Oncology ; 2024, říjen Evidence-based medicine ; 11
11 stran : ilustrace ; 27 cm
Case studies that focused on methods of genetic testing for breast cancer. Intended for professional public.
- MeSH
- genetické testování MeSH
- genomika MeSH
- nádory prsu genetika MeSH
- Publikační typ
- kazuistiky MeSH
- Konspekt
- Patologie. Klinická medicína
- NLK Obory
- onkologie
- genetika, lékařská genetika
Breast cancer is the most frequently diagnosed cancer in women worldwide. Although dramatically increased survival rates of early diagnosed cases have been observed, late diagnosed patients and metastatic cancer may still be considered fatal. The present study's main focus was on cancer‐associated fibroblasts (CAFs) which is an active component of the tumor microenvironment (TME) regulating the breast cancer ecosystem. Transcriptomic profiling and analysis of CAFs isolated from breast cancer skin metastasis, cutaneous basal cell carcinoma, and squamous cell carcinoma unravelled major gene candidates such as IL6, VEGFA and MFGE8 that induced co‐expression of keratins‐8/‐14 in the EM‐G3 cell line derived from infiltrating ductal breast carcinoma. Western blot analysis of selected keratins (keratin‐8, ‐14, ‐18, ‐19) and epithelial‐mesenchymal transition‐associated markers (SLUG, SNAIL, ZEB1, E‐/N‐cadherin, vimentin) revealed specific responses pointing to certain heterogeneity of the studied CAF populations. Experimental in vitro treatment using neutralizing antibodies against IL-6, VEGF‐A and MFGE8 attenuated the modulatory effect of CAFs on EM‐G3 cells. The present study provided novel data in characterizing and understanding the interactions between CAFs and EM‐G3 cells in vitro. CAFs of different origins support the pro‐inflammatory microenvironment and influence the biology of breast cancer cells. This observation potentially holds significant interest for the development of novel, clinically relevant approaches targeting the TME in breast cancer. Furthermore, its implications extend beyond breast cancer and have the potential to impact a wide range of other cancer types.
- MeSH
- antigeny povrchové MeSH
- fibroblasty asociované s nádorem * metabolismus MeSH
- fibroblasty metabolismus MeSH
- keratiny genetika metabolismus MeSH
- lidé MeSH
- maligní melanom kůže MeSH
- MFC-7 buňky MeSH
- mléčné bílkoviny genetika metabolismus MeSH
- nádorové buněčné linie MeSH
- nádorové mikroprostředí genetika MeSH
- nádory prsu * farmakoterapie genetika metabolismus MeSH
- prognóza MeSH
- transkriptom MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
Breast cancer is a prevalent and aggressive disease characterized by high metastasis, recurrence, and mortality rates. While cisplatin is an effective chemotherapy drug, its use is limited by its toxic effects on the body. Despite advancements in therapeutic strategies, the therapeutic response is often unsatisfactory due to drug resistance, leading to poor prognosis. Recent studies have shown that cisplatin interacts with long non-coding RNAs (lncRNAs) and accelerates the development of resistance in tumor cells to therapy. This interaction highlights the complex mechanisms involved in the response of cancer cells to chemotherapy. Several lncRNAs have been identified as key players in mediating cisplatin resistance in breast cancer. These lncRNAs include SNHG15, HULC, HCP5, MT1JP, LncMat2B, DLX6-ASL, Linc00665, CARMN, and Lnc-EinRP44-3:6. These lncRNAs have been shown to target microRNAs and mRNAs and modulate the expression of genes involved in cisplatin resistance, which is important in treating breast cancer.
- MeSH
- antitumorózní látky * terapeutické užití farmakologie MeSH
- chemorezistence * genetika MeSH
- cisplatina * terapeutické užití farmakologie MeSH
- lidé MeSH
- nádory prsu * farmakoterapie genetika patologie metabolismus MeSH
- regulace genové exprese u nádorů * účinky léků MeSH
- RNA dlouhá nekódující * genetika metabolismus MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
BACKGROUND: Monoallelic germline pathogenic variants (GPVs) in five Fanconi anemia (FA) genes (BRCA1/FANCS, BRCA2/FANCD1, PALB2/FANCN, BRIP1/FANCJ, and RAD51C/FANCO) confer an increased risk of breast (BC) and/or ovarian (OC) cancer, but the role of GPVs in 17 other FA genes remains unclear. METHODS: Here, we investigated the association of germline variants in FANCG/XRCC9 with BC and OC risk. RESULTS: The frequency of truncating GPVs in FANCG did not differ between BC (20/10,204; 0.20%) and OC (8/2966; 0.27%) patients compared to controls (6/3250; 0.18%). In addition, only one out of five tumor samples showed loss-of-heterozygosity of the wild-type FANCG allele. Finally, none of the nine functionally tested rare recurrent missense FANCG variants impaired DNA repair activities (FANCD2 monoubiquitination and FANCD2 foci formation) upon DNA damage, in contrast to all tested FANCG truncations. CONCLUSION: Our study suggests that heterozygous germline FANCG variants are unlikely to contribute to the development of BC or OC.
