Evidence map›Paper›PMID 28212580›Full record

ArticleOncotarget2017

Network pharmacology-based and clinically relevant prediction of the active ingredients and potential targets of Chinese herbs in metastatic breast cancer patients.

Yu Mao, Jian Hao, Zi-Qi Jin, Yang-Yang Niu, Xue Yang, Dan Liu, Rui Cao, Xiong-Zhi Wu

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 64 citations in OpenAlex.

  1. Frontiers in pharmacology · 2024
    Article
  2. Article
  3. Review
  4. Article
  5. Bibliometric Analysis of Network Pharmacology in Traditional Chinese Medicine.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Journal of healthcare engineering · 2021
    Article
  12. Review
  13. Article
  14. International journal of molecular sciences · 2020
    Article
  15. Review
  16. Chemopreventive and Therapeutic Efficacy ofMolecules (Basel, Switzerland) · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 3 institutions in 1 country.

Yu MaoTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China.
Jian HaoTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China.
Zi-Qi JinTianjin Medical University, Tianjin, 300070, China.
Yang-Yang NiuTianjin Children's Hospital, Tianjin, 300134, China.
Xue YangTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China.
Dan LiuTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, 300060, China.
Rui CaoZhong-Shan-Men Inpatient Department, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Xiong-Zhi WuZhong-Shan-Men Inpatient Department, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Tianjin Medical University Cancer Institute and Hospital · CNTianjin Children's Hospital · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese Herbal Medicine (CHM) plays a significant role in breast cancer treatment. We conduct the study to ascertain the relative molecular targets of effective Chinese herbs in treating stage IV breast cancer.Survival benefit of CHM was verified by Kaplan-Meier method and Cox regression analysis. A bivariate correlation analysis was used to find and establish the effect of herbs in complex CHM formulas. A network pharmacological approach was adopted to explore the potential mechanisms of CHM.Patients in the CHM group had a median survival time of 55 months, which was longer than the 23 months of patients in the non-CHM group. Cox regression analysis indicated that CHM was an independent protective factor. Correlation analysis showed that 10 herbs were strongly correlated with favorable survival outcomes (P<0.01). Bioinformatics analyses suggested that the 10 herbs might achieve anti-breast cancer activity primarily through inhibiting HSP90, ERα and TOP-II related pathways.

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsCombined Modality TherapyDrug CompoundingDrugs, Chinese HerbalFemaleHumansKaplan-Meier EstimateMedicine, Chinese TraditionalMiddle AgedNeoplasm MetastasisNeoplasm StagingPrognosisProportional Hazards ModelsBiomarkers, TumorDrugs, Chinese HerbalChinese herbal medicineestrogen receptorHSP90metastatic breast cancernetwork pharmacology

Identifiers

PMID28212580
PMCPMC5432314
OpenAlexW2588666440

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.