Vesicle-related microRNAs in plasma of nonsmall cell lung cancer patients and correlation with survival

J. Silva, V. García, Á. Zaballos, M. Provencio, L. Lombardía, L. Almonacid, J.M. García, G. Domínguez, C. Peña, R. Diaz, M. Herrera, A. Varela, F. Bonilla


The identification of tumour biomarkers that detect the presence of disease using noninvasive diagnostic procedures is a key part of cancer research. We determined in plasma the vesicle-related microRNA (miRNA) expression profile of nonsmall cell lung cancer (NSCLC) and evaluate whether plasma miRNAs can be both discriminating (between patients and healthy controls) and prognostic markers.

365 human miRNAs were analysed by Taqman® low-density arrays (Applied Biosystems, Foster City, CA, USA) in the plasma from 28 NSCLC patients and 20 controls. Five selected miRNAs (let-7f, miR-20b, miR-30e-3p, miR-223 and miR-301) were validated independently by real-time PCR in plasma from 78 NSCLC and 48 controls and correlated with pathologic parameters and survival.

Levels of let-7f, miR-20b and miR-30e-3p were decreased in plasma vesicles of NSCLC patients. Moreover, levels of let-7f and miR-30e-3p distinguished between two groups of patients for stage of disease and therefore possibility of surgery. Plasma levels of miR-30e-3p and let-7f were associated with short disease-free survival and overall survival, respectively.

NSCLC patients and healthy controls differ in vesicle-related miRNAs in plasma. Levels of let-7f and miR-30e-3p in NSCLC patients are associated with poor outcome. Thus, plasma vesicle-related miRNAs obtained by noninvasive methods could serve as circulating tumour biomarkers of discriminating and prognostic value.

The identification of tumour biomarkers to detect the presence of disease using noninvasive diagnostic procedures is a key part of cancer research. This research is mainly important in lung cancer, for which imaging or cytological techniques have not significantly affected overall mortality 1. Several studies have demonstrated the presence of extracellular nucleic acids in cancer patients as well as their potential as surrogate sources of tumour nucleic acids 2, 3. This establishes the noninvasive clinical potential and prognostic value of the analysis of plasma nucleic acids in cancer patients as tumour biomarkers.

Regarding the release mechanism of nucleic acids from the tumour cells to the bloodstream, we recently reported that a major fraction of these molecules detected in plasma of cancer patients are highly protected in tumour specific microvesicle-like structures 4. As release of microvesicles provides an intercellular communication mechanism, it seems clear that the cell type from which they were derived and their composition will determine their function. Initially characterised as a mechanism to remove obsolete proteins 5, several studies support a role in tumour immunity, since microparticles present tumour antigens to sensitised T-cells or dendritic cells and promote tumour rejection 68. In contrast, these vesicles have also been involved in immune suppression, since they could transport molecules responsible for the detrimental effects exerted by tumour cells on the immune system 911. Recently, we and others reported that these microparticles are enriched in mRNAs and microRNAs (miRNAs) 4, 1214. Moreover, the RNA contained in vesicles from donor mouse mast cells was transferable to recipient human mast cells, which was then translated, which indicated that the transferred RNA was biologically active 12. Similarly, previous studies suggested that miRNAs contained in tumour vesicles are functional and suppress the target mRNAs for signal transduction components within T-cells 9.

As master regulators of gene expression, abnormal levels of miRNAs in tumours have important pathogenetic consequences. miRNAs act as tumour suppressors when they repress oncogenic genes, or as oncogenes when they down-regulate tumour suppressors 15. Furthermore, analyses of several human cancers have identified miRNA signatures relating to initiation, progression, diagnosis or prognosis of tumours 16. Cancer-specific miRNAs with high resistance to RNases and harsh conditions have been identified in plasma or serum of cancer patients 1, 1721 evidencing that this high stability conferred by its particle-associated features makes miRNA levels well suited for being tested as cancer biomarkers in patient plasma samples.

