| Literature DB >> 35267530 |
Jyotirindra Maity1, Sachi Horibata2,3,4, Grant Zurcher1, Jung-Min Lee1.
Abstract
RecQ helicases are essential for DNA replication, recombination, DNA damage repair, and other nucleic acid metabolic pathways required for normal cell growth, survival, and genome stability. More recently, RecQ helicases have been shown to be important for replication fork stabilization, one of the major mechanisms of PARP inhibitor resistance. Cancer cells often have upregulated helicases and depend on these enzymes to repair rapid growth-promoted DNA lesions. Several studies are now evaluating the use of RecQ helicases as potential biomarkers of breast and gynecologic cancers. Furthermore, RecQ helicases have attracted interest as possible targets for cancer treatment. In this review, we discuss the characteristics of RecQ helicases and their interacting partners that may be utilized for effective treatment strategies (as cancers depend on helicases for survival). We also discuss how targeting helicase in combination with DNA repair inhibitors (i.e., PARP and ATR inhibitors) can be used as novel approaches for cancer treatment to increase sensitivity to current treatment to prevent rise of treatment resistance.Entities:
Keywords: BLM; RECQL4; RecQ helicases; WRN; novel treatment; ovarian cancer
Year: 2022 PMID: 35267530 PMCID: PMC8909030 DOI: 10.3390/cancers14051219
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1The RecQ helicases. Schematic representation of all five RecQ helicases (RECQL, BLM, WRN, RECQ4, RECQ5). Each helicase domain (helicase, RQC, acidic, NLS, HRDC, and exonuclease domain) is represented in different colors. Abbreviations: RQC, RecQ C terminal; NLS, nucleolar localization signal; HRDC, helicase-and-ribonuclease D/C-terminal. The size (amino acid) of each protein is indicated on the right side.
Figure 2Functional roles of RecQ helicases. The major functions of RecQ helicases are indicated in the rectangular column and its subsequent effect to the cells are indicated in circle. Each function is represented in different colors. The major functions of helicases include removal of blockage at stalled replication fork, maintenance of stressed replication fork, removal of non-canonical secondary structure at genome, denatures dsDNA and RNA secondary structure, repair of DNA damage, and maintenance of telomere length, chromatin structure, and integrity.
Studies evaluating BLM as a prognostic or potential predictive biomarkers in breast and gynecological cancers.
| Cancer Subtypes | Study Setting | Key Findings Related to BLM | Ref. |
|---|---|---|---|
| Newly diagnosed, stage III or IV ovarian, fallopian tube, or primary peritoneal carcinoma | Post-hoc exploratory biomarker analysis from GOG-0218 (NCT00262847), a phase III trial. | Homologous recombination repair (HRR) mutations were found in 25.7% of tissue samples. BLM mutation was found in 1.6% of these patients. | [ |
| Arm 1: carboplatin plus paclitaxel | BRCA wild type, HRR mutations were associated with increased progression-free survival (PFS) and overall survival (OS) independent of treatment. However, no difference for PFS was identified by addition of bevacizumab between patients with or without HRR mutation. | ||
| Stage II or III triple negative breast cancer (TNBC) | Post-hoc exploratory biomarker analyses of two, single arm, neoadjuvant phase II trials: | BLM copy number gain was found in 33% of platinum-sensitive and 0% in resistant tumors in trial 1 and 44% of combination therapy-sensitive and 12% in resistant tumors in trial 2. | [ |
| Trial 1 (NCT00148694) evaluated cisplatin | BLM mRNA levels were higher in cisplatin-sensitive tumors compared to resistant tumors. Stratification of results by bevacizumab was not given in this article. |
Studies evaluating BLM, WRN, and RECQL4 as prognostic biomarkers in breast and gynecological cancers.
