Evidence map›Paper›PMID 35568835›Full record

ArticleBMC cancer2022

Prognostic significance of different molecular typing methods and immune status based on RNA sequencing in HR-positive and HER2-negative early-stage breast cancer.

Xinyu Ren, Yu Song, Yanna Zhang, Huanwen Wu, Longyun Chen, Junyi Pang, Liangrui Zhou, Songjie Shen, Zhiyong Liang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Xinyu Ren *Department of Pathology, Molecular Pathology Research Centre, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No.1 Shuaifuyuan street, Dongcheng District, Beijing, China.
Yu Song *Department of Breast Surgery, Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, PekingBeijing, China.
Yanna Zhang *Department of Breast Surgery, Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, PekingBeijing, China.
Huanwen WuDepartment of Pathology, Molecular Pathology Research Centre, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No.1 Shuaifuyuan street, Dongcheng District, Beijing, China.
Longyun ChenDepartment of Pathology, Molecular Pathology Research Centre, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No.1 Shuaifuyuan street, Dongcheng District, Beijing, China.
Junyi PangDepartment of Pathology, Molecular Pathology Research Centre, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No.1 Shuaifuyuan street, Dongcheng District, Beijing, China.
Liangrui ZhouDepartment of Pathology, Molecular Pathology Research Centre, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No.1 Shuaifuyuan street, Dongcheng District, Beijing, China.
Songjie Shen *Department of Breast Surgery, Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, PekingBeijing, China. shensj@pumch.cn.
Zhiyong Liang *Department of Pathology, Molecular Pathology Research Centre, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No.1 Shuaifuyuan street, Dongcheng District, Beijing, China. liangzhiyong1220@yahoo.com.
Peking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

CAMS Innovation Fund for Medical Sciences under Grant 2019-I2M-2-002Central Universities under Grant 3332018020National Key R&D Program of China under Grant 2016YFC1302601Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences Grant 2019XK320033
6 · The paper itself

Abstract

backgroundThis study was conducted to evaluate the prognostic significance of different molecular typing methods and immune status based on RNA sequencing (RNA-seq) in hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative (HR + /HER2-) early-stage breast cancer and develop a modified immunohistochemistry (IHC)-based surrogate for intrinsic subtype analysis.

methodsThe gene expression profiles of samples from 87 HR + /HER2- early-stage breast cancer patients were evaluated using the RNA-seq of Oncotype Dx recurrence score (RS), PAM50 risk of recurrence (ROR), and immune score. Intrinsic tumor subtypes were determined using both PAM50- and IHC-based detection of estrogen receptor, progesterone receptor, Ki-67, epidermal growth factor receptor, and cytokeratins 14 and 5/6. Prognostic variables were analyzed through Cox regression analysis of disease-free survival (DFS) and distant metastasis-free survival (DMFS).

resultsSurvival analysis showed that ROR better predicted recurrence and distant metastasis compared to RS (for DFS: ROR, P = 0.000; RS, P = 0.027; for DMFS, ROR, P = 0.047; RS, P = 0.621). Patients with HR + /HER2- early-stage breast cancer was classified into the luminal A, luminal B, HER2-enriched, and basal-like subtypes by PAM50. Basal-like subgroups showed the shortest DFS and DMFS. A modified IHC-based surrogate for intrinsic subtype analysis improved the concordance with PAM50 from 66.7% to 73.6%, particularly for basal-like subtype identification. High level of TILs and high expression of immune genes predicted poor prognosis. Multi-factor Cox analysis showed that IHC-based basal-like markers were the only independent factors affecting DMFS.

conclusionsPrognosis is better evaluated by PAM50 ROR in early-stage HR + /HER2- breast cancer and significantly differs among intrinsic subtypes. The modified IHC-based subtype can improve the basal-like subtype identification of PAM50. High immunity status and IHC-based basal-like markers are negative prognostic factors.

Indexed as

Breast NeoplasmsBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesFemaleHumansMolecular TypingPrognosisReceptors, ProgesteroneSequence Analysis, RNABiomarkers, TumorErb-b2 Receptor Tyrosine KinasesReceptors, ProgesteroneHR-positive/HER2-negative breast cancerImmune rescoreIntrinsic subtypeRisk of recurrenceTumor-infiltrating lymphocyte

Identifiers

PMID35568835
PMCPMC9107692
OpenAlexW4280552353

What OpenQuestion holds

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LicenceCC BY
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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.