J Cancer 2019; 10(1):178-185. doi:10.7150/jca.26391 This issue Cite
Research Paper
1. Department of Hematology, Huaihe Hospital of Henan University, Kaifeng, 475000, China
2. Translational Medicine Center, Huaihe Hospital of Henan University, Kaifeng, 475000, China
3. Department of Hematology and Lymphoma Research Center, Peking University, Third Hospital, Beijing, 100191, China
4. Department of Medicine, William Beaumont Hospital, Royal Oak, MI 48073, USA
5. Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing, 100853, China
6. Department of Medical Big Data, Chinese PLA General Hospital, Beijing, 100853, China
It has been demonstrated that microRNA-98 (miR-98) is dysregulated in multiple types of solid tumors, but its expression and impact in acute myeloid leukemia (AML) is unclear. To explore the prognostic role of miR-98 in AML, 164 AML patients with the miR-98 expression data were extracted from The Cancer Genome Atlas (TCGA) database and enrolled in this study. First, patients were divided into chemotherapy-only (chemotherapy) group and allogeneic hematopoietic stem cell transplant (allo-HSCT) group. Each group was then divided in two groups by the median expression level of miR-98. In chemotherapy group, high miR-98 expression was associated with longer event-free survival (EFS, P = 0.003) and overall survival (OS, P = 0.004), but in allo-HSCT group, EFS and OS were not significantly different between high and low miR-98 expressers. Second, All patients were divided in two groups by the median expression level of miR-98. In low miR-98 expressers, those treated with allo-HSCT had longer EFS (P = 0.001) and OS (P < 0.001) than chemotherapy, but in high miR-98 expressers, survival was independent from treatment modalities. Gene ontology enrichment analysis indicated that the genes associated with miR-98 expression were mainly concentrated in “definitive hemopoiesis”, “negative regulation of myeloid cell differentiation” and “signaling pathways regulating pluripotency of stem cells” pathways. In conclusion, our results indicated that high miR-98 expression confers good prognosis in AML patients treated with chemotherapy alone. Patients with low miR-98 expression may benefit from allo-HSCT.
Keywords: Acute myeloid leukemia, MiR-98, Allogeneic hematopoietic stem cell transplantation, Chemotherapy, Prognosis
The vast genetic heterogeneity is not only characteristic of acute myeloid leukemia (AML) [1] but also has important prognostic implications. For example, NPM1 mutation without positive FLT3-ITD is a good prognostic factor in cytogenetically normal AML (CN-AML) [2,3], while the latter is a poor prognostic factor [4]. DNMT3A and TP53 mutations are both negative prognostic factors in AML [5,6]. Double CEBPA mutation is associated with favorable prognosis in CN-AML patients [7].
MicroRNAs (miRNAs) are short noncoding RNAs that regulate genes post-transcriptionally and play an important role in various physiological and developmental processes such as cell proliferation and differentiation, development, and apoptosis, all of which are frequently affected in cancer [8,9]. Growing number of studies are demonstrating that the dysregulation of miRNAs is associated with the development and progression of many cancers including leukemia, and may provide useful prognostic information [10-13]. For instance, higher levels of miR-155 and lower levels of miR-181a are independently associated with shorter survival in CN-AML patients [14]. MiR-29a and miR-29b can induce apoptosis in AML by targeting apoptosis gene MCL-1 [15]. MiR-9 and miR-196b play essential oncogenic roles in mixed lineage leukemia-rearranged AML [16]. High miR-99a expression and low miR-215 expression are associated with worse clinical outcome in AML [17,18].
MiR-98 belongs to the let-7 families that have been shown to be down-regulated in high-risk ovarian cancer, lung cancer, melanoma and other solid tumors [19-22]. Previous study found that let-7b and let-7c were tumor suppressors and would be down-regulated in AML with t(8;21) or inv(16) [23]. Here, we retrospectively studied the association between miR-98 expression and survival in AML patients to help elucidating its clinical and prognostic implications.