| Biomarker | Cancer Subtype | Study Setting | Key Findings Related to BLM, WRN, or RECQL4 | Ref. |
|---|---|---|---|---|
| BLM | Breast Cancer (BC) | Retrospective study of BLM mRNA expression in BC ( | High BLM mRNA expression was associated with aggressive clinicopathological features and poor survival. | [ |
| At a protein level, high cytoplasmic BLM (53% of tumors) and low nuclear BLM (54% of tumors) were associated with aggressive phenotypes. Strong nuclear BLM expression was found in 95% of normal breast tissues. | ||||
| BLM, WRN, RECQL4 | Breast cancer (BC) | Retrospective study of 1269 invasive BC. Of which, 1032 were positive for tumor-infiltrating CD8+ T lymphocytes (TILs), and 237 cases were negative for CD8+ TILs. Independent ER- BC cohort was used for validation ( | BLM and RECQL4 protein expressions were not associated with survival in CD8+ TIL+ or CD8+ TIL- BCs. | [ |
| Low WRN protein expression was associated with poor survival in CD8+ TIL- BCs, but not in CD8+ TIL+ BCs. | ||||
| BLM, WRN, RECQL4 | BC | Retrospective study of gene expression data and clinical outcomes from a publicly available dataset on BC with relapse-free survival (RFS) ( | High BLM mRNA levels were associated with worse DMFS but were not correlated with OS, RFS, or PPS. | [ |
| High WRN mRNA levels were associated with better OS and better but were not correlated with DMFS or PPS. | ||||
| High RECQL4 mRNA levels were associated with worse OS, DMFS and RFS, and moderately correlated with poor PPS. | ||||
| Since WRN and RECQL4 mRNA expressions were associated with OS, WRN and RECQL4 protein expressions were tested for association with OS. High levels of WRN protein level were associated with increased OS while high RECQL4 protein level was associated with reduced OS. | ||||
| RECQL4 | BC | Retrospective study of independent cohorts of general BC to study copy number changes ( | RECQL4 copy number gain and amplification were found in 27.6% and 3% of tumors, respectively. ER- tumors showed higher likelihood of gain or amplification of RECQL4 compared to ER+ tumors. | [ |
| RECQL4 mRNA expressions were high in 51% of tumors. ER- tumors had higher RECQL4 mRNA expressions compared to ER+ tumors. | ||||
| RECQL4 protein expression had complex subcellular localizations in BC. RECQL4 staining were exclusively found in 17.6% of nucleus, 23.4% in cytoplasm, 24.8% in both nucleus and cytoplasm, or 34.2% with absence of staining. | ||||
| No increased incidence of BC was found in type II RTS patients. | ||||
| RECQL4 | BC | Meta-analysis of gene expression data from eight public datasets of BC patients ( | Differential expression of genes analysis showed that RECQL4 was differentially upregulated in metastatic versus non-metastatic tumors. | [ |
| RECQL4 | Cervical cancer | Cross-sectional comparative study of primary tumor biopsy ( | RECQL4 mRNA levels were higher in tumor samples ( | [ |
| RECQL4 | Stage III or IV High-grade serous ovarian cancer (HGSOC) | Prespecified post-hoc exploratory biomarker study of newly diagnosed HGSOC patients who either received platinum alone ( | Hypermethylation of RECQL4 promoter was associated with increased hazard of disease progression in the prospective cohorts and in the TCGA dataset of HGSOC. | [ |
| RECQL4 | Ovarian cancer (OC) | Retrospective cohort study of OC patients ( | RECQL4 mRNA levels were about 10-fold higher in OCs compared to normal FT tissues. | [ |
| 60.5% of patients had high nuclear RECQL4 expression. | ||||
| High RECQL4 protein expression was associated with poor OS, cisplatin resistance status, serum CA125 level, and omental metastasis. | ||||
| WRN | BRCA-mutant and sporadic BC | Retrospective study of BRCA-mutant ( | Low nuclear or cytoplasmic WRN protein expression was associated with poor overall BC-specific survival. | [ |
Figure 3RECQL4 amplification in ovarian cancer patients. (A) RECQL4 alteration frequency in patients with ovarian cancer from four studies (n = 1725 samples) are extrapolated from c-bio portal (cbioportal.org, accessed on 27 October 2021). Alterations include mutation (green), structural variant (purple), amplification (red), deep deletion (blue), and multiple alterations (grey). Approximately 20–30% of ovarian cancer patients have amplification of RECQL4. (B) High RECQL4 amplification is associated with a poor prognosis in ovarian cancer (n= 614) (Kmplot.com, accessed on 26 October 2021).