The 100,000 Genomes Project · 2019-01-08 · pack samples compared to the 0h control AT and GC...
Transcript of The 100,000 Genomes Project · 2019-01-08 · pack samples compared to the 0h control AT and GC...
The 100,000 Genomes Project
Cancer Sample Quality J Louise Jones
Clinical Lead for Molecular Pathology Genomics England
Consultant Pathologist Barts Health
‘Standard’ Tissue Handling
Operative procedure “Warm ischaemia”
Whole sample in fixative
Delivery to Pathology
Sample ‘cut-up’
Type of operation:
Cut vascular supply
Size of sample Volume of
fixative Type of fixative
Time since procedure:
2hrs – 48hrs
Size of blocks: Standard vs ‘mega’ block
Sample processing
Different machines Different programmes
Weekend programmes: additional fixation 12hrs
• Standard fixation is ‘Formalin’
– 40% formaldehyde in 100w/v distilled water = 100% formalin
– 10% formalin is standard
– 10% neutral buffered formalin = phosphate buffered saline
• Impact of formalin on nucleic acid:
– Fragmentation
– Base modification
– Cross-linking within DNA and between DNA and proteins
Effect of fixation on nucleic acid
Optimal preservation of nuclei acid afforded by snap-freezing samples: Liquid nitrogen (-176oC) or Isopentane cooled in LN
Fresh Frozen (FF) samples optimal
Effect of formalin fixation on WGS
“Choppiness” prevents reliable CNV and SV calling
Data courtesy of J Becq, Illumina
‘Optimal’ Tissue Handling
Operative procedure “Warm ischaemia”
Whole sample collected fresh
Delivery to Pathology < 2hrs
Sample ‘cut-up’
Type of operation:
Cut vascular supply
Snap-frozen
Reduces variability Limits DNA damage
2
• Early pilot data: real-world FFPE
–High rate of fails pre-sequencing
–Patterns of severe coverage bias impede CNV calling • Development of series of experiments?improvement
–controlled side-by-side replicates, varying only single parameters
• Largely around DNA extraction conditions (temperature, salt)
–Similar experiments performed across a number of centres
• Different and evolving background conditions for molecular pathology • Massive drive on sample-handling data
–Fully annotate pilot samples
–Fully annotate experimental samples Massive integrated dataset
• Multi-centre
• Multiple tissue types
• Included variation in conditions around experimental parameters
• Pre-sequencing QC and sequencing QC metrics
Development of insights
FFPE - 19 + 17 = 36 FF - 6 + 10 = 16 Blood - 2 + 10 = 12
Tissue type e.g
lung
Cold Ischaemia
time
Tissue Block Size
Fixative PH of Fixation
Fixation time
Processing Machine
Clearing Agent
Processing Protocol
Time in Fixative on processor
Time in hot wax
Maximum temp
during processing
FFPE sample Type
Number of scrolls, sections or punches
Thick- ness or dia- meter
Sample disrupted prior to de-wax
De- wax Agent
De-wax Protocol E.g. tube or slide
Re- Hydrati on
56 degree lysis inc. time
56 degree lysis inc. agitation
Reverse x-linking temp
Reverse x-linking inc. time
RNA removal
DNA Purification kit
Manual or automated purification
No. of
elution's
Elution buffer
Elution volume
13 FFPE DNA extraction protocols from 10 centres
reviewed
Tissue Handling Variables
Data courtesy of Shirley Henderson & Pauline Robb, Oxford
Data courtesy of Dr Shirley Henderson & Pauline Robb, Oxford
Tissue Handling Variables
Tissue type
Cold Ischaemia time Tissue Block Size Fixative Fixation pH pH checked fixation time
Tissue processing machine man Tissue processing machine model Processing xylene free Processing Protocol Time in fixative on the processor Time in hot wax on the processor min Maximum temp during processing degrees
tumour type tumour sample cellularity
percent neoplastic Thicknness/diameter Necrosis
Sample Type Number of scrolls sections or punches
De Paraffinisation Agent De Paraffinisation Protocol Re Hydration 56 degree lysis incubation time 56 degree lysis incubation agitation Reverse x.linking temperature Reverse x.linking incubation time minutes Reverse x.linking additions RNA removal DNA purification kit DNA Purification manual or automated
Percent aligned Percent chimeric pairs Median insert size Diversity
GC dropout AT dropout
DeltaCq measured by Illumina
