Evidence map›Paper›PMID 29026159›Full record

ArticleScientific reports2017

Spectrum of spontaneous photon emission as a promising biophysical indicator for breast cancer research.

Xiaolei Zhao, Meina Yang, Yong Wang, Jingxiang Pang, Eduard Van Wijk, Yanli Liu, Hua Fan, Liewei Zhang, Jinxiang Han

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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. Article
  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

9 authors.

Xiaolei ZhaoDepartment of Biochemistry and Molecular Biology, Shandong University, Jinan, 250012, China.
Meina YangShandong Medicinal Biotechnology Center, Shandong Academy of Medical Sciences, Jinan, 250062, China.
Yong WangDepartment of Neurosurgery, Shandong Cancer Hospital, Jinan, 250117, China.
Jingxiang PangShandong Medicinal Biotechnology Center, Shandong Academy of Medical Sciences, Jinan, 250062, China.
Eduard Van WijkSino-Dutch Centre for Preventive and Personalized Medicine/Centre for Photonics of Living Systems, Leiden University, Leiden, Netherlands.
Yanli LiuDepartment of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China.
Hua FanShandong Medicinal Biotechnology Center, Shandong Academy of Medical Sciences, Jinan, 250062, China.
Liewei ZhangShandong University of Traditional Chinese Medicine, Jinan, 250355, China.
Jinxiang HanDepartment of Biochemistry and Molecular Biology, Shandong University, Jinan, 250012, China. samsjxhyx@163.com.ORCID 0000-0003-0227-9757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigated the spectral characteristics of Spontaneous Photon Emission (SPE) from the body surface of a human breast cancer-bearing nude mice model during the overall growth process of breast cancers. By comparing and analyzing the data, we found that there was a striking difference between tumor mice and healthy controls in the spectral distribution of SPE from the body surface of lesion site, even when the morphological changes at the lesion site were not obvious. The spectral distribution of SPE from the healthy site of the tumor mice also differed from that of the healthy controls as the breast cancer developed to a certain stage. In addition, the difference in spectrum was related with different growth states of tumors. Interestingly, there was a positive correlation between the spectral ratio (610-630/395-455 nm) and the logarithm of the tumor volume for both the lesion site (R

Indexed as

PhotonsAnimalsBreast NeoplasmsFemaleMiceMice, Nude

Identifiers

PMID29026159
PMCPMC5638945

What OpenQuestion holds

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Registered trials

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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.