Evidence map›Paper›PMID 35300617›Full record

ArticleBMC cancer2022

Peri-tumoural spatial distribution of lipid composition and tubule formation in breast cancer.

Kwok-Shing Chan, Sai Man Cheung, Nicholas Senn, Ehab Husain, Yazan Masannat, Steven Heys, Jiabao He

Abstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Kwok-Shing Chan *Institute of Medical Sciences, School of Medicine, University of Aberdeen, Aberdeen, UK.
Sai Man Cheung *Institute of Medical Sciences, School of Medicine, University of Aberdeen, Aberdeen, UK. g.cheung@abdn.ac.uk.
Nicholas SennInstitute of Medical Sciences, School of Medicine, University of Aberdeen, Aberdeen, UK.
Ehab HusainPathology Department, Aberdeen Royal Infirmary, Aberdeen, UK.
Yazan MasannatBreast Unit, Aberdeen Royal Infirmary, Aberdeen, UK.
Steven HeysBreast Unit, Aberdeen Royal Infirmary, Aberdeen, UK.
Jiabao HeInstitute of Medical Sciences, School of Medicine, University of Aberdeen, Aberdeen, UK.

Funding

Cancer Research UK 28312Cancer Research UK C68628/A28312
6 · The paper itself

Abstract

backgroundResponse guided treatment in breast cancer is highly desirable, but the effectiveness is only established based on residual cellularity from histopathological analysis after surgery. Tubule formation, a key component of grading score, is directly associated with cellularity, with significant implications on prognosis. Peri-tumoural lipid composition, a potential marker, can be rapidly mapped across the entire breast using novel method of chemical shift-encoded imaging, enabling the quantification of spatial distribution. We hypothesise that peri-tumoural spatial distribution of lipid composition is sensitive to tumour cellular differentiation and proliferative activity.

methodsTwenty whole tumour specimens freshly excised from patients with invasive ductal carcinoma (9 Score 2 and 11 Score 3 in tubule formation) were scanned on a 3 T clinical scanner (Achieva TX, Philips Healthcare). Quantitative lipid composition maps were acquired for polyunsaturated, monounsaturated, and saturated fatty acids (PUFA, MUFA, SFA). The peri-tumoural spatial distribution (mean, skewness, entropy and kurtosis) of each lipid constituent were then computed. The proliferative activity marker Ki-67 and tumour-infiltrating lymphocytes (TILs) were assessed histologically.

resultsFor MUFA, there were significant differences between groups in mean (p = 0.0119), skewness (p = 0.0116), entropy (p = 0.0223), kurtosis (p = 0.0381), and correlations against Ki-67 in mean (ρ = -0.5414), skewness (ρ = 0.6045) and entropy (ρ = 0.6677), and TILs in mean (ρ = -0.4621). For SFA, there were significant differences between groups in mean (p = 0.0329) and skewness (p = 0.0111), and correlation against Ki-67 in mean (ρ = 0.5910). For PUFA, there was no significant difference in mean, skewness, entropy or kurtosis between the groups.

conclusionsThere was an association between peri-tumoural spatial distribution of lipid composition with tumour cellular differentiation and proliferation. Peri-tumoural lipid composition imaging might have potential in non-invasive quantitative assessment of patients with breast cancer for treatment planning and monitoring.

Indexed as

AdultAgedBreastBreast NeoplasmsCross-Sectional StudiesEntropyFatty AcidsFemaleHumansKi-67 AntigenLymphocytes, Tumor-InfiltratingMagnetic Resonance ImagingMiddle AgedFatty AcidsKi-67 AntigenEntropyHeterogeneityKurtosisMonounsaturated fatty acids (MUFA)Skewness

Identifiers

PMID35300617
PMCPMC8928628

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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.