A total of 164 AML patients with miR-98 expression data were identified in The Cancer Genome Atlas (TCGA) database (https://cancergenome.nih.gov/) and enrolled in this study [24]. Ninety patients were treated with chemotherapy alone, and other 74 also received allogeneic hematopoietic stem cell transplant (allo-HSCT). All clinical and molecular information including miR-98 expression levels were publicly accessible from the TCGA website. All patients provided written informed consent; the research was approved by the Human Research Ethics Committee of Washington University. Primary endpoints were event-free survival (EFS) and overall survival (OS). EFS was defined as the time from diagnosis to removal from the study due to the absence of complete remission, relapse or death or was censored at the last follow-up. OS was defined as the time from diagnosis to death or was censored at the last follow-up.
All statistical analyses were performed by SPSS software 20.0 and GraphPad Prism software 5.0. The clinical and molecular characteristics of patients were summarized using descriptive statistics. The Mann-Whitney U test and the chi-square test were used to compare continuous and categorical data between the two groups, respectively. The EFS and OS rates were estimated using the Kaplan-Meier method and compared using the log-rank test. Cox proportional hazard models were constructed for uni- and multivariate analyses to identify the association between each clinical and molecular variable and survival. For all statistical analyses, P values were two-sided and P < 0.05 was considered significant.
Patients were divided into two groups based on the treatment they received chemotherapy group and allo-HSCT group. Each group was then divided into two groups by the median expression level of miR-98. The clinical and molecular characteristics of each group were detailed in Table 1.
In the chemotherapy group, high miR-98 expressers had lower percentages of bone marrow (BM) blasts (P = 0.048), more good-risk patients (P = 0.002) and fewer intermediate-risk patients (P = 0.011) than low expressers. Six patients among the high expressers harbored RUNX1-RUNX1T, whereas it was not found in low expressers (P = 0.026). High expressers had less in NPM1 (P = 0.001) and DNMT3A (P = 0.002) mutations. No significant differences were found in age, gender distribution, WBC counts, peripheral blood (PB) blasts, French-American-British (FAB) classification, frequency of other recurrent genetic mutations (FLT3-ITD, CEBPA, IDH1/IDH2, RUNX1, MLL-PTD, TP53, NRAS/KRAS and TET2) and relapse rate between high and low miR-98 expression groups.
