Evidence map›Paper›PMID 33420250›Full record

ArticleScientific reports2021

A novel immune prognostic index for stratification of high-risk patients with early breast cancer.

Hannah Lee, Mi Jeong Kwon, Beom-Mo Koo, Hee Geon Park, Jinil Han, Young Kee Shin

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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  7. Interleukine-2 serum level in breast cancer patients.Caspian journal of internal medicine · 2023
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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

6 authors at 3 institutions in 1 country.

Hannah LeeInterdisciplinary Program in Bioinformatics, College of Natural Sciences, Seoul National University, Seoul, 41566, Republic of Korea.
Mi Jeong KwonCollege of Pharmacy, Kyungpook National University, Daegu, 41566, Republic of Korea.
Beom-Mo KooDepartment of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea.
Hee Geon ParkDepartment of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea.
Jinil HanGencurix, Inc., Seoul, 08394, Republic of Korea.
Young Kee ShinInterdisciplinary Program in Bioinformatics, College of Natural Sciences, Seoul National University, Seoul, 41566, Republic of Korea. ykeeshin@snu.ac.kr.
Seoul National University · KRGeneMatrix (South Korea) · KRKyungpook National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic value of current multigene assays for breast cancer is limited to hormone receptor-positive, human epidermal growth factor receptor 2-negative early breast cancer. Despite the prognostic significance of immune response-related genes in breast cancer, immune gene signatures have not been incorporated into most multigene assays. Here, using public gene expression microarray datasets, we classified breast cancer patients into three risk groups according to clinical risk and proliferation risk. We then developed the immune prognostic index based on expression of five immune response-related genes (TRAT1, IL2RB, CTLA4, IGHM and IL21R) and lymph node status to predict the risk of recurrence in the clinical and proliferation high-risk (CPH) group. The 10-year probability of disease-free survival (DFS) or distant metastasis-free survival (DMFS) of patients classified as high risk according to the immune prognostic index was significantly lower than those of patients classified as intermediate or low risk. Multivariate analysis revealed that the index is an independent prognostic factor for DFS or DMFS. Moreover, the C-index revealed that it is superior to clinicopathological variables for predicting prognosis. Its prognostic significance was also validated in independent datasets. The immune prognostic index identified low-risk patients among patients classified as CPH, regardless of the molecular subtype of breast cancer, and may overcome the limitations of current multigene assays.

Indexed as

Adaptor Proteins, Signal TransducingAdultAgedBiomarkers, TumorBreast NeoplasmsCTLA-4 AntigenDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHeavy Chain DiseaseHumansImmunoglobulin mu-ChainsInterleukin-21 Receptor alpha SubunitInterleukin-2 Receptor beta SubunitMembrane ProteinsMiddle AgedAdaptor Proteins, Signal TransducingBiomarkers, TumorCTLA-4 AntigenCTLA4 protein, humanIGHM protein, humanIL21R protein, humanIL2RB protein, humanImmunoglobulin mu-ChainsInterleukin-21 Receptor alpha SubunitInterleukin-2 Receptor beta SubunitMembrane ProteinsTRAT1 protein, human

Identifiers

PMID33420250
PMCPMC7794340
OpenAlexW3118920561

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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.