Lung cancer clue: LKB1 gene may predict best therapy
NCT ID NCT07710599
First seen Jul 17, 2026 ยท Last updated Jul 17, 2026
Summary
This study examines whether changes in the LKB1 gene can help predict how well people with non-small cell lung cancer respond to treatments like chemotherapy, targeted therapy, and immunotherapy. Researchers will analyze tumor samples and medical records from about 300 patients to see if LKB1 status, along with other gene changes, is linked to survival and treatment outcomes. The goal is to improve personalized treatment choices for lung cancer patients.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a way to use LKB1 status to choose the best treatment for each person with non-small cell lung cancer.
- What could go wrong
- This is a retrospective study that looks at past data, so it cannot prove cause and effect. The results may not apply to all patients or treatments.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
-
300 people
The number who actually took part.
- Started
-
Jan 2024
- Expected to finish
-
Oct 2027
An estimate. End dates often move.
- Lead sponsor
-
Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
This retrospective study enrolls 300 patients with pathologically confirmed non-small cell lung cancer with archived frozen tumor samples. All eligible participants received routine clinical pathological examination, targeted gene panel sequencing covering STK11, KRAS, KEAP1, TP53and PD-L1 IHC testing. We collect real-world clinical data, treatment regimens and long-term follow-up data to analyze the predictive value of STK11 mutation combined with co-mutation profiles on chemotherapy, targeted therapy and immune checkpoint inhibitor efficacy.
- Ages
-
45 to 94 years
- Sex
-
Anyone
- Healthy volunteers
-
Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: Histologically or cytologically confirmed non-small cell lung cancer (NSCLC). Patients who received first-line systemic therapy, including chemotherapy, targeted therapy, immune checkpoint inhibitor therapy, or combined treatment. Available clinicopathologic data, including TNM stage, treatment information, and follow-up records. Available tumor tissue samples or clinically validated molecular testing results for assessment of STK11/LKB1 status and co-mutation profiles, including KRAS, KEAP1, and TP53. Available PD-L1 immunohistochemistry (IHC) results or sufficient tumor tissue for PD-L1 TPS assessment, when applicable. Exclusion Criteria: Pathological diagnosis of small cell lung cancer or mixed small cell/non-small cell lung cancer tumors. Insufficient tumor tissue or unavailable testing results that prevent assessment of STK11/LKB1 status, co-mutation profiles, or PD-L1 expression. Missing key clinical information, treatment records, or follow-up data required for survival analysis. Patients who did not receive first-line systemic therapy.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for Non-small cell lung cancer are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022
Hangzhou, Zhejiang, 310022, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Two-Drug combo targets stubborn KRAS lung cancer
- Smaller chest drain may speed recovery after lung cancer surgery
- Gut bacteria may hold clues to why some cancer treatments work better
- Breath-Tracking sensor aims to sharpen lung cancer scans
- Can PET scan signals predict who beats lung cancer with immunotherapy?
- Two-Drug combo takes aim at Hard-to-Treat lung cancer