| Literature DB >> 35330396 |
Fatemeh Ghorbani Parsa1, Stefania Nobili2,3, Mina Karimpour4, Hamid Asadzadeh Aghdaei1, Ehsan Nazemalhosseini-Mojarad5, Enrico Mini6,7.
Abstract
Colorectal cancer (CRC) is the third most commonly diagnosed malignancy and has the second highest mortality rate globally. Thanks to the advent of next-generation sequencing technologies, several novel candidate genes have been proposed for CRC susceptibility. Germline biallelic mutations in one or more of the 22 currently recognized Fanconi anemia (FA) genes have been associated with Fanconi anemia disease, while germline monoallelic mutations, somatic mutations, or the promoter hypermethylation of some FANC genes increases the risk of cancer development, including CRC. The FA pathway is a substantial part of the DNA damage response system that participates in the repair of DNA inter-strand crosslinks through homologous recombination (HR) and protects genome stability via replication fork stabilization, respectively. Recent studies revealed associations between FA gene/protein tumor expression levels (i.e., FANC genes) and CRC progression and drug resistance. Moreover, the FA pathway represents a potential target in the CRC treatment. In fact, FANC gene characteristics may contribute to chemosensitize tumor cells to DNA crosslinking agents such as oxaliplatin and cisplatin besides exploiting the synthetic lethal approach for selective targeting of tumor cells. Hence, this review summarizes the current knowledge on the function of the FA pathway in DNA repair and genomic integrity with a focus on the FANC genes as potential predisposition factors to CRC. We then introduce recent literature that highlights the importance of FANC genes in CRC as promising prognostic and predictive biomarkers for disease management and treatment. Finally, we represent a brief overview of the current knowledge around the FANC genes as synthetic lethal therapeutic targets for precision cancer medicine.Entities:
Keywords: Fanconi anemia; colorectal cancer; predictive biomarker; prognostic biomarker; synthetic lethality; target therapy
Year: 2022 PMID: 35330396 PMCID: PMC8950345 DOI: 10.3390/jpm12030396
Source DB: PubMed Journal: J Pers Med ISSN: 2075-4426
Figure 1The FA pathway and inter-strand crosslink (ICL) repair. DNA crosslinking damages generally include intra-strand and inter-strand crosslink damages, which are repaired by NER and FA pathways, respectively. (a) In the FA pathway, the ICL damage is recognized by FANCM accompanying some other FAAPs at converging replication fork, which results in FA core complex loading along with FAAP100, FAAP20, and FAAP24, as well as MHF1 and MHF2. (b) FA core complex activates the ID2 complex by monoubiquitylation of FANCI and FANCD2. (c) Monoubiquitylated ID2 complex activates several endonucleases, such as FAN1, to stimulate unhooking processing of the ICL. (d) The unhooked ICL is removed by the NER pathway and bypassed by translesion synthesis polymerases REV1/pol ζ. (e,f) The HR pathway is recruited to repair the DSB on the other strand. After detection of DSB by PARP1, ADP-ribose molecules recruit the MRN complex to produce single-strand DNA and bind sister chromatid through a tail-to-tail link with another MRN complex. (g) Some FA members, such as BRCA1, BRCA2, BRIP1, and PALB2, in addition to the BCDX2 complex, induce the attachment of FANCR/RAD51 to ssDNA, which promotes strand invasion and DNA synthesis.
Figure 2The protein–protein network. The protein–protein interaction (PPI) between MMR proteins comprising MLH1, MSH2, MSH6, PMS2, and 22 FA proteins was exported from the STRING database (high confidence (0.7)) [80] and visualized by using Cytoscape software, version 3.8.2 [81]. The association network shows that FANCS, FANCD1, FANCO, and FANCQ are linked with all selected MMR proteins, while FANCM interacts with MSH6, MSH2, and MLH1. FANCD2 is connected to MSH2 and MLH1, whereas FANCJ is associated with MLH1 and PMS2. The FA proteins without direct association with selected MMR proteins have been excluded.
Germline mutations in FANC genes among CRC patients without mutations in known CRC predisposition genes.
