High-throughput tissue processing for clearer 3D images of lung and colorectal cancers

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational project will apply a large-format, high-throughput tissue preprocessing system together with three-dimensional imaging to lung and colorectal cancer specimens. Investigators will optimize tissue-clearing workflows and establish transparency and quality criteria tailored to these tumor types. They will develop and validate an iterative 3D immunofluorescent staining protocol to produce high-resolution, morphologically complete datasets. The generated datasets will be used to characterize spatial tumor architecture and to support future prospective validation of imaging-derived markers.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. Patients who have been pathologically diagnosed as having lung cancer or colorectal cancer.
2. Patients with complete clinical data and tumor tissue materials, including H\&E slides, paraffin blocks, and discarded ex vivo specimens.

Exclusion Criteria:

1.Patients with missing data or specimens not meeting quality control requirements for analysis.

Where it's running

• Nanfang Hospital, Southern Medical University
  Guangzhou, Guangdong, China Recruiting

Study contacts

• Study coordinator: Zhengyu Zhang
• Email: zzyusmu@163.com
• Phone: +8613837365993

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• Boosting lung cancer screening for patients seen in the emergency department

  This project will test whether giving eligible emergency department patients a facilitated referral plus text reminders helps more people get lung cancer screening.

  Recruiting University of Rochester · Rochester, New York · NCT07287085

• Targeted alpha therapy for B7-H3 expressing solid tumors using AKY-2519

  This phase 1b trial tests a radiolabeled drug (AKY-2519) to see if it's safe and tolerable in adults with B7-H3 positive advanced solid tumors, including NSCLC and SCLC, with imaging to help guide use.

  Recruiting at 2 sites Phase 1 Aktis Oncology, Inc. · Miami, Florida and 1 other locations · NCT07887971

• Risk-based lung cancer screening in COPD patients using ML and clinical models

  This study tests whether a PLCOm2012 risk model plus a machine learning model can spot COPD patients at high risk for lung cancer to see if they benefit from low-dose CT screening.

  Recruiting Vejle Hospital · Vejle, Region Syddanmark · NCT07848815

• AI-Personalized Discharge Education After Lung Cancer Surgery

  This study tests whether an AI-generated, personalized discharge guide helps patients recover better after lung cancer surgery compared with standard discharge education.

  Recruiting Xiamen University · Siping, Jilin · NCT07827183

• Next Generation Delivery System (NGDS) for SBRT in thorax and upper abdomen

  A study tests a new machine to deliver SBRT more quickly and comfortably for adults with thoracic or upper abdominal cancers.

  Recruiting at 2 sites Varian, a Siemens Healthineers Company · St Louis, Missouri and 1 other locations · NCT07824583

• ENPP1/cGAS and FAP in Solid Tumors in Vietnamese Patients

  This Vietnam-based study will test ENPP1, cGAS, and FAP expression in archived tumor samples from Vietnamese adults with solid cancers using immunohistochemistry.

  Recruiting at 2 sites Tam Anh Research Institute · Hanoi, Hanoi and 1 other locations · NCT07808164

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.