Emerging potential value of long non-coding RNAs as biomarkers and therapeutic targets in pancreatic cancer
Introduction
Pancreatic cancer (PC) is often asymptomatic in its early phases and hence it is diagnosed in the advanced stages; it has a poor prognosis and has a high prevalence (1). PC was recently reported to be the 13th most common cancer globally, with 458,918 new cases per annum, and the 7th most common cause of cancer-related mortality, with 432,242 related deaths (2). According to the American Cancer Society report, approximately 60,430 new cases and 48,220 deaths from PC occurred in the United States in 2021, ranking third after lung and bronchus cancer and colorectal cancer (3). Early symptoms of PC are non-specific, including: epigastric bloating, abdominal bloating, general lethargy, diarrhea, vomiting, and constipation (4). However, as the tumor progresses, features include obstructive jaundice, weight loss, light stools, abdominal pain and fatigue develop (5). The highest mortality rate attributable to PC is observed in developed countries, and although the causes of PC are not well understood, factors such as smoking, family history, genetic problems, diabetes mellitus, alcohol, and inactivity can be considered as factors that cause (6). PC is age-dependent and its rate is slightly higher in men than in women (2). The causation of PC may involve non-protein-coding RNA (ncRNA). Non-coding RNAs are involved in the regulation of cancer cell proliferation, apoptosis, invasion and metastasis. They are abnormally expressed in human malignancies (7), and may potentially be used in the diagnosis, treatment and assessment of the prognosis of cancer, and may be used as cancer markers (8). Surgery, chemotherapy, endoscopic treatment and immunotherapy are used to treat PC; these treatments most often used in combination (9).
Only 2% of the human genome encodes proteins, with the remaining 98% of genes previously being considered non-functional “junk DNA” (10). However, the ENCODE project has revealed that part of the human genome, encodes ncRNAs that are not only relevant to fundamental biological processes such as growth and development but are also involved in a wide range of diseases, including cancer (11,12).
Non-coding RNAs can be classified into two groups based on their size. Short RNAs are less than 200 nucleotides in length, and may also be termed microRNAs (miRNAs); the other group are the long non-coding RNAs (lncRNAs) that are >200 nucleotides in length (13,14). Despite the extensive research on miRNAs and their role in gene regulation, the biological relevance of the vast majority of lncRNAs remains unclear. Their complexity relates to their ability to switch functions and be tissue/cell-specific (15,16). Many types of lncRNAs are categorized according to their genomic localization, mode of action, and function. LncRNAs can be transcribed from the introns of protein-coding genes (intronic lncRNAs), from intergenic regions between protein-coding genes (intergenic lncRNAs), or the antisense strand of a gene (natural antisense transcripts) depending on their genomic location (17-20). It is possible to categorize lncRNAs into four categories based on their function: signaling, decoying, guiding, and scaffolding properties (21). RNA polymerase II transcribes lncRNAs, which can be capped, spliced, and polyadenylated but lack an open reading frame (ORF) (22,23). There is a low degree of evolutionary constraint associated with most lncRNAs; therefore, they have differed significantly during evolution (24).
LncRNAs are aberrantly expressed in many different cancers, including PC (25). By comparing the expression of lncRNAs in tumor tissue and surrogate tissues between people with PC and healthy individuals, it is possible to develop a non-invasive method for early diagnosis and even stage prediction. Furthermore, since lncRNAs play a role in many processes involved in cancer development, including proliferation, apoptosis, metastasis, and angiogenesis, they are attractive therapeutic targets attracting researchers’ attention (26). This article reviews the lncRNAs identified in recent years for their role in PC diagnosis, prognosis, and treatment.
Non-coding RNAs have been used for the prediction, diagnosis and assessing the prognosis of cancers (27). It has also been reported that lncRNAs are found in exosomes of tumors, which could provide a way to diagnose and treat PC (28). Non-coding RNAs may be involved in the development of PC by regulating gene expression at the chromatin, transcriptional, or post-transcriptional level (29). Among the therapeutic implications, it may be possible to suppress the expression of overexpressed lncRNAs. This may be through the use of RNAi methods, degradation of lncRNAs by RNase H, antisense oligonucleotides, or the use of the CRISPR/Cas9 genome editing method (30). Balancing the expression of different lncRNAs may be a viable method for treating PC. It has been shown that several lncRNAs including lncRNA-UFC1, RP11-263F15.1, ABHD11-AS1, LINC00675, HULC and C9orf139 can be used in the diagnosis of PC. Also, the expression of non-coding RNA can affect the expression of cancer. Things like RUNX1-IT1, ENSG00000254041.1, MALAT1, LOC285194 LncRNA-UFC1, RP11-263F15.1, BC008363, MEG3 and HULC are among the lncRNAs involved in this (26).
