Evidence map›Paper›PMID 28501855›Full record

ArticleOncotarget2017

Extracellular pH is a biomarker enabling detection of breast cancer and liver cancer using CEST MRI.

Miaomiao Chen, Chaoying Chen, Zhiwei Shen, Xiaolei Zhang, Yanzi Chen, Fengfeng Lin, Xilun Ma, Caiyu Zhuang, Yifei Mao, Haochuan Gan and 3 more

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 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

45 citing papers in PubMed, 106 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Human liver CEST imaging at 7 T: Impact ofMagnetic resonance in medicine · 2025
    Article
  6. Resistance to neoadjuvant chemotherapy in breast cancers: a metabolic perspective.Journal of experimental & clinical cancer research : CR · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Free-breathing 3D CEST MRI of human liver at 3.0 T.Magnetic resonance in medicine · 2023
    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

13 authors at 3 institutions in 1 country.

Miaomiao ChenDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Chaoying ChenDepartment of Clinical Laboratory, The First Affiliated Hospital of Hunan Traditional Chinese Medical College, Zhuzhou 412000, China.
Zhiwei ShenDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Xiaolei ZhangDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Yanzi ChenDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Fengfeng LinDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Xilun MaDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Caiyu ZhuangDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Yifei MaoDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Haochuan GanDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Peidong ChenDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Xiaodan ZongDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Renhua WuDepartment of Medical Imaging, The Second Affiliated Hospital, Medical College of Shantou University, Shantou 515041, China.
Second Affiliated Hospital of Shantou University Medical College · CNShantou University · CNHunan Academy of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular pH (pHe) decrease is associated with tumor growth, invasion, metastasis, and chemoresistance, which can be detected by chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI). Here, we demonstrated that ioversol CEST MRI can be exploited to achieve pHe mapping of the liver cancer microenvironment. In in vitro studies, we firstly explored whether ioversol signal is pH-dependent, and calculated the function equation between the CEST effects of ioversol and pH values, in the range of 6.0 to 7.8, by a ratiometric method. Then we verified the feasibility of this technique and the equation in vivo by applying pHe imaging in an MMTV-Erbb2 transgenic mouse breast cancer model, which is often used in CEST pHe studies. Furthermore, in vivo ioversol CEST MRI, we were able to map relative pHe and differentiate between tumor and normal tissue in a McA-RH7777 rat hepatoma model. This suggests pHe may be a useful biomarker for human liver cancer.

Indexed as

Hydrogen-Ion ConcentrationAnimalsBiomarkersBreast NeoplasmsCell Line, TumorContrast MediaDisease Models, AnimalExtracellular SpaceFemaleLiver NeoplasmsMagnetic Resonance ImagingMiceMice, TransgenicPhantoms, ImagingRatsTriiodobenzoic AcidsBiomarkersContrast MediaioversolTriiodobenzoic Acidsbreast cancerCEST MRIioversolliver cancerpH imaging

Identifiers

PMID28501855
PMCPMC5542224
OpenAlexW2608873737

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.