Evidence map›Paper›PMID 40312746›Full record

ArticleCancer & metabolism2025

Proteomic and lipidomic analysis of low-density lipoprotein identifies potential biomarkers of early estrogen receptor-positive breast cancer.

Yamama Abu Mohsen, Rachel Twitto-Greenberg, Anna Cohen, Gil S Leichner, Lidor Mahler, Hofit Cohen, Yehuda Kamari, Aviv Shaish, Ayelet Harari, Alicia Leikin-Frenkel and 6 more

Abstract read
In one paragraph

Article in Cancer & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

16 authors.

Yamama Abu Mohsen *The Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Rachel Twitto-Greenberg *The Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Anna CohenThe Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Gil S LeichnerThe Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Lidor MahlerThe Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Hofit CohenThe Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Yehuda KamariThe Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Aviv ShaishThe Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Ayelet HarariThe Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Alicia Leikin-FrenkelThe Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Efrat Glick SaarThe Wohl Institute for Translational Research, Sheba Medical Center, Ramat Gan, Israel.
Tamar GeigerWeizmann Institute of Science, Rehovot, Israel.
Sergey MalitskyWeizmann Institute of Science, Rehovot, Israel.
Maxim ItkinWeizmann Institute of Science, Rehovot, Israel.
Dror HaratsThe Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel.
Rom KeshetThe Bert W. Strassburger Metabolic Center for Preventive Medicine, Sheba Medical Center, Ramat Gan, Israel. rom.keshet@sheba.health.gov.il.

Funding

This research was funded by the Israel Cancer Association; by Earlier.org- Friends for an earlier breast cancer test; by the Neuhar foundation; by the Elrov foundation; and by the Kronitz Family Physician Scientist Program. Israel Cancer Association grant no. 20220060; Earlier.org grant no. 28407
6 · The paper itself

Abstract

Estrogen receptor (ER)-positive breast cancer (BC) is a prevalent and fatal cancer among women, and there is a need to identify molecules involved in the disease pathophysiology which could also serve as biomarkers for early detection. Detection of cancer markers in whole plasma produces excessive information, and identifying important markers involved in cancer progression is challenging. We identified a BC-specific low-density lipoprotein (LDL) particle isolated by ultracentrifugation from the plasma of ER-positive BC patients. This LDL has an aberrant proteome and lipidome, significantly different from that of LDL from healthy women, including a high association with the pro-tumor chemokines CXCL4 and CXCL7, and an enrichment with the lipid subclasses phosphatidylethanolamine, ceramide, triglycerides, lysophosphatidylcholine, phosphatidylserine, phosphatidic acid, and sphingomyelin. In contrast, phosphatidylinositol species were significantly less abundant in LDL from tumor patients than in control. Moreover, BC-associated LDL has a distinct effect on macrophage phenotype, inducing an increased gene expression of IL1β, IL8 and CD206 and decreased gene expression of TNFα, a gene signature characteristic of tumor-associated macrophages (TAMs). This suggests that this formerly unrecognized form of LDL may represent LDL particles that are recruited by the tumor microenvironment to support tumor progression by inducing discrete subsets of TAMs. In conclusion, these data offer BC-associated LDL as an early biomarker detection platform for ER-positive BC. Furthermore, LDL-associated proteins and lipids that promote BC progression may also serve in the future as novel targets for BC therapies.

Indexed as

Breast cancerLipidomicsLow density lipoproteinMacrophagesProteomics

Identifiers

PMID40312746
PMCPMC12046955

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.