Evidence map›Paper›PMID 41726913›Full record

ArticlebioRxiv : the preprint server for biology2026

Metabolic plasticity of sphingolipids governs cancer cell fitness in acidic tumor ecosystems.

Raafat Chalar, Naheel Khatri, Jowana Obeid, Emma Downey, Joon-Hyun Song, Yujie Xiao, Saiful Samad, Andrew Chen, Andrew Resnick, Khadijeh Karbalaei and 9 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

19 authors.

Raafat ChalarStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Naheel KhatriStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Jowana ObeidStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Emma DowneyStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Joon-Hyun SongStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Yujie XiaoStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Saiful SamadStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Andrew ChenStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Andrew ResnickStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Khadijeh KarbalaeiStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Janet J AllopennaStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.
Cungui MaoStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0002-1330-1887
Christopher ClarkeStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0002-4855-522X
Fabiola VelazquezDepartment of Pathology, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, 11794, USA.
Chiara LubertoDepartment of Physiology and Biophysics, Stony Brook University, Stony Brook, NY, 11794, USA.ORCID 0000-0002-0171-2398
Bo ChenDepartment of Pathology, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, 11794, USA.
Daniel CanalBiological Mass Spectrometry Center, Stony Brook University, Stony Brook, NY, 11794, USA.ORCID 0000-0002-9293-5123
Yusuf HannunStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0003-3349-3369
Mehdi DamaghiStony Brook Cancer Center, Stony Brook Medicine, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0002-7744-6161

Funding

Ecology and Evolution of Breast CarcinogenesisU01CA261841 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI DAMAGHI, MEHDI, SIQUEIRA SILVA, ARIOSTO S · 2021 to 2025
$3.0M
Modeling the role and regulation of reactive stroma in breast ductal carcinoma microinvasionsR01CA272601 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI DAMAGHI, MEHDI, REJNIAK, KATARZYNA ANNA · 2022 to 2025
$2.9M
NCI NIH HHS R01 CA272601NCI NIH HHS U01 CA261841
6 · The paper itself

Abstract

Cancer cells must adapt to harsh tumor microenvironments, including acidic stress, to survive and thrive. Understanding how cancer cells achieve this adaptation can uncover new biomarkers and therapeutic strategies. In this study, we investigated the spatial metabolic phenotypic heterogeneity of breast cancer cells in acidic habitats using spatial multi-omics approaches on 3D spheroids. We found that cancer cells dynamically regulate sphingolipid metabolism to fine-tune their cell state to cope with acidic selection pressures. Cancer cells evolve mechanisms to deal with initially accumulating toxic ceramides but later adapt to it by rerouting SL metabolic pathways to eliminate them. Using advanced MALDI image analysis, and SL inhibitors on patient derived organoids, we demonstrated that cancer cells can switch between metabolic routes when key pathways are blocked, showcasing remarkable cell state plasticity. These insights highlight the potential to target metabolic plasticity as a novel therapeutic strategy to disrupt cancer adaptation and evolution, offering new avenues for cancer treatment.

Indexed as

Acidic tumor microenvironmentLipidomicLipid phenotypeMALDI mass spectrometryMetabolic reprogrammingSpatial phenotypingSphingolipid signalingTumor ecology and evolution

Identifiers

PMID41726913
PMCPMC12918983

What OpenQuestion 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 OpenQuestion graph.