Literature DB >> 26918046

Association of Nuclear PIM1 Expression with Lymph Node Metastasis and Poor Prognosis in Patients with Lung Adenocarcinoma and Squamous Cell Carcinoma.

Richeng Jiang1, Xinyue Wang1, Ziliang Jin2, Kai Li1.   

Abstract

Increasing evidence indicates that aberrant expression of PIM1, p-STAT3 and c-MYC is involved in the pathogenesis of various solid tumors, but its prognostic value is still unclear in non-small cell lung cancer (NSCLC). Here, we sought to evaluate the expression and prognostic role of these markers in patients with lung adenocarcinoma (AD) and squamous cell carcinoma (SCC). Real time RT-PCR and Western blotting was used to analyze the mRNA and protein expression of PIM1 in NSCLC cell lines, respectively. The expression of PIM1, p-STAT3, and c-MYC was immunohistochemically tested in archival tumor samples from 194 lung AD and SCC patients. High nuclear PIM1 expression was detected in 43.3% of ADs and SCCs, and was significantly correlated with lymph node (LN) metastasis (P = 0.028) and histology (P = 0.003). High nuclear PIM1 expression (P = 0.034), locally advanced stage (P < 0.001), AD (P = 0.007) and poor pathologic differentiation (P = 0.002) were correlated with worse disease-free survival (DFS). High nuclear PIM1 expression (P = 0.009), advanced clinical stage (P < 0.001) and poor pathologic differentiation (P = 0.004) were independent unfavorable prognostic factors for overall survival (OS). High p-STAT3 expression was not associated with OS but significantly correlated with LN metastasis, while c-MYC was not significantly correlated with any clinicopathological parameter or survival. Therefore, in AD and SCC patients, nuclear PIM1 expression level is an independent factor for DFS and OS and it might serve as a predictive biomarker for outcome.

Entities:  

Keywords:  PIM1; adenocarcinoma; c-MYC; p-STAT3; prognostic factor; squamous cell carcinoma.

Year:  2016        PMID: 26918046      PMCID: PMC4747887          DOI: 10.7150/jca.13422

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Although significant advances in diagnostic and therapeutic approaches have contributed to prolonged survival, NSCLC remains the leading cause of cancer-related death worldwide. Adenocarcinoma (AD) and squamous cell carcinoma (SCC) are the two major histological types of NSCLC. Surgical resection and adjuvant chemotherapy can be effective curative treatments, yet the risk of recurrence of NSCLC still cannot be predicted. Even more, NSCLC is a heterogeneous and complex of disease with alterations of multiple major signaling pathways. Most stimulatory signaling pathways are driven by oncogenes, which shift cells towards malignant transformation, dysregulated proliferation and escape from apoptosis 1. Therefore, large efforts have explored novel molecular biomarkers in order to predict the outcome of NSCLC and potentially provide a novel targeted therapy approach. The pim-1 proto-oncogene encodes PIM1 serine/threonine protein kinase which involved in cell survival, proliferation, apoptosis, and tumorigenesis 2. PIM1 phosphorylated a number of substrates and its overexpression is linked to the development and progression of a wide range of haematological and epithelial tumors. PIM1 has also been shown to contribute to radiation and chemotherapy resistance 3-5. Elevated levels of PIM1 were discovered in human myeloid and lymphoid leukemia and lymphoma tumors as well as in solid tumors 6. Anti-PIM1-specific monoclonal antibody can inhibit tumor growth in vitro and in vivo, and synergistically enhance cytotoxic effects in combination with chemotherapy drugs 7. Previous studies demonstrated PIM1 expression is correlated with poor prognosis in hematopoietic malignancies 8, gastric cancer 9 and squamous cell carcinoma of the head and neck 10. Conversely, PIM1 overexpression has been correlated with a favorable prognosis in pancreatic ductal carcinoma 11 and prostate adenocarcinoma 12. In NSCLC, Warnecke-Eberz et al.13 observed downregulation of PIM1 mRNA and protein expression in lung cancer cells. On the contrary, in Jin et al. and Pang et al.'s studies 14, 15, PIM1 protein expression was found significantly upregulated in NSCLC tissues compared with normal lung tissues. However, the prognostic value of PIM1 in NSCLC remains unknown. Signal transducer and activator of transcription 3 (STAT3) is a critical signaling mediator which functions as downstream effectors of cytokines and tyrosine kinases 16. Constitutive activation of STAT3 (phosphorylated STAT3, p-STAT3) has been detected in pancreas, prostate, head and neck, breast and lung cancer 17-20. Persistent activation of STAT3 may promote tumor angiogenesis, cell proliferation, and resistance to apoptosis. Activated STAT3 upregulates PIM1 gene expression and thus induces resistance to cytotoxic drugs in prostate cancer cells 21. Furthermore, PIM1 kinase has been long recognized as a highly potent coactivator in MYC-dependent transformation during lymphomagenesis and prostate cancer tumorigenesis 22, 23. PIM1 kinase is often overexpressed in the context of increased MYC levels in both hematological malignancies and solid tumors 24, 25. By phosphorylating H3s10, PIM1 contributes to approximately 20% of the MYC-induced gene expression 26. Overexpression of the myc-proto-oncogene is common in NSCLC, however, the prognostic relevance of c-MYC for patients with NSCLC is controversial. PIM1, c-MYC and p-STAT3 are individually and cooperatively involved in the pathogenesis of hematological malignancies and solid tumors. However, the expression pattern and clinical significance of PIM1 as well as its interaction with p-STAT3 and c-MYC in NSCLC remain largely unknown. Therefore, we here examined the expression of these markers and further evaluated the association between the expression of these genes with prognosis in patients with lung SCC and AD.

