Introduction
Alternative splicing is an important process in post-transcriptional regulation and significantly increases the complexity of the transcriptome by generating multiple splice isoforms. The process of alternative splicing is regulated in a tissue- and cell-specific manner and contributes to the pathogenesis of many cancers. Consequently, cancer signatures based on specific isoforms are usually more precise than those based on gene expression [
1]. Thus, the cancer-specific isoforms may serve as new diagnostic biomarkers to distinguish various cancer types and provide potential targets for drug discovery [
2]. Therefore, identifying and characterizing alternative splicing isoforms are essential for generating specific cancer signatures and developing new strategies for precision medicine.
Recent advances in high-throughput sequencing technologies have elucidated that in human genome the number of long noncoding RNAs (lncRNAs) is significantly larger than that of coding genes, and many lncRNAs have multiple alternatively spliced isoforms [
3–
5]. lncRNAs are recognized as important regulators of gene expression and play key roles in tumor initiation, progression, and metastasis [
6,
7]. For example, lncRNA DANCR and HOTTIP are closely related to tumor progression and poor prognosis in patients with colorectal cancer (CRC) [
8,
9]. HOTAIRM1 is a myeloid-specific lncRNA, and its deregulation is involved in leukemogenesis and impacts prognosis in some types of acute myeloid leukemia (AML) [
10]. Thus, tissue-specific or cancer-specific lncRNAs emerge as a novel assortment of molecular biomarkers for cancer prognosis.
Alternative splicing of lncRNAs further expands their regulatory and functional complexity in tumorigenesis. lncRNAs are predominately transcribed by RNA polymerase II and often multiexonic and polyadenylated. Therefore, the alternative splicing of lncRNAs may be executed through canonical splice sites, which is similar to that of protein-coding mRNAs [
11]. Especially, lncRNAs tend to undergo incomplete splicing due to the co-transcriptional splicing weakening close to the polyadenylation site [
12]. In addition, studies have shown that lncRNAs can be transcribed by RNA polymerase III (Pol III), which has also been reported to drive alternative splicing through Pol III-transcribed noncoding RNA such as 38A and 17A [
13]. Therefore, determination of the differential expression pattern of different lncRNA isoforms in cancer can be of help to more precisely identify cancer-specific biomarkers, provide potential targets for developing new therapeutic strategies, and elucidate the accurate regulation mechanisms of lncRNAs in tumorigenesis.
Colorectal Neoplasia Differentially Expressed (non-protein-coding) (gene symbol
CRNDE) was first identified to be overexpressed in CRC [
14]. Later on, CRNDE has also been found to be upregulated in patients with pancreatic cancer [
15] and glioma [
16]. It is located on chromosome 16 and adjacent to the
IRX5 gene on the opposite strand. Studies have shown that
CRNDE and
IRX5 genes share a bidirectional promoter, and their expression can be coregulated in a concordant pattern [
17]. CRNDE confers multiple functions in tumorigenesis. It can promote tumor cell proliferation and chemoresistance through Wnt/β-catenin signaling in CRC and renal cell carcinoma [
18,
19]. CRNDE can also exert migration and invasion effects in CRC cells and glioma stem cells and inhibit cell apoptosis [
20]. Notably, it has at least 12 different alternative transcript isoforms generated from six exons at the
CRNDE locus. Among these isoforms, the CRNDE-h isoform has been reported to be specifically upregulated and associated with poor prognosis of CRC and glioma [
21,
22]. This finding implicates that the spliced variants of CRNDE, particularly the CRNDE-h isoform, might exhibit tissue-specific cancer types. However, the expression pattern of CRNDE and its various spliced isoforms in the majority of cancer types and drug influence on its expression remain unclear.
