Evidence map›Paper›PMID 26033570›Full record

ArticleCancer science2015

Quantitative proteomic analysis of mitochondria from human ovarian cancer cells and their paclitaxel-resistant sublines.

Ming Chen, Hong Huang, Haojie He, Wantao Ying, Xin Liu, Zhiqin Dai, Jie Yin, Ning Mao, Xiaohong Qian, Lingya Pan

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-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

9 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Mitochondrial heterogeneity in diseases.Signal transduction and targeted therapy · 2023
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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

10 authors at 5 institutions in 1 country.

Ming ChenDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hong HuangDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Haojie HeDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wantao YingState Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing, China.
Xin LiuState Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing, China.
Zhiqin DaiDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jie YinDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ning MaoDepartment of Cell Biology, Institute of Basic Medical Sciences, Beijing, China.
Xiaohong QianState Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing, China.
Lingya PanDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Beijing Proteome Research Center · CNPeking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNCapital Medical University · CNPeking University Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paclitaxel resistance is a major obstacle for the treatment of ovarian cancer. The chemoresistance mechanisms are partly related to the mitochondria. Identification of the relevant proteins in mitochondria will help in clarifying the possible mechanisms and in selecting effective chemotherapy for patients with paclitaxel resistance. In the present study, mitochondria from two paclitaxel-sensitive human ovarian cancer cell lines (SKOV3 and A2780) and their corresponding resistant cell lines (SKOV3-TR and A2780-TR) were isolated. Guanidine-modified acetyl-stable isotope labeling and liquid chromatography-hybrid linear ion trap Fourier-transform ion cyclotron resonance mass spectrometry (LC-FTICR MS) were performed to find the expressed differential proteins. Comparative proteomic analysis revealed eight differentially expressed proteins in the ovarian cancer cells and their paclitaxel-resistant sublines. Among them, mimitin and 14-3-3 ζ/δ were selected for further research. The effects of mimitin and 14-3-3 ζ/δ were explored using specific siRNA interference in ovarian cancer cell lines and immunohistochemistry in human tissue specimens. The downregulation of mimitin and 14-3-3 ζ/δ using specific siRNA in paclitaxel-resistant ovarian cancer cells led to an increase in the resistance index to paclitaxel. Multivariate analyses demonstrated that lower expression levels of the mimitin and 14-3-3 ζ/δ proteins were positively associated with shorter progression-free survival (PFS) and overall survival (OS) in patients with primary ovarian cancer (mimitin: PFS: P = 0.041, OS: P = 0.003; 14-3-3 ζ/δ: PFS: P = 0.031, OS: P = 0.011). Mimitin and 14-3-3 protein ζ/δ are potential markers of paclitaxel resistance and prognostic factors in ovarian cancer.

Indexed as

14-3-3 ProteinsAntineoplastic Agents, PhytogenicBiomarkers, TumorBlotting, WesternCell Line, TumorDisease-Free SurvivalDrug Resistance, NeoplasmElectrophoresis, Gel, Two-DimensionalFemaleHumansKaplan-Meier EstimateMitochondriaMitochondrial ProteinsMolecular ChaperonesOvarian NeoplasmsPaclitaxel14-3-3 ProteinsAntineoplastic Agents, PhytogenicBiomarkers, TumorMitochondrial ProteinsMolecular ChaperonesNDUFAF2 protein, humanPaclitaxelDrug resistanceliquid chromatography-hybrid linear ion trap Fourier-transform ion cyclotron resonance mass spectrometrymitochondria proteinsovarian cancerpaclitaxel

Identifiers

PMID26033570
PMCPMC4556398
OpenAlexW1570705442

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.