Literature DB >> 23787919

Tumour morphology predicts PALB2 germline mutation status.

Z L Teo1, E Provenzano, G S Dite, D J Park, C Apicella, S D Sawyer, P A James, G Mitchell, A H Trainer, G J Lindeman, K Shackleton, L Cicciarelli, S S Buys, I L Andrulis, A M Mulligan, G Glendon, E M John, M B Terry, M Daly, F A Odefrey, T Nguyen-Dumont, G G Giles, J G Dowty, I Winship, D E Goldgar, J L Hopper, M C Southey.   

Abstract

BACKGROUND: Population-based studies of breast cancer have estimated that at least some PALB2 mutations are associated with high breast cancer risk. For women carrying PALB2 mutations, knowing their carrier status could be useful in directing them towards effective cancer risk management and therapeutic strategies. We sought to determine whether morphological features of breast tumours can predict PALB2 germline mutation status.
METHODS: Systematic pathology review was conducted on breast tumours from 28 female carriers of PALB2 mutations (non-carriers of other known high-risk mutations, recruited through various resources with varying ascertainment) and on breast tumours from a population-based sample of 828 Australian women diagnosed before the age of 60 years (which included 40 BRCA1 and 18 BRCA2 mutation carriers). Tumour morphological features of the 28 PALB2 mutation carriers were compared with those of 770 women without high-risk mutations.
RESULTS: Tumours arising in PALB2 mutation carriers were associated with minimal sclerosis (odds ratio (OR)=19.7; 95% confidence interval (CI)=6.0-64.6; P=5 × 10(-7)). Minimal sclerosis was also a feature that distinguished PALB2 mutation carriers from BRCA1 (P=0.05) and BRCA2 (P=0.04) mutation carriers.
CONCLUSION: This study identified minimal sclerosis to be a predictor of germline PALB2 mutation status. Morphological review can therefore facilitate the identification of women most likely to carry mutations in PALB2.

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Year:  2013        PMID: 23787919      PMCID: PMC3708559          DOI: 10.1038/bjc.2013.295