In this study, we retrieved the gene expression data sets of 109 normal tissues, 67 normal cell types, and 15 types of solid and hematopoietic tumors including 2938 patient samples to investigate CRNDE distribution in normal tissues and its abnormal expression in cancer samples. We found that CRNDE was expressed in a tissue- and cell-specific pattern. More importantly, we showed that CRNDE was overexpressed in 11 of 15 tested cancer types, especially in those whose corresponding normal samples have little to no expression of CRNDE. Further analysis of gene expression data sets of cancer cells with drug treatment demonstrated that anti-cancer drugs could efficiently repress the overexpression of CRNDE in cancer cell lines and patient samples. Finally, quantitative real-time PCR (qRT-PCR) assays by isoform-specific primers for 12 CRNDE spliced variants illustrated that CRNDE-g (previously defined CRNDE-h) was most abundant in the majority of cancer cell lines. Collectively, our findings demonstrate that CRNDE was commonly overexpressed in most types of cancer, emphasizing its role in tumorigenesis, and suggest that CRNDE with its distinct alternatively spliced isoforms might be promising biomarkers for cancer diagnosis and potential targets for cancer therapy.
Materials and methods
Collection of microarray gene expression data sets
The normalized expression levels of CRNDE across all normal human tissues and cell types were downloaded from the Body Atlas database of NextBio (http://www.nextbio.com) including 147 normal tissues and 173 cell types. Excluding the unassayed tissues and cell types, we finally retrieved the gene expression data from 109 normal tissues and 67 cell types. Cancer-associated microarray gene expression data sets were downloaded from the Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI, https://www.ncbi.nlm.nih.gov). Detailed information of various data sets is presented in Table 1.
To investigate the drug influence on CRNDE expression, we downloaded four gene expression data sets with drug treatment, encompassing three data sets on cancer cell lines and one data set on cancer patient samples. Two data sets were generated from the CRC line HCT116 (GSE15395) [
23] and the prostate cancer cell line DU145 (GSE15392) [
23] with the treatment of R547. One data set was generated from the AML cell line THP1 with the treatment of phorbol-12-myristate-13-acetate (PMA) (GSE46599) [
24]. One data set was generated from nine chronic myeloid leukemia (CML) patients with the treatment of imatinib (GSE33075) [
25].
Integration of gene expression microarrays
We integrated microarray data sets from the same cancer by reanalyzing their raw data and used robust multi-array average approach for normalization among different data sets. Subsequently, we pooled the patient samples and corresponding normal control samples for further comparative analysis of CRNDE expression.
Cell culture and reagents
Solid cancer cell lines including CRC cell lines HCT116 and HT29 cells and glioma tumor cell lines U251 and U87MG cells were cultured in DMEM (Gibco, Carlsbad, CA, USA) supplemented with 10% fetal bovine serum (FBS, Moregate Biotech, Bulimba, QLD, Australia). Leukemic cell lines including Kasumi-1, U937, THP1, and K562 cells were cultured in RPMI 1640 (Gibco) supplemented with 10% FBS. All cell lines were cultured at 37 °C in a humidified atmosphere with 5% CO2 incubator.
qRT-PCR assays for 12 CRNDE transcripts in cancer cell lines
Total RNA from cancer cell lines was extracted using an RNeasy Mini Kit (QIAGEN, Hilden, Germany) according to the manufacturer’s protocol. Genomic DNA removal and RNA reverse transcription assays were performed with PrimeScript™ RT Reagent Kit with gDNA Eraser (Takara, Otsu, Japan). qRT-PCR assays were performed using SYBR® Premix Ex Taq™ II (Takara, Otsu, Japan) on ABI ViiA 7 Real-Time PCR System (Applied Biosystems, Foster City, CA, USA). The relative expression level of each gene was calculated as 2−[Ct(Gene)−Ct(GAPDH)]. Each assay was performed in triplicate. The isoform-specific primer pairs are listed in Table S1.
RT-PCR and agarose gel electrophoresis
RT-PCR assays were performed using KOD-Plus DNA Polymerase (Toyobo, Osaka, Japan) with 12 isoform-specific primers for CRNDE spliced transcripts (30 cycles at 94 °C for 15 s, at 58 °C for 30 s, and at 68 °C for 30 s). The PCR-amplified products of CRNDE transcripts were determined visually after performing electrophoresis on a 1% agarose gel containing GelRed™ Nucleic Acid Gel Stain (Biotium, Hayward, CA, USA).