C9orf139 is another regulated lncRNA found in the tissues and sera of patients with PC and may have diagnostic value because the area under the curve (AUC) value of this lncRNA is estimated to be 0.923, and overexpression of this lncRNA is associated with a higher probability of cancer progressing to advanced stages and metastasis. It is related to lymph nodes and poor differentiation (31).
It is proposed that lncRNAs contribute to the pathobiology of PC through various mechanisms, including the modulation of cancer-related pathways such as JAK2/STAT3, EGFR/MAPK, ERK, NOTCH, and PTEN (26). The epithelial-mesenchymal transition (EMT) process is an important process in the progression of cancer metastasis, which has been found to affect several lncRNAs in PC (26). LINC00462, LINC00958, SNHG12, and OIP5-AS1 are among the lncRNAs that have been confirmed to play a role in EMT progression in PC (26). Many lncRNAs used as diagnostic markers also have the potential to be used for assessing prognosis. For example, in addition to being a diagnostic marker, UFC1 can also facilitate the prediction of PC. Therefore, UFC1 can be shown as an independent prognostic factor for PC (32) Attention to non-coding RNAs shows that MALAT-1, HOTAIR, HOXA13, H19, LINC01559, LINC00460, SNHG14, SNHG16, DLX6-AS1, MSC-AS1, ABHDDUXCRAP2, Regulating, DLRNAsl, are non-coding RNAs. Which have a positive effect on PC, while GAS5, HMlincRNA717, MIAT, LINC01111, lncRNA KCNK15-AS1 are down-regulated lncRNAs that inhibit pancreatic ductal adenocarcinoma (PDAC) invasion and progression (33).
LncRNAs are detected in most body fluids including blood, saliva, urine, and even pancreatic juice, and they can therefore serve as biomarkers for tumor diagnosis, targeted therapy, and improved patient prognosis (34).
Epigenetic and lncRNA
The main epigenetic mechanisms include the well-understood phenomenon of DNA methylation, histone modifications, and regulation by non-coding RNAs (35). LncRNA participates in the control of genomic transcription by interacting with epigenetic modifying complexes (36). Major epigenetic mechanisms include the well-understood phenomenon of DNA methylation, histone modifications, and regulation by non-coding RNAs. Complex 2 [polycomb repressive complex 2 (PRC2)] is one of the main histone modification complexes that is regulated by lncRNAs, and a large number of lncRNAs are associated with this complex (37). The first HOX-associated lncRNA, HOTAIR, was initially identified as a scaffold RNA associated with histone modification complexes, namely PRC2 and the LSD1/CoREST/REST complex (38). LncRNA HOXA distal transcript antisense RNA (HOTTIP) is a HOX-related lncRNA associated with chromatin remodeling complexes and promoting H3K27 trimethylation to repress the expression of multiple HOXA gene (25). HOXA10 and HOXA11 genes regulate the expression of matrix metalloproteinase 3 and 2 genes, which cause invasion of PC cells (39). HOTAIR plays a role in cell proliferation and metastasis and is associated with human EZH2, a component of the PRC2, and binds to the promoter region of miR-34 and causes trimethylation of histone 3 lysine 27 (H3K27), which ultimately leads to suppression of miR-34 transcription, increase in cell proliferation and decrease in apoptosis (25). Or, H19 promotes PC progression by downregulating target region let-7, which enhances HMGA-2-mediated EMT (33). MALAT-1 is a lncRNA overexpressed in several types of cancer. MALAT-1 engages the Hippo-YAP signaling pathway when highly expressed (40).
