Context

Genomic medicine requires the identification of biomarkers and therapeutic targets, which in turn, requires high-quality biospecimens. Achieving high-quality biospecimens requires implementing standard operating procedures to control the variations of preanalytic variables in biobanking. Currently, most biobanks do not control the variations of preanalytic variables when collecting, processing, and storing their biospecimens. However, those variations have been shown to affect the quality of biospecimens and gene expression profiling.

Objective

—To identify evidence-based preanalytic parameters that can be applied and those parameters that need further study.

Data Sources

We searched the Biospecimen Research and PubMed databases using defined key words. We retrieved and reviewed 212 articles obtained through those searches. We included 58 articles (27%) according to our inclusion and exclusion criteria for this review.

Conclusion

—Preanalytic variables in biobanking can degrade the quality of biospecimens and alter gene expression profiling. Variables that require further study include the effect of surgical manipulation; the effect of warm ischemia; the allowable duration of delayed specimen processing; the optimal type, duration, and temperature of preservation and fixation; and the optimal storage duration of formalin-fixed, paraffin embedded specimens in a fit-for-purpose approach.

Genomic medicine treats diseases based on prognostic and predictive biomarkers and therapeutic targets identified through DNA sequence analysis and gene expression profiling of diseased tissues—that is, through biospecimens. To reflect the true genomic changes of disease, gene expression profiling requires high-quality biospecimens, which are those that most closely resemble the tissue before its removal from the human body. To achieve that goal, biobanks need to integrate systems of consenting, annotating, collecting, processing, storing, and distributing biospecimens using unified standard operating procedures (SOPs).

Currently, both within and across institutions, unified SOPs in biobanking are lacking. Because of the lack of unified SOPs, the preanalytic variables in biobanking are not well controlled. However, fluctuations in those variables have been shown to affect the quality of biospecimens and gene expression profiling. Furthermore, the lack of unified SOPs in biobanking has in part led to irreproducible experimental results,1  difficulty in comparing and validating research findings,2  and investigator's concerns about research findings because of the poor quality of biospecimens.3  For example, a survey report by Prinz et al4  showed that almost two-thirds of the published data on therapeutic targets could not be reproduced. Reports by the RAND Corporation5  (Santa Monica, California) indicated that more than 300 million biospecimens were collected and stored in various institutions in the United States in 1999 alone, but the lack of unified SOPs in consenting, annotating, collecting, processing, and storing made it difficult to compare and validate test results using those biospecimens.6  The lack of proper consent and standard annotation of biospecimens has limited the value of that vast resource. However, the government and various organizations both in the United States and abroad have published guidelines and recommendations for biobanking. The Office for Human Research Protections of the Department of Health & Human Services (Washington, DC) and the National Cancer Institute (Bethesda, Maryland) has issued recommendations on legal and ethical aspects of consenting for biobanking.7,8  The National Cancer Institute, the College of American Pathologists (Northfield, Illinois) Diagnostic Intelligence and Health Information Technology Committee, and the International Society for Biological and Environmental Repositories (ISBER; Vancouver, British Columbia, Canada) have developed guidelines on annotation of biospecimens.911  Furthermore, both the National Cancer Institute and ISBER have published guidelines on best practices of biobanking.8,12  However, those guidelines do not provide the specific parameters that are needed to establish SOPs for each variable. Defining specific parameters for each variable would require evidence-based biospecimen science.

Here, we reviewed studies of preanalytic variables in the collecting, processing and storing biospecimens on their quality and their effect on gene expression profiling using DNA or RNA as analytes. The variables included warm ischemia, surgical manipulation, cold ischemia/delayed specimen processing, preservation at low temperature, preservative and fixative types, preservation and fixation duration and temperature, freeze-thaw cycles, and storage duration. Our goal in this review is to identify evidence-based parameters on preanalytic variables that can be used now and those that require further study to improve the quality of biospecimens, and thereby, to enhance the accurate identification of biomarkers and therapeutic targets in genomic medicine.

