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Abstract B054: Immunological control by PARP inhibitors for successful immunotherapy in metastatic ovarian carcinoma

2023· article· en· W4389241566 on OpenAlexaboutno aff
Peter Holíček, Irena Moserová, Sandra Oršulić, Romana Mikyšková, Michal Hensler, Lenka Kašíková, Tereza Láníčková, Ondrej Novotny, Milan Reiniš, Jana Drozenová, Aleš Ryška, Lukáš Rob, Michael J. Halaška, David Cibula, Radek Špíšek, Jitka Fučíková

Bibliographic record

VenueCancer Immunology Research · 2023
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsnot available
Fundersnot available
KeywordsCancer researchImmunotherapyCytotoxic T cellDNA repairDNA damageCancerImmunologyBiologyOvarian cancerImmune systemMedicineInternal medicineDNAIn vitroGenetics

Abstract

fetched live from OpenAlex

Abstract Epithelial ovarian carcinoma (EOC) is among the top five causes of cancer-related death in women. Most women with EOC achieve indeed complete remission after primary or interval cytoreductive surgery combined with chemotherapy based on a platinum-taxane doublet. Homologous recombination (HR) defects imposed by germline or somatic BRCA1 DNA repair-associated (BRCA1) or BRCA2 mutations are not only key determinants of platinum sensitivity in EOC patients but also provide a strong rationale for maintenance therapy based on poly(ADP-ribose) polymerase (PARP) inhibitors, which is generally associated with improved progression-free survival (PFS). Besides direct cytotoxic and cytostatic properties, PARPi have been shown to mediate multipronged immunostimulatory effects, largely reflecting their ability to inhibit DNA repair in malignant cells and indicating the possibility to synergy with immune-check point inhibitors (ICIs). Here, using multiparametric flow cytometry, multiplex immunostaining, single cells transcriptomics and functional studies in experimental syngeneic BR5-Akt mouse model and EOC tumor samples, we discuss PARPi immunomodulatory activity, with a specific focus on molecular and cellular pathways that can be harnessed to develop superior combinatorial regimens for clinical management. Thus, PARPi might enhance the mutational load of EOCs as consequence of unrepaired DNA damage and DAMPs exposure, favoring T cell infiltration, but also appear to drive robust type I IFN secretion downstream of cyclic GMP-AMP synthase and stimulator of IFN response cGAMP interactor 1 activation. In addition, the combination of PARPi with ICIs positively regulate the balance between adaptive anti-tumor immunity and innate myeloid components and significantly improve the cytotoxic T cell profile as shown in both experimental mice model and HGSOC tumor samples. We surmise that rationally designed combinations of PARPi and immunotherapeutic agents might be critical to unlock immunosuppression in the EOC microenvironment in support of clinical efficacy. Citation Format: Sarka Vosahlikova, Peter Holicek, Irena Moserova, Sandra Orsulic, Romana Mikyskova, Michal Hensler, Lenka Kasikova, Tereza Lanickova, Ondrej Novotny, Milan Reinis, Jana Drozenova, Ales Ryska, Lukas Rob, Michael J Halaska, David Cibula, Radek Spisek, Jitka Fucikova. Immunological control by PARP inhibitors for successful immunotherapy in metastatic ovarian carcinoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr B054.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.103
GPT teacher head0.433
Teacher spread0.330 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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