Diagnostic role of lncRNAs in PC
Detection and treatment of PC at an early stage can significantly reduce mortality. Recent technological advancement in high-throughput sequencing has made it possible for researchers to identify dysregulated expression of lncRNAs in various types of cancer (41). It is possible to use lncRNAs as sensitive biomarkers for diagnosing, predicting, and developing promising therapies for PC. It has been reported that some lncRNAs display tissue and cancer-specific expression patterns, making them potentially useful as biomarkers for diagnostic purposes (41). For example, prostate cancer antigen 3 (PCA3) is a prostate-specific gene highly expressed in prostate cancer (42). The detection of differential expression of lncRNAs in serum or plasma has become an important new diagnostic tool in noninvasive diagnostic procedures. One study used a colorimetric assay to detect lncRNA HOTTIP through RT-LAMP (reverse transcription loop-mediated isothermal amplification) to diagnose PC (43). Research on lncRNAs is expected to develop new diagnostic biomarkers for the early diagnosis of PC. For example, an increase in the C9orf139 level in tissue and serum of patients had clinical significance for PC diagnosis. There is a greater risk of progression to stage III+IV, lymph node metastasis, and poor differentiation in patients with high C9orf139 expression. Specifically, C9orf139 promotes PC cell growth by modulating the miR-663a/Sox12 axis (31) (Table 1).
Table 1
LncRNAs | Expression in PC | Relevant targets in PC | Reference |
---|---|---|---|
SNHG12 | High | miR-320b | (44) |
C9orf139 (LINC02908) | High | miR-663a/Sox12 | (31) |
GAS8-AS1 | Down | miR-1179 | (45) |
H19 | High | E2F1, let-7 | (46) |
LINC01197 | Down | – | (47) |
LINC00473 (C6orf176) | High | cAMP/β-catenin | (48) |
AL109748.6 | – | HOXA13, RTN1 (hub genes) | (49) |
AC125792.1 | – | HOXA13 (hub gene) | (49) |
CTD-2292M14.1 | – | HOXA13 (hub gene) | (49) |
AK027298 | – | HOXA13, RTN1 (hub genes) | (49) |
AK094441 | – | HOXA13, RTN1 (hub genes) | (49) |
BC084573 | – | RTN1 (hub gene) | (49) |
RP11-288L9.1 | – | RTN1 (hub gene) | (49) |
AC012005.5 | – | RTN1, CHRAC1 (hub genes) | (49) |
NR_002827 | – | RTN1, CHRAC1 (hub genes) | (49) |
NR_024058 | – | RTN1, CHRAC1 (hub genes) | (49) |
NR_024427 | – | RTN1, CHRAC1 (hub genes) | (49) |
AK056486 | – | RTN1, CHRAC1 (hub genes) | (49) |
RP11-312H15.3 | – | CHRAC1 (hub gene) | (49) |
AC006427.3 | – | CHRAC1 (hub gene) | (49) |
BC035067 | – | CHRAC1 (hub gene) | (49) |
CTD-2066L21.3 | – | CHRAC1 (hub gene) | (49) |
CERS6-AS1 | High | miR-217/YWHAG/RAF1 signaling | (50) |
LINC00339 | High | – | (51) |
LINC-ROR | High | miR-124/PTBP1, ZEB1 | (52) |
MALAT1 | High | IPO7/p53/miR-129-5p positive feedback loop | (53) |
SBF2-AS1 | High | miR-142-3p/TWF1, miR-122-5p/XIAP | (54) |
UCA1 | High | p27, miR-135a, miR-96, MOB1, Lats1, YAP | (55) |
LINC01133 | High | miR-216a-5p/TPT1 | (56) |
SNHG16 | High | miR-302b-3p/SLC2A4 | (57) |
CTBP1‑AS2 | High | miR‑141‑3p/USP22 | (58) |
DGCR5 | High | miR-3163/TOP2A/Wnt/β-catenin | (59) |
LINC00152 | High | miR-150 | (60) |
LINC00261 | Down | miR‑552‑5p/FOXO3 | (61) |
LINC00514 | High | miR-28-5p/Rap1b | (62) |
LINC00941 | High | miR-335-5p | (63) |
LINC01559 | High | miR-1343-3p/RAF1 | (64) |
MIR99AHG | High | FOXA1/miR-3129-5p/ELAVL1/NOTCH2 | (65) |
NORAD | High | miR-202-5/ANP32E | (66) |
SNHG15 | High | EZH2/P15/KLF2 | (67) |
XIST | High | miR‑137/Notch1 | (68) |
ZEB1-AS1 | High | HIF-1a/ZEB1/HDAC1 | (69) |
ZFAS1 | High | miR-497-5p/HMGA2 | (70) |
MCM3AP-AS1 | High | miR-138-5p, FOXK1 | (71) |
LncRNA, long non-coding RNA; PC, pancreatic cancer.