Statistics
Paired or unpaired t-test was used to validate the significance of the data.
Results
Genomic view of alternatively spliced variants on the CRNDE locus
As multiple alternatively spliced variants of CRNDE have been reported in literature [
14,
26], we first updated the possible variants using the latest human NCBI AceView database. As shown in Fig. 1, the
CRNDE genomic locus, spanning from 54 952 779 to 54 963 101 on human chromosome 16q based on the Human Genome Assembly GRCh37/hg19, produces at least 12 different transcript variants. These 12 variants include 7 alternatively spliced variants (CRNDE-a, -b, -c, -g, -h, -i, and -j), 3 partially spliced variants (CRNDE-e, -f, and -l), and 2 unspliced isoforms (CRNDE-d and -k).
Although gene expression microarrays are commonly designed to detect mRNA expression levels, several microarray platforms also contain a fraction of lncRNAs. Certain microarray platforms even have the ability to assess the expression of alternatively spliced isoforms, at least to some extent, due to multiple probes designed to cover the distinct genomic locus. After screening the widely used microarray platforms, we found that two microarray platforms, i.e., the Affymetrix HG-U133 array and Illumina HumanHT-12 v4.0 Expression BeadChip, contained the probes specific for CRNDE. The Affymetrix HG-U133 array contains two CRNDE probes, i.e., 238021_s_at and 238022_at. The 238021_s_at probe targets the 3′-terminal exon and thus can detect the majority of the CRNDE isoforms containing exon 6, whereas the 238022_at probe is designed across exons 2, 4, 5, and 6, and thus only detects the exonic isoforms of CRNDE (Fig. 1). The Illumina HumanHT-12 v4.0 Expression BeadChip also contains two probes, i.e., ILMN_3240698 and ILMN_3250268, which specifically target the CRNDE-a and CRNDE-b transcripts, respectively (Fig. 1). These available probes may reflect, at least to some extent, the expression levels of CRNDE alternatively spliced isoforms.
Collection of CRNDE probe-containing microarrays in normal and cancer cells
To assess CRNDE expression in normal tissues/cell types and various cancer types, we retrieved the expression data from two large repositories of gene expression data. The expression data in normal tissues and cell types were extracted from Body Atlas. We retrieved the gene expression data from 109 normal tissues and 67 normal cell types. The gene expression data of various kinds of cancer samples and corresponding normal or adjacent noncancerous controls were retrieved from the GEO database. We retrieved 21 data sets of the gene expression data encompassing 15 cancer types, i.e., 9 solid tumors and 6 hematopoietic cancers, in which 2938 patient samples and 397 corresponding control samples were included. Among these data sets, 16 were generated from solid tumors including 4 for CRC, 1 for glioma, 2 for adrenocortical carcinoma, 3 for pancreatic tumor, 2 for prostate cancer, and 1 for ovarian adenocarcinoma, cervical cancer, non-small cell lung cancer (NSCLC), and non-melanoma skin cancer (NMSC) specimens. Additional five data sets were generated from hematopoietic malignancies including two for chronic lymphocytic leukemia (CLL), one for AML, one for adult T cell leukemia (ATL), and one for five types of hematopoietic cancers containing AML, CML, acute lymphocytic leukemia (ALL), CLL, and myelodysplastic syndrome (MDS). Detailed information about the data sets of cancer samples and corresponding normal controls is presented in Table 1.