We searched the Biospecimen Research Database (http://biospecimens.cancer.gov/brd) and PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) for published literature. The Biospecimen Research Database, a freely accessible database of the National Institutes of Health (Bethesda, Maryland), contains “peer-reviewed literature pertinent to the field of human biospecimen science.” One can search the database using key terms within the categories of analyte, technology platform, type of biospecimen, and normal or cancerous tissue. More than 2000 published articles were collected in the database as June 1, 2014. The database is periodically updated, although the frequency of that update is not specified. We searched this database using the terms DNA sequencing, polymerase chain reaction (PCR), real-time quantitative polymerase chain reaction, real-time quantitative reverse transcriptase polymerase chain reaction (qRT-PCR), reverse-transcriptase polymerase chain reaction (RT-PCR), single nucleotide polymorphism assay. We used the terms biobank, biorepository, and biospecimen for the PubMed (National Center for Biotechnology Information, Bethesda, Maryland) search. We did not include search terms to retrieve studies using immunohistochemistry or in situ hybridization in this review because those topics have been recently reviewed elsewhere.13,14  We retrieved and reviewed 212 articles obtained through these searches. We then excluded articles that met one or more of the following criteria: (1) studies that were published before 1998, (2) studies that did not use tissue from the same specimen for comparison, (3) studies that used assays or reagents that were developed or used only in that laboratory or institution, (4) studies that used nonhuman tissue specimens, (5) studies that did not specify the actual changes, and (6) studies that compared different commercial DNA or RNA extraction kits. We included 58 articles (27%) published between January 1998 and April 2014 in this review.

Table 1 summarizes the characteristics of the studies that used tissue specimens.

Table 1.

Characteristics of Studies Using Tissue Specimens

Characteristics of Studies Using Tissue Specimens
Characteristics of Studies Using Tissue Specimens
Table 1.

Extended

Extended
Extended

Warm Ischemia

Warm ischemia, which occurs when blood vessels to an organ are ligated during surgery, can affect gene expression profiling without affecting RNA quality. One study15  compared the gene expression profiles of specimens collected at the intraoperative exposure of the prostate (in situ) with those of specimens collected immediately after resection (ex vivo). The level of mRNA expression in 8 (EGR1, p21, KRT17, PIM1, S100P, TNFRSF, WFDC2, and TRIM29) of 91 cancer-associated genes (9%) increased at least 2-fold, even though the RNA quality measured by the 28S to 18S ratio was not affected.15  Likewise, using lung cancer specimens collected at the chest opening and immediately after resection, 1% of the genes (eg, TNF, IL6, and FOS) differed by more than 2-fold.16  Therefore, to avoid the effect of warm ischemia on gene expression profiling, collecting biospecimens preoperatively has been suggested as the optimal method.15 

Surgical Manipulation

The extent to which surgical manipulation affects gene expression profiling needs further investigation. A study17  of surgical manipulation compared radical retropubic prostatectomy specimens collected immediately after midline incision (in situ) with those collected immediately after surgical resection (ex vivo). The expression levels of 41 transcripts increased by 2-fold or more; those transcripts included genes for acute-phase response proteins (IER2 and JUNB) and regulators of cell proliferation (p21Cip1 and KLF6). However, the increased gene expression may have been due to surgical manipulation and warm ischemia rather than surgical manipulation per se. Nevertheless, another study found that the greatest change in gene expression was from the time of intraoperative exposure of the prostate to the ligation of the dorsal vein complexes,15  suggesting an effect of surgical manipulation. In contrast, the gene expression profile did not differ in specimens collected using 2 types of prostatectomy procedures (robot-assisted laparoscopic prostatectomy and radical retropubic prostatectomy), although the protein levels differed significantly on tissue microarrays by immunohistochemical analysis.18  Overall, these findings suggest that to study the effect of surgical manipulation, the confounding effect of warm ischemia needs to be controlled.

Cold Ischemia and Delayed Specimen Processing

Cold ischemia occurs when tissues or organs within or removed from the human body are allowed to cool before being preserved. We combined the reviews of cold ischemia and delayed specimen processing because a definitive time point for distinguishing between them is difficult to determine from the literature.

Cold ischemia/delayed specimen processing can affect the quality of nucleic acid and the expression of genes and proteins. The expression levels of 5% of genes in lung cancer altered at least 2-fold after a 30-minute processing delay.16  Similarly, mRNA expression differed more than 2-fold in 2.3% of the genes in colorectal cancer after a 30- to 120-minute processing delay, and the changes started after only 15-minute processing delay.19  Likewise, the number of altered genes in breast cancer increased with the increasing duration of processing delay, from 0.76% of the genes after a 2-hour delay to 4.1% after a 24-hour delay.20  A biobank study21  compared gene expression profiling in biospecimens before and after the deployment of SOPs, which resulted in more than twice the number of biospecimens cryopreserved within 30 minutes. The study found that the mRNA expression of c-MYC and ER and the estrogen receptor protein level decreased with increasing duration of processing delay,21  demonstrating that unified SOPs in biobanking are needed to ensure meaningful comparison and validation of test results. However, others22,23  have found that the changes in RNA quality and gene expression from delayed specimen processing are insignificant. These findings may be explained by using the mean of the changes of gene expressions,21  because the changes can be either increased or decreased in different genes or with a small sample size.22  Further study of the effect of processing delay on gene expression profiling is warranted. Nevertheless, these findings suggest that delayed specimen processing can be a confounding factor in the expression of genes and proteins and that standardizing the duration of processing delay could minimize the variations in gene expression profiling.

