NCT03192501

Brief Summary

This study prospectively evaluates whether the use of iCAGES (integrated CAncer GEnome Score) tool in guiding the treatment of advanced cancers is superior to current standard care or IHC-guided therapy in progress free survival (PFS),overall survival (OS),and improvement of life quality.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
250

participants targeted

Target at P75+ for all trials

Timeline
160mo left

Started Jul 2017

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress40%
Jul 2017Jul 2039

First Submitted

Initial submission to the registry

June 15, 2017

Completed
5 days until next milestone

First Posted

Study publicly available on registry

June 20, 2017

Completed
11 days until next milestone

Study Start

First participant enrolled

July 1, 2017

Completed
13 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2030

Expected
9 years until next milestone

Study Completion

Last participant's last visit for all outcomes

July 1, 2039

Last Updated

June 25, 2024

Status Verified

June 1, 2024

Enrollment Period

13 years

First QC Date

June 15, 2017

Last Update Submit

June 22, 2024

Conditions

Keywords

lung canceriCAGESgene mutationprecision medicineadvanced cancersIHCTargeted therapy

Outcome Measures

Primary Outcomes (2)

  • PFS

    The PFS will be recorded during the follow up time.

    2 years

  • OS

    The OS will be recorded during the follow up time.

    2 years

Secondary Outcomes (2)

  • Quality of life.

    2 years

  • Pain

    one year

Study Arms (3)

Study group (A group)

In this group, we perform whole exome or genome sequencing of tumor sample in compared to blood sample, screen tumor-related special mutations by using biomedical informatics analysis procedure and utilized the iCAGES system to rank the most appropriate drugs available and then manually examine this list to select the best therapeutic strategy for the patient based on availability of drug and expert knowledge. The PFS, OS, and quality of life (QOL) will be recorded and compared with that from standard care.

Drug: inhibitors, ADC drugs such as tarceva, capmatinib, padcev et al for A/C group.

Control group (B group)

In this group, patients with advanced cancers (matched with Group A) will be treated under the guidance of NCCN, without performing iCAGES analysis.

Control group (C group)

In this group, patients with advanced cancers (matched with Group A) will be treated with appropriate targeted drugs according to IHC detection of more than 20 protein molecules with blank tissue slides from the cancer.

Drug: inhibitors, ADC drugs such as tarceva, capmatinib, padcev et al for A/C group.

Interventions

Choose appropriate targeted drugs according to NGS/IHC results.

Control group (C group)Study group (A group)

Eligibility Criteria

Age18 Years - 70 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

In this study, all the patients will be recruited from the Second Affiliated Hospital of Guangzhou Medical University and the collaborated Hospitals during 01/07/2017 to 01/07/2019, 250 advanced patients (90 cases for A group, 70 cases for B group, and 90 cases for C group) are anticipated to be collected. All the patients are more than 18 years old and less than 75 years old. The follow-up will be performed every 2 month until 2 years after the first treatment post-recruitment or quit.

You may qualify if:

  • Pathological and clinical diagnosis of recurrence / metastatic lung cancer or other advanced cancers.
  • There are PACS images available at the Second Affiliated Hospital of Guangzhou Medical University and the collaborated Hospitals.
  • The patient is informed consent and signed a written consent.

You may not qualify if:

  • Age \> 70 or \<18 years old.
  • Previous history of malignant tumors.
  • Pregnant or lactating female patients.
  • Any serious concomitant disease that is expected to have an adverse effect on prognosis, including the heart disease that treatment is required, unsatisfactory controlled diabetes and psychiatric disorders.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The Second Affiliated Hospital of Guangzhou Medical University

Guangzhou, Guangdong, 510260, China

RECRUITING

Related Publications (1)

  • Dong C, Guo Y, Yang H, He Z, Liu X, Wang K. iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes. Genome Med. 2016 Dec 22;8(1):135. doi: 10.1186/s13073-016-0390-0.

    PMID: 28007024BACKGROUND

Related Links

Biospecimen

Retention: NONE RETAINED

cancer biopsy samples

MeSH Terms

Conditions

Lung NeoplasmsNeoplasms

Interventions

Erlotinib Hydrochloridecapmatinib

Condition Hierarchy (Ancestors)

Respiratory Tract NeoplasmsThoracic NeoplasmsNeoplasms by SiteLung DiseasesRespiratory Tract Diseases

Intervention Hierarchy (Ancestors)

QuinazolinesHeterocyclic Compounds, 2-RingHeterocyclic Compounds, Fused-RingHeterocyclic Compounds

Study Officials

  • Zhenfeng Zhang, MD,PhD

    Second Affiliated Hospital of Guangzhou Medical University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Zhenfeng Zhang, MD,PhD

CONTACT

Deji Chen, MD,PhD

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 15, 2017

First Posted

June 20, 2017

Study Start

July 1, 2017

Primary Completion (Estimated)

July 1, 2030

Study Completion (Estimated)

July 1, 2039

Last Updated

June 25, 2024

Record last verified: 2024-06

Data Sharing

IPD Sharing
Will not share

Locations