Materials and methods

Study population

Primary formalin-fixed, paraffin-embedded (FFPE) lung tumor samples were obtained from Tianjin Cancer Institute & Hospital, Tianjin Medical University, Tianjin, P. R. China from January 2009 to March 2010. Patients who died within 2 months after surgery or those who died from causes unrelated to the tumor or received previous chemotherapy, radiotherapy or any other anti-tumor therapies prior to surgery were excluded. In total, 101 patients with AD and 93 patients with SCC were included in this study. Additionally, 31 FFPE NSCLC tissues and their matched adjacent normal lung tissues were also included. In the 194 lung cancer cases, there were 122 males and 72 females with ages ranging from 32 to 79 years, and a median age of 59 years. Of the 194 cases, 84 cases were at stage I, 43 were at stage II, while 67 were at stages III. The characteristics of the 194 resected NSCLCs are summarized in Table 1.
Table 1

Correlation between PIM1 expression and the clinicopathological characteristics.

VariablesNumber of PatientsPIM1 expression (%)χ2*P-value
Low/noneHigh
Gender
Female7233(45.8)39(54.2)5.5080.019
Male12277(63.1)45(36.9)
Age (years)
< 6010153(52.5)48(47.5)1.5320.216
≥ 609357(61.3)36(38.7)
Smoking index
< 4009555 (54.7)43(45.3)0.2930.589
≥ 4009958(58.6)41(41.4)
Clinical Stage
I8448(57.1)36(42.9)3.2060.361
II4328(65.1)15(34.9)
IIIa5429(53.7)25(46.3)
IIIb135(38.5)8(61.5)
Tumor size
≤ 3cm9245(48.9)47(51.1)4.3230.038
> 3cm10265(63.7)37(36.3)
Regional LN metastasis
No10768(63.6)39(36.4)4.5610.033
Yes8742(48.3)45(51.7)
Distant metastasis
No180105(58.3)75(41.7)2.7070.100
Yes145(35.7)9(64.3)
Histology
AD10147(46.5)54(53.5)8.8700.003
SCC9363(67.7)30(32.3)
Pathologic differentiation
Well6431(53.1)33(46.9)2.6560.103
Poor13079(60.8)51(39.2)
p-STAT3 expression
Low/ none9963(63.6)36(36.4)3.9610.047
High9547(49.5)48(50.5)
c-MYC expression
Low/ none9351(54.8)42(45.2)0.2520.615
High10159(58.4)42(41.6)
Total194110(56.7)84(43.3)

LN: lymph node. SCC: squamous cell carcinoma. AD: adenocarcinoma. *P values < 0.05 in bold.

As of March 2015, a total of 101 patients had died from lung cancer; the median follow-up was 41 months (range from 2 to 72 months). To use these clinical materials for research purposes, prior consent from the patients and approval from the Research Ethics Committee of Tianjin Cancer Institute & Hospital of Tianjin Medical University were obtained. All specimens were handled and made anonymous according to the ethical and legal standards. Histological classification and clinicopathologic staging of the samples were graded according to the WHO histological classification and the tumor-node-metastasis (TNM) classification system (AJCC, 1997).

Cell culture

A549, PC-9, H1975, H460, SK-MES-1 and human bronchial epithelial (BEAS-2B) cell lines were obtained from American Type Culture Collection (Manassas, VA, U.S.A). A549, PC-9, H1975 and H460 cells were cultured in RPMI 1640 containing 10% fetal calf serum (FBS). SK-MES-1 cells were cultured in Minimum Essential Medium (MEM Eagles with Earle's Balanced Salts) supplemented with 10% FBS. BEAS-2B cells were cultured in LHC-8 Medium. Cell culture reagents were all obtained from Gibco (Carlsbad, CA, U.S.A).

Western blotting

Immunoblotting was performed as previously described 27 after separation by 8-12% polyacrylamide gel electrophoresis. Primary antibodies against PIM1 (Abcam; Cambridge, UK) and α-Tubulin (Cell Signaling Technology; Beverly, MA, U.S.A) were used to confirm protein expression. Data are representative of three independent experiments with nearly identical results.