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


PALB2, a partner and localiser of BRCA2, is crucial for proficient homologous recombination repair of DNA double-strand breaks through its regulation of BRCA2 and its interaction with BRCA1 (Xia ; Sy ; Zhang ). Bi-allelic inactivating mutations in PALB2 underlie Fanconi anaemia subtype N and have been shown to be associated with high risk of childhood cancers (Reid ; Xia ). Heterozygous germline loss-of-function mutations in PALB2 have been associated with increased risk of breast cancer (Rahman ). The first study that reported an association between PALB2 mutations and breast cancer risk involved familial breast cancer cases and unaffected controls from the United Kingdom. Using only some information obtained from just 10 families, and under strong modelling assumptions, the average relative risk associated with 5 protein-truncating PALB2 mutations was estimated indirectly to be 2.3-fold (95% confidence interval (CI)=1.4–3.9) (Rahman ). Subsequent population-based studies estimated the risk associated with PALB2 mutations to be higher (Erkko ; Southey ). For example, PALB2 c.1592delT was identified in 18 out of 1918 (0.9%) Finnish breast cancer cases unselected for family history compared with 6 out of 2501 (0.2%) unaffected controls (odds ratio (OR)=3.94; 95% CI=1.5–12.1). Using the family histories of the case carriers, PALB2 c.1592delT was estimated to be associated with a 40% (95% CI=17–77%) risk of breast cancer to the age of 70 years (Erkko ). Similarly, PALB2 c.3113G>A was identified in 5 out of 1403 (0.4%) unselected Australian breast cancer cases and 0 out of 764 (0%) unaffected controls (Southey ). Using the family histories of the five carrier cases, the estimated cumulative risk for PALB2 c.3113G>A was 91% (95% CI=44–100%) to the age of 70 years. Therefore, population-based studies of breast cancer that have directly used the family history data have estimated that at least some PALB2 mutations are associated with a breast cancer risk (penetrance) comparable to that of the average pathogenic mutation in BRCA2: 45% (95% CI=31–56%) (Antoniou ). Mutations in PALB2 are rare (varying from 0.1% to 1.5% depending upon the population) (Foulkes ; Rahman ; Tischkowitz ; Dansonka-Mieszkowska ; Papi ; Southey ; Bogdanova ; Casadei ; Ding ; Hellebrand ; Teo , 2013b) but for women carrying them, and their relatives who might also be mutation carriers, knowing their mutation status has the potential to be clinically important as carriers are at high risk of breast cancer. Identified mutation carriers could be informed of optimal, risk appropriate clinical screening and treatment. Potential therapies could include those that target homologous DNA repair dysfunction (Buisson ). As PALB2 mutations have also been associated with increased risk of developing a second breast cancer (Tischkowitz ), risk reducing surgery and treatment might also be considered by PALB2 mutation carriers. The integration of PALB2 mutation testing into clinical practice is still in progress and strategies that effectively identify potential PALB2 mutation carriers could help facilitate this important process. Characterisation of the morphology of breast cancers arising in PALB2 mutation carriers and non-carriers offers the possibility of identifying tumour morphological features predictive of an underlying germline PALB2 mutation, as they have been shown for underlying BRCA1 mutations (Lakhani ; Southey ; Hopper ). This could be conducted at the time of diagnosis and therefore, be used to facilitate personalised treatment strategies, as well as enabling identification of those relatives who have also inherited a similar high breast cancer risk. Breast cancer tumour morphology can be suggestive of underlying familial, if not heritable, risk. We recently reported that, in a population-based sample of 375 women with early-onset breast cancer cases with no known high-risk mutation in a breast cancer susceptibility gene, minimal sclerosis, presence of circumscribed growth, extensive intraductal carcinoma and lobular growth patterns were independent predictors of increased breast cancer risk for their first-degree female relatives (2.0-fold to 3.3-fold increased risk for relatives, P<0.02 for all listed features). Relatives of the 128 (34%) index cases with none of these 4 features were at population risk (standardised incidence ratio=1.03, 95% CI=0.57–1.85), while relatives of the 37 (10%) index cases with two or more features were at high risk (standardised incidence ratio=5.18, 95% CI=3.22–8.33) (Dite ). Breast cancer morphological features can also be used to identify women most likely to carry germline mutations in breast cancer susceptibility genes. It has been known for some time that some morphological features are more common in cancers arising in BRCA1 mutation carriers (Lakhani ). These features have been identified by studying carriers across a wide range of ages at diagnosis and ascertained either because of their strong family cancer history or through population-based sampling. Lack of oestrogen receptor (ER) and progesterone receptor (PR) expression has also been reported to improve prediction of BRCA1 mutation status based on family history (Lakhani ; James ; Mavaddat ). Using a population-based sample of 452 young women with breast cancer, we found that just two breast tumour morphological features (trabecular growth pattern and high mitotic index) were sufficient to identify 28 of the 29 BRCA1 mutation carriers in the study (Southey ). Moreover, prediction of mutation status using these two features was more sensitive and specific than using family history alone, and when combined, the area under the receiver operator curve was in excess of 0.9. A detailed analysis of the morphological features of PALB2 mutation-associated breast cancers has not been previously conducted. Some information about the general morphology of breast tumours arising in PALB2 mutation carriers is available from work studying breast tumours carrying the Finnish founder mutation PALB2 c.1592delT. Mutation carriers with a family history of breast cancer were more likely to have ‘triple negative' tumours (negative for ER, PR, and human epidermal growth factor receptor 2 (HER2) expression) when compared with familial non-PALB2 mutation-associated breast cancers (54.5% and 12.2%, respectively; P<0.0001). The PALB2 c.1592delT-associated tumours were reported to be more often of higher grade and to have greater expression of Ki67, which is a cellular marker for proliferation than tumours arising in non-carriers of the mutation. Carrying this PALB2 mutation was also reported to be associated with reduced survival; comparing affected PALB2 mutation carriers, negative for HER2 expression, with a family history of breast cancer with affected non-carriers of BRCA1, BRCA2, or PALB2 mutations, the hazard ratio was estimated to be 4.57 (95% CI=1.96–10.64; P=0.0004) (Heikkinen ). In this study, we conducted a standardised pathology review of 28 invasive breast cancers arising in women who carry a germline loss-of-function PALB2 mutation. The morphological characteristics of these 28 tumours were compared with those of a population-based sample of 770 unselected breast tumours that had undergone the same standard pathology review.