A significant increase in CTBP1AS2 expression was observed in PC tissues and cell lines. Patients with high expression of CTBP1AS2 had advanced clinical stages and lymph node metastases. The lncRNA CTBP1AS2, therefore, may play an essential role in PC progression as well as a diagnostic biomarker by modulating miR1413p and USP22 expression (58).
MIR99AHG is another lncRNA that is distinctly overexpressed in PDAC cell lines. As a result of MIR99AHG deficiency, PC cells could not proliferate, migrate, and invade by activating the FOXA1/MIR99AHG/miR-3129-5p/ELAVL1/NOTCH2 axis. Through sequestering microRNA-3129-5p (miR-3129-5p) and recruiting ELAV-like RNA binding protein 1 (ELAVL1), MIR99AHG modulated notch receptor 2 (NOTCH2) expression and stimulated the Notch signaling pathway (65).
LINC00514 was reported to be upregulated in PC tissues, and its expression was significantly associated with clinical progression and prognosis. Rap1b was a downstream target of microRNA-28-5p, and LINC00514 acted as a sponge for miR-28-5p in PC (62).
It has been reported that LINC00941 and ROCK1 are highly expressed in PC. At the same time, miR-335-5p exhibits low expression, and high LINC00941 expression is strongly associated with larger tumors, lymph node metastasis, and poor prognosis in PC. Furthermore, LINC00941 was shown to function as a molecular sponge for miR-335-5p and a competitive endogenous RNA (ceRNA) for ROCK1, promoting ROCK1 upregulation and activation of the LIMK1/Cofilin-1 pathway. Therefore, LINC00941 may be helpful as a diagnostic and prognostic marker in patients with PC (63).
Prognostic value of lncRNAs in PC
Several recent studies have demonstrated that some lncRNAs are related to the clinicopathological characteristics and the prognosis of patients with PC. These lncRNAs were independent prognostic factors in patients with cancer and positively correlated with overall survival, suggesting that they could be helpful for the monitoring of high-risk populations, the prediction of prognosis, and the monitoring of recurrence of the disease (72) (Table 2).
Table 2
LncRNAs | Expression in PC | Relevant targets in PC | Reference |
---|---|---|---|
C9orf139 (LINC02908) | High | miR-663a/Sox12 | (31) |
GAS8-AS1 | Down | miR-1179 | (45) |
H19 | High | E2F1, let-7 | (46) |
LINC01197 | Down | – | (47) |
LINC00473 (C6orf176) | High | cAMP/β-catenin | (48) |
CERS6-AS1 | High | miR-217/YWHAG/RAF1 signaling | (50) |
LINC-ROR | High | miR-124/PTBP1, ZEB1 | (52) |
SBF2-AS1 | High | miR-142-3p/TWF1, miR-122-5p/XIAP | (54) |
miR-122-5p, XIAP | (73) | ||
UCA1 | High | p27, miR-135a, miR-96, MOB1, Lats1, YAP | (55) |
LINC00152 | High | miR-150 | (60) |
BC037916 | High | JAK2/STAT3, TGF-β/smad2/3 | (74) |
HULC | High | – | (75) |
GABPB1-AS1 | High (cell lines) | mir-217 | (76) |
ST7-AS1 | Down | mir-181a-5p | (76) |
PSMG3-AS1 | Down (cell lines) | mir-210-3p | (62) |
RP11-48O20.4 | High | – | (77) |
AC009014.3 | Down | – | (77) |
LINC00476 | Down | PTK2, FGF, MAPK and HIF-1 signaling pathway | (78) |
C9orf163 | Down | FNFSF | (78) |
LINC00346 | High | PLK1 and p53 signaling pathway | (78) |
DSCR9 | Down | Ras, p53, MAPK and PI3K/Akt signaling pathway | (78) |
FLVCR1-DT | No changed | ULK3, CALCOCO2, MAPK8IP1, GABARAPL2 | (79,80) |
AC245041.2 | High | LAMA3 | (79,80) |
AC006504.7 | – | – | (81) |
AC125494.2 | Down | ULK1, MAP2K7, GABARAPL1, ATG4D, RPTOR, RAB24 | (81,82) |
AC012306.2 | Down | WIPI2, TUSC1, STK11, RPTOR, RAB24, PEX14, MLST8, ARSA | (79,80) |
ST20-AS1 | – | – | (81) |
AC036176.1 | – | ATG16L1, Mir223 | (81) |
LINC01089 | – | – | (81) |
AC005696.1 | – | – | (81) |
