Evidence map›Paper›PMID 41269430›Full record

ArticleBreast cancer research and treatment2025

Worse survival despite indolent features for triple-negative invasive lobular carcinoma: a Swedish nationwide registry-based study.

Jenny Nyqvist-Streng, Chaido Chamalidou, Anikó Kovacs, Toshima Z Parris

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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. Cited by 1 paper.

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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

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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

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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

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5 · Who and what money

Authors and funding

4 authors.

Jenny Nyqvist-StrengRegion Västra Götaland, Department of Surgery, Skaraborg Hospital, Skövde, Sweden. jenny.nyqvist@gu.se.
Chaido ChamalidouDepartment of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Anikó KovacsRegion Västra Götaland, Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Toshima Z ParrisDepartment of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate differences in clinical outcomes, treatments received, recurrence, and sociodemographic characteristics in patients with triple-negative breast cancer (TNBC) classified as invasive lobular carcinoma (TNBC-ILC) or invasive carcinoma of no special type (TNBC-NST).

methodsUsing national registry data, we conducted a retrospective, population-based cohort study of 6449 women diagnosed with primary TNBC (stratified by histological subtype) in Sweden (2007-2021). Clinical and treatment data were analyzed using descriptive statistics, logistic regression, machine learning (Boruta/XGBoost), and Cox proportional hazards models adjusted for patient age, tumor size, grade, nodal status, comorbidities, and receipt of adjuvant chemotherapy (ACT).

resultsTNBC-ILC accounted for 2.7% of all TNBC cases and affected older patients (median age 70 vs 62 years). Compared to TNBC-NST, TNBC-ILC had lower Ki-67, fewer high-grade tumors, higher T stage, and greater socioeconomic vulnerability. Machine learning identified age and post-operative tumor size as key predictive features of TNBC-ILC. ACT was administered to 40% of TNBC-ILC versus 59% of TNBC-NST cases (P < 0.001), with a survival benefit observed only in TNBC-NST. TNBC-ILC patients aged 50-64 years were less likely to receive ACT. Despite lower proliferative activity, TNBC-ILC was associated with worse overall (OS; adj-HR 1.39, 95% CI 1.04-1.86) and disease-specific survival (DSS; adj-HR 1.98, 95% CI 1.41-2.79), particularly in patients ≥ 50 years of age. TNBC-ILC patients ≥ 75 years had the poorest 5-year survival (DSS 55%; OS 42%).

conclusionsTNBC-ILC is a distinct subgroup with older age, lower grade and Ki-67, undertreatment, and poorer survival, emphasizing the need for age- and subtype-specific treatment strategies.

Indexed as

Carcinoma, LobularTriple Negative Breast NeoplasmsAdultAgedAged, 80 and overChemotherapy, AdjuvantFemaleHumansMiddle AgedNeoplasm GradingNeoplasm InvasivenessNeoplasm StagingPrognosisRegistriesRetrospective StudiesSwedenHistological subtypeInvasive breast carcinomaMachine learningMarital statusMetastatic patternPrognosisSociodemographic factorsSurvival outcomes

Identifiers

PMID41269430
PMCPMC12638390

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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.