Evidence map›Paper›PMID 31938151›Full record

ArticleInternational journal of clinical and experimental pathology2018

Plasma CAMK2A predicts chemotherapy resistance in metastatic triple negative breast cancer.

Bin Shao, Zhihua Tian, Huirong Ding, Qingsong Wang, Guohong Song, Lijun Di, Hong Zhang, Huiping Li, Jing Shen

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. [CAMK2a Regulates Paclitaxel Resistance in Oral Squamous Cell Carcinoma Cells by Activating the ERK Signaling Pathway].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Article
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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

9 authors at 2 institutions in 2 countries.

Bin ShaoKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Medical Oncology, Peking University Cancer Hospital & Institute Beijing, P. R. China.
Zhihua TianKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Central Laboratory, Peking University Cancer Hospital & Institute Beijing, P. R. China.
Huirong DingKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Central Laboratory, Peking University Cancer Hospital & Institute Beijing, P. R. China.
Qingsong WangState Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University Beijing, P. R. China.
Guohong SongKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Medical Oncology, Peking University Cancer Hospital & Institute Beijing, P. R. China.
Lijun DiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Medical Oncology, Peking University Cancer Hospital & Institute Beijing, P. R. China.
Hong ZhangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Central Laboratory, Peking University Cancer Hospital & Institute Beijing, P. R. China.
Huiping LiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Medical Oncology, Peking University Cancer Hospital & Institute Beijing, P. R. China.
Jing ShenKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Central Laboratory, Peking University Cancer Hospital & Institute Beijing, P. R. China.
Ministry of Education · ETPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemotherapy resistance is a great obstacle in effective treatment for metastatic triple negative breast cancer (TNBC). The ability to predict chemotherapy response would allow chemotherapy administration to be directed toward only those patients who would benefit, thus maximizing treatment efficiency. Differentially expressed plasma proteins may serve as putative biomarkers for predicting chemotherapy outcomes. PATIENTS AND

methodsIn this study, 26 plasma samples (10 samples with partial response (S) and 16 samples with progression disease (R)) from patients with metastatic TNBC were measured by Tandem Mass Tag (TMT)-based proteomics analysis to identify differentially expressed proteins between the S and R group. Potential proteinswere validated with enzyme-linked immunosorbent assay (ELISA) in another 67 plasma samples.

resultsA total of 320 plasma proteins were identified, and statistical analysis showed that 108 proteins were significantly dysregulated between R and S groups in the screening stage. Bioinformatics revealed relevant pathways and regulatory networks of the differentially expressed proteins. Three differentially expressed proteins were validated by ELISA with 67 samples from TNBC patients. The R group had significantly higher plasma CAMK2A level than the S group (

conclusionTMT-based proteomic analysis was able to identify potential biomarkers in plasma that predicted chemotherapy resistance in the metastatic TNBC. The plasma of CAMK2A level may serve as apotential predictive and prognostic biomarker for chemotherapy in metastatic TNBC.

Indexed as

biomarkersplasmaproteomicstandem mass tagTriple negative breast cancer

Identifiers

PMID31938151
PMCPMC6958019
OpenAlexW3026782538

What OpenQuestion holds

Textmetadata
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.