Evidence map›Paper›PMID 38764042›Full record

ArticleClinical proteomics2024

Correlation between small-cell lung cancer serum protein/peptides determined by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and chemotherapy efficacy.

Zhihua Li, Junnan Chen, Bin Xu, Wei Zhao, Haoran Zha, Yalin Han, Wennan Shen, Yuemei Dong, Nan Zhao, Manze Zhang and 3 more

Abstract read
In one paragraph

Article in Clinical proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Zhihua Li *Department of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.
Junnan Chen *Department of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.
Bin XuNational Center of Biomedical Analysis, Beijing, 100850, China.
Wei ZhaoDepartment of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.
Haoran ZhaDepartment of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.
Yalin HanDepartment of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.
Wennan ShenDepartment of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.
Yuemei DongDepartment of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.
Nan ZhaoDepartment of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.
Manze ZhangDepartment of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China.
Kun HeNational Center of Biomedical Analysis, Beijing, 100850, China.
Zhaoxia LiDepartment of Oncology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China. 18910883463@163.com.
Xiaoqing LiuDepartment of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, 100071, China. liuxq@medmail.com.

Funding

Chinese National Instrumentation Program 2011YQI70067Youth Fund of National Natural Science Foundation of China 31900627
6 · The paper itself

Abstract

backgroundCurrently, no effective measures are available to predict the curative efficacy of small-cell lung cancer (SCLC) chemotherapy. We expect to develop a method for effectively predicting the SCLC chemotherapy efficacy and prognosis in clinical practice in order to offer more pertinent therapeutic protocols for individual patients.

methodsWe adopted matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and ClinPro Tools system to detect serum samples from 154 SCLC patients with different curative efficacy of standard chemotherapy and analyze the different peptides/proteins of SCLC patients to discover predictive tumor markers related to chemotherapy efficacy. Ten peptide/protein peaks were significantly different in the two groups.

resultsA genetic algorithm model consisting of four peptides/proteins was developed from the training group to separate patients with different chemotherapy efficacies. Among them, three peptides/proteins (m/z 3323.35, 6649.03 and 6451.08) showed high expression in the disease progression group, whereas the peptide/protein at m/z 4283.18 was highly expressed in the disease response group. The classifier exhibited an accuracy of 91.4% (53/58) in the validation group. The survival analysis showed that the median progression-free survival (PFS) of 30 SCLC patients in disease response group was 9.0 months; in 28 cases in disease progression group, the median PFS was 3.0 months, a statistically significant difference (χ

conclusionsThese peptides/proteins may be used as potential biological markers for prediction of the curative efficacy and prognosis for SCLC patients treated with standard regimen chemotherapy.

Indexed as

ChemotherapyMatrix assisted laser desorption ionization-time of flight-mass spectrometryPrediction of efficacyProteomicsSmall-cell lung cancer

Identifiers

PMID38764042
PMCPMC11103996

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