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Genetic predisposition to papillary thyroid cancer Albert de la Chapelle The Ohio State University

Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

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Page 1: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Genetic predisposition to papillary thyroid cancer

Albert de la Chapelle The Ohio State University

Page 2: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Fagin and Wells NEJM, 2016

Page 3: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Heritability of selected cancers

Thyroid 8.48 12.42Testis 8.57 8.5Multiple myeloma 4.29 5.62Prostate 2.21 9.41 0.42Colorectum 2.54 4.41 0.35Breast 1.83 2.01 0.27Lung 2.55 3.16 0.26All cancers 2.15 3.53

Site Family risk ratioUtah1 Sweden2

Twin study3

(proportion of variance)

1. Goldgar et al. 1994 2. Dong and Hemminki 2001 3. Lichtenstein et al. 2000Adapted from Risch 2001

Page 4: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Odds ratio (OR)Odds ratio = likelihood of acquiring the

phenotype (e.g. PTC) if marker present relative to when it is absent

OR >1 is “predisposing”OR <1 is “protective”In the last few years the term odds ratio

has begun to be called “effect size”OR and effect size are equivalent to

“penetrance”

Page 5: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Searching for predisposing genes

• Loss of heterozygosity• Association studies

• Next generation sequencing

• Linkage analysis in families

Page 6: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Linkage in PTCLiterature

• Between 1997 and 2006 at least 5 loci were proposed: 1p21, 2q21, 8p23, 14q32, 19p13

• Despite vigorous efforts no genes have been found

• These data suggest genetic heterogeneity, multigenic and multifactorial inheritance, probably low penetrance.

Page 7: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Main reason for failure of linkage analysis in PTC is

Overdiagnosis (?)

Unfortunately, the Next Generation Sequencing suffers from the same problem.

Page 8: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

• Definition of overdiagnosis“Diagnosis of those that would not, if left alone, result in symptoms or death”

• “Overdiagnosis accounting for thyroid cancer in women South Korea 90%

USA, Italy, France 70-80% Japan, Nordic countries, UK 50%”

• “There is no evidence of new risk factors or increased exposure”

NEJM 2016

Page 9: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Ahn et al. NEJM, 2014

Page 10: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

M

M M

M M

WT

WT WT

WT WT WT WT WTWT

LOD score: 2.05

Page 11: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

M

M M

M M

WT

WT WT

WT WT WT WT WTWT

LOD score: 0.79

Page 12: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD
Page 13: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Summary of candidate genes found by linkage

OSU

Chromosome Gene description No. families Ref

8q24 A lncRNA inside the TG gene 7 1

12q14 SRGAP1 4 2

4q32 An enhancer of unknown function 1 3

1. He et al. Cancer Res 2009

2. He et al. JCEM 2013

3. He et al. PLoS One 2013

Page 14: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

He et al. JCEM 2013

Whole genome linkage analysis of 38 PTC families

Page 15: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Plot of the genome-wide linkage scan with posterior PPL from 38 families.

He et al. JCEM 2013 (V. Vieland)

Page 16: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

SRGAP1, Slit-Robo Rho GTPase activating protein 1 gene

• Located in 12q14; found by linkage• Different missense mutations segregate with PTC

in 3 families• Missense mutations occur in sporadic cases and

controls (OR 1.21, p=0.0008)• Missense variants impair the inactivation of

CDC42, a key function• SRGAP1 is a candidate gene for PTC susceptibility

and has low-medium penetrance

Page 17: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

A>C enhancer mutation in gene desert found by targeted deep sequencing

He et al. PLoS One 2013

Page 18: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Long-range enhancer mutation 4q32 A>C

• Enhancer element is highly conserved• ChIP assay confirms enrichment of enhancer

marks, e.g. H3K4me1• Enhancer binds TFs POU2F and YY1• Risk allele (C) greatly impairs TF binding• Enhancer RNA is greatly downregulated in

thyroid tumors

Page 19: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Enhancer A>C mutation in 4q32 is ultra rare

• Found in 11 affected individuals of one large non-medullary thyroid carcinoma family

• Not found in 38 other families• Not found in 2676 sporadic cases• Not found in 2470 controls• Target genes not yet found

This suggests an ultra-rare, high-penetrance mutation

Page 20: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Enhancer mutation in 4q32Counseling

• Initial pedigree had 11 affected individuals

• Extensive counseling has resulted in much larger pedigree

• Testing for mutation: positive 34/68negative 34/68

• Sex ratio in mut. positive individuals: males n=17

females n=17

Page 21: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Hypothesis

Most of the heritability in PTC is due to (common?) low-penetrance genes

The way of approaching these is….

