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Record W7132896591

Mammary Lineage-dependent Homologous Recombination Repair and PARP Inhibitor Vulnerability

2020· dissertation· W7132896591 on OpenAlexaff
Hye‐Yeon Kim

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHomologous recombinationDNA repairPARP inhibitorGermlinePoly ADP ribose polymeraseBreast cancerMammary glandDNA damageMutation
DOInot available

Abstract

fetched live from OpenAlex

Deleterious germline mutations in the key homologous recombination (HR) repair genes, such as BRCA1/2, strikingly increase the lifetime risk for breast cancer, underscoring the importance of faithful double-strand break (DSB) repair in maintaining the genome integrity of mammary epithelial cells. It has long been assumed that all normal cells have the same capacity to engage high-fidelity HR and error-prone non-homologous end joining (NHEJ) to repair DSBs, and that the choice between these two DSB repair pathways are determined by the cell cycle. Here, we show that the two major mammary epithelial lineages, basal and luminal, are not equally equipped to resolve DSBs. Global proteomic analyses of primary mouse mammary epithelial subpopulations and enumeration of their DSB repair activities have revealed that HR is predominantly restricted to the luminal lineage, while NHEJ operates in all mammary epithelial cells. This intrinsic differential HR repair translates into a divergent sensitivity to poly(ADP-ribose) polymerase inhibitors (PARPi), selectively reducing basal clonogenicity while sparing luminal progenitors, in both the mouse and human, irrespective of BRCA mutation status. Furthermore, we generated proteome-defined lineage-specific signatures, referred to as basal or luminal progenitor identification (ID), that correlate to the PAM50 breast cancer subtypes and predict the PARPi response of triple-negative human breast cancer xenografts. Thus, mammary epithelial cell types underpin a new strategy for identifying PARPi responders. We further sought to potentiate the efficacy of PARPi by concurrently blocking progesterone receptor given its pro-tumorigenic role in the BRCA1/2-mutated carriers. This novel PARPi combination with a selective progesterone receptor modulator, ulipristal acetate (UA), abrogated clonogenicity of both lineages from primary, high-risk breast tissue specimens. Altogether, we demonstrate that mammary cell lineage is an unprecedented determinant of DSB repair pathway choice, and understanding cell lineage-restricted vulnerabilities can be leveraged to enhance intervention strategies for improved therapeutic outcomes in high-risk women.

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 score0.001
Threshold uncertainty score0.005

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.357
Teacher spread0.327 · 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
Published2020
Admission routes1
Has abstractyes

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