LINC02257 | High | RPTOR, miR-377-3p | (79,80) |
TRPC7-AS1 | – | – | (83) |
AC092171.5 | High | – | (80,84) |
DCST1-AS1 | – | – | (83) |
LINC02004 | – | – | (83) |
AC025165.1 | – | – | (83) |
CASC8 | High | – | (83,85,86) |
AC010615.2 | – | – | (83) |
AC090114.2 | – | – | (83,86) |
AGAP2-AS1 | High | ANKRD1, ANGPTL4, EZH2 | (87) |
ATB | Down | – | (88,89) |
DLX6-AS1 | High | ZEB2, miR-181b | (90) |
LINC00460 | High | microRNA‑503/cyclin D1 | (82) |
LINC01586 | Down | SNAP25 | (91) |
LINP1 | High (bad prognosis) | microRNA-491-3p | (85,92) |
MIR600HG | Down | – | (81) |
TSPOAP1-AS1 | Down | – | (81) |
NT5E | High | SYNCRIP | (93) |
OIP5-AS1 | High | miR-186-5p/NGFR | (94) |
CYTOR | High | miR-205-5p/CDK6 | (95) |
DGCR5 | Down | miR‑27a‑3p/BNIP3/p38 MAPK | (96) |
RUNX1-IT1 | High | RUNX1 gene, C-FOS | (97) |
AC006504.8 | No changed | ATG10, BNIP1, BNIP3, GABARAP, GABARAPL2, MAP1LC3A, MAPK8IP1, PELP1, TSC1 | (80) |
AC005332.6 | Down | GABARAPL2, GABARAPL1, TSC1, RPTOR, ETC. | (80) |
AC002091.1 | High | – | (84) |
MEG9 | High | – | (84) |
ZNF236-DT | High (good prognosis) | – | (85) |
PAN3-AS1 | No changed | – | (85,86) |
SH3PXD2A-AS1 | High | – | (85,86) |
AC015660.1 | – | – | (86) |
AC087501.4 | – | – | (86) |
LINC01133 | High | – | (86) |
AC009974.1 | – | – | (86) |
TRAF3IP2-AS1 | No changed | – | (86) |
AC083841.1 | – | – | (86) |
AC022098.1 | – | – | (86) |
AL161431.1 | High | CDH1, CDH2, VIM | (98) |
DUXAP8 | High | miR-448/WTAP/Fak Signaling | (99,100) |
ELFN1-AS1 | High | E-cadherin, N-cadherin, vimentin | (101) |
HMGA2-AS1 | High | HMGA2 | (102) |
LINC00261 | Down | c-Myc | (103) |
LINC01128 | High | miR-561-5p/LDHA | (104) |
NT5E | High | SYNCRIP | (93) |
PART1 | High | miR-122 | (105) |
SNHG15 | High | microRNA‑345‑5p/RAB27B | (106) |
XLOC_006390 | High | c-Myc | (107) |
LINC00671 | Down | AKT/ERK signaling pathway | (108) |
MCM3AP-AS1 | High | miR-138-5p, FOXK1 | (71) |
LncRNA, long non-coding RNA; PC, pancreatic cancer.
Two lncRNAs TSPOAP1.AS1 and MIR600HG have been identified as cancer biomarkers predicting 3- and 5-year survival in patients with PC. There is potential for this two-lncRNA signature to serve as a new prognostic indicator for clinical outcomes (81).
The results of another study indicated that LINC00460 was upregulated in PC samples and was associated with a poorer survival rate among patients diagnosed with the disease. LINC00460 expression levels were significantly correlated with tumor size but not with age, sex, differentiation, lymph node metastasis, vascular invasion, or tumor stage. There is potential that LINC00460 targets the microRNA503/cyclin D1 axis and can be used as an independent prognostic biomarker for prostate cancer (82).
The expression of SNHG16 in PC tissues and cell lines was also significantly elevated and was associated with a poor prognosis for PC patients. In PC cells, SNHG16 acted as a sponge to regulate miR-302b-3p expression. Furthermore, miR-302b-3p directly targeted SLC2A4 (57).
A study also demonstrated that LINC00473 expressed highly in PC tissues and cells, and elevated LINC00473 levels were associated with larger tumor sizes, more advanced tumor, node, metastasis (TNM) stages, poorer tumor differentiation, and higher rates of perineural invasions and lymphatic invasions. The high level of LINC00473 suggests a worse prognosis for PC patients. There is a possibility that LINC00473 could promote the proliferation and metastasis of PC cells by activating cAMP, which triggers the phosphorylation of β-catenin, possibly providing a new marker for the diagnosis and prognosis of PC patients (48).