In the allo-HSCT group, high miR-98 expressers had younger (P = 0.043), more poor-risk (P = 0.047), and fewer intermediate-risk patients (P = 0.002) than low expressers. High expressers had less NPM1 (P < 0.001) and DNMT3A mutations (P = 0.007). No significant differences were found in gender distribution, BM blasts, FAB classification, karyotypes, frequency of other recurrent genetic mutations (FLT3-ITD, CEBPA, IDH1/IDH2, RUNX1, MLL-PTD, NRAS/KRAS, TET2 and TP53) and relapse rate between high and low miR-98 expression groups.
Clinical and molecular characteristics of patients in different treatment groups
Characteristics | Chemotherapy group | Allo-HSCT group | |||||
---|---|---|---|---|---|---|---|
High miR-98 (n = 45) | Low miR-98 (n = 45) | P | High miR-98 (n = 37) | Low miR-98 (n = 37) | P | ||
Age/years, median (range) | 66 (22-88) | 67 (31-83) | 0.781* | 45 (18-72) | 56 (21-69) | 0.043* | |
Age group/n (%) | 0.822§ | 0.116§ | |||||
< 60 years | 14 (31.1) | 15 (33.3) | 30 (81.1) | 24 (64.9) | |||
≥ 60 years | 31 (68.9) | 30 (66.7) | 7 (18.9) | 13 (35.1) | |||
Gender/n (%) | 0.396§ | 0.159§ | |||||
Male | 27 (60.0) | 23 (51.1) | 24 (64.9) | 18 (48.6) | |||
Female | 18 (40.0) | 22 (48.9) | 13 (35.1) | 19 (51.4) | |||
WBC/×109/L, median (range) | 14 (1.0-131.5) | 36 (0.7-298.4) | 0.062* | 29.4(1.2-223.8) | 29.4(0.6-202.7) | 0.510* | |
BM blast/%, median (range) | 69 (30-91) | 76 (32-99) | 0.048* | 71 (30-99) | 75 (35-100) | 0.210* | |
PB blast/%, median (range) | 25 (0-97) | 46 (0-98) | 0.508* | 48.5 (0-94) | 45 (0-96) | 0.699* | |
FAB subtypes/n (%) | |||||||
M0 | 2 (4.4) | 6 (13.3) | 0.266§ | 3 (8.1) | 6 (16.2) | 0.479§ | |
M1 | 11 (24.4) | 9 (20.0) | 0.612§ | 11 (29.7) | 12 (32.4) | 0.802§ | |
M2 | 14 (31.1) | 7 (15.6) | 0.081§ | 10 (27.0) | 9 (24.3) | 0.790§ | |
M3 | 0 (0.0) | 0 (0.0) | 1 (2.7) | 1 (2.7) | 1.000§ | ||
M4 | 12 (26.7) | 12 (26.7) | 1.000§ | 9 (24.3) | 5 (13.5) | 0.235§ | |
M5 | 5 (11.1) | 8 (17.6) | 0.368§ | 1 (2.7) | 3 (8.1) | 0.615§ | |
M6 | 1 (2.2) | 1 (2.2) | 1.000§ | 1 (2.7) | 0 (0.0) | 1.000§ | |
M7 | 0 (0.0) | 2 (4.4) | 0.494§ | 1 (2.7) | 1 (2.7) | 1.000§ | |
Karyotype/n (%) | |||||||
Normal | 18 (40.0) | 26 (57.8) | 0.092§ | 11 (29.7) | 23 (62.2) | 0.005§ | |
Complex | 7 (15.6) | 5 (11.1) | 0.535§ | 7 (18.9) | 5 (13.5) | 0.528§ | |
8 Trisomy | 0 (0.0) | 0 (0.0) | 3 (8.1) | 3 (8.1) | 1.000§ | ||
inv(16)/CBFβ-MYH11 | 6 (13.3) | 1 (2.2) | 0.110§ | 5 (13.5) | 0 (0.0) | 0.054§ | |
11q23/MLL | 3 (6.7) | 0 (0.0) | 2 (5.4) | 1 (2.7) | 1.000§ | ||
-7/7q- | 0 (0.0) | 3 (6.7) | 0.242§ | 2 (5.4) | 1 (2.7) | 1.000§ | |
t(15;17)/PML-RARA | 0 (0.0) | 0 (0.0) | 1 (2.7) | 1 (2.7) | 1.000§ | ||
t(9;22)/BCR-ABL1 | 1 (2.2) | 0 (0.0) | 1.000§ | 2 (5.4) | 0 (0.0) | 0.493§ | |
t(8;21)/RUNX1-RUNX1T1 | 6 (13.3) | 0 (0.0) | 0.026§ | 0 (0.0) | 1 (2.7) | 1.000§ | |
Others | 4 (8.9) | 10 (22.2) | 0.144§ | 4 (10.8) | 2 (5.4) | 0.674§ | |
Risk/n (%) | |||||||
Good | 12 (26.7) | 1 (2.3) | 0.002§ | 6 (16.7) | 2 (5.4) | 0.261§ | |
Intermediate | 19 (42.2) | 31 (72.1) | 0.011§ | 14 (38.9) | 27 (73.0) | 0.002§ | |
Poor | 14 (31.1) | 11 (25.6) | 0.480§ | 16 (44.4) | 8 (21.6) | 0.047§ | |
FLT3-ITD/n (%) | 0.270§ | 0.782§ | |||||
