
ANALYSIS OF MITOCHONDRIAL TRANSFER
RNA MUTATIONS IN BREAST CANCER Ding H.J.1, Zhao Y.P.2, Jiang Z.C.3, Zhou D.T.4, Zhu R.1*
Han-Jie Ding and Ya-Ping Zhao contribute equally for this work *Corresponding Author: Ph.D. Rui Zhu, School of Pharmaceutical Sciences, Zhejiang Chinese
Medical University, Binwen Road No. 548, Hangzhou, P.R. China. Phone/Fax: 0086-0571-86633133,
E-mail: zhuruizjtcm@yeah.net page: 15
|
MATERIALS AND METHODS
Samples and Clinical Assessments. This study enrolled
80 breast cancer samples, as well as 80 controls.
The breast cancer tissues were obtained after surgical
resection and stored under -80℃ conditions for further
experiments. Furthermore, the normal adjacent tissues
were assessed by a pathologist. All of these tissues were
obtained from Second Affiliated Hospital of Zhejiang University
School of Medicine, and this work was approved
by the Ethics Committees of Second Affiliated Hospital
of Zhejiang University School of Medicine and Zhejiang
Chinese Medical University. Every subject provided his/
her written informed consent. Notably, participants who
received chemotherapy or radiotherapy before the surgical
treatment would not be enrolled, as well as patients who
had mitochondrial disorders such as neurological disease,
cardiovascular diseases, and hearing loss were excluded.
Analysis of Mt-tRNA Mutations. The genomic
DNA of fresh frozen tissues was isolated as described
previously [18]. The DNA quality and quantity were assessed
using a BioSpec Nano spectrophotometer. For the
amplification of 22 mt-tRNA genes, a total of 14 primers
were used for PCR reaction, as suggested previously [19].
The PCR products were further purified and sequenced.
Finally, the mt-tRNA mutations were detected by comparison
to the revised Cambridge sequence (GenBank
accession number: NC_012920.1) [20].
Analysis of Conservation Index (CI). To determine
the CI, 17 species’ mtDNA sequences were used. The
CI≥75% was believed to have functional significance.
Analysis of MtDNA Haplogroup. The mtDNA haplogroups
of seven patients with breast cancer who carried
pathogenic mt-tRNA mutations were classified using the
PhyloTree database (http://www.phylotree.org) [21].
Analysis of mtDNA Copy Number. Total genomic
DNA of seven breast cancer patients with putative pathogenic
mt-tRNA mutations and matched controls were isolated,
and subsequently the mtDNA copy number was measured
by relative quantitative real-time PCR method [22].
Briefly, the DNA was extracted from tissue samples using
the NucleoSpin® Tissue kit (Macherey-Nagel, Hoerdt,
France), according to the manufacturer’s recommendations.
The mtDNA specific primers for the tRNALeu(UUR) gene (forward
primer: 5’-CACCCAAGAACAGGGTTTGT-3’ and
reverse primer: 5’-TGGCCATGGGTATGTTGTTAA-3’)
and nuclear DNA primers for 18s rRNA gene (forward
primer: 5’-TAGAGGGACAAGTGGCGTTC-3’ and reverse
primer: 5’-CGCTGAGCCAGTCAGTGT-3’) were
used for quantitative PCR to determine the mtDNA copy
number, according to the method described previously [23].
Analysis of ATP Production. The cancer tissues
and normal controls from seven patients with mt-tRNA
pathogenic/likely pathogenic mutations were used for ATP
measurement. The ATP concentrations in tissues were analyzed
using ATP assay kit (Molecular Probes, Carlsbad,
CA, USA), according to the manufacturer’s protocols instructions
[24].
Statistical Analyses. All statistical analyses were
performed using the unpaired, two-tailed Student’s t test
contained in the GraphPad Prism 5 program (GraphPad
Software). p<0.05 was considered as statistically significant.
Classifications of the Pathogenic Mt-tRNA Mutations.
To assess the potential pathogenicity, Yarham and
colleagues designed a weighted scoring system for mt-tRNA
mutations [25]: if the score of a tRNA mutation <6 points, it
was a “neutral polymorphism”; while a score of 7-10 points
was classified as “possible pathogenic”, and a score of >11
points was classified as “definitely pathogenic”.
|
|
|
|



 |
Number 27 VOL. 27 (2), 2024 |
Number 27 VOL. 27 (1), 2024 |
Number 26 Number 26 VOL. 26(2), 2023 All in one |
Number 26 VOL. 26(2), 2023 |
Number 26 VOL. 26, 2023 Supplement |
Number 26 VOL. 26(1), 2023 |
Number 25 VOL. 25(2), 2022 |
Number 25 VOL. 25 (1), 2022 |
Number 24 VOL. 24(2), 2021 |
Number 24 VOL. 24(1), 2021 |
Number 23 VOL. 23(2), 2020 |
Number 22 VOL. 22(2), 2019 |
Number 22 VOL. 22(1), 2019 |
Number 22 VOL. 22, 2019 Supplement |
Number 21 VOL. 21(2), 2018 |
Number 21 VOL. 21 (1), 2018 |
Number 21 VOL. 21, 2018 Supplement |
Number 20 VOL. 20 (2), 2017 |
Number 20 VOL. 20 (1), 2017 |
Number 19 VOL. 19 (2), 2016 |
Number 19 VOL. 19 (1), 2016 |
Number 18 VOL. 18 (2), 2015 |
Number 18 VOL. 18 (1), 2015 |
Number 17 VOL. 17 (2), 2014 |
Number 17 VOL. 17 (1), 2014 |
Number 16 VOL. 16 (2), 2013 |
Number 16 VOL. 16 (1), 2013 |
Number 15 VOL. 15 (2), 2012 |
Number 15 VOL. 15, 2012 Supplement |
Number 15 Vol. 15 (1), 2012 |
Number 14 14 - Vol. 14 (2), 2011 |
Number 14 The 9th Balkan Congress of Medical Genetics |
Number 14 14 - Vol. 14 (1), 2011 |
Number 13 Vol. 13 (2), 2010 |
Number 13 Vol.13 (1), 2010 |
Number 12 Vol.12 (2), 2009 |
Number 12 Vol.12 (1), 2009 |
Number 11 Vol.11 (2),2008 |
Number 11 Vol.11 (1),2008 |
Number 10 Vol.10 (2), 2007 |
Number 10 10 (1),2007 |
Number 9 1&2, 2006 |
Number 9 3&4, 2006 |
Number 8 1&2, 2005 |
Number 8 3&4, 2004 |
Number 7 1&2, 2004 |
Number 6 3&4, 2003 |
Number 6 1&2, 2003 |
Number 5 3&4, 2002 |
Number 5 1&2, 2002 |
Number 4 Vol.3 (4), 2000 |
Number 4 Vol.2 (4), 1999 |
Number 4 Vol.1 (4), 1998 |
Number 4 3&4, 2001 |
Number 4 1&2, 2001 |
Number 3 Vol.3 (3), 2000 |
Number 3 Vol.2 (3), 1999 |
Number 3 Vol.1 (3), 1998 |
Number 2 Vol.3(2), 2000 |
Number 2 Vol.1 (2), 1998 |
Number 2 Vol.2 (2), 1999 |
Number 1 Vol.3 (1), 2000 |
Number 1 Vol.2 (1), 1999 |
Number 1 Vol.1 (1), 1998 |
|
|