RNA Preparation and mRNA Detection by Quantitative PCR

Total RNA was extracted from cells by TRIZOL Reagent (Invitrogen Life Technologies; Carlsbad, CA, U.S.A) and first-strand cDNA synthesis was performed with 1.5µg of total RNA using SuperScriptTM III Reverse Transcriptase. For real time quantitative PCR detection of PIM1 gene expression, SYBR-Green master mix was used on an ABI Prism 7900 platform (Applied Biosystems) as described previously.28 To normalize for equal mRNA/cDNA amounts, PCRs with target-specific and GAPDH-specific primer sets were always run in parallel for each sample. PCR assays were conducted in triplicate for each sample, and each PCR experiment included three nontemplate control wells. The primers sequences used for PIM1 (121 bp) and GAPDH (299 bp) were 5'-TCCGCGTCTCCGACAACTT-3' (forward) and 5'-ACCTTCTTCAGCAGGACCACTT-3'(reverse), and 5'-GGGAAACTGTGGCGTGAT-3' (forward) and 5'-GAGTGGGTGTCGCTGTTGA-3' (reverse), respectively.

Immunofluorescence Staining

A549, PC-9, SK-MES-1 and BEAS-2B cells were fixed with 4% paraformaldehyde for 20 minutes, treated with 0.1% Triton X-100 and blocked with 2% BSA for 60 min, incubated with primary antibody against PIM1 at 4 °C overnight, then incubated with fluoro-conjugated secondary antibody. Nuclei were stained with DAPI and the stained cells were observed under an Olympus 60BX microscope (Hamburg, Germany). Subcellular localization and PIM1 positivity were scored by two independent researchers.

Immunohistochemical Staining and Assessment

The expression of PIM1, c-MYC, and p-STAT3 were evaluated by immunohistochemistry using ChemMate EnVision Detection Kit with DAB substrate (Dako, Carpinteria, CA, USA) following the manufacturer's protocol with modification as described previously.18 Rabbit monoclonal antibody against PIM1 (Abcam, Cambridge, UK), p-STAT3 [Tyr705] (Cell Signaling Technology, Beverly, MA, U.S.A), or c-MYC (Epitomics, Burlingame, CA, U.S.A) was used for the staining. The slides were blindly examined by two investigators. Nuclear staining for PIM1, p-STAT3 or c-MYC was regarded as positive signals. Staining intensity was scored as negative = 0, weak = 1, moderate = 2, or strong = 3. The mean percentage of positive tumor cells was determined in at least five areas at 400-fold magnification. The percent of positive cells was scored as ≤ 10% = 0, > 10% to ≤ 25% = 1, >25% to ≤ 50% = 2, > 50% to ≤ 75% = 3 or > 75% = 4. For statistical analysis, the two scores were then multiplied to calculate the final score. An optimal cut-off value for high and low expression was determined on the basis of a measure of heterogeneity with the log-rank test statistical analysis with respect to OS. Expression was considered low if the final score was equal to or less than four; otherwise, the expression was considered high.

Statistical Analysis

Statistical analyses were performed using the SPSS 20.0 (IBM Corporation, Armonch, NY, U.S.A). The Chi-squared test was used to examine possible correlations between gene expression and clinicopathologic factors. A multivariate model was constructed using logistic regression including the possible confounding factors in univariate analysis with P < 0.20. Survival analysis and curves were established using the Kaplan-Meier method and log-rank test was used for comparison. Multivariate analysis was performed according to the Cox proportional hazards model with backward variable elimination to evaluate any possible association between gene expression status and survival after adjusting for other potential confounders. P < 0.05 was considered to be statistically significant.

Results

PIM1, p-STAT3 and c-MYC gene expression in NSCLCs

By quantitative real time RT-PCR, we found that PIM1 mRNA expression was much lower in human bronchial epithelial (BEAS-2B) cells than in lung cancer cell lines (Figure 1A). We further detected the protein expression of PIM1 by western blotting analysis. As shown in Figure 1B, high levels of PIM1 (33kDa) were detected in adenocarcinoma cells (A549, PC-9, and H1975) and squamous cell carcinoma cells (SK-MES-1), yet much lower expression was observed in the BEAS-2B cells and large cell carcinoma H460 cells.
Figure 1

PIM1 expression in human lung cancer and bronchial epithelial cells. (A) qRT-PCR analysis of PIM1 mRNA expression in A549, PC-9, H1975, H460, SK-MES-1 and human bronchial epithelial (BEAS-2B) cells. (B) Western blotting analysis of PIM1 expression in cell lines.

