Evidence map›Paper›PMID 38590311›Full record

ArticleOncology letters2024

A fully validated LC‑MS/MS method for quantifying bevacizumab in plasma samples from patients with NSCLC and its implications in therapeutic drug monitoring.

Bo Li, Meng Yang, Xiaoxue Wang, Wenqian Chen, Hongkai Lu, Guan Wang, Liang Sun, Xiaoyang Liu, Xianbo Zuo, Pengmei Li and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 24% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
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

12 authors at 5 institutions in 1 country.

Bo LiDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, P.R. China.
Meng YangNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, P.R. China.
Xiaoxue WangDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, P.R. China.
Wenqian ChenDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, P.R. China.
Hongkai LuDepartment of Blood Transfusion, China-Japan Friendship Hospital, Beijing 100029, P.R. China.
Guan WangNursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, Innovation Center of Nursing Research, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Liang SunDepartment of Analysis and Testing, Shimadzu (China) Co., Ltd., Beijing 100020, P.R. China.
Xiaoyang LiuDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing 100191, P.R. China.
Xianbo ZuoDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, P.R. China.
Pengmei LiDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, P.R. China.
Lihong LiuDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, P.R. China.
Xianglin ZhangDepartment of Pharmacy, China-Japan Friendship Hospital, Beijing 100029, P.R. China.
China-Japan Friendship Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CNShimadzu (China) · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the increasing use of bevacizumab in combinatorial drug therapy for a multitude of different cancer types, there is a need for therapeutic drug monitoring to analyze the possible correlation between drug trough concentration, and therapeutic effect and adverse reactions. An ultra-performance liquid chromatography tandem-mass spectrometry method was then developed and validated to determine bevacizumab levels in human plasma samples. Chromatographic separation was achieved on a Shimadzu InertSustainBio C18 HP column, whereas subsequent mass spectrometric analysis was performed using a Shimadzu 8050CL triple quadrupole mass spectrometer equipped with an electro-spray ionization source in the positive ion mode. In total, three multiple reaction monitoring transitions of each of the surrogate peptides were chosen with 'FTFSLDTSK' applied as the quantification peptide whereas 'VLIYFTSSLHSGVPSR' and 'STAYLQMNSLR' were designated as the verification peptides using the Skyline software. This analytical method was then fully validated, with specificity, linearity, lower limit of quantitation, accuracy, precision, stability, matrix effect and recovery calculated. The linearity of this method was developed to be within the concentration range 5-400 µg/ml for bevacizumab in human plasma. Subsequently, eight patients with non-small cell lung cancer (NSCLC) were recruited and injected with bevacizumab over three periods of treatment to analyze their steady-state trough concentration and differences. To conclude, the results of the present study suggest that bevacizumab can be monitored in a therapeutic setting in patients with NSCLC.

Indexed as

bevacizumabmonoclonal antibodynano-surface and molecular-orientation limited proteolysistherapeutic drug monitoringultra-performance liquid chromatography tandem mass spectrometry

Identifiers

PMID38590311
PMCPMC10999784
OpenAlexW4394758602

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.