Literature DB >> 35116376

Cleavage factor Im 25 as a potential biomarker for prognosis of colorectal cancer.

Yubo Cai1, Zequn Chen2, Yutong Liang1, Yuehua Liao1, Yuanwei Wu1, Junqiang Huang1, Zhizhen Huang1, Ronggang Li1, Jiewei Chen3,4.   

Abstract

BACKGROUND: Cleavage factor Im 25 (CFIm25) affects the prognosis and progression of cancer by regulating alternative polyadenylation; however, its role in colorectal cancer remains unclear.
METHODS: A standard EnVision tissue microarray was used to evaluate the expression of CFIm25 by immunohistochemistry in 363 patients with colorectal cancer. The correlation between CFIm25 expression and clinicopathological characteristics was analyzed using the χ2 test. Univariate analysis was used to study the relationship between clinicopathological characteristics and patient prognosis. Multivariate analysis was performed using the Cox regression model to identify independent prognostic factors for patients with colorectal cancer.
RESULTS: Statistical analysis revealed that CFIm25 expression was significantly associated with vascular invasion (P=0.000), serous invasion (P=0.007), pT stage (P=0.016), and clinical stage (P=0.007). Age, vascular invasion, nerve invasion, serosal invasion, differentiation, clinical stage, recurrence, and CFIm25 expression were significantly correlated with the survival time of colorectal cancer patients (P<0.05). The mean overall survival rate in colorectal cancer patients with decreased CFIm25 expression was only 88.53 months, compared with 110.69 months in the high expression group (P=0.000). Decreased CFIm25 expression indicated a worse prognosis in patients with colorectal cancer. Further analysis by the Cox multivariate model showed that CFIm25 (HR, 0.543; 95% CI: 0.372-0.792; P=0.002) and serosa invasion (HR, 1.470; 95% CI: 1.032-2.094; P=0.033) are independent prognostic factors for colorectal cancer.
CONCLUSIONS: Decreased CFIm25 expression indicates a worse prognosis of colorectal cancer patients and could be a novel target for the treatment of colorectal cancer in the future. KEYWORDS: Polyadenylation; survival analysis; colorectal cancer (CRC); CFIm25. 2021 Translational Cancer Research. All rights reserved.

Entities:  

Year:  2021        PMID: 35116376      PMCID: PMC8797961          DOI: 10.21037/tcr-21-1441

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

According to global cancer statistics in 2018, there were about 1.8 million new cases of colorectal cancer (CRC) and 861,663 new deaths (1). Approximately one third of CRC patients have distant metastasis, most commonly in the liver, and the 5-year overall survival rate is only 12.5% (2,3). Only 15% of cases in CRC patients with distant metastasis are considered resectable, and over 50% relapse within 2 years (4,5). Because the molecular mechanisms of CRC are still not well understood, existing treatment methods are insufficient for metastatic patients (6). Therefore, it is necessary to investigate the molecular pathogenesis underlying the development and progression of CRC to identify novel therapeutic targets. Cleavage factor Im 25 (CFIm25) is a key regulator of Alternative polyadenylation (APA), and is a 25 kDa subunit of cleavage factor Im, encoded by gene NUDT21; its core component is the typical Nudix structure, which can bind the UGUA element of pre-mRNA and promote the formation of an APA initiation complex by conferring the surface residue with a negative charge, and then playing the role of a cleavage factor (7,8). Alternative polyadenylation is a phenomenon in which the pre-mRNA is cleaved at different polyadenylation sites in the 3' end untranslated region (3'UTR) and added to an untemplated poly(A) tract, causing the expression of substantial isoforms of mRNA with differing 3'UTR lengths, which are controlled by the downstream element (GUGU) (9), There are many sequence elements regulated by miRNA in the 3'UTR (10); therefore, APA can promote escape from miRNA inhibition by shortening the 3'UTR of genes and increasing gene expression, thus affecting the progress and prognosis of seven types of carcinoma (11). The CFIm25 protein has multiple polyadenylation sites in its 3'UTR and can regulate APA site selection. The decreased expression of CFIm25 protein causes the poly(A) site to transfer from a distal location to proximal a proximal one, resulting in a shortened mRNA 3'UTR (12). Weng et al. found that the decreased expression of CFIm25 can result in the loss of miRNA sites by shortening the 3'UTR of target genes, causing these genes to escape inhibition by miRNA and become overexpressed, thereby promoting the proliferation of fibroblasts; conversely, overexpression of CFIm25 can lengthen the 3'UTR of target genes, reducing their expression and inhibiting the proliferation of fibroblasts (13). CFIm25 is also reported to participate in the progression and prognosis of carcinoma. CFIm25 can inhibit the growth of non-small cell lung cancer cells (14). Furthermore, CFIm25 not only plays a role in solid tumors but also in leukemia (15). Whether CFIm25 is associated with survival in patients with CRC remains unclear. Therefore, we examined the expression of CFIm25 in CRC to explore its role. We present the following article in accordance with the REMARK reporting checklist (available at https://dx.doi.org/10.21037/tcr-21-1441).