Materials and methods

Subjects

The women in this study were participants in three breast cancer research resources: the Breast Cancer Family Registry (BCFR) (John ), in particular the Australian BCFR; the Victorian Familial Breast Cancer Cohort (VFBCC) (Sawyer ); and the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab) (Mann ). All participants provided written informed consent to participate in these research programs that were approved by the relevant ethics committees, including the Cancer Council Victoria and the New South Wales Cancer Council, and all participating sites/centres of the BCFR, kConFab, and the VFBCC. This study was approved by the Human Research Ethics Committee of The University of Melbourne.

PALB2 mutation carriers

A total of 28 women with invasive breast cancers who had been found to carry a PALB2 germline mutation were included in this study. This included 24 women who carried PALB2 c.3113G>A (5 from the Australian BCFR, 2 from the Ontario BCFR, 1 from the Utah BCFR, 5 from the VFBCC, and 11 from kConFab). The remaining four women were from kConFab; one was a carrier of PALB2 c.196C>T, another carried PALB2 c.1947_1948insA, and two were carriers of PALB2 c.2982_2983insT. The PALB2 mutation carriers in the Australian BCFR, kConFab, and the VFBCC have been reported previously (Southey ; Teo , 2013b). The PALB2 c.3113G>A carriers in the Ontario BCFR and Utah BCFR were identified via Taqman assay as described in Southey and Teo by screening 1831 and 68 probands from these BCFRs, respectively. Probands from the California (n=2052), New York (n=849), and Philadelphia (n=403) BCFRs had also been genotyped for PALB2 c.3113G>A using Taqman assay but no carriers were identified. The 28 PALB2 mutation carriers were from 21 participating families as described in Table 1.
Table 1

Basic demographics of 28 PALB2 mutation carriers with tumour material available for pathology review

MutationProbandsRelativesAges of diagnosisResourceReference
PALB2 c.3113G>A
3
2
28, 35, 37, 42, 47
Australian BCFR
Southey et al (2010)
 
2
0
45, 57
Ontario BCFR

 
1
0
48
Utah BCFR

 
7
4
32, 40, 41, 47, 47, 48, 49, 49, 54, 61, 63
kConFab
Southey et al (2010)
 
5a
0
33, 38, 42, 44, 45
VFBCC
Teo et al (2013b)
PALB2 c.196C>T
1
0
43
kConFab
Teo et al (2013a)
PALB2 c.1947_1948insA
1
0
42
kConFab
Teo et al (2013a)
PALB2 c.2982_2983insT1147, 54kConFabTeo et al (2013a)

Abbreviations: BCFR=Breast Cancer Family Registry; kConFab=Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer; VFBCC=Victorian Familial Breast Cancer Cohort.

One proband in the VFBCC was a relative of a proband participating in the Australian BCFR, and both were carriers of PALB2 c.3113G>A.

The diagnostic haematoxylin and eosin pathology slides, blocks, or digital images of the haematoxylin and eosin sections for each of the 28 PALB2 mutation carriers were retrieved from the diagnostic centres. A pathology review was conducted by an expert breast pathologist (EP) using a standardised pathology review tool (described below). Data on ER, PR, and HER2 status of the PALB2 mutation-associated tumours were collected, if available, from diagnostic laboratories and pathology reports. The HER2 status was considered to be positive if immunohistochemical test results were ranked 3+ (higher than normal amount of HER2 protein was present) or if tested as positive via fluorescence in situ hybridisation. An immunohistochemical test result of 1+ (normal amount of HER2 protein was present) was classified as negative for HER2 expression while an immunohistochemical test result of 2+ (moderate amount of HER2 protein was present) without a confirmatory fluorescence in situ hybridisation test was classified as equivocal.

