Evidence map›Paper›PMID 41896553›Full record

ArticleNPJ breast cancer2026

Disparities in breast cancer incidence and survival by age, race, and molecular subtype in US women.

Lin Wang, Zhihao Wan, Vikramjit Dhillon, Xin Wang, Zheng Yin, Chika F Ezeana, Polly Niravath, Akshjot Puri, Kai Sun, Jenny Chang and 1 more

Abstract read
In one paragraph

Article in NPJ breast cancer, 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

11 authors.

Lin Wang *Department of System Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA.
Zhihao Wan *Department of System Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA.
Vikramjit DhillonHouston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA.
Xin WangDepartment of System Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA.
Zheng YinDepartment of System Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA.
Chika F EzeanaDepartment of System Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA.
Polly NiravathHouston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA.
Akshjot PuriHouston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA.
Kai SunHouston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA.
Jenny ChangHouston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA.
Stephen T C WongDepartment of System Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston Methodist Hospital, Houston, TX, USA. STWong@houstonmethodist.org.

Funding

Convergent AI for Precise Breast Cancer Risk AssessmentR01CA251710 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI WONG, STEPHEN TC · 2020 to 2024
$2.5M
NCI NIH HHS R01 CA251710NIH HHS R01CA251710
6 · The paper itself

Abstract

Using SEER datasets spanning nearly five decades, we identified a striking longitudinal shift in the breast cancer mortality burden from older to younger women, revealing an evolving risk landscape that warrant challenges to prevailing assumptions about age-related vulnerability. Leveraging contemporary data (2010-2022), we examined how molecular subtype, race, and age intersect jointly to shape survival disparities. As expected, young Black women with triple-negative breast cancer (HR-/HER2-) exhibited significantly elevated hazard ratios, underscoring their urgent need for targeted interventions and prevention strategies. Importantly, we also uncovered disproportionately high mortality risks among Asian women: those under 50 years experienced poorer outcomes for triple-negative breast cancer. These findings suggest that distinct biological, hormonal, and sociodemographic factors may contribute to heterogeneity in cancer progression and survival across populations. In addition, demographic analyses revealed that Asian and Hispanic women have steadily increased in proportional representation, surpassing Black patients recently, underscoring critical population shifts in the breast cancer burden. Together, these results not only broaden current understanding of how age, ancestry, and molecular subtype converge to drive disparities, but also underscore the urgent need to embed these dimensions into personalized prevention, precision diagnostics, and tailored therapeutic strategies to reduce inequities in breast cancer outcomes.

Identifiers

PMID41896553
PMCPMC13415841

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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.