Evidence map›Paper›PMID 41749823›Full record

ArticleCancers2026

DeepGene-BC: Deep Learning-Based Breast Cancer Subtype Prediction via Somatic Point Mutation Profiles.

Pengfei Hou, Liangjie Liu, Yijia Duan, Shanshan Yin, Wenqian Yan, Chongchen Pang, Yang Yan, Sabreena Aziz, Mika Torhola, Henna Kujanen and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pengfei HouBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China.
Liangjie LiuBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China.
Yijia DuanBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China.
Shanshan YinBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China.
Wenqian YanBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China.
Chongchen PangBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China.
Yang YanBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China.
Sabreena AzizBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China.ORCID 0009-0009-8187-479X
Mika TorholaAtostek Oy, Hermiankatu 3 A, 33720 Tampere, Finland.
Henna KujanenAtostek Oy, Hermiankatu 3 A, 33720 Tampere, Finland.
Klaus FörgerAtostek Oy, Hermiankatu 3 A, 33720 Tampere, Finland.
Hui ShiDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200025, China.
Guang HeBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China.
Yi ShiBio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai 200030, China.ORCID 0000-0002-5279-3239

Funding

Business Finland for project Machine Learning and 3D Genome based Cancer Early Prediction and Personalized Neoantigen Identification ToAtostekOyInnovation Program of Shanghai Municipal Education Commission 2023ZKZD16Key Technology Breakthrough Program of Ningbo Sci-Tech Innovation YONGJIANG 2035 2024Z221National Key Research and Development Program 2022YFE0125300National Key Research and Development Program 2024YFC2707002National Natural Science Foundation of China 82071262Shanghai Jiao Tong University Medicine-Engineering Fund YG2022QN111Shanghai Jiao Tong University Medicine-Engineering Fund YG2022ZD024Shanghai Jiao Tong University Medicine-Engineering Fund YG2023LC14Shanghai Jiao Tong University Medicine-Engineering Fund YG2023ZD26Shanghai Jiao Tong University Medicine-Engineering Fund YG2024QNA59Shanghai Jiao Tong University Medicine-Engineering Fund YG2025QNA46Shanghai Jiao Tong University Medicine-Engineering Fund YG2026LC14Shanghai Municipal Science and Technology Major Project 2017SHZDZX01Shanghai Municipal Science and Technology Major Project 20JC1418600
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

breast cancercancer subtypedeep learningsomatic mutation

Identifiers

PMID41749823
PMCPMC12939208

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.