CRNDE expression showing a tissue- and cell-specific pattern in normal tissues/cells
According to the annotation from the Body Atlas at the NextBio platform, 109 normal tissue types and 67 cell types were both classified into 10 systems. Additionally, we further ranked 10 systems and their corresponding tissues/cell types from relatively higher expression to lower expression of CRNDE. CRNDE was highly expressed in the urogenital, exocrine, integumentary, and musculoskeletal system, in which the expression levels of CRNDE in almost corresponding tissues were higher than the median expression level in total tissues, such as testes, parotid gland, and skin (Fig. 2). Furthermore, we also found that CRNDE was highly expressed in corresponding cell types, such as spermatozoa, ovary, and various types of prostate and breast cells (Fig. S1). Besides, CRNDE was expressed at highest levels in dental odontoblasts of the digestive system among all tested cells (Fig. S1). It was slightly expressed in most tissues of the immune system and endocrine system, such as spleen, bone marrow, and omental adipose tissue (Fig. 2). Correspondingly, we found that the expression level of CRNDE was lowest in mononuclear cells and B/T lymphocytes of peripheral blood and also in neutrophils of bone marrow. Moreover, the expression level of CRNDE in colonic epithelial cells of the digestive system was also lower than the median expression level of all cells (Fig. S1). The above results demonstrated that CRNDE was expressed in a tissue- and cell-specific pattern.
CRNDE overexpression in the majority of detected solid cancers
To investigate whether deregulated CRNDE expression is common in cancer, we first assessed the expression levels of CRNDE in solid tumors. Among these nine different solid cancer types, we observed that CRNDE was obviously overexpressed in six of nine solid tumors, with three reported, CRC, glioma, and pancreatic tumors, and three unreported, adrenocortical carcinoma, prostate cancer, and NMSC (Fig. 3A–3F and Fig. S2A–S2F). In this study, we integrated multiple gene expression data sets from various platforms and patient samples and further verified the overexpression of CRNDE in these three reported tumors. In addition, we found the expression level of CRNDE was significantly downregulated in ovarian cancer (Figs. 3G and S2G) and exerted no difference in cervical cancer and NSCLC, compared with the corresponding normal cervical epithelium cells and normal lung tissues (Fig. 3H and 3I and Fig. S2H and S2I).
Furthermore, expression levels of CRNDE were detected by four probes from two microarray platforms, which partially represented different alternatively spliced isoforms of CRNDE. As shown in Fig. 3 and Fig. S2, the corresponding two probes presented similar expression patterns except in prostate cancer. The expression levels of CRNDE detected by 238021_s_at probe revealed higher expression in prostate cancer tissues than normal control samples (Fig. 3E); however, the expression levels of fully spliced CRNDE isoforms detected by 238022_at probe had no difference between prostate cancer tissues and normal control samples (Fig. S2E). These results indicated that CRNDE and its distinct spliced isoforms were overexpressed in the majority of the detected cancer types and expressed in a cancer-specific pattern.
Highly expressed CRNDE in many types of hematopoietic cancers
To further investigate the expression patterns of CRNDE in hematologic malignancies, we assessed CRNDE expression in five gene expression data sets of hematologic cancers (Table 1). We first compared the expression of CRNDE between 750 ALL patient samples, 448 CLL patient samples, 542 AML patient samples, 76 CML patient samples, 206 MDS patient samples with 74 nonleukemia and healthy bone marrow samples. As shown in Fig. 4A, we found that CRNDE was significantly upregulated in ALL, AML, CML and MDS, and downregulated in CLL. We further verified the overexpression pattern of CRNDE in AML by analyzing another data set (GSE12662) (Fig. S3). We compared CRNDE expression from 76 AML patient samples, five normal polymorphonuclear neutrophils (PMNs), and five purified normal myeloid precursor CD34+ cells. Besides highly expressed in AML, we also found that CRNDE was moderately expressed in CD34+ cells than in PMNs cells (Fig. S3A). These results indicated that CRNDE expression appeared higher at the early stages of myeloid development and downregulated during differentiation, which may emphasize its temporal expression patterns. In addition, we analyzed the differential expression pattern of CRNDE between 41 ATL samples and 3 normal CD4+ T cells. As illustrated in Fig. 4B, the expression of CRNDE was also higher in ATL samples than in normal cells. Furthermore, the two CRNDE-specific probes from HG-U133 produced consistent expression patterns.