Therapeutic role of lncRNAs in PC
LncRNAs are promising therapeutic targets for cancer therapy and offer many advantages as the novel, specific therapeutics. LncRNA is vital for the design of new drugs because of its role in apoptosis and proliferation of cancer. Selectively silencing oncogenic lncRNAs makes a new approach to cancer treatment possible. The manipulation of lncRNAs can be easily achieved through RNAi or LNA GapmeRs (43).
It is also important to note that ncRNAs play an essential role in drug resistance. As a consequence of their role in regulating the sensitivity of cancer cells to therapy, ncRNAs could influence the efficacy of cancer therapeutics, including chemotherapy, radiotherapy, immunotherapy, and other targeted therapies, which are used in the treatment of PC (41). A discussion of the lncRNAs which have promising therapeutic potential is provided in Table 3.
Table 3
LncRNAs | Expression in PC | Relevant targets in PC | Reference |
---|---|---|---|
SNHG12 | High | miR-320b | (44) |
LINC00473 (C6orf176) | High | cAMP/β-catenin | (48) |
AL109748.6 | – | HOXA13, RTN1 (hub genes) | (49) |
AC125792.1 | – | HOXA13 (hub gene) | (49) |
CTD-2292M14.1 | – | HOXA13 (hub gene) | (49) |
AK027298 | – | HOXA13, RTN1 (hub genes) | (49) |
AK094441 | – | HOXA13, RTN1 (hub genes) | (49) |
BC084573 | – | RTN1 (hub gene) | (49) |
RP11-288L9.1 | – | RTN1 (hub gene) | (49) |
AC012005.5 | – | RTN1, CHRAC1 (hub genes) | (49) |
NR_002827 | – | RTN1, CHRAC1 (hub genes) | (49) |
NR_024058 | – | RTN1, CHRAC1 (hub genes) | (49) |
NR_024427 | – | RTN1, CHRAC1 (hub genes) | (49) |
AK056486 | – | RTN1, CHRAC1 (hub genes) | (49) |
RP11-312H15.3 | – | CHRAC1 (hub gene) | (49) |
AC006427.3 | – | CHRAC1 (hub gene) | (49) |
BC035067 | – | CHRAC1 (hub gene) | (49) |
CTD-2066L21.3 | – | CHRAC1 (hub gene) | (49) |
CERS6-AS1 | High | miR-217/YWHAG/RAF1 signaling | (50) |
LINC00339 | High | – | (51) |
LINC-ROR | High | miR-124/PTBP1, ZEB1 | (52) |
MALAT1 | High | IPO7/p53/miR-129-5p positive feedback loop | (53) |
RGMB-AS1 | High | miR-574-3p/PIM3 | (109) |
SBF2-AS1 | High | miR-142-3p/TWF1, miR-122-5p/XIAP | (54) |
miR-122-5p | (110) | ||
UCA1 | High | p27, miR-135a, miR-96, MOB1, Lats1, YAP | (55) |
miR-96-5p/AMOTL2 | (111) | ||
LINC01133 | High | miR-216a-5p/TPT1 | (56,86) |
miR-199b-5p/MYRF pathway | (112) | ||
SNHG16 | High | miR-302b-3p/SLC2A4 | (57) |
CRNDE | High | miR-451a/CDKN2D | (113) |
CTBP1‑AS2 | High | miR‑141‑3p/USP22 | (58) |
DGCR5 | High Down |
miR-3163/TOP2A/Wnt/β-catenin | (59) |
miR‑27a‑3p/BNIP3/p38 MAPK | (96) | ||
LINC00152 | High | miR-150 | (60) |
LINC00261 | Down | miR‑552‑5p/FOXO3 | (61) |
c-Myc | (103) | ||
KLF13- mTOR-P70S6K1-S6 signaling pathway | (114) | ||
SCP2/FOXP3 | (115) | ||
LINC00514 | High | miR-28-5p/Rap1b | (62) |
LINC00941 | High | miR-335-5p | (63) |
LINC01094 | High | miR-577/LIN28B/PI3K/AKT | (116) |
LINC01559 | High | miR-1343-3p/RAF1 | (64) |
YAP | (117) | ||
MIR99AHG | High | FOXA1/miR-3129-5p/ELAVL1/NOTCH2 | (65) |
NORAD | High | miR-202-5/ANP32E | (66) |
SNHG15 | High | EZH2/P15/KLF2 | (67) |
microRNA‑345‑5p/RAB27B | (106) | ||
XIST | High | miR‑137/Notch1 | (68) |
ZEB1-AS1 | High | HIF-1a/ZEB1/HDAC1 | (69) |
miR-505-3p/TRIB2 | (118) | ||
ZFAS1 | High | miR-497-5p/HMGA2 | (70) |