Preservation at Low Temperature

Various fast-freeze methods have been used to preserve fresh biospecimens, including snap-freezing specimens in liquid nitrogen, embedding specimens in optimal cutting-temperature medium with immersion in −80°C isopentane, and freezing specimens using the carbon dioxide quick-freeze method. All these techniques yielded similar quantities of nucleic acids and proteins and had similar PCR and RT-PCR performance,24  suggesting that results obtained using biospecimens preserved with these freezing methods can be meaningfully compared and validated.

On the other hand, preserving fresh tissue specimens at 4°C overnight yielded nucleic acids and protein of similar quality to that from snap-frozen specimens,25  suggesting that fresh specimens can be kept at 4°C if a short delay in processing is anticipated.

Preservatives, Fixatives, Duration, and Temperature of Preservation and Fixation

Optimal fixation of biospecimens depends on 3 variables at a fixed temperature, namely, tissue thickness, the ratio of tissue to fixative volume, and fixation time.26  Formalin fixation of biospecimens leads to fragmentation of nucleic acids.23,27,28  Hewitt et al26  found that the length of fixation time, when the other variables were controlled, affects the quality of nucleic acids. They have recommended fixation time of 6 to 18 hours for biopsy specimens and 12 to 36 hours for surgical specimens to ensure the quality of nucleic acids. Others have suggested that 8 to 16 hours of formalin fixation at ambient temperature is optimal.23 

Specimens fixed using 70% ethanol or alcohol-based, noncross-linking fixatives yielded a higher quality of nucleic acids and better PCR performance than did those fixed with formalin,28,29  indicating that alcohol-based fixatives can be a useful alternative to formalin.

RNALater, the newer tissue preservative, may be a better choice than formalin fixation or even snap freezing for preserving tissue for RNA studies. Tissue specimens collected into RNALater (Ambion, Austin, Texas; Ambion, Foster City, California; Qiagen, Germantown, Maryland; Qiagen, Crawley, West Sussex, United Kingdom) before being snap frozen or stored at 4°C yielded better-quality RNA and gene expression profiling than did matched, non-RNALater, snap-frozen specimens or formalin-fixed, paraffin-embedded (FFPE) specimens.16,19,3032  However, other researchers33  have not found a difference in the length of the amplicons among specimens that had been preserved in RNALater (R 0901, Sigma Company, St Louis, Missouri), acetone (00341-10-65, Reanal, Budapest, Hungary), or formalin. These findings suggest that the types of preservatives and fixatives as well as the duration of preservation and fixation need to be further studied and standardized to ensure the accuracy of gene expression profiling.

Freeze-Thaw Cycles

Freeze-thaw cycles can affect the quality of RNA and alter gene expression profiling, phosphoprotein levels, and enzymatic activity.31,34  These effects depend more on the total thaw time at ambient temperature than on the number of freeze-thaw cycles. A total thaw time of less than 30 minutes at ambient temperature did not affect RNA quality, regardless of the number of freeze-thaw cycles, and any changes in gene expression corresponded to the degradation of RNA.34  In addition, preserving specimens in RNALater (Ambion, Foster City, California) alleviated the effect of thawing on RNA quality.31,34  These findings suggest that degradation of RNA occurs primarily at ambient temperature and that it takes about 30 minutes to degrade significantly to affect gene expression.

Formalin Fixation and Paraffin Embedding

Formalin fixation and paraffin embedding, the most commonly used method of processing biospecimens, involves many variables. Hewitt et al26  provided a good review and recommendations on standardizing the variables. FFPE specimens yield a lower proportion of amplifiable nucleic acids due to fragmentation, and higher false-negative and false-positive rates of mutation detection than are found in matched snap-frozen specimens.3539 