Next, we examined PIM1 localization by immunofluorescence. As shown in Figure 2, although PIM1 signals could be observed in cytosol and nucleus, intense PIM1 staining signals were found predominantly in the nucleus of the cells.
Figure 2

Subcellular localization of PIM1 was examined by confocal microscopy in A549 (A), PC-9 (B), SK-MES-1 (C), H460 (D) and BEAS-2B (E) cells. Endogenous PIM1 (A1, B1, C1, D1, E1), nuclei stained with DAPI (A2, B2, C2, D2, E2) and merged (A3, B3, C3, D3, E3). (Bar = 50µm).

To further examine the expression of PIM1 in archival primary NSCLC, we performed IHC analysis in 194 paraffin-embedded AD and SCC as well as 31 normal lung tissues. Representative IHC results are shown in Figure 3. PIM1 protein expression exhibited a nuclear staining pattern with variable cytoplasmic staining. Based on the known correlation of PIM1 with c-MYC and STAT3, the expression of these two factors was also detected by IHC. As shown in Figure 3, p-STAT3 immunohistochemical staining was predominantly in the nucleus while c-MYC was observed in both cytoplasm and nucleus of malignant cells. In this study, only nuclear staining for PIM1, p-STAT3 and c-MYC were regarded as positive signals. High expression of p-STAT3 was detected in 95 (49.0%) of the 194 lung cancer cases but only in 9 (29.0%) of the 31 normal lung tissues (χ2 = 4.274; P = 0.039), while high c-MYC was prevalent in 101 (52.1%) of cancer cases versus 7 (22.6%) of normal samples (χ2 = 9.801; P = 0.002). Furthermore, high PIM1 expression was detected in 84 (43.3%) of the 194 lung cancers but in only 4 (12.9%) of the 31 normal samples (χ2 = 10.370; P = 0.001). Therefore, the expression ratio of PIM1, p-STAT3 and c-MYC in tumor tissues was significantly higher than that in normal lung tissues.
Figure 3

Expression of PIM1 (A), p-STAT3 (B) and c-MYC (C) in lung ADs (A1, A2, B1, B2, C1, C2) and SCCs (A3, A4, B3, B4, C3, C4). Negative staining (A1, A3, B1, B3, C1, C3). Positive expression (A2, A4, B2, B4, C2, C4) (magnification: 200×). (Bar = 100µm).

Correlation between PIM1, p-STAT3 and c-MYC Expression and Clinicopathologic Features of ADs and SCCs

We further analyzed the relationship between the expression of these genes and the clinical characteristics in 194 AD and SCC cases. Univariate analysis revealed a strong correlation between PIM1 expression and the clinicopathologic characteristics including gender (χ2 = 5.508, P = 0.019), tumor size (χ2 = 4.323, P = 0.038), LN metastasis (χ2 = 4.561, P = 0.033), histology (χ2 = 8.870, P = 0.003), and p-STAT3 expression status (χ2 = 3.961, P = 0.047) (Table 1). Multivariate logistic regression analysis for the association between PIM1 expression and various clinicopathologic factors showed that PIM1 expression was significantly with regional LN metastasis (OR = 1.939; 95% CI: 1.073-3.506; P = 0.028) and histologic subtype (OR = 2.480; 95% CI: 1.369-4.491; P = 0.003) (Table 2). Expression of p-STAT3 expression was also found to be significantly correlated with the regional LN metastasis (χ2 = 4.563; P = 0.033) (Supplementary Table S1). No significant correlation was found between c-MYC expression and any clinicopathologic parameter (Supplementary Table S2). Moreover, although there were no strong associations between expressions of these genes, a weak correlation between expression of PIM1 and p-STAT3 expression was detected (r = 0.147; P = 0.047). Additional subset analysis in different histologic subtypes of NSCLC indicated that high expression of PIM1 was significantly associated p-STAT3 expression in AD (r = 0.244; P = 0.015) but not in SCC (r = 0.010; P = 0.920).
Table 2

Multivariate Logistic Regression Analysis for PIM1 expression.

VariablesOR (95% CI)P value
Regional LN metastasis
No
Yes1.939 (1.073-3.506)0.028
Histology
AD
SCC2.480 (1.369-4.491)0.003

OR: odd ratio. CI: confidence interval. LN: lymph node. SCC: squamous cell carcinoma. AD: adenocarcinoma.

Relationship between expression of PIM1, p-STAT3 and c-MYC and patient survival

Kaplan-Meier analysis demonstrated that no association was found between p-STAT3 or c-MYC expression and survival (either DFS or OS). However, high PIM1 expression cases showed a shorter OS (Figure 4A, log-rank χ2 =8.370, P = 0.004) and DFS (Figure 4B, log-rank χ2 =8.245, P = 0.004) than those with low PIM1 levels.
Figure 4

Kaplan-Meier analysis for outcome of NSCLC cases with different PIM1 expression levels [A, overall survival (OS) of all cases; B, disease-free survival (DFS) of all cases; C, OS of patients at stages I and II; D, OS of patients at stages III; E, DFS of patients at stages I and II; F, DFS of patients at stages III], and outcomes of cases with different PIM1 and p-STAT3 expression levels (G, OS of all cases; H, DFS of all cases).

