DIFFERENTIAL EXPRESSION OF FGFRs SIGNALING
PATHWAY COMPONENTS IN BLADDER CANCER:
A STEP TOWARD PERSONALIZED MEDICINE Ousati Ashtiani Z1,2, Tavakkoly-Bazzaz J2,*, Salami SA3,
Pourmand MR4, Mansouri F5,6, Mashahdi R1, Pourmand G1,* *Corresponding Author: Professor Gholamreza Pourmand, Urology Research Center, Sina Hospital, Tehran University Medical Sciences,
Hasan Abad Square, Tehran, 113746911, Iran. Tel: +98-216-634-8560. Fax: +98-216-634-8561. Email: pourmand@tums.ac.ir and/
or Associate Professor Javad Tavakkoly-Bazzaz, Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences,
Poursina Street, Tehran, 1417613151, Iran. Tel: +98-218-895-3005. Fax: +98-218-895-3005. Email: tavakkolybazzazj@tums.ac.ir page: 75
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MATERIALS AND METHODS
Patients and Tissue Samples. Paired samples, both
bladder tumor and adjacent normal tissue were obtained
from 50 Iranian individuals who underwent transurethral
bladder tumor resection or radical cystectomy at two
university teaching hospitals (Sina and Imam Khomeini
Hospitals) in Tehran, Iran. Bladder tumor and non tumor
samples from a standard distance were rapidly frozen in
liquid nitrogen following collection and stored at –80 °C
until subsequent RNA extraction.
Of the 50 patients, 43 were males and seven were
females. The median age was 66 years, ranging from 33
to 84 years. None of the patients received any treatments,
such as Bacillus Calmette-Guerin (BCG) therapy, chemotherapy,
which might alter the situation of the FGFR
signaling pathway in terms of its status and activity. Clinicopathological
information including grade, stage, lymph
node metastasis, age, gender, smoking, alcohol use, family
history of cancer, was provided for all subjects. In
this research, written informed consent was signed by all
participants, after being informed about the goals of the
study. This study was approved by the Research Review
Board and also the Ethics Committee of Tehran University
of Medical Sciences (TUMS), Tehran, Iran.
Total RNA from both tumor and adjacent non tumor
tissues were isolated using TriPure Isolation Reagent
(Roche Life Science, Mannheim, Germany) according to
the manufacturer’s protocol. The quality and quantity of
extracted RNAs were measured by the absorbance ratio
at 280/260 nm using NanoDrop-2000 spectrophotometer
(Thermo Fisher Scientific, Wilmington, DE, USA).
In order to remove possible DNA contamination from
RNA, DNase I treatment was performed. The cDNA was
synthesized from 1 μg RNA by oligo dT, Random 6-mer
and reverse transcription Enzyme using PrimeScript™
RT reagent kit (Takara, Kusatsu, Shiga, Japan) according
to the manufacturer’s instructions. It was designed to
perform optimized reverse transcription-polymerase chain
reaction (RT-PCR). Thermal Cycler (Senso Quest GmbH,
Göttingen, Germany) was used for the incubation reaction
mixture at 37 °C for 15 min. and 85 °C for 5 seconds. The
cDNAs were stored at –20 °C until further use.
For real-time PCR, specific sets of primers were designed
for FGFR1, FGFR3 and GAPDH as housekeeping
genes. All amplicon lengths for real-time PCR were less
than 200 bp long. Primer sets were checked by primer-
BLAST and Oligoanalyzer software (https://eu.idtdna.
com/ calc/analyzer). Table 1 shows the 5’>3’ sequence of
the primers and amplicon lengths. Real-time PCR was performed using SYBR Premix
EX TaqTMII (Takara). The reaction mixture was prepared
according to the manufacturer’s protocol. The cycling
conditions were: 10 seconds at 95 °C (Takara Master does
not need longer hold), followed by 40 cycles at 95 °C for
10 seconds and 60 °C for the 20 seconds. Amplification
reactions were performed in triplicate for each sample. A
melting curve was obtained following amplification. No
template control (NTC; nuclease-free water) was included
in each run. The quantitative PCR (qPCR) analysis was
completed using Rotor-Gene Q (Brisbane, Queensland,
Australia). Cycle threshold (ct) values were collected for
the genes of interest and glyceraldehyde 3-phosphate dehydrogenase
as housekeeping gene during the log phase of
the cycle. Results were normalized to the GAPDH as a
reference gene. Agarose gel electrophoresis was used to
determine the specificity of the RT-PCR reaction products.
Gene expression data analysis was carried out using
the 2–ΔΔCT method according to the following formula:
Δct1 = cttarget-cthousekeeping, Δct2 = ctnormal-cthousekeeping, ΔΔct = Δct1-Δct2.
Statistical Analysis. Statistical analysis was performed
by the the Statistical Package for Social Sciences
(SPSS) version 21 (IBM SPSS Inc., Chicago, IL, USA).
The Kolmogorov-Smirnov test was used to assess the normality
of quantitative data. Comparison of normalized
expression between tumor and non tumor tissues was done
using the parametric t-test for FGFR3 and nonparametric
Mann-Whitney test for FGFR1. A multivariate linear regression
analysis was performed to find the relationship
between expression and clinicopathological parameters as
independent variables by a stepwise method in the model.
In these tests, a p value of ≤0.05 was considered to indicate
a significant difference.
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