Non-PALB2 mutation carriers: population-based sample

The Australian BCFR used population-based sampling to recruit 1485 population-based probands between 1993 and 1999. The DNA derived from the Australian BCFR probands diagnosed before the age of 40 years (n=692) was screened for genetic mutations in the coding and flanking intronic regions of PALB2 using high-resolution melt analysis (Southey ). The Australian BCFR probands diagnosed at ages 40 or older (n=793) were genotyped for PALB2 c.3113G>A using Taqman assay (Southey ). First, primary invasive breast tumours from 836 (56%) of these probands were retrieved from diagnostic centres and systematically reviewed by pathologists as described below and elsewhere (John ; Southey ; Dite ). Among the breast tumours that were reviewed, 40 (5%) were from BRCA1 mutation carriers, 18 (2%) were from BRCA2 mutation carriers, 1 (0.1%) was from a carrier of ATM c.7271T>G and 4 (0.5%) were from TP53 mutation carriers (Southey ; Andrulis ; Chenevix-Trench ; Apicella ; Dite ; Bernstein ; Smith ; Neuhausen ; Mouchawar ; Dite ). Three breast tumours were from PALB2 mutation carriers (Southey ) and were included in the PALB2 mutation carrier group (Table 1). The remaining 770 (93%) tumours were from women not found to carry a mutation in BRCA1, BRCA2, ATM, PALB2, or TP53 after extensive screening (Southey ; Dite ; Mouchawar ).

Pathology review

The haematoxylin and eosin-stained breast tumour tissue was reviewed and scored for morphology features by one or more trained pathologists using a standardised tool as previously applied (Armes ; Southey ; Dite ) and validated (Longacre ). Briefly, tumour grade was scored using the modified system of Bloom-Richardson by assessing mitotic rate, nuclear pleomorphism, and tubular differentiation (Elston ). Tumours were typed into primary growth pattern (representing 75% or more of the tumour or ∼60% of the tumour if a secondary pattern was present) and secondary pattern (representing ∼40% of the tumour) using the World Health Organization breast carcinoma classification with minor modifications (Page ). The carcinomas were categorised into 17 histological types: infiltrating ductal not otherwise specified, tubular, cribriform, micropapillary, mucinous (colloid), secretory, medullary (classical), medullary (atypical), adenoid cystic, metaplastic, lobular (classical), lobular (trabecular), lobular (alveolar), lobular (solid), tubulo (lobular), pleomorphic lobular, or other. Tumours were classified as having a primary histological type with no secondary type if >70% of the tumour presented with features characteristic of the histological type. Tumours were also classified as having both a primary (60%) and a secondary histological type (40%) if the tumour presented with features characteristic of two histological types. Sclerosis of the tumour was defined as fibrosis composed of fibroblasts and/or collagen that is devoid of tumour cells (Van den Eynden ; Dite ). The presence of extensive sclerosis is similar to a fibrotic focus as defined by Van den Enden et al (2008), which has been shown to be easily assessable and reproducible morphological feature in breast cancer (Van den Eynden ). A tumour was defined to have minimal sclerosis if ⩽20% of the tumour volume contained sclerosis and defined to contain extensive sclerosis if >20% of the tumour volume consisted of sclerosis. Information of the remaining tumour features from the pathology reviews was extracted as ‘present' or ‘absent' for statistical analysis as presented in Table 2.
Table 2

Classification criteria of standardised pathology review tool to assess tumour features in invasive breast cancer