- MeSH
- dospělí MeSH
- genetická predispozice k nemoci * MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádory prsu * genetika MeSH
- nádory vaječníků * genetika MeSH
- oprava DNA genetika MeSH
- protein FANCG * genetika MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- zárodečné mutace * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
Upregulation of MYC is a hallmark of cancer, wherein MYC drives oncogenic gene expression and elevates total RNA synthesis across cancer cell transcriptomes. Although this transcriptional anabolism fuels cancer growth and survival, the consequences and metabolic stresses induced by excess cellular RNA are poorly understood. Herein, we discover that RNA degradation and downstream ribonucleotide catabolism is a novel mechanism of MYC-induced cancer cell death. Combining genetics and metabolomics, we find that MYC increases RNA decay through the cytoplasmic exosome, resulting in the accumulation of cytotoxic RNA catabolites and reactive oxygen species. Notably, tumor-derived exosome mutations abrogate MYC-induced cell death, suggesting excess RNA decay may be toxic to human cancers. In agreement, purine salvage acts as a compensatory pathway that mitigates MYC-induced ribonucleotide catabolism, and inhibitors of purine salvage impair MYC+ tumor progression. Together, these data suggest that MYC-induced RNA decay is an oncogenic stress that can be exploited therapeutically. Significance: MYC is the most common oncogenic driver of poor-prognosis cancers but has been recalcitrant to therapeutic inhibition. We discovered a new vulnerability in MYC+ cancer where MYC induces cell death through excess RNA decay. Therapeutics that exacerbate downstream ribonucleotide catabolism provide a therapeutically tractable approach to TNBC (Triple-negative Breast Cancer) and other MYC-driven cancers.
- MeSH
- lidé MeSH
- myši MeSH
- nádorové buněčné linie MeSH
- nádory prsu * metabolismus genetika patologie MeSH
- protoonkogenní proteiny c-myc * metabolismus genetika MeSH
- regulace genové exprese u nádorů MeSH
- ribonukleotidy * farmakologie MeSH
- stabilita RNA * MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- myši MeSH
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
Doporučené postupy klinické péče o nosiče patogenních variant v klinicky relevantních nádorových predispozičních genech definují kroky primární a sekundární prevence, která by měla být těmto osobám ve vysokém riziku vzniku dědičných nádorů v ČR poskytnuta. Tvorba doporučení byla organizována pracovní skupinou onkogenetiky Společnosti lékařské genetiky a genomiky (SLG ČLS JEP) ve spolupráci se zástupci onkologie a onkogynekologie. Doporučené postupy vycházejí z aktuálních doporučení National Comprehensive Cancer Network (NCCN), European Society of Medical Oncology (ESMO) a zohledňují kapacitní možnosti našeho zdravotnictví.
The Guidelines for Clinical Practice for carriers of pathogenic variants in clinically relevant cancer predisposition genes define the steps of primary and secondary prevention that should be provided to these individuals at high risk of developing hereditary cancer in the Czech Republic. The drafting of the guidelines was organized by the Oncogenetics Working Group of the Society for Medical Genetics and Genomics of J. E. Purkyně Czech Medical Society (SLG ČLS JEP) in cooperation with the representatives of oncology and oncogynecology. The guidelines are based on the current recommendations of the National Comprehensive Cancer Network (NCCN), European Society of Medical Oncology (ESMO) and take into account the capacity of the Czech healthcare system.
- MeSH
- ATM protein genetika MeSH
- checkpoint kinasa 2 genetika MeSH
- genetická predispozice k nemoci * MeSH
- geny BRCA1 MeSH
- geny BRCA2 MeSH
- nádory prostaty diagnóza genetika prevence a kontrola MeSH
- nádory prsu diagnóza genetika prevence a kontrola MeSH
- nádory slinivky břišní diagnóza genetika prevence a kontrola MeSH
- nádory vaječníků diagnóza genetika prevence a kontrola MeSH
- primární prevence metody MeSH
- protein FANCN genetika MeSH
- sekundární prevence metody MeSH
- směrnice pro lékařskou praxi jako téma MeSH
- zárodečné mutace MeSH
BACKGROUND: Breast cancer is the most commonly occurring cancer worldwide and is the main cause of death from cancer in women. Novel biomarkers are highly warranted for this disease. OBJECTIVE: Evaluation of novel long non-coding RNAs biomarkers for breast cancer. METHODS: The study comprised the analysis of the expression of 71 candidate lncRNAs via screening, six of which (four underexpressed, two overexpressed) were validated and analyzed by qPCR in tumor tissues associated with NST breast carcinomas, compared with the benign samples and with respect to their clinicopathological characteristics. RESULTS: The results indicated the tumor suppressor roles of PTENP1, GNG12-AS1, MEG3 and MAGI2-AS3. Low levels of both PTENP1 and GNG12-AS1 were associated with worsened progression-free and overall survival rates. The reduced expression of GNG12-AS1 was linked to the advanced stage. A higher grade was associated with the lower expression of PTENP1, GNG12-AS1 and MAGI2-AS3. Reduced levels of both MEG3 and PTENP1 were linked to Ki-67 positivity. The NRSN2-AS1 and UCA1 lncRNAs were overexpressed; higher levels of UCA1 were associated with multifocality. CONCLUSIONS: The results suggest that the investigated lncRNAs may play important roles in breast cancer and comprise a potential factor that should be further evaluated in clinical studies.
