Evidence map›Paper›PMID 38107829›Full record

ArticleTherapeutic advances in medical oncology2023

ER status conversion and subsequent treatment: an assessment of negative ER expression detected by 18F-FES PET in metastatic breast cancer patients with ER-positive primary tumors.

Shuhui You, Yizhao Xie, Mengjing Ji, Cheng Liu, Yannan Zhao, Chengcheng Gong, Shihui Hu, Yumeng Li, Zhongyi Yang, Biyun Wang

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05797987 (Negative Estrogen Receptor), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 29% 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.

NCT05797987 completednot on this map

Negative Estrogen Receptor (ER) Expression Assessed by 18F-fluoroestradiol Positron Emission Tomography/Computed Tomography (18F-FES PET/CT) in the Metastatic Breast Cancer (MBC) With ER-positive Primary Tumor

TypeobservationalSponsorFudan UniversityRan2022 to 2023Enrolled52ConditionsBreast Cancer
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. Review
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 1 institution in 1 country.

Shuhui YouDepartment of Breast and Urological Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID https://orcid.org/0009-0003-5002-7391
Yizhao XieDepartment of Breast and Urological Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Mengjing JiDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Cheng LiuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Yannan ZhaoDepartment of Breast and Urological Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Chengcheng GongDepartment of Breast and Urological Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Shihui HuDepartment of Breast and Urological Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yumeng LiDepartment of Breast and Urological Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhongyi YangDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Biyun WangDepartment of Breast and Urological Medical Oncology, Fudan University Shanghai Cancer Center, 130 Dongan Road, Xuhui District, Shanghai 200032, China.ORCID https://orcid.org/0000-0002-7829-1544
Shanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The 18F-fluoroestradiol positron emission tomography/computed tomography (18F-FES PET/CT) technique provides a convenient method to evaluate the overall estrogen receptor (ER) expression in metastatic breast cancer (MBC) patients. There are long debates on the characteristics and treatment strategy of patients with positive primary ER lesions but negative ER expression in metastatic disease. 18F-FES PET offers an opportunity to answer this question. Objectives: This study aimed to characterize the primary ER-positive patients with advanced-stage FES negativity and investigate the real-world treatment decisions made by physicians subsequently, and compare the efficacy between different regimens. Design: This observational cohort study was conducted at Fudan University Shanghai Cancer Center, enrolling breast cancer patients with ER-positive primary tumors who showed advanced-stage FES negativity. Methods: Descriptive statistics were used in clinicopathologic characteristics and compared with a chi-square test or Results: 16.6% (52/314) of patients with an ER-positive primary tumor had negative ER expression assessed by 18F-FES for MBC prior to receiving first-line systemic therapy, among whom adjuvant endocrine therapy was prevalently utilized (86.5%, 45/52). The rate of FES negativity in the advanced stage was negatively correlated with levels of ER expression of primary tumors. Chemotherapy (83.3%, 40/48) was the most common treatment strategy afterward, among which capecitabine monotherapy (62.5%, 25/40) was a dominant alternative. PFS was significantly prolonged with capecitabine alone Conclusion: Negative conversion of ER in MBC detected by 18F-FES occurred frequently. Patients with lower ER expression in the primary lesion were more likely to have negative ER expression in the metastasis. In real-world clinical practice, most physicians primarily opted for chemotherapy, with capecitabine monotherapy being a commonly selected regimen. Trial registration: ClinicalTrials.gov identifier: NCT05797987.

Indexed as

18F-fluoroestradiol positron emission tomography/computed tomographybreast cancerdiagnosisER heterogeneitytreatment pattern

Identifiers

PMID38107829
PMCPMC10725097
OpenAlexW4389834627

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.