 
Criteria for classification
 PresentAbsent
Nuclear grade
Malignant
Bland/intermediate
Minimal tubule formation
Tubule formation observed in <10% of tumour
Tubule formation observed in ⩾10% of tumour
Number of mitotic cells ⩾20
⩾20 Mitotic cells identified per 10 high powered fields
<20 Mitotic cells identified per 10 high powered fields
Syncytial growth pattern
⩾75% of the tumour was observed to consist of broad sheets of tumour cells with indistinct cell borders
Absent
Pushing margins
>50% of tumour border observed to be well defined by a continuous pushing front of tumour cells
Absent
Circumscribed growth pattern
>50% of tumour border observed to be well defined
Absent
Lymphocytic infiltration site
Diffuse within tumour
Absent or observed to be at the border of the tumour
Lymphocytic infiltration level
Intense
Absent/minimal/moderate
Minimal sclerosis
Minimal: ⩽20% of tumour is observed to contain sclerosis
Extensive: >20% of tumour consists of sclerosis which is defined as fibrosis composed of fibroblasts and/or collagen that is devoid of tumour cells
Necrosis
Present
Absent/uncertain
Apoptosis
Intense
Absent/minimal/moderate
Lymphovascular invasion
Cancerous cells observed in blood and/or lymphatic vessels
Uncertain or absence of cancerous cells in blood and lymphatic vessels
Acinar growth pattern
Present
Absent
Lobular growth pattern
Present
Absent
Trabecular growth pattern
Present
Absent
Tubular growth pattern
Present
Absent
Atypical lobular hyperplasia
Present
Absent
Atypical ductal hyperplasia
Present
Absent
Lobular carcinoma in situ
Present
Absent
Ductal carcinoma in situPresentAbsent
The ER and PR status were obtained from immunohistochemical testing of tumour tissues or from histopathology reports held by cancer registries (Armes ) or diagnostic laboratories (McCredie ). The ER and PR status were available for ∼90% of the retrieved tumours of non-carriers of PALB2 mutations (746 and 745 tumours, respectively).

Statistical analyses

Missing data for tumour morphology features (average 4 (0.5%) missing per feature) were estimated using multiple imputation, made possible by the correlations between different morphological features (see Southey and Dite ). Multiple linear logistic regression was used to estimate the OR and 95% CI for associations between each of the morphological features and carrier status (PALB2 mutation carriers vs non-carriers of high-risk mutations, PALB2 mutation carriers vs BRCA1 mutation carriers and PALB2 mutation carriers vs BRCA2 mutation carriers), after adjusting for the number of affected first-degree relatives, number of affected second-degree relatives and age at diagnosis. These adjustments were necessary given that sampling of some carriers was from cases selected specifically because they had a family history and/or an early age at diagnosis. For the multivariate models, the best-fitting model was identified by stepwise selection, starting with the most significant variable and testing the addition of each of the remaining variables. All analyses were performed with Stata Version 11 (StataCorp, 2009). Following convention, all statistical tests were two-sided and P-values<0.05 were considered as nominally statistically significant. The positive and negative predictive values of a morphological feature for unselected cases were calculated based on the prevalence of PALB2 c.3113G>A affected carriers in a population-based study (0.36%) (Southey ) and the prevalence of the morphological feature in the Australian BCFR breast cancer cases recruited by population-based sampling.

Results

Tumour morphological features associated with PALB2 mutation status

Table 3 shows that having minimal sclerosis was associated with PALB2 mutation status (OR=19.7; 95% CI=6.0–64.6; P=5 × 10−7). This association of minimal sclerosis remains strongly significant even after correcting for multiple comparisons (Bonferroni correction). There was marginal evidence for an association between PALB2 mutation status and having minimal tubule formation (OR=5.6; 95% CI=1.3–24.2; P=0.02), having lobular carcinoma in situ (OR=5.7; 95% CI=1.1–29.4; P=0.04), having circumscribed growth (OR=2.9; 95% CI=1.0–8.5; P=0.05), and being ER positive (OR=3.9; 95% CI=0.95–16.3; P=0.06). There was no evidence that any of the other tumour morphological features was associated with PALB2 mutation status. Figure 1 shows examples of tumours with and without sclerosis, circumscribed growth, and tubule formation. After adjusting for having minimal sclerosis, no other feature was significantly associated with PALB2 mutation status.
Table 3