- MeSH
- adaptorové proteiny signální transdukční genetika metabolismus MeSH
- dospělí MeSH
- guanylátkinasy genetika metabolismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádorové biomarkery * genetika metabolismus MeSH
- nádory prsu * genetika patologie metabolismus mortalita MeSH
- prognóza MeSH
- regulace genové exprese u nádorů MeSH
- RNA dlouhá nekódující * genetika MeSH
- senioři MeSH
- stupeň nádoru MeSH
- tumor supresorové geny MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
INTRODUCTION: In silico tools capable of predicting the functional consequences of genomic differences between individuals, many of which are AI-driven, have been the most effective over the past two decades for non-synonymous single nucleotide variants (nsSNVs). When appropriately selected for the purpose of the study, a high predictive performance can be expected. In this feasibility study, we investigate the distribution of nsSNVs with an allele frequency below 5%. To classify the putative functional consequence, a tier-based filtration led by AI-driven predictors and scoring system was implemented to the overall decision-making process, resulting in a list of prioritised genes. METHODS: The study has been conducted on breast cancer patients of homogeneous ethnicity. Germline rare variants have been sequenced in genes that influence pharmacokinetic parameters of anticancer drugs or molecular signalling pathways in cancer. After AI-driven functional pathogenicity classification and data mining in pharmacogenomic (PGx) databases, variants were collapsed to the gene level and ranked according to their putative deleterious role. RESULTS: In breast cancer patients, seven of the twelve genes prioritised based on the predictions were found to be associated with response to oncotherapy, histological grade, and tumour subtype. Most importantly, we showed that the group of patients with at least one rare nsSNVs in cystic fibrosis transmembrane conductance regulator (CFTR) had significantly reduced disease-free (log rank, p = 0.002) and overall survival (log rank, p = 0.006). CONCLUSION: AI-driven in silico analysis with PGx data mining provided an effective approach navigating for functional consequences across germline genetic background, which can be easily integrated into the overall decision-making process for future studies. The study revealed a statistically significant association with numerous clinicopathological parameters, including treatment response. Our study indicates that CFTR may be involved in the processes influencing the effectiveness of oncotherapy or in the malignant progression of the disease itself.
- MeSH
- dospělí MeSH
- frekvence genu MeSH
- jednonukleotidový polymorfismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádory prsu * genetika farmakoterapie patologie MeSH
- protein CFTR * genetika MeSH
- senioři MeSH
- studie proveditelnosti * MeSH
- umělá inteligence * MeSH
- výsledek terapie MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Klíčová slova
- Mammaprint,
- MeSH
- genetické testování * MeSH
- kongresy jako téma MeSH
- lidé MeSH
- nádory prsu * diagnóza genetika MeSH
- nádory závislé na hormonech diagnóza genetika MeSH
- Check Tag
- lidé MeSH
BACKGROUND: The polygenic risk score (PRS) allows the quantification of the polygenic effect of many low-penetrance alleles on the risk of breast cancer (BC). This study aimed to evaluate the performance of two sets comprising 77 or 313 low-penetrance loci (PRS77 and PRS313) in patients with BC in the Czech population. METHODS: In a retrospective case-control study, variants were genotyped from both the PRS77 and PRS313 sets in 1329 patients with BC and 1324 noncancer controls, all women without germline pathogenic variants in BC predisposition genes. Odds ratios (ORs) were calculated according to the categorical PRS in individual deciles. Weighted Cox regression analysis was used to estimate the hazard ratio (HR) per standard deviation (SD) increase in PRS. RESULTS: The distributions of standardized PRSs in patients and controls were significantly different (p < 2.2 × 10-16) with both sets. PRS313 outperformed PRS77 in categorical and continuous PRS analyses. For patients in the highest 2.5% of PRS313, the risk reached an OR of 3.05 (95% CI, 1.66-5.89; p = 1.76 × 10-4). The continuous risk was estimated as an HRper SD of 1.64 (95% CI, 1.49-1.81; p < 2.0 × 10-16), which resulted in an absolute risk of 21.03% at age 80 years for individuals in the 95th percentile of PRS313. Discordant categorization into PRS deciles was observed in 248 individuals (9.3%). CONCLUSIONS: Both PRS77 and PRS313 are able to stratify individuals according to their BC risk in the Czech population. PRS313 shows better discriminatory ability. The results support the potential clinical utility of using PRS313 in individualized BC risk prediction.
- MeSH
- dospělí MeSH
- genetická predispozice k nemoci * MeSH
- genetické rizikové skóre MeSH
- hodnocení rizik metody MeSH
- lidé středního věku MeSH
- lidé MeSH
- multifaktoriální dědičnost genetika MeSH
- nádory prsu * genetika MeSH
- retrospektivní studie MeSH
- rizikové faktory MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- srovnávací studie MeSH
- Geografické názvy
- Česká republika MeSH