Interestingly, the expression levels of CRNDE in two additional CLL-associated data sets (GSE67642 and GSE50006) showed differential expression detected by four probes, which partially represented spliced isoforms of CRNDE to some extent. As shown in Fig. S3B and S3C, the total expression of CRNDE represented by the 238021_s_at probe from HG-U133 was lower in CLL samples. However, the expression of CRNDE isoforms (fully spliced) detected by the 238022_at probe showed no difference between CLL and normal B cells. Likewise, the CRNDE-a isoform detected by ILMN_3240698 probe showed lower expression in CLL samples, but the CRNDE-b isoform detected by ILMN_3250268 showed no difference between CLL and normal B cells. The data implicated that the expression of 12 CRNDE spliced isoforms differed in CLL.
Taken together, CRNDE was also upregulated in the majority of leukemia. The differential expression pattern of CRNDE and its isoforms in leukemia might be the characteristic of distinct subtypes of leukemia/subtype-specific expression pattern in leukemia.
Repression of overexpressed CRNDE by anti-cancer drugs in cancer cell lines and patient samples
The overexpression of CRNDE in multiple cancers suggested its potential oncogenic activity in tumorigenesis. We wondered whether anti-cancer drugs could correct the abnormally high expression of CRNDE in cancers. Therefore, we downloaded four gene expression data sets with drug treatment, encompassing three data sets on cancer cell lines and one data set on CML patient samples. We first investigated the drug effects on CRNDE expression in solid cancer cell lines, i.e., the colon cancer cell line HCT116 and the prostate cancer cell line DU145. The examined drug is R547, a novel cyclin-dependent kinase selective inhibitor in phase I clinical trials, which has shown a potent anti-growth effect on proliferating cancer cells [
48]. We compared the intensity of CRNDE-specific probes in HCT116 and DU145 cell lines with human peripheral blood mononuclear (PBMC) cells [
23]. The PBMC cells were considered as the nonproliferating cells for the control. As illustrated in Fig. 5A, the intensity of CRNDE in HCT116 and DU145 was significantly higher compared with the intensity of CRNDE in PBMC cells, which was consistent with our previous results in CRC and prostate cancer and further emphasized its role in promoting proliferation of cancers. Subsequently, we compared the intensity of CRNDE-specific probes in HCT116 cells and found different extents of reduction between two CRNDE-specific probes after R547 treatment. Especially, the intensity of 238021_s_at showed greater reduction than that of 238022_at (Fig. 5B). These results indicated that CRNDE isoforms presented different responses to drug treatment. Though CRNDE was higher in DU145 cells, we found that the intensities of two CRNDE-specific probes exhibited no difference after R547 treatment (Fig. 5C). These results in solid tumors indicated that CRNDE might display cancer-specific drug response, which may be due to the distinct genetic characteristics of different cancers.
Subsequently, we examined the influences of anti-cancer drugs on CRNDE expression in leukemia cells. We detected the drug response of CRNDE in M5 subtype of AML cell line THP1 cells, which is arrested at monocyte stage of macrophage differentiation. PMA is a common drug to induce the terminal monocyte–macrophage differentiation and can promote differentiation of THP1 leukemic cells into macrophage-like cells. We first compared the intensities of CRNDE between THP1 and macrophage cells. The expression of CRNDE was obviously higher in THP1 than in macrophage cells (Fig. 5D). These results also further verified our previous results that the expression of CRNDE was higher in abnormal proliferating leukemic cells than normal cells. Subsequently, we compared the intensities of CRNDE in THP1 cells before and after PMA treatment and discovered that PMA could significantly downregulate the expression of CRNDE (Fig. 5D). Besides AML, we further found that the expression of CRNDE was significantly downregulated in CML patient samples after imatinib therapy (Fig. 5E). CML is also a clonal myeloproliferative disorder characterized by the aberrant expression of the BCR/ABL fusion oncogene in accumulated myeloid precursor cells. As the standard therapy for newly diagnosed CML patients, imatinib can specifically target and degrade BCR/ABL fusion protein to cure patients. We compared the expression between CML patient samples and normal cells from healthy donors. Likewise, the expression of CRNDE was indeed significantly higher in CML patient samples (Fig. 5E), which emphasized its aberrant overexpression in hematopoietic cancer and its potential roles in leukemogenesis and differentiation therapy.