Responses: DNA QC Metadata collected for Cambridge, ICL, KCL, Oxford, UCLH Responses: WGS QC
2 multivariate analysis performed (where n > 10 for each factor of each covariate): • Metadata with DNA QC • Metadata with WGS QC
86
Multivariate Regression
Orientation of arrow shows improvement of the metric compared to the mean (dashed line). Number is the sample size. The length of the bar is proportional to the effect of this factor on deltaCq
Observations:
• Block size: standard improves; mega worsens deltaCq
• Time in hot wax: 140 to 360 min improves; 490 – 540
worsens deltaCq Fixation time: >48h worsens deltaCq
• Time in fixative on processor: < 60 min improves deltaCq
• Samples type: Scrolls worsens deltaCq
• RNA removal: if yes improves deltaCq; if no worsens
deltaCq 87
Multivariate Analysis on deltaCq
Observations: • Block size: small improves AT and insert size but worsen GC; mega worsens % chimeric pairs, % aligned
• Time in fixative on processor: 180 min improves % aligned, diversity, insert size; 2900 min worsens % chimeric pairs, %
aligned, diversity and insert size
• Sample type: Sections improves % chimeric pairs; Scrolls improves AT worsens GC; cores worsens % aligned, diversity and
insert size
• RNA removal: if yes improves GC and insert size
• Fixative: Neutral buffered formalin improves AT, % chimeric pairs, % aligned; 10% formal saline worsens AT, chimeric pairs
and % aligned but improves GC
• Fixation time: 24-48h improves % chimeric pairs, % aligned, diversity and insert size; >48h improves GC but worsens
chimeric pairs, % aligned, diversity and insert size 88
Block - standard Block - mega
Block - small
AT Dropout GC Dropout % chimeric pairs % aligned diversity m. Insert size ation on processor 2900 min
ixation on processor 180 min
ixation on processor <60 min
Sample - sections
Sample - scrolls
Sample - cores
RNA removal - yes
RNA removal - no
Neutral bufferd form
nbuffered 10% formal salin ixation time 24-48 h
Fixation time >48h
Multivariate Analysis on Sequence QC
‘Optimal’ Tissue Handling
Operative procedure “Warm ischaemia”
Whole sample collected fresh
Delivery to Pathology < 2hrs
Sample ‘cut-up’
Type of operation:
Cut vascular supply
Snap-frozen
Operative procedure “Warm ischaemia”
Whole sample collected fresh
Delivery to Pathology < 2hrs
Sample ‘cut-up’
Type of operation:
Cut vascular supply
Small FFPE ‘Genomic Block’
10%NBF <36hrs fixation
Fresh Frozen samples give best chance of WGS success For FFPE: need ‘optimised’ tissue handling
Impact of Optimised Tissue Handling
• Communication: – Timely contact from theatre
• Labour intensive: – Requires ‘on-call’ specimen collection – Requires ‘on-call’ pathologist cut-up
• Against current workflow
– Push versus pull
• Space issues
– Access to cut-up bench according to sample arrival
• Facilties – Availability of liquid nitrogen for snap-freezing
Challenge of Optimised Tissue Handling
• Cooling sample to inhibit enzyme activity – Observational data from samples with prolonged refrigeration prior
to sampling
– Samples (lung excisions) refrigeration post-surgery for 12-72 hrs
– Piece taken for genomic analysis – into FFPE
– Remaining sample fixed for routine cut-up
– DNA extracted using Qiagen protocol
– Submitted to Genomics England
Approaches to Mitigate Cold Ischaemia
22 hrs
72 hrs
Sample refrigeration: variable delta Cq: not
related to ischaemic time
Good quality sequence QC
Data courtesy of Illumina
Fresh specimen (<1hr post Sx) Refrigerate 4oC
Vacuum Pack RT
(7) 24hrs 48hrs 72hrs
Frozen FFPE Vacuum Pack 4oC
FF + FFPE FF + FFPE FF + FFPE
FF tissue: DNA extraction (Qiagen) RNA extraction Morphology FFPE: Morphology Immunohistochemistry 8 samples (2 bilateral), all conditions in duplicate
Assessment of Vacuum-Packing
Yield is excellent and variable regardless of conditions
Diversity and % aligned are excellent. Variations are among expected noise
Insert sizes are not reduced in the vacuum pack samples compared to the 0h control AT and GC coverage are in the expected range for FF
samples
Patient 3: QC data – all VP, RT versus 4oC
The analysis showed very good quality libraries and no signs of degradation regardless of the experimental condition.
