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Data from ARID1A Mutation May Define an Immunologically Active Subgroup in Patients with Microsatellite Stable Colorectal Cancer

2023· preprint· en· W4361954848 on OpenAlexaff
Amir Mehrvarz Sarshekeh, Jumanah Alshenaifi, Jason Roszik, Ganiraju C. Manyam, Shailesh Advani, Riham Katkhuda, Anuj Verma, Michael Hon‐Wah Lam, Jason Willis, John Paul Shen, Jeffrey S. Morris, Jennifer S. Davis, Jonathan M. Loree, Hey Min Lee, Jaffer A. Ajani, Dipen M. Maru, Michael J. Overman, Scott Kopetz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsBC Cancer Agency
FundersUniversity of Texas MD Anderson Cancer CenterNational Institutes of Health
KeywordsARID1AColorectal cancerMicrosatellite instabilityDNA mismatch repairFrameshift mutationMSH2CancerCancer researchMLH1BiologyMedicineMutationMolecular biologyGeneGeneticsMicrosatellite

Abstract

fetched live from OpenAlex

<div>AbstractPurpose:<p>AT-rich interactive domain 1A (<i>ARID1A</i>) is commonly mutated in colorectal cancer, frequently resulting in truncation and loss of protein expression. ARID1A recruits MSH2 for mismatch repair during DNA replication. ARID1A deficiency promotes hypermutability and immune activation in preclinical models, but its role in patients with colorectal cancer is being explored.</p>Experimental Design:<p>The DNA sequencing and gene expression profiling of patients with colorectal cancer were extracted from The Cancer Genome Atlas and MD Anderson Cancer Center databases, with validation utilizing external databases, and correlation between ARID1A and immunologic features. IHC for T-cell markers was performed on a separate cohort of patients.</p>Results:<p>Twenty-eight of 417 patients with microsatellite stable (MSS) colorectal cancer (6.7%) had <i>ARID1A</i> mutation. Among 58 genes most commonly mutated in colorectal cancer, <i>ARID1A</i> mutation had the highest increase with frameshift mutation rates in MSS cases (8-fold, <i>P</i> < 0.001). In MSS, <i>ARID1A</i> mutation was enriched in immune subtype (CMS1) and had a strong correlation with IFNγ expression (Δ<i>z</i> score +1.91, <i>P</i> < 0.001). Compared with <i>ARID1A</i> wild-type, statistically significant higher expression for key checkpoint genes (e.g., PD-L1, CTLA4, and PDCD1) and gene sets (e.g., antigen presentation, cytotoxic T-cell function, and immune checkpoints) was observed in mutant cases. This was validated by unsupervised differential expression of genes related to immune response and further confirmed by higher infiltration of T cells in IHC of tumors with <i>ARID1A</i> mutation (<i>P</i> = 0.01).</p>Conclusions:<p>The immunogenicity of <i>ARID1A</i>-mutant cases is likely due to an increased level of neoantigens resulting from increased tumor mutational burden and frameshift mutations. Tumors with <i>ARID1A</i> mutation may be more susceptible to immune therapy–based treatment strategies and should be recognized as a unique molecular subgroup in future immune therapy trials.</p></div>

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.034
GPT teacher head0.291
Teacher spread0.257 · 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 designObservational
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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