When stratifying the clinical stages into early stage (stages I and II) and locally advanced stage (stages III), we found that the association between high PIM1 expression and shorter OS were stronger in patients with early stage cancers (Figure 4C, log-rank χ2 = 4.069, P = 0.044) than with stage III tumors (Figure 4D, log-rank χ2 = 1.089, P = 0.297). Similarly to DFS, we also observed that PIM1 expression could predict recurrence in early stage (Figure 4E, log-rank χ2 = 9.956, P = 0.002), but not in stage III (Figure 4F, log-rank χ2 = 0.151, P = 0.697). Further analysis showed that the overall survival in patients with both low-PIM1 and low-p-STAT3 tumors was the longest among all of these groups (Figure 4G, log-rank χ2 = 6.676; P = 0.036), and these patients tended to have the longest DFS (Figure 4H, log-rank χ2 = 9.711; P = 0.008). However, the predictive value of PIM1 was not significantly improved by combining with p-STAT3 expression status. By univariate analysis, we found that DFS significantly associated with clinical stage (P < 0.001), LN metastasis (P < 0.001) and PIM1 expression (P = 0.004). OS significantly associated with clinical stage (P < 0.001), LN metastasis (P < 0.001), pathologic differentiation (P = 0.015) as well as PIM1 expression (P = 0.004) (Table 3). In Multivariate Cox Regression analysis, high PIM1 expression (HR = 1.574; P = 0.034), locally advanced clinical stage (HR = 2.341; P < 0.001), AD (HR = 1.890; P = 0.007) and poor pathologic differentiation (HR = 2.192; P = 0.002) correlated with shorter DFS (Table 4). In regards to OS, high PIM1 expression (HR = 1.700; P = 0.009), together with locally advanced clinical stage (HR = 2.386; P < 0.001) and pathologic differentiation (HR = 1.927; P = 0.004), were significantly and independently unfavorable prognostic factors (Table 4).
Table 3

Predictive and prognostic values of variables by univariate analysis.

VariablesDFSOS
3-year DFS rate (%)χ2*P value5-year survival rate (%)χ2*P value
All patients (n=194)
Gender
Male58.90.4120.52145.71.3160.251
Female51.851.6
Age (years)
≥ 6054.12.1420.14341.51.9950.158
< 6058.353.6
Smoking index
≥ 40058.70.3980.52845.41.1470.284
< 40053.650.3
Clinical Stage
IIIa-IIIb40.222.116< 0.00126.622.853< 0.001
Ia-IIb64.759
Tumor size
> 3cm551.2590.26242.22.7100.100
≤ 3cm57.654
Regional LN metastasis
Yes4023.226< 0.00131.320.101< 0.001
No69.561.4
Histology
AD50.33.1570.07650.71.6690.196
SCC63.244.8
Pathologic differentiation
Poor50.32.3180.12841.55.8700.015
Well65.259.8
PIM1 expression
High39.78.2450.00437.58.3700.004
Low/ none67.455.7
p-STAT3 expression
High49.92.4240.1243.21.1530.283
Low/ none62.652.2
c-MYC expression
High540.0330.85652.40.4230.515
Low/ none57.944.8
PIM1 and pSTAT3 expression
Both high31.69.7110.00835.76.6760.036
Either high59.341.9
Both low/ none69.159.6
Patients in stage I-II (n=127)
PIM1 expression
High42.19.9560.00251.44.0690.044
Low/ none7664.6
p-STAT3 expression
High601.2050.27253.51.3490.246
Low/ none68.564.1
c-MYC expression
High640.1850.66759.20.0010.993
Low/ none62.658.8
Patients in stage III (n=67)
PIM1 expression
High30.90.1510.69718.21.0890.297
Low/ none47.635.6
p-STAT3 expression
High34.70.040.84126.20.1140.736
Low/ none48.826.9
c-MYC expression
High36.40.1270.72116.91.1110.292
Low/ none41.934.4

DFS: disease-free survival. OS: overall survival. SCC: squamous cell carcinoma. AD: adenocarcinoma. *P values < 0.05 in bold.

Table 4

Predictive and prognostic values of variables by multivariate analysis.

DFSOS
VariablesHR (95% CI)P valueHR (95% CI)P value
PIM expression
High vs. low/ none1.574 (1.034-2.396)0.0341.700 (1.139-2.536)0.009
Clinical stage
III vs. I/II2.341 (1.560-3.514)< 0.0012.386 (1.600-3.558)< 0.001
Histology
AD vs. SCC1.890 (1.192-2.994)0.007
Pathologic differentiation
Poor vs. Well2.192 (1.345-3.574)0.0021.927 (1.226-3.028)0.004

HR: hazard ratio. CI: confidence interval. SCC: squamous cell carcinoma. AD: adenocarcinoma.