Gallegos et al37  compared the success rate of PCR amplification using genomic DNA extracted from paired FFPE and snap-frozen lung-cancer specimens. They amplified EGFR exons 18 to 21 and KRAS exons 1 and 2 and found that 100% of snap-frozen specimens were amplified, whereas the success rate of amplification in FFPE specimens varied from 19% to 72% (median, 43.5%), with increased success rates in shorter amplicons (success rate increased from 19% to 61% by reducing the amplicon size from 295 base pairs [bp] to 235 bp). Another study40  compared the mutation-detection rate of KRAS exon 2 in paired frozen and FFPE colorectal-cancer specimens. The discordant rate between frozen and FFPE specimens was 9% and 12% using high-resolution melting analysis and direct DNA sequencing, respectively. Likewise, false-positive rates of 10.5% and false-negative rates of 28.9% were found for VHL mutations of clear cell renal cell carcinoma using FFPE specimens.39  In detecting gene rearrangement of T-cell receptor γ, the discordant rate between frozen and FFPE specimens was 32%.35  Furthermore, FFPE specimens for solid-phase, direct DNA sequencing resulted in one false mutation per 500 bases.41  The false mutations caused by FFPE were primarily C>T or G>A transitions.40,41  However, the high false-positive and false-negative mutation rates from FFPE can be overcome using a high depth of coverage with next-generation sequencing technologies.4244  Overall, a concordance of gene expression profiling between FFPE and snap-frozen specimens can be achieved in amplicons shorter than 200 bases.33,37 

In contrast, array-based genotyping platforms produced comparable results for copy number alteration, single nucleotide variation, and loss of heterozygosity between FFPE and snap-frozen specimens.45,46  In addition, FFPE specimens were well correlated (r = 0.80) with snap-frozen specimens in microRNA microarray expression profiling.47  Nevertheless, standardization of the process will reduce the variability of FFPE specimens, making the most-available, feasible, and economically efficient FFPE specimens an invaluable resource.

Storage Duration and Temperature

The storage duration of FFPE specimens can affect the quality of nucleic acids and gene expression profiling, but the effect is less on microRNA. When 2-year-old FFPE specimens were compared with matched non-FFPE specimens, the gene signals above the backgrounds were reduced 4-fold.16  The FFPE specimens stored for 15 years failed RT-PCR amplification.48  The FFPE specimens stored for 7 years, however, had not significantly altered microRNA expression,49  although a gradual loss of expression was found in those microRNAs that were expressed at low levels and in older (11-year-old) specimens.50  Therefore, aged FFPE specimens that are not fit for RNA or DNA studies may still be fit for microRNA studies. Future studies should investigate the age parameters in this fit-for-purpose approach. Furthermore, reporting the age of FFPE specimens in gene expression profiling may improve the comparison and validation of results.

Whether the temperature and humidity of FFPE storage facilities affect gene expression profiling is unknown. The studies we reviewed did not specify the temperature or humidity of these facilities. The National Cancer Institute's best-practices guidelines recommend that FFPE specimens be stored at a temperature below 80°F (27°C), with humidity and pest control.8 

Table 2 summarizes the characteristics of the studies that used blood specimens.

Table 2.

Characteristics of Studies Using Blood Specimens

Characteristics of Studies Using Blood Specimens
Characteristics of Studies Using Blood Specimens

Storage Duration at Ambient Temperature

Blood specimens are routinely collected in ethylenediaminetetraacetic acid (EDTA) or heparinized tubes. Prolonged storage of blood specimens in those tubes can affect gene expression profiling in a time-dependent manner. Storage of blood specimens in EDTA tubes (Vacutainer system, Becton, Dickinson, and Company, Heidelberg, Germany) at ambient temperature significantly altered the expression of β-actin, cytokeratin-19, GAPDH, HER2, and EGFR. The time interval required to reach an effect differed for each gene, with a significant decrease in the expression of cytokeratin-19 and HER2 after 4 hours, β-actin after 6 hours, GAPDH after 24 hours, and a significant increase in the expression of EGFR after 24 hours.51  However, another study52  of blood specimens in EDTA tubes (Vacutainer, Becton, Dickinson, and Company, Plymouth, Devon, United Kingdom) at room temperature with different time intervals using qRT-PCR for GAPDH found that the threshold cycle values increased at 24 and 30 hours, but the differences were not statistically significant. Yet, storage of blood specimens for 48 hours or longer at ambient temperature resulted in splicing variants of PTEN,53  and the loss of exon 20 of the ATM gene.54  Moreover, another study found that 7-day storage at ambient temperature elevated the expression of IL-6 and TNFα 20-fold.55  However, detection of the BCR/ABL fusion transcript did not differ in peripheral blood and bone marrow aspirate specimens stored at ambient temperature for up to 96 hours.56  These findings indicate that the effect of storage duration at ambient temperature on gene expression profiling is dependent on specific genes or the mutation type, suggesting that every effort should be made to minimize delay in specimen processing. Unified SOPs to standardize the time interval of blood specimen processing would minimize the variations of test results both within and across institutions.