Positive | 6 (13.3) | 10 (22.2) | 8 (21.6) | 9 (24.3) | |||
Negative | 39 (86.7) | 35 (77.8) | 29 (78.4) | 28 (75.7) | |||
NPM1/n (%) | 0.001§ | 0.000§ | |||||
Mutation | 7 (15.6) | 22 (48.9) | 1 (2.7) | 19 (51.4) | |||
Wildtype | 38 (84.4) | 23 (51.1) | 36 (97.3) | 18 (48.6) | |||
CEBPA/n (%) | 0.557§ | 0.305§ | |||||
Single mutation | 2 (4.4) | 1 (2.2) | 4 (10.8) | 1 (2.7) | |||
Double mutation | 0 (0.0) | 0 (0.0) | 2 (5.4) | 1 (2.7) | |||
Wild type | 43 (95.6) | 44 (97.8) | 31 (83.8) | 35 (94.6) | |||
DNMT3A/n (%) | 0.002§ | 0.007§ | |||||
Mutation | 6 (13.3) | 19 (42.2) | 4 (10.8) | 14 (37.8) | |||
Wildtype | 39 (86.7) | 26 (57.8) | 33 (89.2) | 23 (62.2) | |||
IDH1/IDH2/n (%) | 0.098§ | 0.104§ | |||||
Mutation | 11 (24.4) | 5 (11.1) | 6 (16.2) | 12 (32.4) | |||
Wildtype | 34 (75.6) | 40 (88.9) | 31 (83.8) | 25 (67.6) | |||
RUNX1/n (%) | 1.000§ | 1.000§ | |||||
Mutation | 4 (8.9) | 4 (8.9) | 4 (10.8) | 4 (10.8) | |||
Wildtype | 41 (91.1) | 41 (91.1) | 33 (89.2) | 33 (89.2) | |||
MLL-PTD/n (%) | 1.000§ | 0.615§ | |||||
Presence | 3 (6.7) | 2 (4.4) | 3 (8.1) | 1 (2.7) | |||
Absence | 42 (93.3) | 43 (95.6) | 34 (91.9) | 36 (97.3) | |||
NRAS/KRAS/n (%) | 0.345§ | 0.430§ | |||||
Mutation | 8 (18.2) | 5 (11.1) | 2 (5.4) | 5 (13.5) | |||
Wildtype | 36 (81.8) | 40 (88.9) | 35 (94.6) | 32 (86.5) | |||
TET2/n (%) | 1.000§ | 1.000§ | |||||
Mutation | 6 (13.3) | 6 (13.3) | 2 (5.4) | 2 (5.4) | |||
Wildtype | 39 (86.7) | 39 (86.7) | 35 (94.6) | 35 (94.6) | |||
TP53/n (%) | 0.748§ | 1.000§ | |||||
Mutation | 6 (13.3) | 5 (11.1) | 2 (5.4) | 2 (5.4) | |||
Wildtype | 39 (86.7) | 40 (88.9) | 35 (94.6) | 35 (94.6) | |||
Relapse/n (%) | 0.078§ | 1.000§ | |||||
Yes | 12 (26.7) | 20 (44.4) | 12 (32.4) | 12 (32.4) | |||
No | 33 (73.3) | 25 (55.6) | 25 (67.6) | 25 (67.6) |
Abbreviations: WBC, white blood cell; BM, bone marrow; PB, peripheral blood; FAB, French American British. '*' denotes Mann-Whitney U test; '§' denotes chi-square test.
Kaplan-Meier curves of EFS and OS in chemotherapy group and allo-HSCT group. (A, B) In chemotherapy group, high miR-98 expressers had longer EFS and OS than low expressers. (C, D) EFS and OS were not significantly different between high miR-98 expression group and low expression group in allo-HSCT group.
Survival analyses were estimated using the Kaplan-Meier method. In chemotherapy group, high miR-98 expressers had a longer EFS (P = 0.003) and OS (P = 0.004; Figure 1A and 1B) compared with low expressers, but EFS and OS were not significantly different between high miR-98 expression group and low expression group in allo-HSCT group (Figure 1C and 1D).
To assess the prognostic significance of clinical and molecular characteristics, we chose miR-98 expression levels (low vs. high), age (< 60 vs. ≥ 60 years), WBC counts (< 20×109/L vs. ≥ 20×109/L), FLT3-ITD (positive vs. negative) and NPM1 (mutated vs. wild), DNMT3A (mutated vs. wild) to do survival analysis.
