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Sztupinszki, Z.

Publications and source records attributed to Sztupinszki, Z..

10 recordsLinked to original sources

Identification of an ERCC2 mutation associated mutational signature of nucleotide excision repair deficiency in targeted panel sequencing data

Next generation sequencing based mutational signatures are frequently used to identify tumors with specific DNA repair deficiencies for targeted therapeutic strategies. Although mutational signatures are most commonly derived from whole exome (WES) or whole genome sequencing (WGS) data, more patients currently undergo tumor sequencing using more limited targeted panels that typically encompass several hundred cancer-associated genes. Identifying clinically relevant mutational signatures from targeted panel data requires new approaches capable of deriving signatures from the more limited sequencing data. Here, we derive and validate a panel sequencing-based composite mutational signature associated with nucleotide excision repair (NER) deficiency induced by inactivating ERCC2 mutations in bladder cancer. Using publicly available panel sequencing data, we find that ERCC2 wild type (WT) bladder cancer cases that have high levels of this mutational signature respond better to neoadjuvant platinum therapy and have improved overall survival compared to ERCC2 WT cases with low levels of the signature. We also find that other solid tumor types with ERCC2 mutations also show the characteristic mutational signature seen in NER-deficient ERCC2-mutant bladder cancers, suggesting a novel approach to therapeutically target these ERCC2-mutant solid tumors beyond bladder cancer.

bioinformatics↗

Zero-shot biological reasoning with open-weights large language models reproduces CRISPR screen based prediction of synthetic lethal interactions.

Identifying clinically relevant synthetic lethal interactions has great potential for uncovering novel therapeutic vulnerabilities in cancer. Current approaches rely on machine learning models that estimate probabilities of synthetic lethal interactions, without supplying explicit knowledge of the underlying biology and lack the human-readable interpretation leading to the prediction. Large Language Models (LLMs) represent a new class of tools capable of reasoning and leveraging extensive biological knowledge acquired from relevant literature during their pretraining. Here, we tested multiple open-weight LLMs for their ability to predict known and novel synthetic lethal interactions. We found that most of the tested models were better at reconstructing the results of three known genome-wide CRISPR knockout screens than random chance and non-LLM-based methods, and observed that their performance was related to the parameter-size of the model, and on average benefited little from additional pathway and genetic information apart from what they already possess when estimating the likelihood of a synthetic lethal relationship. After selecting the model that offered the best balance of predictive performance and computational efficiency for our use case (Qwen2.5-32B-Instruct, 0.715 AUROC), we performed an in silico screen of 398,277 gene pairs from 893 clinically relevant genes. Our goal was to highlight the potential of open-weights LLMs as scalable, context-aware prioritization tools for synthetic lethal interactions, and to lay the groundwork for predicting higher-order genetic interactions.

bioinformatics↗

Replicative stress in gastroesophageal adenocarcinoma is associated with chromosomal instability and sensitivity to DNA damage response inhibitors.

Gastroesophageal adenocarcinoma (GEA) is an aggressive, often lethal, malignancy that displays marked chromosomal instability (CIN). To understand adaptive responses that enable CIN, we analyzed paired normal, premalignant, and malignant gastric lesions from human specimens and a carcinogen-induced mouse model, observing activation of replication stress, DNA damage response (DDR), and cell cycle regulator p21 in neoplastic progression. In GEA cell lines, expression of DDR markers correlated with ploidy abnormalities, including high-level focal amplifications and whole-genome duplication (WGD). Moreover, high expression of DNA damage marker H2AX correlated with CIN, WGD, and inferior patient survival. By developing and implementing a composite diagnostic score that incorporates TP53 mutation status, ploidy abnormalities, and H2AX expression, among other genomic information, we can identify GEA cell lines with enhanced sensitivity to DDR pathway inhibitors targeting Chk1/2 and Wee1. Anti-tumor properties were further augmented in combination with irinotecan (SN38) but not gemcitabine chemotherapy. These results implicate specific DDR biomarkers and ploidy abnormalities as diagnostic proxy that may predict premalignant progression and response to DDR pathway inhibitors.

cancer biology↗

Nucleotide excision repair deficiency is a targetable therapeutic vulnerability in clear cell renal cell carcinoma.

