Evidence map›Paper›PMID 38030755›Full record

ArticleScientific reports2023

Advancing breast cancer diagnosis with a near-infrared fluorescence imaging smart sensor for estrogen/progesterone receptor detection.

Gong Zhang, Min Dong, Xiulei Yao, Yuke Xia, Han Yu, Yu Zhou, Chao Lian, Yunlei Zhang, Yiyao Cui

RetractedOpen access · goldAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Gong Zhang *Department of Thyroid and Breast Surgery, Department of Ultrasound, Central Laboratory, Translational Medicine Research Center, The Affiliated JiangNing Hospital of NanJing Medical University, Nanjing, 211100, China.
Min Dong *Department of Comparative Medicine, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, 210002, China.
Xiulei YaoDepartment of Thyroid and Breast Surgery, Department of Ultrasound, Central Laboratory, Translational Medicine Research Center, The Affiliated JiangNing Hospital of NanJing Medical University, Nanjing, 211100, China.
Yuke XiaDepartment of Thyroid and Breast Surgery, Department of Ultrasound, Central Laboratory, Translational Medicine Research Center, The Affiliated JiangNing Hospital of NanJing Medical University, Nanjing, 211100, China.
Han YuDepartment of Thyroid and Breast Surgery, Department of Ultrasound, Central Laboratory, Translational Medicine Research Center, The Affiliated JiangNing Hospital of NanJing Medical University, Nanjing, 211100, China.
Yu ZhouDepartment of Thyroid and Breast Surgery, Department of Ultrasound, Central Laboratory, Translational Medicine Research Center, The Affiliated JiangNing Hospital of NanJing Medical University, Nanjing, 211100, China.
Chao LianDepartment of Thyroid and Breast Surgery, Department of Ultrasound, Central Laboratory, Translational Medicine Research Center, The Affiliated JiangNing Hospital of NanJing Medical University, Nanjing, 211100, China.
Yunlei ZhangDepartment of Thyroid and Breast Surgery, Department of Ultrasound, Central Laboratory, Translational Medicine Research Center, The Affiliated JiangNing Hospital of NanJing Medical University, Nanjing, 211100, China. yunleizhang@njmu.edu.cn.
Yiyao CuiDepartment of Thyroid and Breast Surgery, Department of Ultrasound, Central Laboratory, Translational Medicine Research Center, The Affiliated JiangNing Hospital of NanJing Medical University, Nanjing, 211100, China. cyytt2000@sina.com.
Nanjing General Hospital of Nanjing Military Command · CNNanjing Medical University · CN

Funding

National Natural Science Foundation of China 81971726Natural science Foundation of Jiangsu Province BK20170142
6 · The paper itself

Abstract

Molecular-genetic imaging has greatly advanced clinical diagnosis and prognosis monitoring. However, the specific visualization of intracellular proteins such as estrogen receptor (ER) and progesterone receptor (PR) remains an elusive goal. Here, we highlight a novel method for selectively detecting ER/PR positive tumors using genetically engineered responsive elements. Our study demonstrates that the double responsive elements of ER/PR exhibit the most sensitivity to the steroid receptors in breast cancers. By utilizing a cationic polymer vector, we constructed a responsive element-fluorescence protein system that can selectively image ER/PR positive breast cancers in murine models under a near-infrared laser. This non-invasive imaging achieved high-resolution detection without death or serious anaphylactic activity in the animals. Our findings suggest that the reporter system consisting of steroid receptor response elements and near-infrared proteins provides a practical system for identifying biomarkers and advancing cancer diagnosis and therapy.

Indexed as

NeoplasmsReceptors, ProgesteroneAnimalsEstrogensMiceOptical ImagingPrognosisEstrogensReceptors, Progesterone

Identifiers

PMID38030755
PMCPMC10687265
OpenAlexW4389153516

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.