In the chemotherapy group, univariate analysis indicated that low miR-98 expression and age ≥ 60 years were unfavorable for both EFS and OS (all P < 0.01). Multivariate analysis showed that low miR-98 expression and age ≥ 60 years were independent risk factors for both EFS and OS (all P < 0.05). WBC counts and other genetic abnormalities (FLT3-ITD, NPM1, DNMT3A) had no significant effect on EFS and OS (Table 2).
In the allo-HSCT group, univariate and multivariate analyses all indicated that miR-98 had no association with EFS and OS. Other clinical and molecular parameters also had no impact on EFS and OS in this group (Table 3).
In all patients, multivariate analysis indicated that allo-HSCT and age < 60 years were independent favorable factors for both EFS and OS (all P < 0.05) (Table 4).
Uni- and multivariate analyses for EFS and OS in chemotherapy-only group
Variables | EFS | OS | |||
---|---|---|---|---|---|
HR (95%CI) | P-value | HR (95%CI) | P-value | ||
Univariate analyses | |||||
MiR-98 (high vs. low) | 0.516 (0.321-0.829) | 0.006 | 0.522 (0.324-0.841) | 0.008 | |
Age (< 60 vs. ≥ 60 years) | 3.588 (2.005-6.421) | 0.000 | 3.423 (1.919-6.106) | 0.000 | |
WBC (< 20 vs. ≥ 20×109/L) | 1.037 (0.655-1.644) | 0.876 | 1.068 (0.674-1.693) | 0.779 | |
FLT3-ITD (positive vs. negative) | 1.261 (0.703-2.260) | 0.436 | 1.192 (0.665-2.136) | 0.555 | |
NPM1 (mutated vs. wild type) | 1.120 (0.687-1.827) | 0.649 | 1.044 (0.640-1.704) | 0.862 | |
DNMT3A (mutated vs. wild type) | 1.407 (0.852-2.322) | 0.182 | 1.432 (0.868-2.362) | 0.160 | |
Multivariate analyses | |||||
MiR-98 (high vs. low) | 1.796 (1.041-3.100) | 0.035 | 1.739 (1.005-3.009) | 0.048 | |
Age (< 60 vs. ≥ 60 years) | 3.681 (2.036-6.657) | 0.000 | 3.411 (1.889-6.158) | 0.000 | |
WBC (< 20 vs. ≥ 20×109/L) | 1.190 (0.721-1.965) | 0.496 | 1.160 (0.703-1.913) | 0.562 | |
FLT3-ITD (positive vs. negative) | 0.893 (0.491-1.626) | 0.712 | 1.035 (0.565-1.895) | 0.913 | |
NPM1 (mutated vs. wild type) | 1.175 (0.647-2.133) | 0.596 | 1.326 (0.726-2.420) | 0.359 | |
DNMT3A (mutated vs. wild type) | 0.747 (0.423-1.320) | 0.316 | 0.692 (0.399-1.201) | 0.191 |
Abbreviations: EFS, event-free survival; OS, overall survival; HR, hazard ratio; CI, confidence interval; WBC, white blood cell.