Methods

Patient specimens

The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Medical Ethics Committee of Jiangmen Central Hospital (2021-8), and individual consent for this retrospective analysis was waived. A total of 363 cases of CRC (209 men and 154 women) were collected during surgical resection at Jiangmen Central Hospital between 2010 and 2011. The mean age was 60. The follow-up of all patients was censored on February 2021. The eligibility criteria of the present study were as follows: CRC was the only primary tumor; no secondary primary tumor; no history of chemotherapy, radiotherapy, or surgery before the resection of CRC; the tissue was suitable for immunohistochemical examination. All cases were classified by an attending pathologist according to the World Health Organization (WHO) Classification of Tumors of the Digestive System. Tumor, node, and metastasis (TNM) staging was performed according to the American Joint Committee on Cancer (AJCC) cancer staging manual (Eighth Edition).

Tissue microarray (TMA) and immunohistochemistry (IHC)

All CRC tissues were fixed with 10% neutral buffered formalin (NBF) at room temperature for 48 h. TMAs were generated from paraffin-embedded tissue blocks according to the standard EnVision Tissue Microarray protocol. Three samples with a diameter of 1.5 mm were punched from the carcinoma areas of each sample and transferred into the TMA. Three-micrometer TMA sections were used for the IHC sections. After dewaxing with xylene and rehydration in a descending alcohol series and distilled water, the sections were incubated in 3% hydrogen peroxide for 10 min to block endogenous peroxidase activity, which was carried out at room temperature. To recover the antigen, the sections were immersed in citric acid buffer solution (pH 9.0) and pressure-cooked at 100 °C for 3 min. The sections were incubated with a CFIm25 primary antibody (Mouse monoclonal antibody; OTI13H1, LSBio) at a dilution of 1:200 for 50 min at 37 °C in an incubator. They were then washed with buffer and the secondary antibody was added (undiluted; rabbit. no. K5007; Dako; Agilent Technologies, Inc., Santa Clara, CA, USA) for 30 min at 37 °C in an incubator. Staining was performed using 3,3-diaminoaniline. The sections were then counterstained with hematoxylin, dehydrated, then immersed in xylene. Finally, the sections were sealed with neutral balsam. Thyroid tissue was used as the positive control, which was sourced from paraffin-embedded tissue specimens that had been archived following pathological diagnosis. The negative control used 0.02 mol/L PBS instead of the primary antibody to incubate sections.

IHC evaluation

The Aperio AT2 (Leica Microsystems B.V., Wetzlar, Germany) scanner was used to digitally capture images of the stained sections. Two attending pathologists independently evaluated the expression of CFIm25 after imaging the stained sections. The dye strength was evaluated as negative “−”, weak “1+”, moderate “2+”, and strong “3+”; the number of positive tumor cells was defined as the percentage of all cells (0–100%). The scoring of each sample was evaluated by multiplying the percentage of positive tumor cells by dye strength, resulting in scores ranging 0–300. The average of the three points was used to calculate the TMA IHC results.

Statistical analysis

SPSS V16.0 (SPSS, Inc.) was used for statistical analysis and survival curve drawing. The associations between CFIm25 expression and clinicopathological variables were calculated using the χ2 test. The Kaplan-Meier method with log-rank test was used to analyze survival. Multivariate analyses were performed using a Cox proportional hazards model. Statistical significance was set at P<0.05. All P values were analyzed bilaterally, and the mean standard deviation was used to present all data.

