Evidence map›Paper›PMID 40524253›Full record

ArticleCancer & metabolism2025

Cancer-associated fibroblasts promote drug resistance in ALK-driven lung adenocarcinoma cells by upregulating lipid biosynthesis.

Ann-Kathrin Daum, Lisa Schlicker, Marc A Schneider, Thomas Muley, Ursula Klingmüller, Almut Schulze, Michael Thomas, Petros Christopoulos, Holger Sültmann

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  11. Development of an ALK-positive Non-Small-Cell Lung Cancer in Vitro Tumor 3D Culture Model for Therapeutic Screening.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society
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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

9 authors.

Ann-Kathrin DaumDivision of Cancer Genome Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Lisa SchlickerDivision of Tumor Metabolism and Microenvironment, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Marc A SchneiderGerman Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany.
Thomas MuleyGerman Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany.
Ursula KlingmüllerGerman Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany.
Almut SchulzeDivision of Tumor Metabolism and Microenvironment, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Michael ThomasGerman Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany.
Petros ChristopoulosGerman Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany.
Holger SültmannDivision of Cancer Genome Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany. h.sueltmann@dkfz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTargeted therapy interventions using tyrosine kinase inhibitors (TKIs) provide encouraging treatment responses in patients with ALK-rearranged lung adenocarcinomas, yet resistance occurs almost inevitably. In addition to tumor cell-intrinsic resistance mechanisms, accumulating evidence suggests that cancer-associated fibroblasts (CAFs) within the tumor microenvironment contribute to therapy resistance. This study aimed to investigate CAF-driven molecular networks that shape the therapeutic susceptibility of ALK-driven lung adenocarcinoma cells.

methodsThree-dimensional (3D) spheroid co-cultures comprising ALK-rearranged lung adenocarcinoma cells and CAFs were utilized to model the tumor microenvironment. Single-cell RNA sequencing was performed to uncover transcriptional differences between TKI-treated homotypic and heterotypic spheroids. Functional assays assessed the effects of CAF-conditioned medium and CAF-secreted factors on tumor cell survival, proliferation, lipid metabolism, and downstream AKT signaling. The therapeutic potential of targeting metabolic vulnerabilities was evaluated using pharmacological inhibition of lipid metabolism and by ferroptosis induction.

resultsCAFs significantly diminished the apoptotic response of lung tumor cells to ALK inhibitors while simultaneously enhancing their proliferative capacity. Single-cell RNA sequencing identified lipogenesis-associated genes as a key transcriptional difference between TKI-treated homotypic and heterotypic lung tumor spheroids. CAF-conditioned medium and the CAF-secreted factors HGF and NRG1 activated AKT signaling in 3D-cultured ALK-rearranged lung tumor cells, leading to increased de novo lipogenesis and suppression of lipid peroxidation. These metabolic adaptations were critical for promoting tumor cell survival and fostering therapy resistance. Notably, both dual inhibition of ALK and the lipid-regulatory factor SREBP-1, as well as co-treatment with ferroptosis inducers such as erastin or RSL3, effectively disrupted the CAF-driven metabolic-supportive niche and restored sensitivity of resistant lung tumor spheroids to ALK inhibition.

conclusionsThis study highlights a critical role for CAFs in mediating resistance to ALK-TKIs by reprogramming lipid metabolism in ALK-rearranged lung cancer cells. It suggests that targeting these metabolic vulnerabilities, particularly through inhibition of lipid metabolism or induction of ferroptosis, could provide a novel therapeutic approach to overcome resistance and improve patient outcomes.

Indexed as

3D cell cultureCancer-associated fibroblastsEML4-ALKLipid metabolismLung adenocarcinomaTherapy resistance

Identifiers

PMID40524253
PMCPMC12168422

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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.