Uni- and multivariate analyses for EFS and OS in allo-HSCT group
Variables | EFS | OS | |||
---|---|---|---|---|---|
HR (95%CI) | P-value | HR (95%CI) | P-value | ||
Univariate analyses | |||||
MiR-98 (high vs. low) | 1.273 (0.749-2.163) | 0.372 | 1.143 (0.673-1.941) | 0.620 | |
Age (< 60 vs. ≥ 60 years) | 1.042 (0.581-1.868) | 0.890 | 1.448 (0.807-2.599) | 0.215 | |
WBC (< 20 vs. ≥ 20×109/L) | 0.754 (0.442-1.285) | 0.299 | 0.985 (0.578-1.680) | 0.956 | |
FLT3-ITD (positive vs. negative) | 1.719 (0.915-3.229) | 0.092 | 1.588 (0.848-2.972) | 0.148 | |
NPM1 (mutated vs. wild type) | 0.907 (0.494-1.666) | 0.753 | 0.910 (0.495-1.671) | 0.761 | |
DNMT3A (mutated vs. wild type) | 1.184 (0.643-2.178) | 0.588 | 1.320 (0.715-2.438) | 0.374 | |
Multivariate analyses | |||||
MiR-98 (high vs. low) | 0.818 (0.437-1.533) | 0.531 | 0.740 (0.392-1.400) | 0.355 | |
Age (< 60 vs. ≥ 60 years) | 1.193 (0.637-2.232) | 0.581 | 1.531 (0.820-2.860) | 0.181 | |
WBC (< 20 vs. ≥ 20×109/L) | 1.372 (0.767-2.454) | 0.286 | 1.075 (0.605-1.907) | 0.806 | |
FLT3-ITD (positive vs. negative) | 0.529 (0.260-1.075) | 0.078 | 0.559 (0.274-1.139) | 0.109 | |
NPM1 (mutated vs. wild type) | 1.351 (0.630-2.896) | 0.439 | 1.240 (0.579-2.654) | 0.580 | |
DNMT3A (mutated vs. wild type) | 0.785 (0.410-1.506) | 0.467 | 0.646 (0.333-1.255) | 0.197 |
Abbreviations: EFS, event-free survival; OS, overall survival; Allo-HSCT, allogeneic hematopoietic stem cell transplantation; HR, hazard ratio; CI, confidence interval; WBC, white blood cell.
Multivariate analyses for EFS and OS based on all patients
Variables | EFS | OS | |||
---|---|---|---|---|---|
HR (95%CI) | P-value | HR (95%CI) | P-value | ||
MiR-98 (high vs. low) | 1.405 (0.945-2.089) | 0.093 | 1.465 (0.979-2.192) | 0.064 | |
Age (< 60 vs. ≥ 60 years) | 2.254 (1.543-3.293) | 0.000 | 2.358 (0.820-2.860) | 0.000 | |
WBC (< 20 vs. ≥ 20×109/L) | 1.349 (0.927-1.963) | 0.118 | 1.177 (0.811-1.709) | 0.391 | |
FLT3-ITD (positive vs. negative) | 0.781 (0.502-1.215) | 0.273 | 0.886 (0.565-1.389) | 0.597 | |
NPM1 (mutated v wild type) | 1.240 (0.788-1.952) | 0.352 | 1.327 (0.840-2.098) | 0.226 | |
DNMT3A (mutated v wild type) | 0.731 (0.484-1.103) | 0.136 | 0.685 (0.455-1.031) | 0.070 | |
Chemotherapy vs. allo-HSCT | 1.459 (1.015-2.097) | 0.041 | 1.765 (1.219-2.556) | 0.003 |
Abbreviations: EFS, event-free survival; OS, overall survival; HR, hazard ratio; CI, confidence interval; WBC, white blood cell; Allo-HSCT, allogeneic hematopoietic stem cell transplantation.
We also divided all patients into two groups based on median expression level of miR-98. In the low miR-98 expressers, allo-HSCT treatment were associated with longer EFS and OS than chemotherapy-alone (P = 0.001, P < 0.001, respectively; Figure 2A and 2B), but EFS and OS were not significantly different in high miR-98 expressers (Figure 2C and 2D).
To further assess the role of miR-98 in AML, we derived miR-98-associated miRNA and gene expression profiles by high throughput sequencing from TCGA data. First, we found 251 up-regulated and 26 down-regulated miRNAs that were significantly associated with miR-98 expression (P < 0.05, fold change = 1.5, Figure 3A). Second, we identified 277 genes were positively correlated with miR-98 expression, and 256 genes were negatively correlated with miR-98 expression (P < 0.05, fold change = 1.5, Figure 3B). These genes were presented in the aberrant expression heat map (Figure 3C). Further gene ontology (GO) enrichment analysis indicated that the genes associated with miR-98 expression were mainly involved in "embryonic skeletal system morphogenesis", "definitive hemopoiesis", "thyroid gland development", "negative regulation of myeloid cell differentiation", "L1CAM interactions", "signaling pathways regulating pluripotency of stem cells", "drug catabolic process", "sensory perception of sound", and "response to inorganic substance" pathways. (Figure 3D).