Results

CFIm25 expression cut-off values

A receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value for CFIm25 expression. The ROC analysis of survival status, pT stage, pN stage, pM stage, vascular invasion, and serosa invasion (), it was found that the highest point of survival status in the ROC curve was the closest point (0.0, 1.0), with the highest sensitivity and specificity, and the best classification efficiency (area under curve, 0.607; P=0.001, ). Taking the survival state as a state variable, 165 was defined as the cut-off value of CFIm25 expression. Values ≥165 indicate overexpression, and those <165 indicate low expression.
Figure 1

The cut-off value of CFIm25 down-regulation in colorectal cancer was determined by ROC curve analysis, and the specificity and sensitivity of each factor were plotted. (A) survival state. (B) pT state. (C) pN state. (D) pM stage. (E) vascular invasion. (F) serosa invasion. CFIm25, Cleavage Factor Im 25; ROC, receiver operating characteristic; AUC, area under cure.

The cut-off value of CFIm25 down-regulation in colorectal cancer was determined by ROC curve analysis, and the specificity and sensitivity of each factor were plotted. (A) survival state. (B) pT state. (C) pN state. (D) pM stage. (E) vascular invasion. (F) serosa invasion. CFIm25, Cleavage Factor Im 25; ROC, receiver operating characteristic; AUC, area under cure.

CFIm25 expression level and correlation with clinicopathological features in CRC patients

CFIm25 was expressed in most CRC patients. All of them are expressed in the nuclei of the tumor cells. According to the cut-off value of 165, 144 (39.7%) cases had overexpression and 219 (60.3%) cases had low expression (). The χ2 test was used for further analysis, finding that CFIm25 expression was significantly associated with vascular invasion (P=0.000), serosal invasion (P=0.007), pT stage (P=0.016), and clinical stage (P=0.007), but not with sex, age, tumor size, nerve invasion, tumor differentiation, infiltration type, pN stage, pM stage, and relapse. All data are presented in . These results indicate that the expression of CFIm25 may be associated with the progression of CRC.
Figure 2

Representative images for CFIm25 protein expressions in colorectal cancer tissues were detected by immunohistochemistry. (A) low expression of CFIm25 protein, ×4 magnification; (B) the higher magnification (×20) image of (A) insert box area. (C) high expression of CFIm25 protein, ×4 magnification. (D) the higher magnification (×20) image of (C) insert box area. CFIm25, Cleavage Factor Im 25.

Table 1

Correlation between CFIm25 expression and clinicopathological features in 363 patients with CRC

VariablesCFIM25 expression
AllLow, n (%)High, n (%)P value
Gender0.287
   Female15488 (57.1)66 (42.9)
   Male209131 (62.7)78 (37.3)
Age10.345
   ≤60 years183106 (57.9)77 (42.1)
   >60 years180113 (62.8)67 (37.2)
Tumor size20.267
   ≤4 cm192121 (63.0)71 (37.0)
   >4 cm17198 (57.3)73 (42.7)
Tumor differentiation0.149
   Well3219 (59.4)13 (40.6)
   Moderate307181 (59.0)126 (41.0)
   Poor2419 (79.2)5 (20.8)
Infiltration type0.494
   Infiltration199 (47.4)10 (52.6)
   Ulcerative206126 (61.2)80 (38.8)
   Uplift13884 (60.9)54 (39.1)
pT stage0.016a
    T1104 (40.0)6 (60.0)
    T28141 (50.6)40 (49.4)
    T310660 (56.6)46 (43.4)
    T4166114 (68.7)52 (31.3)
pN stage0.415
   N0206130 (63.1)76 (36.9)
   N110357 (55.3)46 (44.7)
   N25432 (59.3)22 (40.7)
pM stage0.098
   M0295184 (62.4)111 (37.6)
   M16835 (51.5)33 (48.5)
Clinical stage0.007a
   I6634 (51.5)32 (48.5)
   II12389 (72.4)34 (27.6)
   III10661 (57.5)45 (42.5)
   IV6835 (51.5)33 (48.5)
Relapse0.059
   No287166 (57.8)121 (42.2)
   Yes7653 (69.7)23 (30.3)
Vascular invasion0.000b
   No255139 (54.5)116 (45.5)
   Yes10880 (74.1)28 (25.9)
Nerve invasion0.488
   No 224132 (58.9)92 (41.1)
   Yes13987 (62.6)52 (37.4)
Serosa invasion0.007a
   No195105 (53.8)90 (46.2)
   Yes168114 (67.9)54 (32.1)

Age1: median; Tumor size2: median; aP<0.05; bP<0.001. CFIm25, cleavage factor Im 25; CRC, colorectal cancer.

