Evidence map›Paper›PMID 38751677›Full record

ReviewTranslational breast cancer research : a journal focusing on translational research in breast cancer2024

Expert consensus on the clinical application of immunotherapy in breast cancer: 2024.

Kun Wang, Jin Yang, Biyun Wang, Qiang Liu, Xiaojia Wang, Yongmei Yin, Haibo Wang, Shusen Wang, Chunfang Hao, Xiaopeng Hao and 4 more

Abstract readReview
In one paragraph

Review in Translational breast cancer research : a journal focusing on translational research in breast cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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  5. Review
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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

14 authors.

Kun Wang *Department of Breast Cancer, Cancer Hospital of Guangdong Provincial People's Hospital, Guangzhou, China.
Jin Yang *Department of Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Biyun Wang *Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Qiang LiuBreast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaojia WangDepartment of Breast Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China.
Yongmei YinDepartment of Oncology, Jiangsu Provincial Peoples Hospital, Nanjing, China.
Haibo WangDepartment of Breast Surgery, Affiliated Hospital of Qingdao University School of Medicine, Qingdao, China.
Shusen WangDepartment of Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Chunfang HaoDepartment of Oncology, Tumor Hospital of Tianjin, Tianjin, China.
Xiaopeng HaoDepartment of General Surgery, The First Medical Center of PLA General Hospital, Beijing, China.
Yueping LiuDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Zefei JiangSenior Department of Oncology, Fifth Medical Center of PLA General Hospital, Beijing, China.
Chinese Society of Clinical Oncology Breast Cancer Committee*
Chinese Society of Clinical Oncology Breast Cancer Committee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Significant progress has been made in immunotherapy of breast cancer (BC) with the approval of multiple immune checkpoint inhibitors (ICIs), particularly in early and metastatic triple-negative breast cancer (TNBC) settings. Most guidelines have recommended immune therapy as the important approach in BC, yet several critical aspects still require further clarification, including proper patient selection, treatment duration, optimized chemotherapy partner, predictive biomarkers, and specific considerations for Chinese patients. Methods: (I) Establishment of expert group: the expert group consists of 32 experts from departments such as medical oncology, breast surgery, and pathology; (II) literature search: mainly conducted in English databases (such as PubMed, Embase, and Cochrane Library) and Chinese databases (such as China National Knowledge Infrastructure, China Biology Medicine disc, and Wanfang Database), with a search cutoff date of April 23, 2024; (III) assessment of evidence quality and recommendation strength: evidence quality and recommendation opinions are graded based on the evidence category and recommendation level of the Chinese Society of Clinical Oncology (CSCO) guidelines; (IV) consensus formulation: on the March 2, 2024, through online consensus meeting, the consensus content is thoroughly discussed, and opinions from all experts are solicited. Results: The consensus meeting has resulted in 15 detailed recommendations, providing clearer guidance on the clinical application of immunotherapy in BC management. The core suggestions are as follows: for early-stage II-III TNBC and metastatic TNBC (mTNBC) in the first-line setting, programmed cell death protein 1 (PD-1) inhibitors can be considered. However, for hormone receptor-positive/human epidermal growth factor receptor 2-negative BC (HR Conclusions: This consensus provides a comprehensive overview of BC immunotherapy, including immunotherapy for early-stage BC and late-stage BC, immune related adverse event (irAE) management, biomarkers of immunotherapy, and future directions. The consensus consolidates these deliberations into 15 evidence-based recommendations, serving as a practical guide for clinicians to more scientifically and systematically manage the clinical application of immunotherapy.

Indexed as

Breast cancer (BC)expert consensusimmunotherapy

Identifiers

PMID38751677
PMCPMC11094404

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.