PAXgene Collection Tubes

Blood specimens collected in PAXgene tubes had higher RNA quality and less variation in gene expression profiling than did those collected in EDTA tubes.57,58  However, long-term storage of blood specimens in PAXgene tubes can degrade RNA quality. Kim et al59  suggested that blood specimens collected in PAXgene tubes (PreAnalytix, Qiagen, Valencia, California) should not exceed 1 day at ambient temperature, 4 days at 4°C, or 3 months at −20°C. Another study60  showed that the storage duration and temperature of blood specimens in PAXgene tubes (PreAnalytix, Qiagen, Valencia, California) contributed to 0.09% of the variation in RNA expression. Nevertheless, the evidence suggests that storage duration and temperature, as well as the type of collection tubes for blood specimens, should be standardized and reported to ensure the accuracy of results.

Preanalytic variables in biobanking affect not only the quality of nucleic acid but also gene expression profiling. To ensure the accuracy of test results and to validate those results, implementing unified SOPs in biobanking to control those variables becomes imperative in the era of genomic medicine.

Further studies are needed to determine the effect of surgical manipulation on gene expression profiling, accounting for the confounding factors of warm ischemia; the allowable duration of delayed specimen processing; the optimal type, duration, and temperature of preservation and fixation; and the optimal storage duration of FFPE specimens in a fit-for-purpose approach.

We thank Stanley R. Hamilton, MD, and David A. Wheeler, PhD, for their critical reading of this manuscript. J.H.Z. was supported by NIH grant T32CA163185.