In our study, we performed a Taqman® (Applied Biosystems, Foster City, CA, USA) quantitative PCR analysis of vesicle-related miRNAs from plasma of NSCLC patients. This approach identified five miRNAs (let-7f, miR-20b, miR-30e-3p, miR-223 and miR-301), whose levels distinguish people with tumours from the healthy population. Quantitative analysis of these miRNAs in a large series of NSCLC patients showed that several of them were potentially useful for diagnosis and prognosis of the tumours.


Plasma samples and patient characteristics

We used a final series of 106 NSCLC patients (March, 2004 to April, 2007), 28 included in the testing series and 78 in the validation set, who were followed until April 2009. Informed written consent was obtained from all participants after an explanation of the nature of the study, as approved by the research ethics board of our hospital (University Hospital Puerta de Hierro Majadahonda, Madrid, Spain). Blood samples were taken either before intervention on the day of surgery or before chemotherapy in non-operable patients. Blood samples from a final series 68 healthy donors, 20 included in the testing series and 48 in the validation set, were obtained at the haematology unit of our hospital. Plasma was prepared by serial centrifugations 4. The diagnosis of NSCLC in all tumour specimens was confirmed histologically. Clinico-pathological parameters, clinical follow-up and treatment from all patients are described in the supplementary material.

Vesicles and miRNA isolation

3 mL of plasma were incubated for 30 min with 100 μL of super-paramagnetic beads coated with epithelial antibody Ber-EP4 in line with Dynabeads Epithelial Enrich protocol (Dynal Biotech ASA, Oslo, Norway). miRNAs were extracted from the Dynabeads fraction by magnetic separation with the mirVanaTM miRNA Isolation Kit (Ambion Inc, Austin, TX, USA) in line with the manufacturer's instructions. cDNA was synthesised from vesicle-related miRNA by use of gene-specific primer pools, following the TaqMan MicroRNA Assay protocol (Applied Biosystems).

miRNAs Taqman® low-density arrays

Real-time PCR of 365 human miRNAs was performed with Taqman® low-density arrays (TLDA; Applied Biosystems; TaqMan® miRNA assays human panel early access kit). The Ct data were obtained by the SDS v2.2 software with automatic threshold settings.

To find suitable normaliser miRNAs 22, GENORM software was used with the Ct values of the 50 most expressed miRNAs in the whole sample set. miRNAs miR-142-3p and miR-30b were found to be the most stable miRNAs and geometric normalisation applied to Ct values. Normalised data were processed with the Preprocessor Tool 23 included in the GEPAS package 24. Differentially expressed miRNAs were identified by using significance analysis of microarrays (SAM) 25 and ANOVA with the linear models method 26. More information about TLDA, data processing and analysis are included in the supplementary material.

Real-time PCR for independent series validation

Plasma miRNA levels of let-7f, miR-20b, miR-30e-3p, miR-223 and miR-301 were normalised using the geometric average 22 of the two most stable miRNAs detected in miRNA TLDA, miR-142-3p and miR-30b. Relative concentrations of the miRNAs were calculated using a standard curve of each one plotted from serial dilution of cDNA from tumour tissues. Quantitative PCR was performed with the TaqMan® MicroRNA Assay specific for each miRNA (Applied Biosystems), in line with the manufacturer's instructions.

Statistical analysis

Plasma miRNA levels were not normally distributed (determined by the Kolmogorov–Smirnov test), so the significance of plasma miRNA levels was determined by the Mann–Whitney test. Box-plots were performed with a log10 transformation of data. The relationship between the cumulative probability of overall survival (OS) and disease-free survival (DFS), as well as analysed predictors, was calculated by the Kaplan–Meier method, while significant differences between curves were evaluated with Mantel's log-rank test. A p-value <0.05 was considered statistically significant. Statistical analysis was performed by the SPSS software (version 13.0; SPSS Inc., Chicago, IL, USA).