Representative images for CFIm25 protein expressions in colorectal cancer tissues were detected by immunohistochemistry. (A) low expression of CFIm25 protein, ×4 magnification; (B) the higher magnification (×20) image of (A) insert box area. (C) high expression of CFIm25 protein, ×4 magnification. (D) the higher magnification (×20) image of (C) insert box area. CFIm25, Cleavage Factor Im 25. Age1: median; Tumor size2: median; aP<0.05; bP<0.001. CFIm25, cleavage factor Im 25; CRC, colorectal cancer.

Association between clinicopathological features and survival status of patients with CRC

The univariate survival analysis of this data set revealed that the median survival time of CRC onset was significantly different before and after 60 years of age (P=0.012). The OS values of patients with stage T1, T2, T3, and T4 were 119.50, 115.20, 106.28, and 80.44 months, respectively (P=0.000, ). shows that as the N stage progressed, the OS values of patients with CRC differed significantly (P=0.000; ). Compared with the 105.33 months of stage M0, the OS of stage M1 was 58.79 months, about half of that of stage M0 (P=0.000; ). The OS values of CRC patients with stage I, II, III, IV were 118.45, 108.24, 92.25, and 58.79 months respectively (P=0.000, ). shows that the OS was shorter in patients who had suffered relapse than in those who had not (P=0.000; ). The OS of patients with well-differentiated, moderately differentiated, and poorly differentiated tumors were 113.24, 97.67, and 67.88 months, respectively (P=0.005; ). shows that the OS of patients with vascular invasion was shorter than that of patients without vascular invasion (P=0.000; ). In patients with neural invasion, the OS was 32.5 months shorter than in patients without neural invasion (P=0.000; ). While in patients with serosal invasion, the survival time was only 80.71 months and was 111.46 months in patients without it (P=0.000, ). All data are presented in .
Figure 3

Influence of different prognostic factor on survival time of 363 patients with CRC. Each result was plotted: (A) pT stage, (B) pN stage, (C) pM stage, (D) clinical stage, (E) relapse, (F) tumor differentiation, (G) vascular invasion, (H) nerve invasion, (I) serosa invasion. CRC, colorectal cancer; OS, overall survival.

Table 2

Univariate survival analysis of clinicopathological features in 363 patients with CRC (log-rank test)

VariablesAll casesMean survival (months)Chi-square valueP valued
Gender0.9150.339
   Female15494.34±3.93
   Male20999.33±3.22
Age1, years6.260.012a
   ≤60183102.32±3.41
   >6018091.87±3.62
Tumor size20.1220.727
   ≤4 cm19299.43±3.27
   >4 cm17194.73±3.82
Tumor differentiation7.950.005b
   Well32113.24±6.06
   Moderate30797.67±2.68
   Poor2467.88±11.21
Infiltration type1.7780.182
   Infiltration1982.67±10.56
   Ulcerative20696.20±3.32
   Uplift13899.42±3.95
pT stage31.190.000c
   T110119.50±8.33
   T281115.20±4.04
   T3106106.28±4.04
   T416680.44±3.93
pN stage34.660.000c
   N0206109.05±2.77
   N110388.98±4.85
   N25464.87±7.15
pM stage59.650.000c
   M0295105.33±2.44
   M16858.79±6.38
Clinical stage52.210.000c
   I66118.45±3.81
   II123108.24±3.37
   III10692.25±4.65
   IV6858.79±6.38
Relapse84.670.000c
   No287106.76±2.62
   Yes7659.44±4.52
Vascular invasion64.590.000c
   No255109.61±2.54
   Yes10868.01±4.81
Nerve invasion37.260.000c
   No 224109.26±2.71
   Yes13976.76±4.28
Serosa invasion36.430.000c
   No195111.46±2.85
   Yes16880.71±3.89
CFIm25 expression14.970.000c
   Low21988.53±3.38
   High144110.69±3.32

Age1: median; Tumor size2: median; aP<0.05, bP<0.01, cP<0.001. dLog-rank test. CRC, colorectal cancer; CFIm25, Cleavage Factor Im 25.

Influence of different prognostic factor on survival time of 363 patients with CRC. Each result was plotted: (A) pT stage, (B) pN stage, (C) pM stage, (D) clinical stage, (E) relapse, (F) tumor differentiation, (G) vascular invasion, (H) nerve invasion, (I) serosa invasion. CRC, colorectal cancer; OS, overall survival. Age1: median; Tumor size2: median; aP<0.05, bP<0.01, cP<0.001. dLog-rank test. CRC, colorectal cancer; CFIm25, Cleavage Factor Im 25.

