Evidence map›Paper›PMID 40148706›Full record

ArticleBreast cancer research and treatment2025

Improved breast cancer diagnosis using a CA15-3 capture antibody-lectin sandwich assay.

S Nikseresht, L K Shewell, C J Day, M P Jennings, H Chittoory, A E McCart Reed, P T Simpson, S R Lakhani, R Nabiee, M Moore and 3 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2025. 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

13 authors.

S NiksereshtINOVIQ Ltd, Notting Hill, 23 Normanby Road, VIC, Australia.
L K ShewellInstitute for Glycomics, Griffith University, Gold Coast, QLD, Australia.
C J DayInstitute for Glycomics, Griffith University, Gold Coast, QLD, Australia.
M P JenningsInstitute for Glycomics, Griffith University, Gold Coast, QLD, Australia.
H ChittooryCentre for Clinical Research, The University of Queensland, Brisbane, 23 Normanby Road, QLD, Australia.
A E McCart ReedCentre for Clinical Research, The University of Queensland, Brisbane, 23 Normanby Road, QLD, Australia.
P T SimpsonCentre for Clinical Research, The University of Queensland, Brisbane, 23 Normanby Road, QLD, Australia.
S R LakhaniCentre for Clinical Research, The University of Queensland, Brisbane, 23 Normanby Road, QLD, Australia.
R NabieeResearchDx, Irvine, CA, USA.
M MooreResearchDx, Irvine, CA, USA.
R KhanabdaliINOVIQ Ltd, Notting Hill, 23 Normanby Road, VIC, Australia.
L M HinchINOVIQ Ltd, Notting Hill, 23 Normanby Road, VIC, Australia.
G E RiceINOVIQ Ltd, Notting Hill, 23 Normanby Road, VIC, Australia. g.rice@uq.edu.au.ORCID https://orcid.org/0000-0001-7177-0246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to test the hypothesis that an enzyme-linked antibody-lectin sandwich assay for a glycovariant of CA15-3 can deliver better diagnostic performance, defined by classification accuracy, sensitivity and specificity, for breast cancer compared to an existing FDA-approved CA15-3 test.

methodsA genetically engineered lectin (SubB2M) that specifically binds N-glycolylneuraminic acid (Neu5Gc) was used as a detection reagent in a CA15-3 capture antibody-lectin sandwich (neuCA15-3) assay. In a case: control cohort equivalence study the classification accuracy for the neuCA15-3 assay was determined and compared to an FDA-approved CA15-3 IVD test (Elecsys CA15-3 II, Roche Diagnostics).

resultsClassification accuracy and AUC for neuCA15-3 were 81% and 0.886 ± 0.015 (standard error, n = 567) and for Elecsys CA15-3 II, 55% and 0.642 ± 0.023 (n = 558), respectively. At a threshold cut-off serum concentration of 23.6 units/ml, overall breast cancer classification accuracy of the neuCA15-3 was 81% (compared to 55% for the comparator assay, p < 0.001). At 95% specificity, the sensitivity of the neuCA15-3 assay was 69.5%, significantly greater than the comparator assay (11.9%, p < 0.001). neuCA15-3 concentrations did not vary significantly with breast cancer receptor subtype or comorbidities tested.

conclusionsThe diagnostic performance of neuCA15-3 was substantially improved by specifically targeting both a CA15-3 protein epitope and a pan-cancer glycan (Neu5Gc) epitope (the specific binding target of SubB2M). The reporter signal generated depends on the colocalization of the cancer antigen protein epitope and the aberrant sialylation of the protein, thus increasing the assay specificity. The presence of multiple Neu5Gc lectin-binding sites per glycoprotein molecule increases signal generation and assay sensitivity. The inclusion of additional cancer biomarkers in a multivariate index assay format may further increase diagnostic performance for breast cancer.

Indexed as

Biomarkers, TumorBreast NeoplasmsLectinsMucin-1AdultAgedCase-Control StudiesFemaleHumansMiddle AgedNeuraminic AcidsSensitivity and SpecificityBiomarkers, TumorLectinsMucin-1Neuraminic AcidsN-glycolylneuraminic acidBreast cancerCA15-3Glycolyl neuraminic acidSubB2M

Identifiers

PMID40148706
PMCPMC12031999

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.