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Record W4409690532 · doi:10.1158/1538-7445.am2025-2147

Abstract 2147: Radiosensitization via ATM inhibition in small cell lung cancer leads to increased immunogenicity and tumor infiltration

2025· article· en· W4409690532 on OpenAlexaff
Bell Xi Wu, Xiaozhuo Ran, Mary Shi, Lifang Song, Vivek M. Philip, Ming‐Sound Tsao, Benjamin H. Lok

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Research Studies
Canadian institutionsUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsImmunogenicityMedicineInfiltration (HVAC)Cancer researchLung cancerCancerOncologyPathologyImmune systemInternal medicineImmunology

Abstract

fetched live from OpenAlex

Abstract Purpose: Small cell lung cancer (SCLC) is an aggressive form of lung cancer with a dismal survival. PD-1/PD-L1 inhibitors have improved survival outcomes, but many patients fail to respond possibly due to a lack of T cell infiltration. Ionizing radiation (IR) activates innate regulatory genes through micronuclei formation and cGAS-STING upregulation. A previous in vitro dropout CRISPR screen has identified ATM as a top-ranked determinant of radiosensitization in SCLC cell-lines. Evaluation of ATM inhibition (ATMi) in combination with IR increases tumour T cell immunogenicity through a cGAS-STING-mediated mechanism. Methods and Materials: We investigated the combination of ATMi (AZD1390) and IR in SCLC cell-lines SBC5 and SHP77, to determine the synergism of cGAS-STING activation via immunofluorescence. Chemokine and cytokine expression following combination treatment was probed by qPCR and surface expression of PDL1 and HLA class I was quantified through flow cytometry. In the SCLC syngeneic mice, we evaluated the efficacy and immune-sensitizing effects of a triple combination of ATMi, RT and anti-PDL1 (ATMi+IR+ICB). Results: ATMi plus IR (ATMi+IR) lead to a significant (p < 0.001) increase of micronuclei frequency and cGAS micronuclei translocation relative to RT alone. ATMi+IR also resulted in a significant increase in CCL5 and CXCL10 expression compared to IR alone in SBC5 (FC = 6 and 1.5, respectively) and SHP77 (FC = 1.5 and 2, respectively). This phenotype was partially abrogated in cGAS knockout in SBC5 and H1048 cell-lines. Surface PDL1 increased by a FC of 3 in H82 in ATMi+IR relative to IR, while no change in surface HLA was observed. Within the KP1 syngeneic SCLC murine model, ATMi+IR+ICB led to a significant increase (p-value < 0.001) in T cell (CD45+CD3+) infiltration at day 12 relative to ATMi+IR. Interestingly, ATMi+IR had no change in T cell infiltration relative to both IR alone and IR plus anti-PDL1. Although an increase in T cell infiltration was observed, there was no additional benefit in tumour control of ATMi+IR+ICB compared to ATMi+IR. Conclusions: In this study, we demonstrated pharmacological inhibition of ATM enhanced SCLC chemokine expression in a cGAS-STING-dependent manner. We further validated this phenotype in a syngeneic SCLC murine model. Despite this marked improvement in SCLC T cell infiltration no further benefits was observed. Further studies are required to understand this lack of benefit. Citation Format: Bell Wu, Xiaozhuo Ran, Mary Shi, Lifang Song, Vivek Philip, Ming-Sound Tsao, Benjamin Lok. Radiosensitization via ATM inhibition in small cell lung cancer leads to increased immunogenicity and tumor infiltration [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2147.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.398
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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