Cisplatin-Induced Plasticity Drives Cross-Resistance to CDK4/6 Inhibitors and Reveals Targetable Vulnerabilities Through HDAC Inhibition in Esophageal Squamous Cell Carcinoma.
Avalos-Moreno, M.; Vigato, A.; Moresi, F.; Japon-Ruiz, D.; Beck, B.; Bisteau, X.
Show abstract
Esophageal squamous cell carcinoma (ESCC) accounts for 90% of esophageal cancer cases worldwide and carries a poor prognosis, with overall survival below 20%. Chemotherapy remains the standard of care, yet acquired resistance is a critical barrier and the programs that establish and stabilize it are still poorly defined. Using an in vitro model of cisplatin resistance, we show that sustained platinum exposure does not drive a single, uniform resistant state but a continuum of adaptive transcriptional states. Most resistant clones presented a drug-tolerant persister (DTP)-like phenotype with stemness traits and slow-cycling behaviour. The DTP phenotype persisted after cisplatin withdrawal and was accompanied by markers of resistance, suggesting consolidation into a stable, acquired-resistance state. Unexpectedly, the effect of this reprogramming extended beyond cisplatin. Resistant clones displayed impaired cytostatic control and failed to suppress cell cycle programs upon CDK4/6 inhibition (CDK4/6i), revealing collateral cross-resistance. Multiomic profiling revealed an attenuation of the immune and inflammatory signaling expected from CDK4/6i, upregulation of immune-evasive markers and a dysregulated IFN pathway activation at baseline in cisplatin-resistant clones, reflecting an immune-evasive state consequent to cisplatin-induced reprogramming. A signature-based approach identified HDAC inhibitors as candidates for reversing resistance, and functional validation confirmed that HDACi combined with cisplatin fully restored parental-level sensitivity while also enhancing CDK4/6i efficacy, supporting epigenetic reprogramming as a strategy to counteract cross-resistance. Together, our findings define cisplatin resistance in ESCC as a reversible, epigenetically encoded and immune-evasive state, and provide a mechanistic rationale for HDACi-based combinations to restore sensitivity to both cisplatin and CDK4/6 inhibitors. Statement of SignificanceSustained cisplatin exposure drives esophageal squamous cell carcinoma toward a drug-tolerant persister-like, immune-evasive state that survives drug withdrawal and confers cross-resistance to CDK4/6 inhibition. HDAC inhibition reverses this state, restoring sensitivity to both agents and synergizing in chemotherapy-naive cells, supporting epigenetic intervention early in treatment.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- EZH2 synergizes with BRD4-NUT to drive NUT carcinoma growth through silencing of key tumor suppressor genes 96%
- Systematic analysis uncovers SYK dependency in NF1LoF melanoma cells 96%
- A targetable PREX2/RAC1/PI3Kβ signalling axis confers resistance to clinically relevant therapeutic approaches in melanoma 96%
Similar papers in this journal
Similar papers in this journal
- Decoding mechanism of action and susceptibility to drug candidates from integrated transcriptome and chromatin state 95%
- SDR enzymes oxidize specific lipidic alkynylcarbinols into cytotoxic protein-reactive species 95%
- Metabolic reprogramming of cancer cells by JMJD6-mediated pre-mRNA splicing is associated with therapeutic response to splicing inhibitor 95%
Similar papers in this journal
- Glutaminase as a metabolic target of choice to counter acquired resistance to Palbociclib by colorectal cancer cells 96%
- EWS::FLI1-DHX9 interaction promotes Ewing sarcoma sensitivity to DNA topoisomerase 1 poisons by altering R-loop metabolism 95%
- Mitochondrial structure and function adaptation in residual triple negative breast cancer cells surviving chemotherapy treatment 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.