Profiling of plasma samples with microRNA Taqman® arrays

Previous to array running, plasma RNA samples were probed with Taqman® assays for let-7a and miR-16 miRNAs and those giving Ct values >30 cycles were discarded for the array assay. Finally, 20 plasma RNA samples from normal subjects and 28 from NSCLC patients were subjected to qRT-PCR in Taqman® arrays. The two populations did not differ in terms of age, sex or smoking history. Equivalent volumes of plasma RNA were then used for reverse transcription and TaqMan reactions. No differences were found in the number of miRNAs detected or in those with Ct<35 between normal and tumour samples (mean 107 versus 102 and 81 versus 77, respectively), ∼30% of the total miRNAs analysed. Of these, miR-223 consistently showed the lowest Ct in every sample, which is consistent with results reported elsewhere 18. Although a different technical approach was used, other miRNAs that were detected, such as miR-24, miR-26a and miR-16, also showed low Ct numbers in our assays.

miRNAs expressed differently in normal and diseased conditions were identified by running SAM and ANOVA linear model methods. Table 1 shows the 10 differentially expressed miRNAs in plasma from NSCLC patients that tacking account a q-value >3% in the SAM analysis and FDR >50% reached the best FDR value in both analyses. We quantified by qRT-PCR the expression of these miRNAs in the initial series of 20 healthy controls and 28 NSCLC patients. Statistically differences were not found between healthy and tumour populations probably due to the small number of cases in the series. Five of these (let-7f, miR-20b, miR-30e-3p, miR-223 and miR-301) were randomly selected for validation with independent sample series.

View this table:
Table 1– MicroRNAs differentially expressed in nonsmall cell lung cancer patients with respect to healthy controls, showing the lowest percentage of false positives

Validation of miRNAs

To test the consistency of selected miRNAs, we analysed their levels by quantitative RT-PCR on a set of 78 new NSCLC plasma samples and 48 healthy donor samples, different from the ones that were part of the miRNA profiling study. No significant differences were observed for miRNAs used for internal normalisation (miR-142-3p and miR-30b) between control and NSCLC samples (p = 0.19 and p = 0.85, respectively; Mann–Whitney test).

We verified the decreased levels in plasma from NSCLC patients of 3 of 5 miRNAs selected. Thus, for let-7f, miR-20b and miR-30e-3p, there were statistically significant differences between the two populations analysed (p = 0.001, p = 0.058 and p = 0.041, respectively; Mann-Whitney test; fig. 1). miR-223 and miR-301, which did not distinguish healthy and patient populations in this external series, were not chosen in further studies.

Figure 1–

Box plots showing the relationship between the two populations studied and the levels in plasma of a) let-7f, b) miR-20b and c) miR-30e-3p. Boxes represent the quartiles 25, 50 and 75, and whiskers represent values <1.5 box lengths. ○: outliers. +: extreme outlier. #: p = 0.001; : 0.058; §: 0.041.

In addition, NSCLC patients were divided into two groups, depending on the stage of disease and therefore possibility of surgery: patients with resection of the tumours (stages I, II and IIIA) and patients without resection (stages IIIB and IV). Our data showed that let-7f and miR-30e-3p levels distinguished the two groups of patients (p = 0.05 and p = 0.005, respectively; fig. 2).

Figure 2–

Box plots showing the relationship between the groups of patients distributed according to tumour surgery and the levels in plasma of a) let-7f and b) miR-30-3p. Boxes represent the quartiles 25, 50 and 75, and whiskers represent values <1.5 box lengths. ○: outliers. +: extreme outlier.#: p = 0.05; : p = 0.005.

miRNA plasma levels in NSCLC patients and outcome

To determine whether the miRNA levels validated in the independent series could serve as prognostic markers, indicating DFS and OS, we reviewed follow-up care for the 78 NSCLC patients. The median (range) follow-up was 22 (1–59) months. During the period of follow-up, 32% of operable patients relapsed and 78% of all patients, operable and non-operable, died. For this survival analysis, NSCLC patients were grouped according to miRNA levels in bicentiles (low and high levels) or in tertiles (low, medium and high levels).