| Gene(s) and No. | Study Group | Study Method | N. of | Reference |
|---|---|---|---|---|
| 2 patients from 1 family, no mutations in known CRC genes | Point mutation screening of the | 2/2 | [ | |
| 48 FCCTX probands with strong familial CRC aggregation; no mutations in known CRC genes | Mutation screening of | 2/48 | [ | |
| 1260 CRC patients with suspected Lynch syndrome | 25-gene NGS panel testing | 17/1260 | [ | |
| 450 EOCRC patients | 25-gene NGS panel testing | 7/450 | [ | |
| 430 EOCRC patients < 50 years | 154-gene NGS panel testing | 1/430 | [ | |
| 330 mCRC patients age ≤ 55 years, | 98-gene NGS panel testing | 6/440 | [ | |
| 6396 unselected CRC samples | 592-gene NGS panel testing | 251/6396 | [ | |
| 1058 unselected CRC samples | 25-gene NGS panel testing | 16/1058 | [ | |
| 680 unselected CRC patients | 40-gene NGS panel testing | 3/680 | [ | |
| 618 unselected CRC patients | 73-gene NGS panel testing | 2/618 | [ | |
| 189 unselected CRC patients | 25-gene NGS panel testing | 8/189 | [ | |
| 88 EOCRC patients ≤ 50, | WES | 2/88 | [ | |
| 133 EOCRC patients < 55 years | WES | 6/133 | [ | |
| 74 CRC patients from 40 unrelated families with strong CRC aggregation; no mutations in known CRC genes | WES | 5/74 | [ | |
| 94 CRC patients | WES | 4/94 | [ | |
| 141 unselected CRC patients | WES | 5/141 | [ |
N: number of patients; CRC: colorectal cancer; EOCRC: early-onset CRC (patients age ≤ 50); mCRC: metastatic CRC; FCCTX: familial CRC type X (Lynch syndrome without mutations in MMR genes); MMR: mismatch repair; NGS: next-generation sequencing; WES: whole-exome sequencing.
Figure 3Genetic alterations of the FA genes in primary CRC specimens. Graphics show 139 primary CRC specimens displaying FANC gene mutations from a cohort of 395 cases. (A) Frequency of copy number variations and (B) frequency of mutations per tumor specimen. (C) Type of alterations per gene and per tumor specimen (green circles: missense, frameshift, start lost, stop lost, stop gained mutations; red squares: copy number variation (CNV) change, gain; blue squares: CNV change, loss). Data are from the TGCA program and have been generated from the GDC Data Portal [99].
Figure 4The FA pathway involvement in CRC treatment. The DNA damages caused by radio- and chemotherapy in CRC cells result in cell death. On the other side, up-regulation of the FA pathway components such as RAD51, BRCA1/2, XRCC2, and REV7 leads to HR restoration and drug resistance. The deficiency in the FA pathway components such as BRCA1/2, XRCC2, and RAD51 represents the synthetic lethal relationship with PARP1, which might introduce druggable candidates for PARP inhibitors in CRC cells.
FA components as potential therapeutic targets in CRC.
| FA Component | FA Component Status | Drug Treatment(s) or Synthetic Lethality Partner(s) | Study Materials | Setting | Mechanism of Action/Observed Results | Ref. |
|---|---|---|---|---|---|---|
|
| RAD51 inhibition | Prexasertib | CRC stem cells | In vitro | Triggering mitotic catastrophe | [ |
| RAD51 inhibition | Mirin | PARP1-upregulated CRC stem cells | In vitro and in vivo | Triggering mitotic catastrophe | [ | |
| Decreased RAD51 protein | Talazoparib | In vitro | Increased sensitivity to the PARP inhibitor | [ | ||
| Increased RAD51 foci formation | Olaparib | Patient-derived CRC models | In vitro | Resistance to the PARP inhibitor | [ | |
| RAD51 inhibition | AZD6244 | In vitro | Induction of DNA damage and apoptosis | [ | ||
| Alpinumisoflavone | CRC cell lines | In vitro | Increased anti-cancer activity of alpinumisoflavone | [ | ||
|
| Olaparib | BRCA-deficient cell lines | In vitro | Genomic instability and cell death | [ | |
| Olaparib and talazoparib | BRCA-deficient cell lines | In vitro and in vivo | Elicit innate immune response | [ | ||
| ND | Niraparib | MSI or MSS CRC cells | In vitro or in vivo | Enhancement of the anti-tumor effects of both agents | [ | |
|
| GEO datasets-mCRC patients and CRC cells | Translational and in vitro | Synthetic lethality | [ | ||
|
| GEO datasets-mCRC patients and CRC cells | Translational and in vitro | Synthetic lethality | [ | ||
| High | Bevacizumab | GEO datasets-mCRC patients | Translational | More favourable PFS | [ | |
| Mutated | Oxaliplatin plus radiation before surgery | One LARC patient | Case report | Increased sensitivity to platinum-based chemotherapy | [ | |
|
| X-radiation | T84 colon tumor cell line | In vitro and In vivo | Increased sensitivity to X-radiation | [ | |
| - | CRC cell lines | In vitro | Apoptosis and inhibition of proliferation | [ | ||
| Biallelic mutated | Olaparib | Fibroblast cells | In vitro | Increased sensitivity to olaparib | [ | |
| Increased expression of XRCC2 | Olaparib | CRC cell lines | In vitro | Synthetic lethality | [ | |
|
| REV7 depletion | 5-fluorouracil and oxaliplatin | CRC cells | In vitro and In vivo | Impair of translesion DNA synthesis pathway | [ |
ND, not determined; CRC, colorectal cancer; LARC, locally advancer rectal cancer; GEO, Gene Expression Omnibus; PFS, progression-free survival