Evidence map›Paper›PMID 42268797›Full record

ArticleCancer research communications2026

Tumor CTR1 Expression and Systemic Copper Dynamics Converge on a Copper Axis in High-Grade Triple-Negative Breast Cancer.

Vinit Shanbhag, Nikita S Gudekar, Muhammad Yasir, Kristyn Conrad, Samuel Anakpeba-Dinguyella, Parshad Suthar, Praveen Rao, Michael Petris, Linda T Vahdat, Christos Papageorgiou

Abstract read
In one paragraph

Article in Cancer research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Vinit ShanbhagDepartment of Biochemistry, Life Sciences Center, University of Missouri, Columbia, Missouri.ORCID 0000-0002-6188-7421
Nikita S GudekarDepartment of Biochemistry, Life Sciences Center, University of Missouri, Columbia, Missouri.ORCID 0009-0001-8574-4804
Muhammad YasirEllis Fischel Cancer Center, University of Missouri, Columbia, Missouri.ORCID 0009-0006-0734-6268
Kristyn ConradDepartment of Biochemistry, Life Sciences Center, University of Missouri, Columbia, Missouri.ORCID 0000-0002-0685-9006
Samuel Anakpeba-DinguyellaDepartment of Biochemistry, Life Sciences Center, University of Missouri, Columbia, Missouri.ORCID 0009-0004-2198-9732
Parshad SutharDepartment of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, Columbia, Missouri.ORCID 0009-0004-6853-0128
Praveen RaoDepartment of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, Columbia, Missouri.ORCID 0000-0002-1859-0438
Michael PetrisDepartment of Biochemistry, Life Sciences Center, University of Missouri, Columbia, Missouri.ORCID 0000-0003-4162-1674
Linda T VahdatDartmouth Cancer Center, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.ORCID 0000-0002-3522-7382
Christos PapageorgiouDartmouth Cancer Center, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.ORCID 0009-0004-3520-4668

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
National Institutes of Health (NIH) 5R01CA262664NCI NIH HHS P30 CA023108Office of Research, Graduate Studies and Economic Development, University of Missouri (Office of Research, University of Missouri)
6 · The paper itself

Abstract

Copper (Cu) metabolism represents a unique vulnerability in cancer. CTR1 (SLC31A1) mediates cellular Cu uptake, but its relationship with tumor aggressiveness and neoadjuvant response is unclear. We tested whether tumor SLC31A1 expression and systemic Cu dynamics reflect a coordinated tumor-systemic Cu axis in breast cancer. Baseline tumor SLC31A1 gene expression was analyzed in a retrospective cohort of 1,632 neoadjuvant-treated patients with breast cancer, who were subsequently stratified by pathologic response across molecular subtypes and tumor grades. These findings were extended to an exploratory prospective neoadjuvant cohort, in which ΔCu, defined as the posttreatment to pretreatment change in serum Cu, was assessed by subtype, grade, and response, whereas baseline serum Cu was examined by tumor size. Baseline SLC31A1 expression was higher in triple-negative breast cancer (TNBC) nonresponders than in responders (P = 0.0021), particularly in grade 3 tumors (P = 0.0035), with no differences in luminal subtypes. In the prospective cohort, ΔCu changes were most pronounced in TNBC and were strongly grade-dependent: all grade 3 TNBCs showed posttherapy Cu elevation, whereas all grade 2 TNBCs showed decreases (P = 0.034). The relapsed TNBC nonresponder exhibited persistently positive ΔCu, whereas nonresponders from other subtypes showed near-zero or negative changes (P = 0.011). Baseline serum Cu was higher in patients with smaller (T1) versus larger (T2-T3) tumors (P = 0.033). Elevated baseline tumor SLC31A1 expression and posttherapy systemic Cu increases converge in high-grade TNBC, indicating a potential coordinated Cu mobilization program linked to aggressive biology and neoadjuvant resistance. SIGNIFICANCE: SLC31A1 expression was evaluated in a large retrospective cohort, providing robust evidence that elevated baseline SLC31A1 in high-grade TNBC associates with nonresponse. ΔCu dynamics were assessed in a prospective cohort. Despite the limited size, the consistent ΔCu increase in grade 3 TNBC and a relapsing nonresponder supports a biologically meaningful resistance signal. Together, these datasets define a coordinated Cu axis warranting prospective validation and early Cu-targeted intervention.

Indexed as

Cation Transport ProteinsCopperTriple Negative Breast NeoplasmsAdultAgedCopper Transporter 1FemaleGene Expression Regulation, NeoplasticHumansMiddle AgedNeoadjuvant TherapyNeoplasm GradingProspective StudiesRetrospective StudiesCation Transport ProteinsCopperCopper Transporter 1SLC31A1 protein, human

Identifiers

PMID42268797
PMCPMC13316778

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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.