At 59 months of follow-up, DFS of the patients with resection of the tumour was 33% (95% CI, 14–52%). When these patients were divided into bicentiles, a statistically significant difference was observed in DFS regarding miR-30e-3p plasma levels: the patients with low levels had a 50-month DFS rate of 13% (95% CI, 0–35%) and the group with high levels had a rate of 50% (95% CI, 23–77%; p = 0.009; Kaplan–Meier test; fig. 3a). Levels of let-7f and miR-20b in plasma were not associated with DFS.

Figure 3–

Kaplan–Meier survival curves in relation to levels of a) miR-30e-3p, b) let-7f and c) miR-20b in plasma in disease-free survival and d) miR-30e-3p, e) let-7f and f) miR-20b in plasma in overall survival. –––: high levels; -----: low levels.


At 59 months of follow-up, OS for patients was 19% (95% CI, 9–29%). When patients were divided into tertiles, a trend to significant association was found in OS for let-7f plasma levels (p = 0.077, Kaplan–Meier test). Our data indicate that patients with low or median levels of let-7f in plasma presented similar behaviour compared with patients with high let-7f levels. Thus, the patients with low or median levels of let-7f were grouped into the same group and only two categories were analysed: patients with low or high levels. The maximum follow-up for patients with high let-7f levels was 46 months. Thus, there was statistical significance, since patients with low let-7f levels had at 46 months an OS rate of 30% (95% CI, 17–43%) and patients with high levels had an 8% rate (95% CI, 0–22%; p = 0.038, Kaplan–Meier test; fig. 3b). Levels of miR-30e-3p and miR-20b in plasma were not associated with OS.

Patients without resection of the tumour have worse outcome than patients with resection of the tumour, which was also observed in our series. The maximum follow-up of patients without resection of tumour was 33 months, showing an OS rate of 3% (95% CI, 0–9%), whereas patients with resection had a rate of 56% (95% CI, 40–72%; p<0.001, Kaplan–Meier test). For this reason, OS was analysed for each miRNA in patients distributed according to surgery treatment but no differences were found.

miRNA levels in plasma of NSCLC patients and clinical characteristics

We examined whether let-7f, miR-20b and miR-30e-3p levels in plasma from patients with NSCLC were associated with stage and lymph node metastases (table 2). Higher levels of let-7f and miR-30e-3p in plasma were associated with tumours without resection, which are tumours with advanced stages (p = 0.031 and p = 0.007, respectively, Mann–Whitney test). Moreover, high levels of miR-20b were associated with advanced stages and presence of metastases in lymph nodes (p = 0.008 and p = 0.01, respectively, Mann–Whitney test).

View this table:
Table 2– Statistically significant correlations between miRNA levels in plasma of nonsmall cell lung cancer patients and clinical characteristics


A major area of research in the field of cancer is the identification of biomarkers that detect the presence of a tumour with noninvasive diagnostic procedures. The simplicity of getting a blood sample from a cancer patient and the existence of extracellular nucleic acids in plasma suggest that biomarkers found in blood plasma would be particularly helpful as strategies for cancer detection.

miRNAs play important roles in oncogenesis and several studies based on profiling methods in different tumour types have shown the potential of miRNAs in cancer diagnosis and prognosis 16. Profiling of miRNA expression in tissues discriminates diseased from normal subjects and several miRNAs have been proposed as potential biomarkers in cancer studies 27. Furthermore, tumour cells release microparticles enriched in functional miRNAs to the blood 4, 1214. We consider that both the high stability conferred by the particles’ characteristics and the involvement of miRNAs in cancer oncogenesis support the idea of testing miRNA levels in plasma of cancer patients as a possible cancer biomarker.