Discussion

The prognostic significance of PIM1, c-MYC and p-STAT3 in NSCLC remains uncertain. The aim of this study was to elucidate the role of these markers as predictive and prognostic markers of survival in AD and SCC patients. Constitutively activated STAT3 (p-STAT3) is frequently detected in a variety of human malignant tumors including NSCLC. Our current study showed that high expression of p-STAT3 was detected in 49.0% of lung cancer cases compared to in 29.0% of normal lung tissue samples. In addition, here we found slight differences in p-STAT3 expression between our study and others could be attributed to the patient ethnicity, antibodies used, or criteria chosen to categorize positive expression 18, 29-32. Moreover, we observed that p-STAT3 expression was correlated with LN metastasis in our study, consistent with the finding of Wang et al. that suggested that activation of STAT3 might play an important role in LN metastasis in NSCLC 33. However, we found no association between p-STAT3 expression and survival in concordance with several previous studies 30, 32. Previous studies have demonstrated that overexpression of c-MYC is common in NSCLC 34, 35 but its prognostic value in NSCLC is not clear. Our study demonstrated that high expression of c-MYC was detected in 52.1% of tumors, but no association was found between c-MYC expression and clinicopathologic parameters or survival. This suggests that c-MYC might be involved in the pathogenesis of NSCLC but alone might not critically contribute to the progression of NSCLC. In NSCLC, the prognostic value of PIM1 is largely unknown. Warnecke-Eberz et al. demonstrated that PIM1 mRNA expression in NSCLC was significantly downregulated compared to paired normal tissues, and the down-regulation was closely associated with LN metastasis 13. Our detection of PIM1 mRNA expression in lung cancer tissues was consistent with their results (data not shown), although we found no association between PIM1 mRNA expression and clinicopathologic parameters. We further used the TCGA database to investigate the association of PIM1 mRNA levels with survival in lung AD and SCC patients. Consistent with our current findings, no association was found between PIM1 mRNA expression and survival (Supplementary Figure S1). We did however observe that PIM1 mRNA levels in Human bronchial epithelial (BEAS-2B) cells were much lower than that in lung cancer cell lines. We cannot exclude the possibility that normal lung tissues or adjacent non-cancerous lung tissues are composed of more mesenchymal cells which might express higher PIM1 mRNA. It is noteworthy that PIM1 mRNA transcripts have a short half-life because of the presence of multiple copies of the destabilizing Auuu(A) sequence in the 3′untranslated region 2. Moreover, PIM1 gene encodes two isoforms with molecular weight 33 and 44 kDa by utilizing two alternative translation initiation sites 36. Both 33 and 44 kDa PIM1 were generated from the single reading frame, therefore, real-time quantitative RT-PCR cannot discriminate the variants. Even more, PIM1 expression in lung cancer might be regulated at the level of transcription, translation, and proteosomal degradation 37. Downregulation of micro-RNA-1 (miR-1), miR-486-5p and/or the serine/threonine protein phosphatase 2A (PP2A) might contribute to the overexpression of PIM1 protein in lung cancer 15, 38, 39. All together, since the mRNA level may not faithfully represent the expression of the protein, it is important to define the expression of PIM1 at the protein level in tumors. Previous studies have shown that different isoforms of PIM1 might distribute to different subcellular localizations and exhibit different functions in tumorigenesis 3, 40, 41, and 33 kDa PIM1 is located uniformly in the nucleus with some staining in the cytoplasm 42, 43. Kim et al. found that exposure to radiation led to overexpression and translocation of PIM1 into the nucleus in NSCLC cells 4. Ionov et al. found that PIM1 can be located in the cytoplasm or the nucleus of cells within normal lymph nodes, but is only located in the nucleus of Burkitt's lymphoma cells. And the nuclear location of PIM1 was deemed essential for its biological activities 44. Therefore, nuclear staining of the 33 kDa PIM1 was chosen as criteria for positive expression in our current study. In this study we observed that the high nuclear expression of PIM1 was significantly correlated to LN metastasis, histology, worse DFS, OS and 5-year overall survival rate. Moreover, a stronger correlation between high nuclear PIM1 expression and short survivals was found at early stages, suggesting that PIM1 might be involved in the NSCLC recurrence, progression and metastasis, and nuclear PIM1 expression is an independent predictive and prognostic factor for NSCLC patients. Warnecke-Eberz et al.13 observed lower PIM1 expression in lung cancer cells compared to normal respiratory bronchioles, artery walls and macrophages. However, in Jin et al. and Pang et al.'s studies 14, 15, higher PIM1 protein expression was detected in the majority of NSCLCs compared to normal lung tissues. Jin et al. found that PIM1 overexpression correlates with poor differentiation, advanced clinical stage (III/IV) and lymph node and distant metastasis. Pang et al. found that PIM1 expression in NSCLC was significantly associated with tumor size, LN metastasis, histological type and clinical staging. Our result also showed that high PIM1 expression was significantly correlated to LN metastasis and histology. However, we found that a strong correlation between high PIM1 expression and short survival existed in early stage tumors rather than advanced cancers. Furthermore, for the first time, we found high expression of PIM1 was associated with higher risk of disease recurrence and shorter OS. It is noteworthy that PIM1 expression was observed primarily in the cytoplasm in Jin et al.'s study 14 while subcellular localization was not mentioned in Warnecke‑Eberz et al.'s research. However, in our study, nuclear PIM1 expression was detected by both immunofluorescence and immunohistology. We confirmed that 33 kDa PIM1 was the predominant variant detected in lung cancer cell lines by western blot. Thus the differences between our results and previous works may be related to the different antibodies used and different proteins detected. Our results are consistent with the study that the gain of chromosome 6p21 in NSCLC is associated with poor survival, as PIM1 is localized on chromosome 6p21.2 45. In conclusion, we observed that nuclear overexpression of PIM1 correlated with LN metastasis, histology and poor survival in lung AD and SCC. Our study strongly indicates that nuclear PIM1 expression level is an independent predictive and prognostic indicator of survival in patients with NSCLC. Future investigations are required to develop new treatment strategies for patients with PIM1-overexpression NSCLC. Supplementary Tables S1-S2 and Figure S1. Click here for additional data file.
  45 in total

