Evidence map›Paper›PMID 42053688›Full record

ArticleDiscover oncology2026

Dynamic changes in peripheral B and NK cells reflect treatment response in breast cancer subtypes.

Hao Wang, Wei Du, Zichen Xu, Jifeng Sun, Bochang Wang, Zhao Yan, Hairong Wang, Jingyi Li, Zhongsheng Tong, Chunfang Hao and 1 more

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Hao Wang *Breast Medical Oncology Department, Tianjin Cancer Hospital Airport Hospital, Tianjin, China.
Wei Du *Radiology Diagnosis Department, Tianjin Cancer Hospital Airport Hospital, Tianjin, China.
Zichen XuBreast Oncology Department, Tianjin Cancer Hospital Airport Hospital, Tianjin, China.
Jifeng SunRadiation Oncology Department, Tianjin Cancer Hospital Airport Hospital, Tianjin, China.
Bochang WangBreast Oncology Department, Tianjin Cancer Hospital Airport Hospital, Tianjin, China.
Zhao YanFirst Department of Medical Oncology, Second Peoplès Hospital of Hengshui City, Hengshui, Hebei, China.
Hairong WangDepartment of Science and Education, Tianjin Cancer Hospital Airport Hospital, Tianjin, China.
Jingyi LiSchool of Clinical Medicine, Capital Medical University, Beijing, China.
Zhongsheng TongBreast Medical Oncology Department, Tianjin Cancer Hospital Airport Hospital, Tianjin, China. tongzhongsheng@tjmuch.com.
Chunfang HaoBreast Medical Oncology Department, Tianjin Cancer Hospital Airport Hospital, Tianjin, China. haochunfang@tjmuch.com.
Hao JinClinical Research Management Department, Tianjin Cancer Hospital Airport Hospital, Tianjin, China. haojin1031@126.com.

Funding

Tianjin Binhai New Area Health Research Project No. 2024BWKZ09
6 · The paper itself

Abstract

backgroundThe immune microenvironment plays a critical role in breast cancer progression and therapeutic response. Among circulating immune cells, B cells and natural killer (NK) cells have shown distinct and potentially opposing roles in tumor dynamics. However, whether dynamic changes in peripheral blood B- and NK-cell percentages are associated with treatment response across molecular subtypes of breast cancer remains unclear.

methodsPeripheral blood samples were collected from breast cancer patients before and after standardized subtype-guided therapy (chemotherapy, anti-HER2 therapy, and/or endocrine therapy according to clinical guidelines). Flow cytometry was performed to quantify the percentage of B cells and NK cells within CD45 + lymphocytes. Spearman's rank correlation was used to evaluate associations between B and NK cell percentages. Paired comparisons were performed using the Wilcoxon signed-rank test. Treatment efficacy was defined as objective response rate (complete response + partial response, CR + PR) according to RECIST criteria. Patients with decreased B cell percentage and increased NK cell percentage after treatment were defined as the B-NK group.

resultsSubtype A (-- group) exhibited significantly higher B cells percentages and lower NK cells percentages compared with other subtypes (P < 0.05). A significant negative correlation between B and NK cell percentages was observed in overall cohort and in most subtypes. In subtype A, B cell percentage significantly decreased after treatment (P < 0.05), whereas NK cell percentage showed variable changes. Patients classified into the B-NK group tended to have a higher objective response rate compared with non-B-NK patients across subtypes.

conclusionsPeripheral blood B and NK cell percentages exhibit dynamic and partially coordinated changes during treatment. A pattern characterized by decreased B cell percentage and increased NK cell percentage may be associated with treatment response. These findings are exploratory and hypothesis-generating, and further validation in prospective, well characterized cohorts is required before potential clinical application.

Indexed as

B cellsBreast cancerImmune biomarkersMolecular subtypesNK cellsTreatment efficacy

Identifiers

PMID42053688
PMCPMC13272849

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LicenceCC BY-NC-ND
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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.