PurposeDue to a demonstrated lack of DNA repair deficiencies, clear cell renal cell carcinoma (ccRCC) has not benefitted from targeted synthetic lethality-based therapies. We investigated whether nucleotide excision repair (NER) deficiency is present in an identifiable subset of ccRCC cases that would render those tumors sensitive to therapy targeting this specific DNA repair pathway aberration. Experimental DesignWe used functional assays that detect UV-induced 6-4 pyrimidine-pyrimidone photoproducts to quantify NER deficiency in ccRCC cell lines. We also measured sensitivity to irofulven, an experimental cancer therapeutic agent that specifically targets cells with inactivated transcription-coupled nucleotide excision repair (TC-NER). In order to detect NER deficiency in clinical biopsies, we assessed whole exome sequencing data for the presence of an NER deficiency associated mutational signature previously identified in ERCC2 mutant bladder cancer. ResultsFunctional assays showed NER deficiency in ccRCC cells. Irofulven sensitivity increased in some cell lines. Prostaglandin reductase 1 (PTGR1), which activates irofulven, was also associated with this sensitivity. Next generation sequencing data of the cell lines showed NER deficiency-associated mutational signatures. A significant subset of ccRCC patients had the same signature and high PTGR1 expression. ConclusionsccRCC cell line based analysis showed that NER deficiency is likely present in this cancer type. Approximately 10% of ccRCC patients in the TCGA cohort showed mutational signatures consistent with ERCC2 inactivation associated NER deficiency and also substantial levels of PTGR1 expression. These patients may be responsive to irofulven, a previously abandoned anticancer agent that has minimal activity in NER-proficient cells. Translational relevanceDNA repair deficiencies can be therapeutically targeted by synthetic lethal-based strategies in cancer. However, clear cell renal cell carcinoma (ccRCC) has not benefitted from this therapeutic approach due to a lack of evidence for the presence of specific DNA repair pathway deficiencies. Here, we demonstrate that ccRCC harbors a therapeutically targetable DNA repair pathway aberration, nucleotide excision repair (NER) deficiency. ccRCC cell lines displayed robust signs of NER deficiency as determined by functional assays and some of these cell lines also displayed NER deficiency induced mutational signatures. These cell lines are also sensitive to irofulven, an abandoned anticancer agent that creates DNA lesions which can only be repaired by the NER pathway. We estimate that up to 10% of ccRCC cases may respond to NER-directed therapy with irofulven based on NER deficiency associated mutational signatures and PTGR1 expression levels, which is an enzyme required to activate irofulven.

cancer biology↗

Diagnostic tool to identify and treat DNA repair deficient gastroesophageal adenocarcinomas

Background and aimsDNA repair deficiency is a common feature of cancer. Homologous recombination (HR) and nucleotide excision repair (NER) are the two most frequently disabled DNA repair pathways in solid tumors. HR deficient breast, ovarian, pancreatic and prostate cancers respond well to platinum chemotherapy and PARP inhibitors. However, the frequency of DNA repair pathway deficiency in gastric and esophageal adenocarcinoma (GEA) still lacks diagnostic and functional validation. Furthermore, whether DNA repair deficient GEA have enhanced responsiveness to platinum chemotherapy and sensitivity to PARP inhibitors is not well characterized. MethodsUsing whole exome and genome sequencing data, we measured various HR deficiency-associated mutational signatures in patient specimen of gastric, esophageal and colorectal cancer specimens and gastric cancer cell lines. Gold-standard immunofluorescence assays were used to confirm HR and NER deficiency in cancer cell lines. The relationship between PARP inhibitor treatment and tumor response was evaluated in patients with gastric cancer. Drug sensitivity was determined using standard in vitro cell culture assays. Single-cell RNA-sequencing was performed to evaluate gastric cancer response to commonly used chemotherapeutics. ResultsWe found that a significant subset of GEA, but very few colorectal tumors, show evidence of HR deficiency by mutational signature analysis (HRD score). Gastric cancer cell lines with high HRD mutational signature scores demonstrated functional HR deficiency by RAD51 assay and increased sensitivity to platinum and PARP inhibitors. There was a positive association between HRD scores and tumor response in patients with gastric cancer treated with a PARP inhibitor on a clinical trial. A gastric cancer cell line with strong sensitivity to cisplatin showed HR proficiency but exhibited NER deficiency by DDB2 proteo-probe assay. Single-cell RNA-sequencing revealed that, in addition to inducing general apoptosis, cisplatin treatment triggered ferroptosis in a NER-deficient gastric cancer, which may explain the outlier sensitivity. ConclusionA subset of upper gastrointestinal tumors have genomic features of HR and NER deficiency and therefore may be more likely to benefit from platinum chemotherapy and PARP inhibition.

cancer biology↗

RB1 loss overrides PARP inhibitor sensitivity driven by RNASEH2B loss in prostate cancer

Current targeted cancer therapies are largely guided by mutations of a single gene, which overlooks concurrent genomic alterations. Here, we show that RNASEH2B, RB1, and BRCA2, three closely located genes on chromosome 13q, are frequently deleted in prostate cancer individually or jointly. Loss of RNASEH2B confers cancer cells sensitivity to poly(ADP-ribose) polymerase (PARP) inhibition due to impaired ribonucleotide excision repair and PARP trapping. When co-deleted with RB1, however, cells lose their sensitivity, in part, through E2F1-induced BRCA2 expression, thereby enhancing homologous recombination repair capacity. Nevertheless, loss of BRCA2 re-sensitizes RNASEH2B/RB1 co-deleted cells to PARP inhibition. Our results may explain some of the disparate clinical results from PARP inhibition due to interaction between multiple genomic alterations and support a comprehensive genomic testing to determine who may benefit from PARP inhibition. Finally, we show that ATR inhibition can disrupt E2F1-induced BRCA2 expression and overcome PARP inhibitor resistance caused by RB1 loss.

cancer biology↗

Genomic aberration based molecular signatures efficiently characterize homologous recombination deficiency in prostate cancer