Low CFIm25 expression results in a poorer prognosis

Univariate analysis showed that the OS of patients with high CFIm25 expression was significantly different from that of patients with low CFIm25 expression. The survival time of CRC patients with low CFIm25 expression was only 88.53 months, while the survival time of CRC patients with high CFIm25 expression was 110.69 months (P=0.000, , and ). Further stratified analysis of each clinical feature showed that the expression level of CFIm25 and survival time were significantly different in different subgroups, suggesting that CFIm25 protein has clinical classification function in patients with CRC. In patients with stage I CRC, those with high CFIm25 expression had longer survival than those with low CFIm25 expression (P=0.023, ). Likewise, similar results were found in patients with stage II, III, and IV CRC (P=0.014, ; P=0.027, ; P=0.004, ). Patients with high CFIm25 protein expression in the non-recurrent CRC subgroup had a longer survival time (P=0.002, ), whereas the efficiency of the classifier was not obvious in the relapsed subgroup (P=0.131, ). CFim25 was also found to be a significant classifier for survival analysis in subgroups of CRC patients with no vascular invasion, no nerve invasion, and nerve invasion (P=0.016, ; P=0.016, ; P=0.002, ). Stratified analysis of CFIm25 expression in the subgroup of patients with CRC and serosal invasion also revealed that high CFIm25 expression in patients with CRC and serosal invasion had a longer survival period, while the difference was not significant in the subgroup with no serosal invasion (P=0.057, ; P=0.008, ).
Figure 4

Effect of CFIm25 expression on survival time of 363 patients with CRC in different prognostic factors. Results were plotted: (A) CFIm25, (B) I stage, (C) II stage, (D) III stage, (E) IV stage, (F) relapse (no), (G) relapse (yes), (H) vascular invasion (no), (I) nerve invasion (no), (J) Nerve invasion (yes), (K) serosa invasion (no), (L) serosa invasion (yes). CFIm25, Cleavage Factor Im 25; CRC, colorectal cancer; OS, overall survival.

Effect of CFIm25 expression on survival time of 363 patients with CRC in different prognostic factors. Results were plotted: (A) CFIm25, (B) I stage, (C) II stage, (D) III stage, (E) IV stage, (F) relapse (no), (G) relapse (yes), (H) vascular invasion (no), (I) nerve invasion (no), (J) Nerve invasion (yes), (K) serosa invasion (no), (L) serosa invasion (yes). CFIm25, Cleavage Factor Im 25; CRC, colorectal cancer; OS, overall survival.

Independent prognostic factors for CRC

The Cox risk regression model was used for further analysis, and the results showed that CFIm25 is an independent prognostic factor for CRC (HR, 0.543; 95% CI: 0.372–0.792; P=0.002). In addition, age (HR, 1.455; 95% CI, 1.045–2.026; P=0.027), vascular invasion (HR, 2.240; 95% CI: 1.599–3.138; P=0.000), nerve invasion (HR, 1.827; 95% CI: 1.309–2.550; P=0.000), serosa invasion (HR, 1.470; 95% CI: 1.032–2.094; P=0.033), relapse (HR, 2.776; 95% CI: 1.965–3.922; P=0.000), clinical stage (HR, 1.597; 95% CI: 1.297–1.965; P=0.000) are the independent prognostic factor for patients with CRC. All data are presented in .
Table 3

Multivariate survival analysis of clinicopathological features in CRC

VariableOS
HR (95% CI)P value
Age (>60 vs. ≤60 years)1.455 (1.045–2.026)0.027a
Clinical stage (IV vs. III vs. II vs. I)1.597 (1.297–1.965)0.000c
Relapse (yes vs. no)2.776 (1.965–3.922)0.000c
Vascular invasion (yes vs. no)2.240 (1.599–3.138)0.000c
Nerve invasion (yes vs. no)1.827 (1.309–2.550)0.000c
Serosa invasion (yes vs. no)1.470 (1.032–2.094)0.033a
CFIM25 expression (high vs. low)0.543 (0.372–0.792)0.002b

aP<0.05, bP<0.01, cP<0.001. HR, hazard ratio; OS, overall survival; CI, confidence interval; CRC, colorectal cancer.

aP<0.05, bP<0.01, cP<0.001. HR, hazard ratio; OS, overall survival; CI, confidence interval; CRC, colorectal cancer.

