Evidence map›Paper›PMID 36810001›Full record

ArticleBMC cancer2023

Distribution, dynamic evolution, and clinical outcomes of patients with advanced breast cancer according to HER2 expression.

Qin Shi, Jing Yu, Deyue Liu, Fang Ren, Jiayi Wu, Kunwei Shen

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. HER2-Low Breast Cancer: Now and in the Future.Cancer research and treatment · 2024
    Review
  9. Review
  10. Review
  11. 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

6 authors at 4 institutions in 1 country.

Qin Shi *Department of Breast and Thyroid Surgery, Hangzhou Linping District Maternal and child Care Hospital, Hangzhou, China.
Jing Yu *Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China.
Deyue Liu *Department of Breast and Thyroid Surgery, Shanghai General Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Fang RenDepartment of Breast and Thyroid Surgery, Hangzhou Linping District Maternal and child Care Hospital, Hangzhou, China.
Jiayi WuDepartment of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China. pinkscorpio@163.com.
Kunwei ShenDepartment of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China. kwshen@medmail.com.cn.
Hangzhou Women’s Hospital · CNRuijin Hospital · CNShanghai First People's Hospital · CNShanghai Jiao Tong University · CN

Funding

National Natural Science Foundation of China 81772797Science and Technology Commission of Shanghai Municipality 14411950200Shanghai Municipal Health and Family Planning Commission 201840323
6 · The paper itself

Abstract

backgroundNovel antibody‒drug conjugates (ADC) have shown great efficacy in HER2-low advanced breast cancer. However, the clinical features of HER2-low disease still need to be clarified. The current study aims to evaluate the distribution and dynamic change in HER2 expression in patients with disease recurrence and the clinical outcome of those patients.

methodsPatients with pathologically diagnosed relapsed breast cancer between 2009 and 2018 were included. Samples were considered HER2-zero when the immunohistochemistry (IHC) score was 0, HER2-low when the IHC score was 1 + or 2 + with negative fluorescence in situ hybridization (FISH) results, and HER2-positive when the IHC score was 3 + or the FISH results were positive. Breast cancer-specific survival (BCSS) was compared among the three HER2 groups. Changes in HER2 status were also evaluated.

resultsA total of 247 patients were included. Among recurrent tumors, 53 (21.5%) were HER2-zero, 127 (51.4%) were HER2-low, and 67 (27.1%) were HER2-positive. The HER2-low subtype represented 68.1% of the HR-positive breast cancer group and 31.3% of the HR-negative group (P < 0.001). This three-group classification of HER2 status was prognostic in advanced breast cancer (P = 0.0011), with HER2-positive patients having the best clinical outcome after disease recurrence (P = 0.024), while only marginal survival advantages were observed in HER2-low patients versus HER2-zero patients (P = 0.051). In the subgroup analysis, the survival difference was observed only in patients with HR-negative recurrent tumors (P = 0.0006) or with distant metastasis (P = 0.0037). The overall discordance rate of HER2 status between primary and recurrent tumors was 38.1%, with 25 (49.0%) primary HER2-zero patients and 19 (26.8%) HER2-positive patients shifting to HER2-low at recurrence.

conclusionNearly half of the advanced breast cancer patients had HER2-low disease, which indicates a poorer prognosis than HER2-positive disease and marginally better outcomes than HER2-zero disease. During disease progression, one-fifth of tumors convert to HER2-low entities, and the corresponding patients may benefit from ADC treatment.

Indexed as

Biomarkers, TumorErb-b2 Receptor Tyrosine KinasesHumansIn Situ Hybridization, FluorescenceNeoplasm Recurrence, LocalPrognosisBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesBreast cancerClinical outcomeDisease recurrenceEvolutionHER2-low

Identifiers

PMID36810001
PMCPMC9942407
OpenAlexW4321457608

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.