To determine whether miRNAs enter the blood-stream at levels that can be measured and used as cancer biomarkers, Taqman® stem-loop qRT-PCR was applied. qRT-PCR is a reliable and affordable method for miRNA profiling, as methods for high throughput have been developed and, in contrast to microarray-based studies, quantitative data are obtained in a single processing experiment. TaqMan® miRNA arrays enable analysis of 365 human miRNAs on a micro-fluidic card with minimal sample processing. In our study, comparison of specific profiles of miRNAs contained in microvesicles from plasma of healthy controls and plasma of NSCLC patients revealed that decreased levels of several miRNAs discriminated nontumour from tumour population. It is difficult to reconcile the observation that specific tumour exosome-secreted miRNAs are lower in the blood of cancer patients compared with healthy controls; however, validation of levels of these miRNAs by real-time quantification in an external series confirmed that levels of let-7f, miR-20b and miR-30b statistically decreased in microparticles of NSCLC patients. Moreover, our results supported previous data by others who found that the copy number of these three miRNAs decreased in lung cancer serum more than in normal serum 19. Furthermore, our data showed that levels of these plasma miRNAs distinguished the two groups of patients for stage of disease and therefore possibility of surgery. Thus, levels of let-7f and miR-30e differentiated populations of patients with resectable tumours and patients with nonresectable tumours.

The let-7 family contains a dozen of the most actively studied tumour suppressor miRNAs 28. Their reduced expression has been described in human lung cancer and correlates with poor prognosis 29, 30. Moreover, the chromosomal location of various let-7 genes is frequently deleted in a variety of human cancers and several of them can be directly repressed by the c-Myc oncoprotein 31. Interestingly, in our series of NSCLC patients, the higher let-7f levels were detected in the group of patients with nonresectable or more malignant tumours. In addition, OS was shorter in this population. Thus, we suggested a possible association between let-7f and poor prognosis of NSCLC. The apparent discrepancy observed between decreased levels of let-7f in NSCLC patients compared with healthy controls and the fact that increased levels of this miRNA were associated with worse prognosis may be explained by several causes. First, let7-f has been previously identified as a pro-angiogenic miRNA 32. Thus, in this sense, it is not unexpected to observe an association between levels of circulating pro-angiogenic let-7f and tumours with worse prognosis. Alternatively, there are two variants of this miRNA, let-7f1 and let-7f2, with nonreported functions and with different chromosomal locations, different sizes but with high sequence homology. The Taqman® miRNA used in quantification of let-7f levels links to both variants; therefore, it was not achievable to discriminate between them. An unresolved possibility is that each variant has diverse roles in tumourigenesis and that the abundance of each variant shifts in plasma from healthy and in cancer population.

The oncogenic potential of miR-20b has been suggested in previous studies in several tumour types. In human carcinomas, accumulation of miR-20b is involved in human T-cell leukaemia 33 and high expression is associated with lower probability of survival in gastric cancer patients 34. Our data support this oncogenic role of miR-20b, since patients with more advanced stage of disease and presence of lymph node metastases had higher microvesicle-related miR-20b levels.

miR-30e, a member of the miR-30 family, is a negative regulator of Ubc9 expression. Ubc9 plays a critical role in sumoylation-mediated cell pathways involving cell growth and cancer development. Recently, it was reported that, whereas Ubc9 was upregulated in several tumour types, such as breast, head and neck and lung carcinomas, miR-30e was under-expressed. Moreover, ectopic expression of miR-30e suppressed cell growth 35, 36. In our study of clinical outcome, Kaplan–Meier analysis showed that NSCLC patients with lower levels in plasma vesicles of miR-30e had shorter disease-free survival.

Thus, we established that tumour-derived miRNAs detected in microparticles present in plasma from NSCLC patients can serve as circulating tumour biomarkers for detection of a major human cancer type. We suggest that plasma miRNA-based qPCR assays could distinguish NSCLC in a noninvasive diagnostic procedure. This purpose is supported by a recent study that has identified a miRNA signature in genome-wide serum miRNA expression profiling that predicted outcome surveillance in shorter-survival and longer-survival groups of NSCLC patients. Further, to our knowledge, this is the first report on quantitative assessment of plasma microvesicular miRNAs in NSCLC patients to put forward a screening test for NSCLC that affects overall mortality and survival. The associations described here between levels of let-7f, miR-20b and miR-30e and poor prognosis parameters and survival supported the role of these miRNAs as biomarkers for NSCLC.


We are grateful to M. Eaude (University of Barcelona, Barcelona, Spain) for correcting the English.


  • Received February 23, 2010.
  • Accepted June 7, 2010.


View Abstract