Kaplan-Meier curves of EFS and OS in high and low miR-98 expression groups. (A, B) In low expression group, patients treated with allo-HSCT had longer EFS and OS than those treated with chemotherapy-only. (C, D) No significant survival differences were found between chemotherapy group and allo-HSCT group in high miR-98 expressors.
Our study found that high miR-98 expression was more likely to occur in younger and good-risk patients, and more RUNX1-RUNX1T fusion was seen in high miR-98 expression group, suggesting that high miR-98 expression tend to coincide with good-risk AML and may have similar prognostic value as RUNX1-RUNX1T.
In the chemotherapy group, multivariate analysis had proved that low miR-98 expression and age ≥ 60 were independent adverse factors. But in the allo-HSCT group, univariate and multivariate analysis all showed no effect of miR-98 expression on EFS and OS, and in the entire cohort, the low miR-98 expressors who underwent allo-HSCT had longer EFS and OS. In all patients, multivariate analysis indicated that allo-HSCT was independent favorable factor for both EFS and OS. Thus, we speculated that the unfavorable influence of low miR-98 expression might be overcome by allo-HSCT.
The mechanisms of miR-98 in anti-tumorigenesis have been investigated. MiR-98 could suppress breast cancer angiogenesis and invasion by repressing the expression of ALK4 and MMP11 [25]. MiR-98 could also suppress the growth and metastasis of salivary adenoid cystic carcinomas by inhibiting the oncogene NRAS via the regulation of the RAS/MAPK/ERK and PI3K/AKT pathways [26] and suppress cell invasion and migration in glioma by directly targeting Pre-B Cell Leukemia Homeobox 3 [27]. It targeted SALL4 to inhibit proliferation, migration, and invasion of hepatocellular carcinoma [28]. It inhibited melanoma metastasis via inhibiting IL-6 signaling pathway [22]. Mir-98 could negative regulate the expression of tumor suppressor gene FUS1b in lung cancers [29]. In leukemia, it was found that miR-98 upregulation could improve chemotherapy-sensitivity and decrease leukemia cell proliferation by inhibiting E2F1 expression [30]. In the present study, miR-98 is associated with "definitive hemopoiesis", "negative regulation of myeloid cell differentiation", "signaling pathways regulating pluripotency of stem cells", and they play an important role in hematopoiesis, which suggests that miR-98 may play a prognostic role in leukemia by interacting with genes involved in these functional pathways. The detailed mechanism of miR-98 in AML leukemogenesis, however, should require further study.
Genome-wide gene/microRNA expression profile and cell signaling pathways associated with miR-98 expression. (A) Volcano plot of differential microRNA expression. miR-98high and miR-98low were marked by red and green circles, respectively. (B) Volcano plot of differential gene expression. miR-98high and miR-98low were marked by red and green circles, respectively. (C) Expression heatmap of associated with miR-98 expression. (D) Gene ontology (GO) enrichment analysis of genes related to miR-98 expression.
In summary, we found that high miR-98 expression was a good prognostic factor in AML patients who only received chemotherapy. Patients with low miR-98 expression may benefit from allo-HSCT.
This work was supported by grants from the National Natural Science Foundation of China (81500118, 61501519), the China Postdoctoral Science Foundation funded project (project No.2016M600443).
The authors have declared that no competing interest exists.
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Corresponding author: Lin Fu, MD. PhD. Department of Hematology and Lymphoma Research Center, Peking University, Third Hospital, Beijing, 100191, China. E-mail: fulin022com, Tel: +86-10-82267650, Fax: +86-10-82267650. Jinlong Shi, PhD. Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing, 100853, China. E-mail: jinlong_301com, Tel: +86-10-66936921, Fax: +86-10-66936921.
Received 2018-9-10
Accepted 2018-11-9
Published 2019-1-1