Page 22: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Genome-wide association study

GWAS

Page 23: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Genome-wide association studies, GWAS

• Principle: search for marker that is more common in cases than in controls

• Discovery test: type many (e.g. 1 million) SNPs in e.g. 1000 cases, 1000 controls

• Validation test: type top SNPs (e.g. 50) in e.g. a further 2000 cases, 2000 controls

• Replication test: type top SNPs (e.g. 5) in further cases and controls from different populations

• Because of multiple testing, apply rigorous significance standards (e.g. p 10-8)

Page 24: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

GWAS-generated loci for PTCSummary, first two GWAS

• 9q22 (OR 1.8) intergenic, apparently related to one or two lincRNA genes (data shown). FOXE1 nearby

• 14q13 (OR 1.37) intergenic, risk allele affects thyroid specific lincRNA (data shown). NKX2-1 nearby

• 2q35 (OR 1.34) in DIRC3 gene

• 8p12 (OR 1.36) in first intron of neuroregulin (NRG1) gene. Risk allele lowers gene expression

• 14q13 (OR 2.09) intergenic, close to but independent of first 14q13 locus

Page 25: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Putative lincRNA transcripts in 9q22PTCSC = papillary thyroid cancer susceptibility candidate

unspliced transcript of PTCSC2 (>60 Kb) spans the genomic region containing SNP rs965513.

rs96

5513

Shared haplotype

rs18

7743

1rs

1098

3700

rs15

6196

0rs

7871

887

rs18

6727

7

FOXE1PTCSC2-unspliced

PTCSC2-spliced

Page 26: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Three enhancers and 4 functional variants in a ~33 kb block in 9q22

He et al. PNAS 2015

Page 27: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

89 kb 247 kb

Two GWAS SNPs in Chromosome 14q13.3

PTCSC3

rs944289

MBIP

rs116909374

SFTA3 NKX2-130 kb

lincRNA (TCONS_00022711)

Page 28: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

PTCSC3GAPDH

PTCSC3

GAPDH

PTCSC3 in 14q13 locus

Page 29: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

0.2

0.4

0.6

0.8

2^-(D

elta

Ct)

Normal, NKX2.1 Vs rs944289

CCn=11

CTn=33

TTn=28

0.2

0.4

0.6

0.8

2^-(D

elta

Ct)

Tumor, NKX2.1 Vs rs944289

CCn=11

CTn=31

TTn=29

rs944289[T]

Adjacent unaffected Tumor

CCn=11

CTn=31

TTn=29

CCn=11

CTn=31

TTn=29

2^-d

elta

Ct

2^-d

elta

Ct

The risk allele [T] of the SNP increases the expression of NKX2-1 (TTF1) in thyroid tissue

Kruskal test p-value =0.0899 Pairwise Wilcoxon test, TT vs CC, p value= 0.14TT vs CT, p value= 0.046

Kruskal test p-value =0.0200 Pairwise Wilcoxon test, TT vs CC, p value= 0.074TT vs CT, p value= 0.0074

Page 30: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

PTC: Examples of clinical association at the 14q13 locus

Data from genotyping 1216 cases and 1416 controls

• rs965513 associates with larger tumor size (p=0.025) and extrathyroidal expansion (OR=1.29, p=0.045)

• Rs2439302 associates with lymph node metastasis (OR 1.24, p=0.016) and multifocality of the tumor (OR 1.24, p=0.012)

Much more to come…

Jendrzejewski et al. Thyroid 2016

Page 31: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Predictive power of GWAS lociTowards the development of a risk panel

• 5 loci described so far• ORs range from ~1.4 to ~2.1• Are these ratios additive?

2 large cohorts of cases and controls genotyped for the 5 loci

Ohio 747 cases 1047controls; Warsaw 1795 cases 2090 controlsAdditive risks sought

Liyanarachchi et al. Thyroid 2013

Page 32: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Cumulative odds ratios relative to number of risk alleles for 5 GWAS SNPs

Liyanarachchi et al. Thyroid 2013

Page 33: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Third GWAS deCODE + OSU

Paper submitted, Gudmundsson et al. 2016

•Previous 5 loci confirmed•5 new loci detected•Involvement of coding genes observed

Page 34: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Next generation sequencing (NGS)* Whole exome sequencing WES* Whole genome sequencing WGS• In principle predisposing genes can be found in individual

patients by whole genome sequencing and perfect bioinformatics

• In practice this does not work• Power of resolution can be improved by studying families

searching for variants shared by affecteds• When families are reasonably large linkage can help

focus search for relevant variants• Discrimination power can be enhanced by haplotyping• NB overdiagnosis of PTC