BackgroundProstate cancers with mutations in genes involved in homologous recombination (HR), most commonly BRCA2, respond favorably to PARP inhibition and platinum-based chemotherapy. It is not clear, however, whether other prostate tumors that do not harbor deleterious mutations in these particular genes can similarly be deficient in HR, rendering them sensitive to HR-directed therapies.\n\nTo identify a more comprehensive set of prostate cancer cases with homologous recombination deficiency (HRD) including those cases that do not harbor mutations in known HR genes.\n\nHRD levels can be estimated using various mutational signatures derived from next-generation sequencing data. We used this approach to determine whether prostate cancer cases display clear signs of HRD in somatic tumor biopsies. Whole genome (n=311) and whole exome sequencing data (n=498) of both primary and metastatic prostate adenocarcinomas (PRAD) were analyzed.\n\nResultsKnown BRCA-deficient samples showed robust signs of HR-deficiency associated mutational signatures. HRD-patterns were also detected in a subset of patients who did not harbor germline or somatic mutations in BRCA1/2 or other HR related genes. Patients with HRD signatures had a significantly worse prognosis than patients without signs of HRD.\n\nConclusionsThese findings may expand the number of cases likely to respond to PARP-inhibitor treatment. Based on the HRD associated mutational signatures, 5-8 % of prostate cancer cases may be good candidates for PARP-inhibitor treatment (including those with BRCA1/2 mutations).

cancer biology↗

A subset of lung cancer cases shows robust signs of homologous recombination deficiency associated genomic aberration based molecular signatures

BackgroundConsistent with their assumed mechanism of action, PARP inhibitors show significant therapeutic efficacy in breast, ovarian and prostate cancer, which are the solid tumor types most often associated with the loss of function of key homologous recombination genes. It remains unknown, however, how frequent homologous recombination deficiency (HRD) is in other solid tumor types. Since it is well established, that HRD induces specific DNA aberration profiles and genomic scars that can be captured by various next-generation sequencing (NGS) based biomarkers, it is possible to assess the presence or absence of this DNA repair pathway aberration in any given tumor biopsy. MethodsWe derived the various HRD associated mutational signatures from whole genome and whole exome sequencing data in the lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC) cases from TCGA, in a patient of ours with stage IVA lung cancer with exceptionally good response to platinum-based therapy and in lung cancer cell lines. ResultsWe have found evidence that a subset of the investigated cases shows robust signs of HR deficiency, some of which exhibiting similar patterns to those with a complete loss of function of either BRCA1 or BRCA2 genes, however, without any signs of genetic alterations being present in either of those genes. The extreme platinum responder case also showed a robust HRD associated genomic mutational profile. HRD associated mutational signatures were also associated with PARP inhibitor sensitivity in lung cancer cell lines. ConclusionsLung cancer cases with high levels of HRD associated mutational signatures could be candidates for PARP inhibitor treatment, and in general, the prioritization of patients for clinical trials might be achieved using the combined analysis of the HRD-related next-generation sequencing-based mutational signatures.

cancer biology↗

Strand Orientation Bias Detector (SOBDetector) to remove artifacts from sequencing data of formalin fixed samples

Formalin-fixed paraffin-embedded (FFPE) tissue, the most common tissue specimen stored in clinical practice, presents challenges in the analysis due to formalin-induced artifacts. Here we present SOBDetector, that is designed to remove these artifacts from a list of variants, which were extracted from next-generation sequencing data, using the posterior predictive distribution of a Bayesian logistic regression model trained on TCGA whole exomes. Based on a concordance analysis, SOBDetector outperforms the currently publicly available FFPE-filtration techniques (Accuracy: 0.9 {+/-} 0.015, AUC = 0.96). SOBDetector is implemented in Java 1.8 and is freely available online.

bioinformatics↗

Breast cancer brain metastases show increased levels of genomic aberration based homologous recombination deficiency scores relative to their corresponding primary tumors

Due to its mechanism of action, PARP inhibitor therapy is expected to benefit mainly tumor cases with homologous recombination deficiency (HRD). Various measures of genomic scarring based HRD scores were developed as a companion diagnostic in order to correlate it with PARP inhibitor sensitivity. We compared a variety of HRD scores in primary tumors and their corresponding brain metastases and found a significant increase in this measure in brain metastases for all measures of HRD that were tested. This discrepancy warrants further investigation to assess whether this observation is common to other metastatic sites, and potentially a significant adjustment of strategy in the application of HRD measures in clinical trials for the prioritization of patients for PARP inhibitor therapy.\n\nKey messageWe quantified homologous recombination deficiency (HRD) in paired primary breast cancer and brain metastases samples based on a previously published data set. We showed that HRD significantly increases in the brain metastases relative to its paired primary tumor. An independent validation was also performed on another set of primary breast cancer and brain metastasis pairs using the \"my choice\" HRD score in collaboration with Myriad Genetics.\n\nThese confirmatory results suggest that brain metastases of breast cancer tend to have significantly higher HRD scores, which would prioritize those patients for PARP inhibitor therapy with those agents that cross the blood brain barrier such as veliparib and niraparib.

cancer biology↗