Department of Neurosurgery of Huashan Hospital Affiliated to Fudan University who meet the following three conditions can be enrolled

1. They were 18-80 years old, male and female;
2. The pathological diagnosis was glioma;
3. On the basis of not affecting the clinical routine diagnosis, tissue (6 mm \* 6 mm) or paraffin section (5 pieces) can be used for research;
4. Sign informed consent or ethics committee approval
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Yu Yao, MD

OTHER

Sponsor Role lead

Responsible Party

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Yu Yao, MD

Professor

Responsibility Role SPONSOR_INVESTIGATOR

Locations

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Huashan hospital, Fudan University

Shanghai, , China

Site Status RECRUITING

Countries

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China

Facility Contacts

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Yu Yao

Role: primary

86-021-5288-9999

References

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Ostrom QT, Gittleman H, Truitt G, Boscia A, Kruchko C, Barnholtz-Sloan JS. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2011-2015. Neuro Oncol. 2018 Oct 1;20(suppl_4):iv1-iv86. doi: 10.1093/neuonc/noy131. No abstract available.

Reference Type BACKGROUND
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Reference Type BACKGROUND
PMID: 19269895 (View on PubMed)

Tan AC, Ashley DM, Lopez GY, Malinzak M, Friedman HS, Khasraw M. Management of glioblastoma: State of the art and future directions. CA Cancer J Clin. 2020 Jul;70(4):299-312. doi: 10.3322/caac.21613. Epub 2020 Jun 1.

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Chheda ZS, Kohanbash G, Okada K, Jahan N, Sidney J, Pecoraro M, Yang X, Carrera DA, Downey KM, Shrivastav S, Liu S, Lin Y, Lagisetti C, Chuntova P, Watchmaker PB, Mueller S, Pollack IF, Rajalingam R, Carcaboso AM, Mann M, Sette A, Garcia KC, Hou Y, Okada H. Novel and shared neoantigen derived from histone 3 variant H3.3K27M mutation for glioma T cell therapy. J Exp Med. 2018 Jan 2;215(1):141-157. doi: 10.1084/jem.20171046. Epub 2017 Dec 4.

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Nejo T, Matsushita H, Karasaki T, Nomura M, Saito K, Tanaka S, Takayanagi S, Hana T, Takahashi S, Kitagawa Y, Koike T, Kobayashi Y, Nagae G, Yamamoto S, Ueda H, Tatsuno K, Narita Y, Nagane M, Ueki K, Nishikawa R, Aburatani H, Mukasa A, Saito N, Kakimi K. Reduced Neoantigen Expression Revealed by Longitudinal Multiomics as a Possible Immune Evasion Mechanism in Glioma. Cancer Immunol Res. 2019 Jul;7(7):1148-1161. doi: 10.1158/2326-6066.CIR-18-0599. Epub 2019 May 14.

Reference Type BACKGROUND
PMID: 31088845 (View on PubMed)

Keskin DB, Anandappa AJ, Sun J, Tirosh I, Mathewson ND, Li S, Oliveira G, Giobbie-Hurder A, Felt K, Gjini E, Shukla SA, Hu Z, Li L, Le PM, Allesoe RL, Richman AR, Kowalczyk MS, Abdelrahman S, Geduldig JE, Charbonneau S, Pelton K, Iorgulescu JB, Elagina L, Zhang W, Olive O, McCluskey C, Olsen LR, Stevens J, Lane WJ, Salazar AM, Daley H, Wen PY, Chiocca EA, Harden M, Lennon NJ, Gabriel S, Getz G, Lander ES, Regev A, Ritz J, Neuberg D, Rodig SJ, Ligon KL, Suva ML, Wucherpfennig KW, Hacohen N, Fritsch EF, Livak KJ, Ott PA, Wu CJ, Reardon DA. Neoantigen vaccine generates intratumoral T cell responses in phase Ib glioblastoma trial. Nature. 2019 Jan;565(7738):234-239. doi: 10.1038/s41586-018-0792-9. Epub 2018 Dec 19.

Reference Type BACKGROUND
PMID: 30568305 (View on PubMed)

Hilf N, Kuttruff-Coqui S, Frenzel K, Bukur V, Stevanovic S, Gouttefangeas C, Platten M, Tabatabai G, Dutoit V, van der Burg SH, Thor Straten P, Martinez-Ricarte F, Ponsati B, Okada H, Lassen U, Admon A, Ottensmeier CH, Ulges A, Kreiter S, von Deimling A, Skardelly M, Migliorini D, Kroep JR, Idorn M, Rodon J, Piro J, Poulsen HS, Shraibman B, McCann K, Mendrzyk R, Lower M, Stieglbauer M, Britten CM, Capper D, Welters MJP, Sahuquillo J, Kiesel K, Derhovanessian E, Rusch E, Bunse L, Song C, Heesch S, Wagner C, Kemmer-Bruck A, Ludwig J, Castle JC, Schoor O, Tadmor AD, Green E, Fritsche J, Meyer M, Pawlowski N, Dorner S, Hoffgaard F, Rossler B, Maurer D, Weinschenk T, Reinhardt C, Huber C, Rammensee HG, Singh-Jasuja H, Sahin U, Dietrich PY, Wick W. Actively personalized vaccination trial for newly diagnosed glioblastoma. Nature. 2019 Jan;565(7738):240-245. doi: 10.1038/s41586-018-0810-y. Epub 2018 Dec 19.

Reference Type BACKGROUND
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Li Y, Liu X, Xu K, Qian Z, Wang K, Fan X, Li S, Wang Y, Jiang T. MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis. Eur Radiol. 2018 Jan;28(1):356-362. doi: 10.1007/s00330-017-4964-z. Epub 2017 Jul 28.

Reference Type BACKGROUND
PMID: 28755054 (View on PubMed)

Grossmann P, Gutman DA, Dunn WD Jr, Holder CA, Aerts HJ. Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma. BMC Cancer. 2016 Aug 8;16:611. doi: 10.1186/s12885-016-2659-5.

Reference Type BACKGROUND
PMID: 27502180 (View on PubMed)

Other Identifiers

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KY2021-059

Identifier Type: -

Identifier Source: org_study_id

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