Morphological features of PALB2 mutation-associated tumours compared with those of non-carriers of high-risk genetic mutations

 PALB2
Non-carrier
PALB2 vs non-carrier
 N%N%OR95% CIP-value
Malignant nuclear grade
 Present2071603780.580.21–1.610.3
 Absent82916521   
 Missing
0
0
2
0.3
 
 
 
Minimal tubule formation
 Present2589525685.561.28–24.180.02
 Absent31124332   
 Missing
0
0
2
0.3
 
 
 
Number of mitotic cells ⩾20
 Present1036237312.340.85–6.390.1
 Absent165753069   
 Missing
2
7.1
4
0.5
 
 
 
Syncytial growth pattern
 Present144260.620.06–5.990.7
 Absent279672394   
 Missing
0
0
5
0.7
 
 
 
Pushing margins
 Present271722.810.41–19.270.3
 Absent269374497   
 Missing
0
0
9
1.2
 
 
 
Circumscribed growth pattern
 Present829100132.921.00–8.510.05
 Absent207166186   
 Missing
0
0
9
1.2
 
 
 
Lymphocytic infiltration site
 Present829258340.750.27–2.110.6
 Absent207150265   
 Missing
0
0
10
1.3
 
 
 
Lymphocytic infiltration level
 Present518117150.60.14–2.560.5
 Absent238263983   
 Missing
0
0
14
1.8
 
 
 
Minimal sclerosis
 Present145030419.686.00–64.595 × 10−7
 Absent145073495   
 Missing
0
0
6
0.8
 
 
 
Necrosis
 Present725224291.120.38–3.340.8
 Absent217554170   
 Missing
0
0
5
0.7
 
 
 
Apoptosis
 Present1761563730.890.33–2.450.8
 Absent113920627   
 Missing
0
0
1
0.1
 
 
 
Lymphovascular invasion
 Present621237311.180.37–3.790.8
 Absent217553169   
 Missing
1
3.6
2
0.3
 
 
 
Atypical lobular hyperplasia
 Present0091N/A  
 Absent2810075898   
 Missing
0
0
3
0.4
 
 
 
Atypical ductal hyperplasia
 Present272531.430.24–8.630.7
 Absent269374196   
 Missing
0
0
4
0.5
 
 
 
Lobular carcinoma in situ
 Present273045.651.09–29.380.04
 Absent269373495   
 Missing
0
0
6
0.8
 
 
 
Ductal carcinoma in situ
 Present1761206270.50.19–1.360.2
 Absent113956273   
 Missing
0
0
2
0.3
 
 
 
Acinar growth pattern
 Present2279671870.530.17–1.700.3
 Absent6219913   
 Missing
0
0
0
0
 
 
 
Lobular growth pattern
 Present932283370.860.31–2.390.8
 Absent196848763   
 Missing
0
0
0
0
 
 
 
Trabecular growth pattern
 Present829121161.80.60–5.350.3
 Absent207164984   
 Missing
0
0
0
0
 
 
 
Tubular growth pattern
 Present414125160.650.17–2.440.5
 Absent248664584   
 Missing
0
0
0
0
 
 
 
Lobular/pleomorphic lobular
 Present517.9132171.050.39–2.810.9
 Absent
23
82.1
638
83
 
 
 
Oestrogen receptor
 Present1761444583.930.95–16.250.06
 Absent2724632   
 Missing
9
32.1
80
10.4
 
 
 
Progesterone receptor
 Present1139465600.910.28–2.900.9
 Absent82922429   
 Missing932.18110.52   

Abbreviations: CI=confidence interval; OR=odds ratio.