Data courtesy of Illumina
Tumour FF Time =0 Tumour FF VP 72hrs
Normal FFPE Time =0 Normal FFPE VP 72 hrs
Morphology Maintained
Excellent RNA integrity to 48 hrs
Implementation of vacuum packing into
Pathology
Vacuum Pack in Theatre
Into fridge or coolbox
Transfer in coolbox to Pathology
Refrigerate until cut-up
3
• Molecular Pathology handling is absolutely key
–Size of block, processor time, fixation time, fixative
• FFPE remains suboptimal compared to FF
–Tight molecular pathology will improve sequence quality
–CNV calling from ‘good’ FFPE is still sub-optimal (10-fold increase in CNVs)
–Ongoing work required….
• Fresh Frozen tissue remains superiorand gold standard
–Time can be ‘suspended’ using vacuum-packing and/or refrigeration
–Implementation of vacuum packing/refrigeration will take time and incur (modest) cost
• DNA extraction conditions
–Likely important influences of scrolls/sections, proteinase K lysis +others
–Modification of RXL temp/salt can significantly improve sequence from tissue highly compromised from upstream mol path handling
–Caution: not universal panacea; ??negative impact on well-handled tissue
Key Determinants of Tissue Quality
Annals Oncology 2016; 27: 532
• Higher frequency of 90bp from UMFIX vs NBF
• Higher frequency of 129bp and 305bp fragments from UNFIX (SF significantly higher)
• Greater specificity in SNV calls in UNFIX and SF vs NBF
SNV Calls
UMFIX superior to NBF
Annals Oncology 2016; 27: 532
Alternative Freezing Strategies
GEL Code Treatment (Time 0) Time = 4hrs
1 Liquid Nitrogen – onto dry ice -80oC
2 Isopentane on dry ice -80oC
3 Cryospray (indirect) – onto dry ice -80oC
4 Dry ice -80oC
5 Wet ice -80oC
6 Saline – into fridge (4oC) -80oC
7 Cryospray (direct) -80oC
DNA Quality (Tapestation)
6A 1A 5A 2A 3A 4A 1B 5B 3B 2B 4B 6B 2C 1C 6C
X 8.5 8.3 8.7 9.0 8.7 8.9 7.4 9.1 8.8 8.7 X 8.6 8.8 6.2
Sample
DIN
RNA Quality
• Optimal tissue handling is essential for WGS
• Fresh-frozen samples yield highest quality whole genomes
• Attention to detail can significantly improve fixed samples: – ‘Optimised FFPE’
• Need to consider alternative strategies: – Refrigeration
– Vacuum-packing
– Alternative fixatives
– Alternative freezing strategies
Summary
Oxford BRC
• Prof Anna Schuh
• Dr Shirley Henderson
• Ms Pauline Robb
Illumina
• Mark Ross
• Jennifer Becq
• David Bentley
Genomics England
• Clare Turnbull
• Jo Mason
• Kay Lawson
Experimental Leads
• Gerry Thomas
• Adrienne Flannagan
• Clare Verrill
• Emily Shaw
Acknowledgements