Page 35: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

WES of PTC• Our first NGS experiment• Study 7 PTC families with > 4 affected

• Do WES on 2 affected/family• Present results:

Positive finding in 2

Page 36: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Whole exome sequencing in 7 PTC families

*

*

*

** * * *

* *

* * *

Whole Exome Sequencing

* Genotyping used for Linkage Analysis

**

** * * **

**

* *

*

*

Page 37: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Filtering principles and resultsConditions and filtering No. of variants

• Variants detected ~1 million/individual

• Quality filtering ~200,000/individual

• Elimination of common variants (>0.01) ~10,000/individual

• Variant shared by the 2 affecteds ~2000/family

• Not found in other than one family ~400/family

• Deleterious by nature of variant & conservation ~100/family

• Expressed in thyroid ~40/family

Akagi, Symer et al.

Page 38: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

How to filter the remaining candidates (n=40)

• Validate mutation by Sanger• Literature (cancer involvement?)• Databases (same mutation seen?)• Cosegregation in the family• Genotyping results from deCODE• Linkage (peak or valley)• Haplotype sharing• Population occurrence

Page 39: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Segregation of SRRM2 c.1037 (S346F) variant in Family 7

Haplotype sharing

Typing of PTC cases and controls:7/1170 sporadic cases0/1404 controls

OR = 8.14; p-value = 0.049

0/138 familial cases

Page 40: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Haplotype sharing:a good filter to eliminate candidate variants

(Final 21 candidates from Family 7)

Page 41: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Linkage analysis of Family 7

SRRM2 (chr 16)

Page 42: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

SRm300 aka SRRM2 Gene (Serine/arginine repetitive matrix protein 2)

NM_016333: 9379 nt in 15 exons Ser346Phe

S346F

1

human 339 KDKDKKEKSATRPSPSPERSSTGPEPPAPTPLLAERHGGSPQPLAT 383mouse 241 KD--KKEKSAVRPSPSPERSSTGPELPAPTPLLVEQHVDSPRPLAA 285chimpanzee 339 KDKDKKEKSATRPSPSPERSSTGPEPPAPTPLLAERHGGSPQPLAT 383pig 339 KGKDKKEKSAVRSSPSPERSSTGPEPPAPTPLLAEQHGGSPQPLAT 383dog 339 KDKE-KEKSGIRPSPSPERSSTGPEPPAPTPLLAEQHGGSPQPLAT 381cat 263 KDKD-KEKSAIRPSPSPERSSAGPEPPAPTPLLAEQHGGSPQPLAT 307cattle 338 KD--KKEKSAVRPSPSPERSNTGPEPPAPTLLLAEQHGGSPQPLAT 381sperm whale 355 KDKDKKEKSAVQPSPSPERSSTGPELPAPTPLLAEQYGGSPQPLAT 400

2752RSD-1 RSD-2

Protein: 2752 aa 300 kDa

Page 43: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Heat map of 1642 alternative splicing eventsRNA-Seq data: alternatively spliced transcripts in the cases were differentially expressed when compared to controls

PSI: the ratio of the “included” expression level vs. the sum of both spliced isoforms.

Yellow: higher PSI. Blue: lower PSI.

Page 44: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Main problems

• Only coding DNA typed

• Unexpectedly common mutation (>1%; >3% etc.) would be filtered out

• Only mutations classified as “pathogenic” are considered

Page 45: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

121781

$ $ $

144961

150004

$

$

$

$

128705

$ $

$

$

$ $

$

*

**

$

$

$

*

**

3 6

$

$ $

89281 75700

69238 20778

*PTC

Melanoma

** PTC & melanoma

Goiter or nodules Other benign thyroid disease

KEY

Spherocytosis

$, Whole genome sequence

Other malignancy

$ $ $

$$

$ $ $ $

$

Whole genome sequencing performed in 8 families

Page 46: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

FILTERING

Page 47: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

Whole genome sequencing in PTC familiesSummary of results in 8 families

• Filtering excluded everything except coding variants of genes expressed in thyroid tissue and with predicted pathogenicity

• The median number of remaining candidate genes per families was 27 (range 14-83)

• Efforts to identify the correct gene(s) are underway

Page 48: Genetic predisposition to papillary thyroid cancer by Albert de la Chapelle, MD, PhD

So What?

Consequences of gene discoveries

• Improved molecular insight; pathways?Yes but slow

• Diagnosis? Yes but mainly in families

• Clinical stratification?Promising but so far modest impact