UMIN-CTR Clinical Trial

Unique ID issued by UMIN UMIN000056267
Receipt number R000064287
Scientific Title Regimen-dependent impact of sex and smoking history on overall survival in advanced non-small cell lung cancer
Date of disclosure of the study information 2024/11/25
Last modified on 2024/11/25 16:59:13

* This page includes information on clinical trials registered in UMIN clinical trial registed system.
* We don't aim to advertise certain products or treatments


Basic information

Public title

Regimen-dependent impact of sex and smoking history on overall survival in advanced non-small cell lung cancer

Acronym

Regimen-dependent impact of sex and smoking history on overall survival in advanced non-small cell lung cancer

Scientific Title

Regimen-dependent impact of sex and smoking history on overall survival in advanced non-small cell lung cancer

Scientific Title:Acronym

Regimen-dependent impact of sex and smoking history on overall survival in advanced non-small cell lung cancer

Region

Japan


Condition

Condition

advanced non-small cell lung cancer

Classification by specialty

Pneumology

Classification by malignancy

Malignancy

Genomic information

NO


Objectives

Narrative objectives1

The influence of demographic factors such as sex and smoking history on the efficacy of ICIs has been the focus of extensive research. Some concluded that there is no statistically significant difference in ICI efficacy between smokers and non-smokers. However, some systematic reviews suggest that smokers may derive greater benefit from ICI therapy. This observation is likely attributable to the fact that patients with a smoking history often exhibit a higher tumor mutational burden (TMB), which is associated with enhanced ICI efficacy. On the other hand, the impact of sex on ICI effectiveness remains unclear, with conflicting results reported in the literature. Specifically, some studies suggest greater efficacy in male patients, while others indicate a more pronounced benefit in female patients.
The debate surrounding the influence of sex and smoking history on ICI efficacy remains unresolved. One potential explanation for these conflicting findings is that the effects of sex and smoking history may vary depending on the specific treatment regimen used. ICIs can be administered as monotherapy, in combination with platinum-based chemotherapy, or alongside CTLA-4 inhibitors, each with distinct mechanisms of immunological action.
In this study, we aim to evaluate the impact of sex and smoking history on overall survival (OS) hazard ratios (HR, HRos) in patients with advanced NSCLC treated with ICIs across all treatment regimens. Specifically, we seek to clarify how different treatment regimens influence the effects of sex and smoking history on patient survival.

Basic objectives2

Efficacy

Basic objectives -Others


Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

rate of hazard ratio (RHR) of OS

Key secondary outcomes



Base

Study type

Others,meta-analysis etc


Study design

Basic design


Randomization


Randomization unit


Blinding


Control


Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms


Purpose of intervention


Type of intervention


Interventions/Control_1


Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit


Not applicable

Age-upper limit


Not applicable

Gender

Male and Female

Key inclusion criteria

Patients
This study will include patients with advanced non-small cell lung cancer (NSCLC), encompassing metastatic, relapsed, and locally advanced diseases.
adenocarcinoma, squamous cell carcinoma, large cell carcinoma, and non-squamous cancers are considered eligible. Studies exclusively targeting large cell neuroendocrine carcinoma (LCNEC) will be excluded.

Treatment
The experimental regimens must contain immune checkpoint inhibitors (ICIs), including PD-1 inhibitors, PD-L1 inhibitors, or CTLA-4 inhibitors. LAG-3 inhibitors will be excluded as no phase III trials are available at the time of the search. The analysis will include ICI monotherapy, dual ICI combinations, and ICIs combined with cytotoxic therapies. Both first-line and subsequent lines of therapy will be eligible.
The control regimens must consist of cytotoxic therapies, placebo, or best supportive care. Molecular targeted therapies and ICIs must not be included in the control regimen. Based on the treatment regimens, studies will be categorized into three groups: (1) platinum-doublet chemotherapy plus one PD-(L)1 inhibitor, (2) ICI monotherapy, and (3) regimens containing CTLA-4 inhibitors.

Study design and reporting style
This study will include phase III trials (or phase II/III trials) published as full research article.

Key exclusion criteria

Studies exclusively targeting large cell neuroendocrine carcinoma (LCNEC) will be excluded.
Chemoradiotherapy and perioperative treatments, including adjuvant or neoadjuvant therapy, will be excluded.
Abstracts and non-English publications will be excluded. Studies that do not provide hazard ratios (HRs) for subgroups based on sex and smoking history will also be excluded.

Target sample size



Research contact person

Name of lead principal investigator

1st name Nobuyuki
Middle name
Last name Horita

Organization

Yokohama City University Hospital

Division name

Chemotherapy Center

Zip code

236-0004

Address

3-9, Fukuura, Kanazawa, Yokohama, Japan

TEL

045-787-2800

Email

horitano@yokohama-cu.ac.jp


Public contact

Name of contact person

1st name Nobuyuki
Middle name
Last name Horita

Organization

Yokohama City University Hospital

Division name

Chemotherapy Center

Zip code

236-0004

Address

3-9, Fukuura, Kanazawa, Yokohama, Japan

TEL

045-787-2800

Homepage URL


Email

horitano@yokohama-cu.ac.jp


Sponsor or person

Institute

Yokohama City University Hospital

Institute

Department

Personal name



Funding Source

Organization

Yokohama City University Hospital

Organization

Division

Category of Funding Organization

Other

Nationality of Funding Organization



Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

Yokohama City University Hospital

Address

3-9, Fukuura, Kanazawa, Yokohama, Japan

Tel

045-787-2800

Email

horitano@yokohama-cu.ac.jp


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW



Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2024 Year 11 Month 25 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled


Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Preinitiation

Date of protocol fixation

2024 Year 11 Month 25 Day

Date of IRB


Anticipated trial start date

2024 Year 11 Month 25 Day

Last follow-up date

2025 Year 12 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

Statistics
The rate of hazard ratio (RHR) will be calculated using HRs for sex and smoking history subgroups, based on the formula below: RHR = HRos_men / HRos_women. The 95% confidence interval for the RHR will be derived using the following SE: SE_RHR = (SE_men^2 + SE_women^2)^.5. The RHR for smoking history will be calculated similarly, using non-smokers as the reference.
Meta-analyses will be conducted using RevMan version 5.4.1. The choice between fixed-effect and random-effects models will be determined based on overall heterogeneity. Subgroup heterogeneity will be a key focus of our analysis. Heterogeneity will be assessed using the I2 statistic and the P-value for heterogeneity.


Management information

Registered date

2024 Year 11 Month 25 Day

Last modified on

2024 Year 11 Month 25 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000064287