ArticleCell & bioscience2023
The genomic signature of resistance to platinum-containing neoadjuvant therapy based on single-cell data.
Article in Cell & bioscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Genetic Variants Associated With Response to Platinum-Based Chemotherapy in Non-Small Cell Lung Cancer Patients: A Field Synopsis and Meta-Analysis.British journal of biomedical science · 2024Pooled it
- Genetic polymorphisms and platinum-induced hematological toxicity: a systematic review.Frontiers in pharmacology · 2024Pooled it
- Targeting UXS1-Dependent Glucuronate Detoxification Potentiates Metformin's Anti-Tumor Efficacy in Lung Adenocarcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Desmoglein 2 is associated with dihydroartemisinin resistance in HeLa cervical cancer cells: a potential link to the PI3K/AKT signaling pathway.Discover oncology · 2026Article
- VDAC1 as prognostic marker and therapeutic target in lung adenocarcinoma: a study integrating bioinformatics and experimental validation.Discover oncology · 2025Article
- Targeting dual-specificity phosphatase 23 to overcome chemoresistance and stem cell-like behavior in non-small cell lung cancer cells.Scientific reports · 2025Article
- Progress in the Application of Single-Cell Sequencing in Neoadjuvant Therapy for Esophageal Cancer.Cureus · 2025Review
- Integration of the bulk transcriptome and single-cell transcriptome reveals efferocytosis features in lung adenocarcinoma prognosis and immunotherapy by combining deep learning.Cancer cell international · 2024Article
- Exploring the prognosis value, immune correlation, and drug responsiveness prediction of homeobox C6 (HOXC6) in lung adenocarcinoma.Discover oncology · 2024Article
- A comprehensive investigation of PRMT5 in the prognosis and ion channel features of lung cancer.Frontiers in oncology · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundNeoadjuvant chemotherapy (NACT) becomes the first-line option for advanced tumors, while patients who are not sensitive to it may not benefit. Therefore, it is important to screen patients suitable for NACT.
methodsSingle-cell data of lung adenocarcinoma (LUAD) and esophageal squamous carcinoma (ESCC) before and after cisplatin-containing (CDDP) NACT and cisplatin IC50 data of tumor cell lines were analyzed to establish a CDDP neoadjuvant chemotherapy score (NCS). Differential analysis, GO, KEGG, GSVA and logistic regression models were performed by R. Survival analysis were applied to public databases. siRNA knockdown in A549, PC9, TE1 cell lines, qRT-PCR, western-blot, cck8 and EdU experiments were used for further verification in vitro.
results485 genes were expressed differentially in tumor cells before and after neoadjuvant treatment for LUAD and ESCC. After combining the CDDP-associated genes, 12 genes, CAV2, PHLDA1, DUSP23, VDAC3, DSG2, SPINT2, SPATS2L, IGFBP3, CD9, ALCAM, PRSS23, PERP, were obtained and formed the NCS score. The higher the score, the more sensitive the patients were to CDDP-NACT. The NCS divided LUAD and ESCC into two groups. Based on differentially expressed genes, a model was constructed to predict the high and low NCS. CAV2, PHLDA1, ALCAM, CD9, IGBP3 and VDAC3 were significantly associated with prognosis. Finally, we demonstrated that the knockdown of CAV2, PHLDA1 and VDAC3 in A549, PC9 and TE1 significantly increased the sensitivity to cisplatin.
conclusionsNCS scores and related predictive models for CDDP-NACT were developed and validated to assist in selecting patients who might benefit from it.
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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.