CYTOR | High | miR-205-5p/CDK6 | (95) |
RUNX1-IT1 | High | RUNX1 gene, C-FOS | (97) |
AC245041.2 | High | LAMA3 | (79,80) |
LINC02257 | High | RPTOR, miR-377-3p | (79,80) |
FLVCR1-DT | No changed | ULK3, CALCOCO2, MAPK8IP1, GABARAPL2 | (79,80) |
AC006504.8 | No changed | ATG10, BNIP1, BNIP3, GABARAP, GABARAPL2, MAP1LC3A, MAPK8IP1, PELP1, TSC1 | (80) |
AC005332.6 | Down | GABARAPL2, GABARAPL1, TSC1, RPTOR, ETC | (80) |
AC012306.2 | Down | WIPI2, TUSC1, STK11, RPTOR, RAB24, PEX14, MLST8, ARSA | (79,80) |
AC125494.2 | Down | ULK1, MAP2K7, GABARAPL1, ATG4D, RPTOR, RAB24 | (81,82) |
AC092171.5 | High | – | (80,84) |
AC002091.1 | High | – | (84) |
MEG9 | High | – | (84) |
AC015660.1 | – | – | (86) |
AC087501.4 | – | – | (86) |
AC009974.1 | – | – | (86) |
TRAF3IP2-AS1 | No changed | – | (86) |
AC083841.1 | – | – | (86) |
AC022098.1 | – | – | (86) |
PAN3-AS1 | No changed | – | (85,86) |
SH3PXD2A-AS1 | High | – | (85,86) |
AC090114.2 | – | – | (83,86) |
CASC8 | High | – | (86) |
AL161431.1 | High | CDH1, CDH2, VIM | (98) |
ATB | Down | – | (89) |
DUXAP8 | High | miR-448/WTAP/Fak signaling | (99,100) |
ELFN1-AS1 | High | E-cadherin, N-cadherin, vimentin | (101) |
HMGA2-AS1 | High | HMGA2 | (102) |
LINC01128 | High | miR-561-5p/LDHA | (104) |
NT5E | High | SYNCRIP | (93) |
XLOC_006390 | High | c-Myc | (107) |
CRNDE | High | miR-451a/CDKN2D | (113) |
LINC01320 | High | miR-324-3p | (119) |
FGD5-AS1 | High | miR-520a-3p/KIAA1522 | (120) |
PSMB8-AS1 | High | miR-382-3p/STAT1/PD-L1 | (121) |
SNHG6 | High | FUBP1/miR-26a-5p | (122) |
ABHD11-AS1 | High | miR-1231 | (123) |
ANRIL | High | miR-181a | (124) |
CASC2 | Down | miR‑24/MUC6 | (125) |
CASC19 | High | miR-148b/E2F7 | (126) |
CTD‑3252C9.4 | Down | IFI6 | (127) |
DANCR | High | miR-135a/NLRP37, miR-214-5p/E2F2, miR-33b/MMP-16 | (128) |
DBH-AS1 | Down | miR-3163/USP44 | (129) |
DSCAM-AS1 | High | miR-136-5p/PBX3 | (130) |
DLEU2 | High | miR-455, SMAD2 | (131) |
FAM66C | – | miR-574-3p | (132) |
FLVCR1-AS1 | Down | KLF10 | (133) |
FTX | High | miR-513b-5p | (134) |
GATA3‑AS1 | High | miR‑30b‑5p‑Tex10 | (135) |
H19 | High | miR-675-3p | (136) |
HIF1A-AS1 | High | HIF1α | (137) |
HCP5 | High | miR-140-5p/CDK8 | (138) |
HOST2 | High | – | (139) |
HOTAIR | High (PC cells in mice) | Wnt/β-catenin signaling pathway | (140) |
HOTTIP | High | miR-137 | (141) |
HOXA10-AS | High | miR-340-3p/HTR1D | (142) |
HOXA-AS3 | High | miR-29c/CDK6 | (143) |
LIFR-AS1 | High | miRNA-150-5p/VEGFA | (144) |
LINC00472 | Down | miR-23a-3p/FOXO3/BID | (145) |
LINC00491 | High | miR-188-5p/ZFP91 | (146) |
LINC00657 | High | miR‑520h/CKS1B | (147) |
LINC00671 | Down | AKT/ERK signaling pathway | (108) |
LINC00857 | High | miR-130b/RHOA | (148) |
Linc01232 | High | HNRNPA2B1/A-Raf/MAPK | (149) |
LNC00673 | Down | miR-504/HNF1A | (150) |
LOXL1-AS1 | High | miR-28-5p/SEMA7A | (151) |
MCM3AP-AS1 | High | miR-138-5p, FOXK1 | (71) |
NEAT1 | High | ELF3 | (152) |
OIP5-AS1 | High | miR-342-3p | (153) |
PVT1 | High | miR-143/HIF-1α/VMP1 | (154) |
HIF-1a | (155) | ||
miR-619-5p/Pygo2, miR-619-5p/ATG14 | (156) | ||
SNHG7 | High | Notch1/Jagged1/Hes-1 signaling pathway | (157) |
TP73-AS1 | High | miRNA-128-3p/GOLM1 | (158) |
TTN‑AS1 | High | microRNA‑589‑5p/FOXP1 | (159) |