Discussion

In recent years, the mechanism of CFIm25 protein in cancer has been widely studied (16). Previous studies have shown that the CFIm25 protein has multiple poly(A) site within 3'UTR, when CFIm25 protein decreased expression, the poly(A) site can be transferred from a distal position to a proximal one, shortening the 3'UTR of a subset of genes (12). These genes subsequently participate in various signaling pathways, cell proliferation and transformation, and the competing-endogenous RNA (ceRNA) regulatory mechanism (17). This epigenetic mechanism provides a novel direction for cancer treatment. In this study, the expression of CFIm25 protein was detected by IHC in the tissues of patients with CRC, and the clinical data of the patients were retrospectively analyzed. We found that age, serosa invasion, vascular invasion, nerve invasion, relapse, clinical stage, and CFIm25 were independent prognostic factors for CRC. Studies have reported that serosal invasion is a predictor of gastric cancer recurrence and peritoneal metastasis (18,19). However, sufficient attention has not been paid to serosal invasion in CRC, and this study once again confirmed that serosal invasion was involved in the progression and prognosis of CRC. Therefore, this may result in a higher risk factor for CRC patients. A previous study showed that decreased expression of CFIm25 protein is involved in cellular pluripotency reprogramming and malignant transformation through cancer-related pathways (20). In glioblastoma, the decreased expression of CFIm25 protein shortened the 3'UTR of PAK1 and overexpressed PAK1, then promote the progression of carcinoma by activating the PAK1-RAS signaling pathway (21). In lung cancer, the decreased CFIm25 expression shortens the 3'UTR of cyclinD1 and activates the cyclinD1 pathway to promote tumor cell proliferation (22). Interestingly, studies have shown that the 3'UTR of glutaminase (GLS) is also regulated by CFIm25, and the decreased CFIm25 expression can regulate the GAC:KGA isotype ratio to change GLS metabolism and provide nutrients for proliferating cells to promote the progression of carcinoma (23,24). These studies showed that decreased expression of CFIm25 protein can promote the proliferation of tumor cells. Similar results were found in our study: CFIm25 acted as a tumor suppressor gene. CRC patients with decreased or increased CFIm25 expression had shorter or longer survival times, respectively. The CFIm25 protein is an independent prognostic factor for CRC, but its molecular mechanism remains unclear. Masamha et al. performed RNA sequencing analysis of APA in gliomas, and revealed that knockdown of CFIm25 resulted in at least 1,450 genes with shorter 3'UTRs and a significant increase in the expression of some known oncogenes (25). Another study showed decreased CFIm25 expression can use the proximal poly(A) site to shorten the 3'UTR and result in the loss of miRNA binding sites, causing target genes to escape inhibition by miRNA and overexpression, promoting the proliferation of hepatoma cells (26). Tan et al. found a similar mechanism in hepatocellular carcinoma: the overexpression of CFIm25 protein can transfer the poly(A) site of PSMB2 and CXXC5 to the distal end, produce a longer subtype of 3'UTR, reduce the expression of PSMB2 and CXXC5, and finally inhibit the proliferation, metastasis, and tumorigenesis of hepatocellular carcinoma (27). In bladder cancer, the overexpression of CFIm25 elongated the 3'UTRs of ANXA2 (annexin A2) and LIMK2 (lim domain kinase 2), thus reducing the expression of these genes, leading to the inhibition of Wnt/β-catenin and NF-κB signaling pathways, and inhibiting the progression of bladder cancer (28). Another study reported that in cervical cancer, decreased CFIm25 expression can shorten the 3'UTR of WNT10B and HMGB1, and the expression of these genes was negatively correlated with CFIm25 expression, when then activates the Wnt/β-catenin and NF-κB signaling pathways to promote carcinoma progression (29). In breast cancer, decreased expression of CFIm25 can shorten the 3'UTR of a subset of genes while causing the loss ofmiRNA target sites and promoting tumor cell proliferation (30). These findings suggest that CFIm25 plays a dual role as a tumor suppressor and cancer promoter in the development and progression of tumors. Morris et al. found that APA can greatly shorten the 3'UTR in the malignant transformation process of CRC (31). Therefore, we hypothesized that there would be a similar mechanism of action for CFIm25 in the development of CRC. The decreased expression of CFIm25 may shorten the 3'UTR of a subset of genes, causing the 3'UTR to lose its miRNA site. Then, the genes can escape the inhibition by miRNA and become overexpressed, and then activate the ceRNA pathway, which promotes the progression of CRC. The molecular mechanism of CFIm25 in CRC remains to be further explored. In summary, this study showed that decreased expression of CFIm25 indicates a worse prognosis for CRC patients, which suggests that CFIm25 may be a novel potential biomarker for CRC in the future.
  31 in total

1.  Structural basis of UGUA recognition by the Nudix protein CFI(m)25 and implications for a regulatory role in mRNA 3' processing.