1.  The 44 kDa Pim-1 kinase directly interacts with tyrosine kinase Etk/BMX and protects human prostate cancer cells from apoptosis induced by chemotherapeutic drugs.

Authors:  Y Xie; K Xu; B Dai; Z Guo; T Jiang; H Chen; Y Qiu
Journal:  Oncogene       Date:  2006-01-05       Impact factor: 9.867

2.  Expression of caspase-3 and c-myc in non-small cell lung cancer.

Authors:  Jin young Yoo; Chi Hong Kim; So Hyang Song; Byoung Yong Shim; Youn Ju Jeong; Meyung Im Ahn; Suji Kim; Deog Gon Cho; Min Seop Jo; Kyu Do Cho; Hong Joo Cho; Seok Jin Kang; Hoon Kyo Kim
Journal:  Cancer Res Treat       Date:  2004-10-31       Impact factor: 4.679

3.  Pim-1 translocates sorting nexin 6/TRAF4-associated factor 2 from cytoplasm to nucleus.

Authors:  Y Ishibashi; H Maita; M Yano; N Koike; K Tamai; H Ariga; S M Iguchi-Ariga
Journal:  FEBS Lett       Date:  2001-09-28       Impact factor: 4.124

4.  A functional variant in the transcriptional regulatory region of gene LOC344967 cosegregates with disease phenotype in familial nasopharyngeal carcinoma.

Authors:  Ri-Cheng Jiang; Hai-De Qin; Mu-Sheng Zeng; Wei Huang; Bing-Jian Feng; Feng Zhang; Han-Kui Chen; Wei-Hua Jia; Li-Zhen Chen; Qi-Sheng Feng; Ru-Hua Zhang; Xing-Juan Yu; Mei-Zhen Zheng; Yi-Xin Zeng
Journal:  Cancer Res       Date:  2006-01-15       Impact factor: 12.701

5.  Negative regulation of Pim-1 protein kinase levels by the B56beta subunit of PP2A.

Authors:  J Ma; H K Arnold; M B Lilly; R C Sears; A S Kraft
Journal:  Oncogene       Date:  2007-02-12       Impact factor: 9.867

6.  Pim1 kinase synergizes with c-MYC to induce advanced prostate carcinoma.

Authors:  J Wang; J Kim; M Roh; O E Franco; S W Hayward; M L Wills; S A Abdulkadir
Journal:  Oncogene       Date:  2010-02-08       Impact factor: 9.867

7.  Pathogenesis of lung cancer signalling pathways: roadmap for therapies.

Authors:  E Brambilla; A Gazdar
Journal:  Eur Respir J       Date:  2009-06       Impact factor: 16.671

8.  PIM1-dependent phosphorylation of histone H3 at serine 10 is required for MYC-dependent transcriptional activation and oncogenic transformation.

Authors:  Alessio Zippo; Alessandra De Robertis; Riccardo Serafini; Salvatore Oliviero
Journal:  Nat Cell Biol       Date:  2007-07-22       Impact factor: 28.824

9.  Ki67 and PIM1 expression predict outcome in mantle cell lymphoma treated with high dose therapy, stem cell transplantation and rituximab: a Cancer and Leukemia Group B 59909 correlative science study.