1
Moore
HM
,
Compton
CC
,
Lim
MD
,
Vaught
J
,
Christiansen
KN
,
Alper
J.
2009 biospecimen research network symposium: advancing cancer research through biospecimen science
.
Cancer Res
.
2009
;
69
(
17
):
6770
6772
.
2
Compton
C.
Getting to personalized cancer medicine: taking out the garbage
.
Cancer
.
2007
;
110
(
8
):
1641
1643
.
3
Massett
HA
,
Atkinson
NL
,
Weber
D
,
et al.
Assessing the need for a standardized cancer human biobank (caHUB): findings from a national survey with cancer researchers
.
J Natl Cancer Inst Monogr
.
2011
;
2011
(
42
):
8
15
.
4
Prinz
F
,
Schlange
T
,
Asadullah
K.
Believe it or not: how much can we rely on published data on potential drug targets?
Nat Rev Drug Discov
.
2011
;
10
(
9
):
712
.
5
Eiseman
E
,
Haga
S.
Handbook of Human Tissue Sources: A National Resource of Human Tissue Samples
.
Santa Monica, CA
:
RAND Corporation;
1999
:
xxvii
, 251
p
.
6
Eiseman
E
;
Rand Corporation. Case Studies of Existing Human Tissue Repositories: “Best Practices” for a Biospecimen Resource for the Genomic and Proteomic Era
.
Santa Monica, CA
:
RAND Corporation;
2003
:
xxxviii
, 208
p
.
7
US Department of Health & Human Services
.
Office for Human Research Protections Web site—regulations on human subjects
. ,
2014
.
8
National Cancer Institute
.
Office of Biorepositories and Biospecimen Research Web site—NCI best practices for biospecimen resources
. ,
2014
.
9
Lehmann
S
,
Guadagni
F
,
Moore
H
,
et al.
Betsou International Society for Biological and Environmental Repositories ISBER Working Group on Biospecimen Science F. Standard preanalytical coding for biospecimens: review and implementation of the sample preanalytical code (SPREC)
.
Biopreserv Biobank
.
2012
;
10
(
4
):
366
374
.
10
Moore
HM
,
Kelly
A
,
Jewell
SD
,
et al.
Biospecimen reporting for improved study quality
.
Biopreserv Biobanking
.
2011
;
9
(
1
):
57
70
.
11
Robb
JA
,
Gulley
ML
,
Fitzgibbons
PL
,
et al.
A call to standardize preanalytic data elements for biospecimens
.
Arch Pathol Lab Med
.
2014
;
138
(
4
):
526
537
.
12
ISBER (International Society for Biological and Environmental Repositories)
.
2012 best practices for repositories: collection, storage, retrieval and distribution of biological materials for research International Society for Biological and Environmental Repositories (ISBER)
.
Biopreserv Biobank
.
2012
;
10
(
2
):
81
161
.
13
Engel
KB
,
Moore
HM.
Effects of preanalytical variables on the detection of proteins by immunohistochemistry in formalin-fixed, paraffin-embedded tissue
.
Arch Pathol Lab Med
.
2011
;
135
(
5
):
537
543
.
14
Perez
EA
,
Cortes
J
,
Gonzalez-Angulo
AM
,
Bartlett
JM.
HER2 testing: current status and future directions
.
Cancer Treat Rev
.
2014
;
40
(
2
):
276
284
.
15
Schlomm
T
,
Nakel
E
,
Lubke
A
,
et al.
Marked gene transcript level alterations occur early during radical prostatectomy
.
Eur Urol
.
2008
;
53
(
2
):
333
344
.
16
Freidin
MB
,
Bhudia
N
,
Lim
E
,
Nicholson
AG
,
Cookson
WO
,
Moffatt
MF.
Impact of collection and storage of lung tumor tissue on whole genome expression profiling
.
J Mol Diagn
.
2012
;
14
(
2
):
140
148
.
17
Lin
DW
,
Coleman
IM
,
Hawley
S
,
et al.
Influence of surgical manipulation on prostate gene expression: implications for molecular correlates of treatment effects and disease prognosis
.
J Clin Oncol
.
2006
;
24
(
23
):
3763
3770
.
18
Ricciardelli
C
,
Bianco-Miotto
T
,
Jindal
S
,
et al.
Comparative biomarker expression and RNA integrity in biospecimens derived from radical retropubic and robot-assisted laparoscopic prostatectomies
.
Cancer Epidemiol Biomarkers Prev
.
2010
;
19
(
7
):
1755
1765
.
19
Bray
SE
,
Paulin
FE
,
Fong
SC
,
et al.
Gene expression in colorectal neoplasia: modifications induced by tissue ischaemic time and tissue handling protocol
.
Histopathology
.
2010
;
56
(
2
):
240
250
.
20
De Cecco
L
,
Musella
V
,
Veneroni
S
,
et al.
Impact of biospecimens handling on biomarker research in breast cancer
.
BMC Cancer
.
2009
;
9
:
409
. doi:.
21
Barnes
RO
,
Parisien
M
,
Murphy
LC
,
Watson
PH.
Influence of evolution in tumor biobanking on the interpretation of translational research
.
Cancer Epidemiol Biomarkers Prev
.
2008
;
17
(
12
):
3344
3350
.
22
Blackhall
FH
,
Pintilie
M
,
Wigle
DA
,
et al.
Stability and heterogeneity of expression profiles in lung cancer specimens harvested following surgical resection
