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Gene & Protein in Disease                                                 Gene fusions and chimeric RNAs



            research, technology, and bioinformatics tools have led   •   RNA stability: Chimeric RNAs have the potential
            to the discovery of chimeric RNAs in various healthy   to alter transcript stability. Depending on the
            tissues  and cells. The  fusion  transcript  DUS4L–BCAP29   combination of exons, these chimeric RNAs may
            was initially linked to gastric cancer, but a study by Tang et   either be more stable or more prone to degradation
            al. (2019) revealed that DUS4L–BCAP29 is also present in   than their non-chimeric counterparts
            normal tissues, with the junction sequence identical to that   •   Protein translation: Some chimeric RNAs may be
            reported in gastric cancer. Overexpression of this fusion   translated to produce novel fusion proteins. These
            transcript promoted cell growth and motility in non-  fusion proteins might have combined or altered
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            cancerous cell lines.  Babiceanu et al. (2016) also reported   functions compared with the original proteins,
            the presence of chimeric RNAs in normal tissues and cells,   potentially affecting cellular activities and pathways 99
            identifying CTNNBIP1–CLSTN1 and CTBS–GNG5 fusion   •    Epigenetic  regulation: Chimeric RNAs could also
            transcripts in both normal tissues and cell lines. Knocking   impact epigenetic modifications by influencing
            down the  CTBS–GNG5 chimeric RNA suppressed           the recruitment of chromatin-modifying enzymes
            cell  growth  and  reduced  cell  motility,  and  inhibiting   to specific genomic regions, thereby altering the
            CTNNBIP1–CLSTN1 also led to  reduced  growth  and     expression of neighboring genes. 100
            motility.  Li et al. (2008) reported the presence of the JAZF1–
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            JJAZ1 fusion transcript in normal endometrial stromal   5. Chimeric RNAs as a biomarker and
            cells, which was formed as a result of RNA trans-splicing   molecular target
            rather than chromosomal rearrangement.  The  PAX3–
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            FOXO1 chimeric RNA, linked to rhabdomyosarcoma and   Since the discovery of the  BCR–ABL fusion transcript,
            used as a biomarker, was also detected in normal muscle   numerous fusion transcripts have been identified across
                                      43
            cell lines and muscle biopsies.  Moreover, Chen  et al.   various cancer types, emerging as promising biomarkers
            (2021) revealed the presence of chimeric RNAs in various   for cancer diagnosis and treatment. A  simple example
            non-malignant cell lines, including HEK-293T, HUVEC,   is shown in Figure 5. The EML4–ALK fusion serves as a
            and LO2 cells. 76                                  biomarker in NSCLC, guiding the use of ALK inhibitors
                                                               to improve patient outcomes.  Similarly, the TMPRSS2–
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              When examining chimeric RNAs in healthy tissues,   ERG gene fusion is detectable in the early stages of prostate
            there is potential to uncover novel aspects of typical cellular   cancer and is valuable for prognostic assessments.  In a
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            function or regulation. These discoveries may provide a   study by Lin et al. (2019), the chimeric RNA seGOLM1–
            deeper understanding of how regular cellular mechanisms   NAA35 was proposed as a potential biomarker and early
            are co-opted in oncological contexts.  Analysis of RNA-  indicator for human ESCC, potentially predicting early
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            seq data from 16 distinct healthy human tissues revealed   recurrence or disease progression more effectively than
            that numerous sense–antisense chimeric transcripts were   standard  radiological  methods.   Wu  et al.  (2018)  also
                                                                                         57
            expressed across multiple tissues. This suggests a potential   reported the frequent presence of  LHX6–NDUFA8 in
            link between sense–antisense chimeras and normal   cervical cancer and pap smear specimens, suggesting
            physiological processes. Furthermore, an evolutionary   it could be used as a biomarker for cervical cancer
            analysis of sense–antisense fusions across different species   detection.  Furthermore, Izumi  et al. (2019) identified
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            identified several shared genes capable of producing these   CLIP1–LTK fusion in patients with NSCLC. This fusion
            chimeric transcripts in humans, mice, fruit flies, and   has been recognized as an oncogenic driver in NSCLC,
            pigs. This finding implies that the emergence of sense–  with individuals harboring this fusion showing a strong,
            antisense chimeric transcripts from specific genes may   favorable response to lorlatinib, a tyrosine kinase inhibitor
            offer evolutionary advantages, as these genes have been   that targets receptor tyrosine kinases linked to cancer
            evolutionarily selected to enhance functional diversity in
            response to various cellular conditions. 97        development. The fusion protein can be targeted using
                                                               lorlatinib. A  list of gene fusions with diagnostic and
            4.1. Potential effects of chimeric RNAs on         therapeutic potential is provided in Table 2. 102-117
            subsequent gene expression                           Similarly, intergenically spliced chimeric RNAs offer a

            •   Gene regulation: Chimeric RNAs can influence gene   unique set of biomarkers and potential therapeutic targets.
               expression by acting as competitive endogenous RNAs   In NEPC, several chimeric RNAs, including  TMPRSS2–
               (ceRNAs).  These  molecules  bind  to  microRNAs,   ERG  (e2e4),  EEF2–SLC25A42,  SNX13–ATP2C1,  and
               preventing them from degrading target mRNAs     FXYD2–DSCAML1, have been identified and validated,
               leading to increased expression of genes that would   all exhibiting specific expression patterns in NEPC
               otherwise be suppressed by microRNAs 98         cells. Notably,  TMPRSS2–ERG (e2e4) showed elevated


            Volume 4 Issue 1 (2025)                         9                               doi: 10.36922/gpd.3641
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