Research on high-throughput detection of plasma cell-free DNA for targeted therapy-related genes screening and prognosis prediction in non-small cell lung cancer patients
Article|更新时间:2025-12-31
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Research on high-throughput detection of plasma cell-free DNA for targeted therapy-related genes screening and prognosis prediction in non-small cell lung cancer patients
China OncologyVol. 35, Issue 4, Pages: 355-364(2025)
Qiling DENG, Di SONG, Kexin XI, et al. Research on high-throughput detection of plasma cell-free DNA for targeted therapy-related genes screening and prognosis prediction in non-small cell lung cancer patients[J]. China Oncology, 2025, 35(4): 355-364.
DOI:
Qiling DENG, Di SONG, Kexin XI, et al. Research on high-throughput detection of plasma cell-free DNA for targeted therapy-related genes screening and prognosis prediction in non-small cell lung cancer patients[J]. China Oncology, 2025, 35(4): 355-364. DOI: 10.19401/j.cnki.1007-3639.2025.04.003.
Research on high-throughput detection of plasma cell-free DNA for targeted therapy-related genes screening and prognosis prediction in non-small cell lung cancer patients
High-throughput detection of plasma cell-free DNA (cfDNA) is widely used for multi-cancer targeted therapy drug screening
and this study investigated the relationship between the type and number of plasma cfDNA class Ⅰ and Ⅱ targeted therapy-related gene variants and cancer survival in patients with non-small cell lung cancer (NSCLC).
Methods:
The sequencing results and clinical data of NSCLC patients who underwent tumor plasma cfDNA high-throughput sequencing projects in Sun Yat-sen University Cancer Center from 2021 to 2023 were collected. The survival follow-up of enrolled patients was carried out from the day of plasma collection on June 1
2021 to May 27
2024
and GraphPad Prism 8.0 and SPSS Statistics 25.0 were used. Univariate and multivariate statistical analyses were conducted on the types and numbers of class Ⅰ and class Ⅱ targeted therapy-related genes in the survival and clinical data of patients and sequencing results (Ethical approval: B2024-359-01).
Results:
A total of 313 patients included in this study with NSCLC were categorized into stage Ⅰ 25 patients (7.98%)
stage Ⅱ 20 patients (6.39%)
stage Ⅲ 38patients (12.14%)
and stage Ⅳ 230 patients (73.48%). Pathological diagnosis results showed that adenocarcinoma accounted for 90.10%
squamous cell carcinoma accounted for 5.11%
large cell carcinoma accounted for 2.87% and other classifications accounted for 1.92%. The number and the percentage of class Ⅰ and class Ⅱ targeted therapy drug-related genes in the plasma cfDNA NSCLC patients were 0 (25.24%)
1 (17.57%)
2 (19.17%)
3 (14.38%)
4 (8.31%)
and 5 or more (15.34%). The results of statistical analysis showed that 3 genes with the highest mutation frequencies were
EGFR
TP53
and
ERBB2
and the muta
tion frequency of
EGFR
gene was 36.04%. The mutation frequency of
TP53
gene was 30.63%. The mutation frequency of
ERBB2
gene was 4.95%. The survival time of patients is related to not only the expression of hotspot targeted genes
but also the number of class Ⅰ and Ⅱ target-related gene variants detected by plasma cfDNA high-throughput sequencing. The survival time of the patients with no targeted therapy-related locus variants after treatment was longer compares with targeted therapy-related locus variants
which can reduce the risk of death by 63.2%. However
patients with a single gene locus variant had longer survival time and lower risk of death than those with multiple driver locus variants
and the measured class Ⅰ and Ⅱ targeted therapy drugs were within 3 genes. Overall
the smaller the number of genes
the longer the survival.
Conclusions:
The number of class Ⅰ and class Ⅱ targeted therapy-related gene variants in plasma cfDNA high-throughput sequencing also has an effect on the survival of patients after treatment. Plasma cfDNA level detected by high-throughput sequencing could be a prognostic factor for the NSCLC patients.
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references
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Department of Thoracic Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
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