.
Neoplasia
.
2004
;
6
(
6
):
761
767
.
23
van Maldegem
F
,
de Wit
M
,
Morsink
F
,
Musler
A
,
Weegenaar
J
,
van Noesel
CJ.
Effects of processing delay, formalin fixation, and immunohistochemistry on RNA recovery from formalin-fixed paraffin-embedded tissue sections
.
Diagn Mol Pathol
.
2008
;
17
(
1
):
51
58
.
24
Steu
S
,
Baucamp
M
,
von Dach
G
,
et al.
A procedure for tissue freezing and processing applicable to both intra-operative frozen section diagnosis and tissue banking in surgical pathology
.
Virchows Arch
.
2008
;
452
(
3
):
305
312
.
25
Sewart
S
,
Barraclough
R
,
Rudland
PS
,
West
CR
,
Barraclough
DL.
Molecular analysis of a collection of clinical specimens stored at 4°C as an alternative to snap-freezing
.
Int J Oncol
.
2009
;
35
(
2
):
381
386
.
26
Hewitt
SM
,
Lewis
FA
,
Cao
Y
,
et al.
Tissue handling and specimen preparation in surgical pathology: issues concerning the recovery of nucleic acids from formalin-fixed, paraffin-embedded tissue
.
Arch Pathol Lab Med
.
2008
;
132
(
12
):
1929
1935
.
27
Macabeo-Ong
M
,
Ginzinger
DG
,
Dekker
N
,
et al.
Effect of duration of fixation on quantitative reverse transcription polymerase chain reaction analyses
.
Mod Pathol
.
2002
;
15
(
9
):
979
987
.
28
Moelans
CB
,
Oostenrijk
D
,
Moons
MJ
,
van Diest
PJ.
Formaldehyde substitute fixatives: effects on nucleic acid preservation
.
J Clin Pathol
.
2011
;
64
(
11
):
960
967
.
29
Gillespie
JW
,
Best
CJ
,
Bichsel
VE
,
et al.
Evaluation of non-formalin tissue fixation for molecular profiling studies
.
Am J Pathol
.
2002
;
160
(
2
):
449
457
.
30
Antonov
J
,
Goldstein
DR
,
Oberli
A
,
et al.
Reliable gene expression measurements from degraded RNA by quantitative real-time PCR depend on short amplicons and a proper normalization
.
Lab Invest
.
2005
;
85
(
8
):
1040
1050
.
31
Johnsen
IK
,
Hahner
S
,
Brière
JJ
,
et al.
Evaluation of a standardized protocol for processing adrenal tumor samples: preparation for a European adrenal tumor bank
.
Horm Metab Res
.
2010
;
42
(
2
):
93
101
.
32
Lawson
MH
,
Rassl
DM
,
Cummings
NM
,
et al.
Tissue banking of diagnostic lung cancer biopsies for extraction of high quality RNA
.
J Thorac Oncol
.
2010
;
5
(
7
):
956
963
.
33
Páska
C
,
Bögi
K
,
Szilák
L
,
et al.
Effect of formalin, acetone, and RNALater fixatives on tissue preservation and different size amplicons by real-time PCR from paraffin-embedded tissue
.
Diagn Mol Pathol
.
2004
;
13
(
4
):
234
240
.
34
Botling
J
,
Edlund
K
,
Segersten
U
,
et al.
Impact of thawing on RNA integrity and gene expression analysis in fresh frozen tissue
.
Diagn Mol Pathol
.
2009
;
18
(
1
):
44
52
.
35
Christensen
M
,
Funder
AD
,
Bendix
K
,
Soerensen
FB.
Comparative investigations of T cell receptor gamma gene rearrangements in frozen and formalin-fixed paraffin wax-embedded tissues by capillary electrophoresis
.
J Clin Pathol
.
2006
;
59
(
6
):
645
654
.
36
Farrand
K
,
Jovanovic
L
,
Delahunt
B
,
et al.
Loss of heterozygosity studies revisited: prior quantification of the amplifiable DNA content of archival samples improves efficiency and reliability
.
J Mol Diagn
.
2002
;
4
(
3
):
150
158
.
37
Gallegos Ruiz MI, Floor K, Rijmen F, Grunberg K, Rodriguez JA, Giaccone G
.
EGFR and K-ras mutation analysis in non-small cell lung cancer: comparison of paraffin embedded versus frozen specimens
.
Cell Oncol
.
2007
;
29
(
3
):
257
264
.
38
Talaulikar
D
,
Gray
JX
,
Shadbolt
B
,
McNiven
M
,
Dahlstrom
JE.
A comparative study of the quality of DNA obtained from fresh frozen and formalin-fixed decalcified paraffin-embedded bone marrow trephine biopsy specimens using two different methods
.
J Clin Pathol
.
2008
;
61
(
1
):
119
123
.
39
Verhoest
G
,
Patard
JJ
,
Fergelot
P
,
et al.
Paraffin-embedded tissue is less accurate than frozen section analysis for determining VHL mutational status in sporadic renal cell carcinoma
.
Urol Oncol
.
2012
;
30
(
4
):
469
475
.
40
Solassol
J
,
Ramos
J
,
Crapez
E
,
et al.
KRAS mutation detection in paired frozen and formalin-fixed paraffin-embedded (FFPE) colorectal cancer tissues
.
Int J Mol Sci
.
2011
;
12
(
5
):
3191
3204
.
41
Williams
C
,
Ponten
F
,
Moberg
C
,
et al.
A high frequency of sequence alterations is due to formalin fixation of archival specimens
.
Am J Pathol
.
1999
;
155
(
5
):
1467
1471
.
42
Kerick
M
,
Isau
M
,
Timmermann
B
,
et al.