Experimental evidence illustrating the detailed expression patterns of 12 alternatively spliced isoforms of CRNDE in eight types of cancer cell lines
Although microarray-based profiles provide gene expression data on a large number of patients across a rich resource of cancer types, detailed gene expression information on alternatively spliced isoforms, especially for CRNDE with at least 12 isoforms, is limited. To investigate the exact expression pattern on each isoform of CRNDE in different types of cancer, we performed qRT-PCR to detect the expression of each isoform in several cell lines, which were shown to have overexpressed CRNDE. We first designed isoform-specific primers to distinguish the 12 isoforms. The principles of primer design were mainly according to their different splicing sites or distinguished sequence in retained introns or exons (Fig. 6A), which were further confirmed by sequencing each fragment amplified by corresponding primer pairs (Fig. 6B).
We detected the expression of CRNDE isoforms on eight types of cancer cell lines, encompassing two CRC cell lines (HT29 and HCT116), two glioma cell lines (U251 and U87MG), three AML cell lines (U937, Kasumi-1, and THP1), and one CML cell line (K562). As shown in Fig. 6C–6J, we found that the CRNDE-g isoform was the most overexpressed isoform in examined cancer cell lines. Our results underscored the potential roles of CRNDE-g in the tumorigenesis. We also found that CRNDE-a, -b, -d, -f, -h, -k, and -l were differentially expressed in these cell lines. Especially, CRNDE-b was also obviously overexpressed in cancer cells, only modestly lower than CRNDE-g. These differentially expressed CRNDE isoforms may account for the characteristics of cancer-specific expression patterns.
Discussion
lncRNAs are emerging as key regulators of diverse biological functions in cell development and tumorigenesis. Alternative splicing mechanisms generate various lncRNA isoforms, which increases the diversity of function and transcriptional regulation mechanisms of lncRNA. In this study, we demonstrated that the lncRNA CRNDE was expressed in a tissue- and cancer-specific pattern and commonly upregulated in multiple cancers by analyzing thousands of cancer patients. Additionally, anti-cancer drugs could efficiently repress the aberrant high expression of CRNDE. Furthermore, we found that CRNDE-g was the most abundant isoform in cancer cell lines, which implied that CRNDE with its distinct spliced isoforms could be the characteristic of various cancer types and the potential targets for cancer therapy.
As lncRNA CRNDE has been initially identified and investigated widely in CRC, more attention has been paid to CRNDE. Thus, its aberrant expression and potential oncogenic role in tumorigenesis prompt us to determine whether CRNDE expression is commonly altered in different cancer types. Our studies retrieved 21 gene expression data encompassing thousands of patient samples in 15 cancer types. Through our reanalysis of these data sets, we newly identified that CRNDE was significantly highly expressed in prostate cancer, ACC, NMSC, AML, ATL, CML, ALL, and MDS, besides previously reported CRC, glioma, and pancreatic cancer. Recent studies have suggested that the overexpression of CRNDE may be related to its upstream deregulation by several aspects. For the same promoter shared with IRX5, CRNDE is positively associated with IRX5 expression in CRC [
21]. Additionally, IRX5 is also reported to be overexpressed in multiple cancers and exert its oncogenic effects by regulating target genes and cell apoptosis [
49]. Our analysis also demonstrated the partially concordant expression pattern between CRNDE and IRX5 (data not shown). However, the real mechanism of the correlation between CRNDE and IRX5 remains poorly understood. Furthermore, we also demonstrated that CRNDE was highly upregulated in hematopoietic cancers. In addition to the upregulation of CRNDE in cancers, we also found that it can be downregulated in ovarian cancer and CLL. The evidence is showing that the decreased expression of CRNDE is associated with the accumulation of TP53 [
50]. Moreover, the downregulated CRNDE is considered to be a potential biomarker for poor prognostic evaluation in women with ovarian cancers. Furthermore, anti-cancer drugs, especially anti-proliferating and differentiation therapy, can efficiently correct the aberrant expression of CRNDE. The above results suggest that CRNDE may be a potential target for cancer therapy.