Authors:  Eric D Hsi; Sin-Ho Jung; Raymond Lai; Jeffrey L Johnson; James R Cook; Dan Jones; Sven Devos; Bruce D Cheson; Lloyd E Damon; Jonathan Said
Journal:  Leuk Lymphoma       Date:  2008-11

10.  Prognostic impact of protein overexpression of the proto-oncogene PIM-1 in gastric cancer.

Authors:  Ute Warnecke-Eberz; Elfriede Bollschweiler; Uta Drebber; Ralf Metzger; Stephan E Baldus; Arnulf H Hölscher; Stefan Mönig
Journal:  Anticancer Res       Date:  2009-11       Impact factor: 2.480

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  14 in total

1.  Hypoxia-Inducible PIM Kinase Expression Promotes Resistance to Antiangiogenic Agents.

Authors:  Andrea L Casillas; Rachel K Toth; Alva G Sainz; Neha Singh; Ankit A Desai; Andrew S Kraft; Noel A Warfel
Journal:  Clin Cancer Res       Date:  2017-10-30       Impact factor: 12.531

2.  Co-Targeting PIM Kinase and PI3K/mTOR in NSCLC.

Authors:  Gillian Moore; Clara Lightner; Samira Elbai; Lauren Brady; Siobhan Nicholson; Ronan Ryan; Katie E O'Sullivan; Kenneth J O'Byrne; Carmen Blanco-Aparicio; Sinead Cuffe; Michael O'Neill; Susan Heavey; Stephen P Finn; Kathy Gately
Journal:  Cancers (Basel)       Date:  2021-04-29       Impact factor: 6.639

Review 3.  Correlation between p-STAT3 overexpression and prognosis in lung cancer: A systematic review and meta-analysis.

Authors:  Mengting Tong; Jing Wang; Nanyu Jiang; Hongming Pan; Da Li
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

4.  Pim1 supports human colorectal cancer growth during glucose deprivation by enhancing the Warburg effect.

Authors:  Meng Zhang; Tingting Liu; Hui Sun; Weiwei Weng; Qiongyan Zhang; Chenchen Liu; Yang Han; Weiqi Sheng
Journal:  Cancer Sci       Date:  2018-04-10       Impact factor: 6.716

5.  Association of Overexpressed MYC Gene with Altered PHACTR3 and E2F4 Genes Contributes to Non-small Cell Lung Carcinoma Pathogenesis.

Authors:  Miodrag Dragoj; Jasna Bankovic; Ana Podolski-Renic; Sonja Stojkovic Buric; Milica Pesic; Nikola Tanic; Tijana Stankovic
Journal:  J Med Biochem       Date:  2019-03-03       Impact factor: 3.402

6.  PAI1 is a Marker of Bad Prognosis in Rectal Cancer but Predicts a Better Response to Treatment with PIM Inhibitor AZD1208.

Authors:  Sandra Muñoz-Galván; Maria Rivero; Javier Peinado-Serrano; Julia Martinez-Pérez; M C Fernández-Fernández; María José Ortiz; José M García-Heredia; Amancio Carnero
Journal:  Cells       Date:  2020-04-25       Impact factor: 6.600

7.  Identification of PIM1 substrates reveals a role for NDRG1 phosphorylation in prostate cancer cellular migration and invasion.

Authors:  Russell J Ledet; Sophie E Ruff; Yu Wang; Shruti Nayak; Jeffrey A Schneider; Beatrix Ueberheide; Susan K Logan; Michael J Garabedian
Journal:  Commun Biol       Date:  2021-01-04

8.  PD-L1 is a Prognostic Biomarker in Resected NSCLC Patients with Moderate/high Smoking History and Elevated Serum SCCA Level.

Authors:  Lianjing Cao; Xinyue Wang; Shouying Li; Qiongjie Zhi; Yuqian Wang; Liuchun Wang; Kai Li; Richeng Jiang
Journal:  J Cancer       Date:  2017-09-15       Impact factor: 4.207

9.  Curcumin Inhibits Growth of Human NCI-H292 Lung Squamous Cell Carcinoma Cells by Increasing FOXA2 Expression.

Authors:  Lingling Tang; Jinjin Liu; Linyun Zhu; Qingge Chen; Ziyu Meng; Li Sun; Junsheng Hu; Zhenhua Ni; Xiongbiao Wang
Journal:  Front Pharmacol       Date:  2018-02-02       Impact factor: 5.810

10.  Crizotinib induces apoptosis of lung cancer cells through JAK-STAT pathway.

Authors:  Hongmin Lu; Shibo Wu; Huafei Chen; Ying Huang; Guoqin Qiu; Lingxiang Liu; Yong Li
Journal:  Oncol Lett       Date:  2018-09-04       Impact factor: 2.967

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