miR-133b/SQLE | (160) |
LncRNA, long non-coding RNA; PC, pancreatic cancer.
TTN-AS1 regulates SQLE expression by acting as a molecular sponge for miR-133b, and low levels of SQLE can promote PC progression by activating the ERK/NF-κB pathway. Another study demonstrated that TTN-AS1 and FOXP1 were upregulated in PC cell lines and tissues. TTN-AS1 acted as a molecular sponge for miR-5890-5p, and its mRNA expression level in PC tissues is inversely correlated with that of miR-589-5. Consequently, targeting the lncRNA-TTN-AS1/miR-133b/SQLE axis or the TTNAS1/miR5895p/FOXP1 feedback loop should provide new ideas for the treatment of patients with PC (159,160).
PVT1 is highly expressed in PC patients and plays a crucial role in disease progression by binding to the HIF-1a promoter and activating its transcription; it is also up-regulated in gemcitabine-resistant PC and promotes gemcitabine resistance of PC via miR-143/HIF-1α/VMP1 axis, or by activating Wnt/β-catenin and autophagy pathway through modulating the miR-619-5p/Pygo2 and miR-619-5p/ATG14 axes (154-156). Additionally, the lncRNA ANRIL is highly expressed in PC cells and increases chemotherapy resistance to gemcitabine through the miR-181a/HMGB1 pathway (124). Another study, which was particularly pronounced in gemcitabine-resistant PC tissues. There was a significant negative correlation between DBH-AS1 downregulation, PC tumor malignancy, and patient survival. Functional analysis revealed that DBH-AS1 suppressed PC cell growth through the METTL3-dependent m6A methylation of lncRNA. In addition, decreased DBH-AS1 expression in PC was linked to METTL3-dependent methylation of lncRNA. It appears that DBH-AS1 acts by sequestering miR-3163 and upregulating USP44 in PC cells, making them more sensitive to gemcitabine (129). As mentioned, lncRNAs can be used as therapeutic targets through various strategies; for example, in one study, CRISPR-dCas9 was proposed as an alternative technique to target HOXA-AS3. HOXA-AS3 was upregulated in PC cells and was able to promote PC cell proliferation through its regulation of miR-29c/CDK6 (143).
Conclusions
Studies have shown that lncRNA is significantly associated with the initiation and progression of PC. Also, some ncRNAs may act as biomarkers for PC. In this article, we have reviewed the types of ncRNAs and their potential roles in PC in terms of prognosis, diagnosis and treatment. Certainly, their clinical translation could contribute to the development of biomarkers in all types of cancer, and even in the future, lncRNA-based therapies may be an adjunctive option. Expanding our knowledge in this field will further improve diagnostic methods and develop treatment options.
Acknowledgments
Funding: None.
Footnote
Peer Review File: Available at https://apc.amegroups.com/article/view/10.21037/apc-23-17/prf
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://apc.amegroups.com/article/view/10.21037/apc-23-17/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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Cite this article as: Haghshenas Z, Shaban F, Ferns GA, Nazari E. Emerging potential value of long non-coding RNAs as biomarkers and therapeutic targets in pancreatic cancer. Ann Pancreat Cancer 2024;7:3.