Targeted high throughput sequencing in clinical cancer settings: formaldehyde fixed-paraffin embedded (FFPE) tumor tissues, input amount and tumor heterogeneity
.
BMC Med Genomics
.
2011
;
4
:(
68
).
43
Menon
R
,
Deng
M
,
Boehm
D
,
et al.
Exome enrichment and SOLiD sequencing of formalin fixed paraffin embedded (FFPE) prostate cancer tissue
.
Int J Mol Sci
.
2012
;
13
(
7
):
8933
8942
.
44
Schweiger
MR
,
Kerick
M
,
Timmermann
B
,
et al.
Genome-wide massively parallel sequencing of formaldehyde fixed-paraffin embedded (FFPE) tumor tissues for copy-number- and mutation-analysis
.
PLoS One
.
2009
;
4
(
5
):
e5548
. doi:.
45
Lips
EH
,
Dierssen
JW
,
van Eijk
R
,
et al.
Reliable high-throughput genotyping and loss-of-heterozygosity detection in formalin-fixed, paraffin-embedded tumors using single nucleotide polymorphism arrays
.
Cancer Res
.
2005
;
65
(
22
):
10188
10191
.
46
Thompson
ER
,
Herbert
SC
,
Forrest
SM
,
Campbell
IG.
Whole genome SNP arrays using DNA derived from formalin-fixed, paraffin-embedded ovarian tumor tissue
.
Hum Mutat
.
2005
;
26
(
4
):
384
389
.
47
Glud
M
,
Klausen
M
,
Gniadecki
R
,
et al.
MicroRNA expression in melanocytic nevi: the usefulness of formalin-fixed, paraffin-embedded material for miRNA microarray profiling
.
J Invest Dermatol
.
2009
;
129
(
5
):
1219
1224
.
48
Turashvili
G
,
Yang
W
,
McKinney
S
,
et al.
Nucleic acid quantity and quality from paraffin blocks: defining optimal fixation, processing and DNA/RNA extraction techniques
.
Exp Mol Pathol
.
2012
;
92
(
1
):
33
43
.
49
Siebolts
U
,
Varnholt
H
,
Drebber
U
,
Dienes
HP
,
Wickenhauser
C
,
Odenthal
M.
Tissues from routine pathology archives are suitable for microRNA analyses by quantitative PCR
.
J Clin Pathol
.
2009
;
62
(
1
):
84
88
.
50
Szafranska
AE
,
Davison
TS
,
Shingara
J
,
et al.
Accurate molecular characterization of formalin-fixed, paraffin-embedded tissues by microRNA expression profiling
.
J Mol Diagn
.
2008
;
10
(
5
):
415
423
.
51
Benoy
IH
,
Elst
H
,
Van Dam
P
,
et al.
Detection of circulating tumour cells in blood by quantitative real-time RT-PCR: effect of pre-analytical time
.
Clin Chem Lab Med
.
2006
;
44
(
9
):
1082
1087
.
52
Palmirotta
R
,
De Marchis
ML
,
Ludovici
G
,
et al.
Impact of preanalytical handling and timing for peripheral blood mononuclear cells isolation and RNA studies: the experience of the Interinstitutional Multidisciplinary BioBank (BioBIM)
.
Int J Biol Markers
.
2012
;
27
(
2
):
e90
e98
.
53
Liu
Y
,
Malaviarachchi
P
,
Beggs
M
,
Emanuel
PD.
PTEN transcript variants caused by illegitimate splicing in “aged” blood samples and EBV-transformed cell lines
.
Hum Genet
.
2010
;
128
(
6
):
609
614
.
54
Birrell
GW
,
Ramsay
JR
,
Tung
JJ
,
Lavin
MF.
Exon skipping in the ATM gene in normal individuals: the effect of blood sample storage on RT-PCR analysis
.
Hum Mutat
.
2001
;
17
(
1
):
75
76
.
55
Pahl
A
,
Brune
K.
Gene expression changes in blood after phlebotomy: implications for gene expression profiling
.
Blood
.
2002
;
100
(
3
):
1094
1095
.
56
Schoch
R
,
Pitako
J
,
Schafhausen
P
,
et al.
Semiquantitative reverse transcription polymerase chain reaction analysis for detection of BCR/ABL rearrangement using RNA extracts from bone marrow aspirates compared with glass slide smears after 0, 2, and 4 d of storage
.
Br J Haematol
.
2001
;
115
(
3
):
583
587
.
57
Gunther
K
,
Malentacchi
F
,
Verderio
P
,
et al.
Implementation of a proficiency testing for the assessment of the preanalytical phase of blood samples used for RNA based analysis
.
Clin Chim Acta
.
2012
;
413
(
7–8
):
779
786
.
58
Müller
MC
,
Merx
K
,
Weisser
A
,
et al.
Improvement of molecular monitoring of residual disease in leukemias by bedside RNA stabilization
.
Leukemia
.
2002
;
16
(
120
):
2395
2399
.
59
Kim
SJ
,
Dix
DJ
,
Thompson
KE
,
et al.
Effects of storage, RNA extraction, genechip type, and donor sex on gene expression profiling of human whole blood
.
Clin Chem
.
2007
;
53
(
6
):
1038
1045
.
60
Thach
DC
,
Lin
B
,
Walter
E
,
et al.
Assessment of two methods for handling blood in collection tubes with RNA stabilizing agent for surveillance of gene expression profiles with high density microarrays
.
J Immunol Methods
.
2003
;
283
(
1–2
):
269
279
.

Author notes

The authors have no relevant financial interest in the products or companies described in this article.