CRNDE is a multi-functional lncRNA that exerts various oncogenic functions in tumorigenesis. The upregulation of CRNDE can activate mTOR signaling, insulin/IGF signaling, and Wnt/β-catenin signaling pathways and inhibit cell apoptosis, thus promoting abnormal cell proliferation, metastasis, and invasion in many cancers [
19,
26,
51]. Several studies have revealed the preliminary transcriptional mechanism of CRNDE in the regulation of its tumor-promoting roles. First, CRNDE can act as competing endogenous RNA and microRNA sponges to regulate downstream signaling pathways. For example, CRNDE can competitively bind to miR-384 and negatively regulate its expression and tumor-suppressive function, primarily regulating its repressed gene, piwi-like RNA-mediated gene silencing 4 [
52]. Besides, CRNDE can bind to and negatively regulate miR-186 expression and consequently repress its downstream signaling pathways [
20]. CRNDE also can sponge miR-181a-5p to mediate Wnt/β-catenin signaling pathway and miR-136 to promote metastasis and oxaliplatin resistance in CRC [
18,
53]. Furthermore, CRNDE can bind polycomb repressive complex 2 and CoREST chromatin-modifying complexes in the nucleus, through epigenetic mechanism to modulate target genes [
54]. Although these preliminary results have explained the mechanism of CRNDE regulation and functions, many issues need to be investigated in the future.
Alternative pre-mRNA splicing can generate functionally distinct mRNAs by splicing exons of pre-mRNA in different arrangements [
2]. As a multiexonic lncRNA, CRNDE undergoes extensive alternative splicing to produce at least 12 isoforms according to the latest human NCBI AceView database. According to various amounts of unspliced introns and exons, these isoforms are classified into three main patterns, fully spliced introns (CRNDE-a, -b, -c, -g, -h, -i, and -j), retained intronic sequence (CRNDE-e, -f, and -l) and unspliced isoforms (CRNDE-d and -k). These isoforms predict that CRNDE may exert diverse roles in cell development and tumorigenesis. The transcript abundance profile illustrates that CRNDE-d is the dominant transcript in normal colorectal tissue, whereas, in colorectal adenomas and cancers, the expression of CRNDE-d decreases, and other CRNDE spliced variants may be upregulated [
14]. These findings suggest that CRNDE-d may participate in normal colorectal development. Thus, to elucidate the distinct function of CRNDE involving multiple cancer types, the exact expression pattern of various isoforms in different cancers needs to be identified. Our results revealed that CRNDE-g was the most abundant transcript in all detected cancer cell lines. Recently, it has been gaining attention due to its oncogenic effects and clinical implementation in CRC. Overexpression and knockdown assays demonstrate that CRNDE-g is involved in the regulation of aberrant cell proliferation [
21,
51]. Moreover, it has been used to efficiently distinguish adenoma with normal mucosa and is significantly correlated with metastasis and prognosis in CRC [
21]. Exosomal CRNDE-g is easily detected from the serum of patient samples. Thus, CRNDE-g can be considered as a biomarker for diagnosis and prognosis for CRC [
22]. In addition, CRNDE-b can produce 84 aa nuclear peptide named CRNDEP, which has been reported to contribute to the regulation of cell proliferation and promote stress granules’ formation in HeLa cells [
55]. Our studies further manifest the clinical significance of CRNDE and its specific isoform in multiple cancers, not only solid but also hematopoietic cancers.
Therefore, our results put forward CRNDE and its specific isoforms as sensitive and specific molecular markers for distinct cancer types for their characteristics of cancer-specific expression pattern. Furthermore, their potential oncogenic functions in tumorigenesis are also implied to be promising targets for cancer therapy, which may be further investigated in the future.
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