Authors:  Qin Yang; Gregory M Gilmartin; Sylvie Doublié
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-17       Impact factor: 11.205

2.  Suppression of cleavage factor Im 25 promotes the proliferation of lung cancer cells through alternative polyadenylation.

Authors:  Jingjing Huang; Tingting Weng; Junsuk Ko; Ning-Yuan Chen; Yu Xiang; Kelly Volcik; Leng Han; Michael R Blackburn; Xiang Lu
Journal:  Biochem Biophys Res Commun       Date:  2018-06-23       Impact factor: 3.575

3.  Cleavage factor 25 deregulation contributes to pulmonary fibrosis through alternative polyadenylation.

Authors:  Tingting Weng; Junsuk Ko; Chioniso P Masamha; Zheng Xia; Yu Xiang; Ning-Yuan Chen; Jose G Molina; Scott Collum; Tinne C Mertens; Fayong Luo; Kemly Philip; Jonathan Davies; Jingjing Huang; Cory Wilson; Rajarajan A Thandavarayan; Brian A Bruckner; Soma Sk Jyothula; Kelly A Volcik; Lei Li; Leng Han; Wei Li; Shervin Assassi; Harry Karmouty-Quintana; Eric J Wagner; Michael R Blackburn
Journal:  J Clin Invest       Date:  2019-02-28       Impact factor: 14.808

4.  Rates and patterns of recurrence following curative intent surgery for colorectal liver metastasis: an international multi-institutional analysis of 1669 patients.

Authors:  Mechteld C de Jong; Carlo Pulitano; Dario Ribero; Jennifer Strub; Gilles Mentha; Richard D Schulick; Michael A Choti; Luca Aldrighetti; Lorenzo Capussotti; Timothy M Pawlik
Journal:  Ann Surg       Date:  2009-09       Impact factor: 12.969

5.  Downregulation of NUDT21 contributes to cervical cancer progression through alternative polyadenylation.

Authors:  Yifei Xing; Liang Chen; Haifeng Gu; Chenlu Yang; Jun Zhao; Zhaohui Chen; Ming Xiong; Gallina Kazobinka; Yaqiong Liu; Teng Hou
Journal:  Oncogene       Date:  2021-02-22       Impact factor: 9.867

6.  Nudt21 regulates the alternative polyadenylation of Pak1 and is predictive in the prognosis of glioblastoma patients.

Authors:  Yuan Chu; Nathan Elrod; Chaojie Wang; Lei Li; Tao Chen; Andrew Routh; Zheng Xia; Wei Li; Eric J Wagner; Ping Ji
Journal:  Oncogene       Date:  2019-01-31       Impact factor: 9.867

7.  NUDT21 regulates 3'-UTR length and microRNA-mediated gene silencing in hepatocellular carcinoma.

Authors:  Meng Sun; Junyao Ding; Dali Li; Guoping Yang; Zeneng Cheng; Qubo Zhu
Journal:  Cancer Lett       Date:  2017-09-28       Impact factor: 8.679

8.  Pathological serosa and node-based classification accurately predicts gastric cancer recurrence risk and outcome, and determines potential and limitation of a Japanese-style extensive surgery for Western patients: a prospective with quality control 10-year follow-up study.

Authors:  D H Roukos; M Lorenz; K Karakostas; P Paraschou; C Batsis; A M Kappas
Journal:  Br J Cancer       Date:  2001-06-15       Impact factor: 7.640

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Journal:  Theranostics       Date:  2019-09-23       Impact factor: 11.556

10.  CFIm25 regulates glutaminase alternative terminal exon definition to modulate miR-23 function.

Authors:  Chioniso P Masamha; Zheng Xia; Natoya Peart; Scott Collum; Wei Li; Eric J Wagner; Ann-Bin Shyu
Journal:  RNA       Date:  2016-04-19       Impact factor: 4.942

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