N/A: unable to be analysed due to zero observations of atypical lobular hyperplasia.

Figure 1

Morphological characteristics of PALB2 tumours. (A) Minimal sclerosis ( × 5 magnification), (B) extensive sclerosis ( × 5 magnification), (C) circumscribed growth ( × 1 magnification), (D) absence of circumscribed growth ( × 2 magnification), (E) minimal tubule formation ( × 10 magnification), and (F) intermediate tubule formation ( × 10 magnification).

With respect to the immunohistochemistry of tumours arising in PALB2 mutation carriers, information on ER and PR expression was available for 19 PALB2 mutation carriers; 11 (58%) were ER+/PR+, 6 (32%) were ER+/PR−, and only 2 (11%) were ER−/PR−. This distribution was different to that for non-carriers from the Australian BCFR (P=0.002). Of the non-carriers from the Australian BCFR with information available on ER and PR expression, 387 (56%) were ER+/PR+, 56 (8%) were ER+/PR−, 78 (11%) were ER−/PR+, and 167 (24%) were ER−/PR−. Expression status of HER2 was available for five PALB2 mutation-associated tumours (data not shown), and only one of these tumours had the triple negative (ER−/PR−/HER2−) phenotype. The Australian BCFR does not currently have data on HER2 expression. For unselected cases, the positive and negative predictive values of minimal sclerosis as a predictive feature of the carrier status of PALB2 c.3113G>A were 2.5% and 99.9%, respectively.

Comparison with breast tumours arising in carriers of high-risk mutations in other breast cancer susceptibility genes

Table 4 presents the individual associations of minimal sclerosis with PALB2, BRCA1, and BRCA2 mutation-associated tumours when compared with tumours of non-carriers of high-risk mutations.
Table 4

Minimal sclerosis in BRCA1, BRCA2, and PALB2 mutation-associated tumours and in non-carriers of high-risk mutations

 
Minimal sclerosis
 
 Present N (%)Absent N (%)Odds ratio (95% CI)P-value
Non-carriers
30 (3.9)
734 (95.3)
 
 
PALB2 mutation carriers
14 (50)
14 (50)
PALB2 vs non-carriers
 
 
 
 
19.7 (6–64.6)
5 × 10−7
BRCA1 mutation carriers
9 (22.5)
31 (77.5)
BRCA1 vs non-carriers
 
 
 
 
3.15 (1.3–7.7)
0.01
BRCA2 mutation carriers
2 (11.1)
16 (88.9)
BRCA2 vs non-carriers
 
   1.29 (0.27–6.17)0.8

Abbreviation: CI=confidence interval.

When compared with tumours arising in PALB2 mutation carriers, those arising in BRCA1 mutation carriers were more likely to have a high mitotic count (>50; P=0.004), extensive sclerosis (OR=0.21; 95% CI=0.05–0.99, P=0.05), and necrosis (P=0.01), be ER negative (P=0.001) and PR negative (P=0.03), and less likely to have a lobular growth pattern (P=0.02). When compared with tumours arising in PALB2 mutation carriers, those arising in BRCA2 mutation carriers were more likely to have extensive sclerosis (OR=0.06, 95% CI=0.004–0.88, P=0.04).

Discussion

This report brings together several lines of evidence that support the relevance of genetic information about PALB2 to breast cancer clinical genetics services. Is it now time for this information to be made available to women who are seeking advice and explanation for their person and family history of breast cancer? The appropriate translation of new genetic information requires clear evidence and cost-benefit analysis. In the specific example of PALB2, there are several characterised genetic epidemiological features of the mutation spectrum that need to be considered and managed in the process of translation. First, is information about PALB2 mutation status clinically relevant? Several reports now provide evidence that the risk of breast cancer associated with at least some PALB2 mutations is of the same magnitude as that associated with ‘high-risk' mutations in other cancer susceptibility genes such as BRCA2 and MSH2 (Antoniou ; Erkko ; Southey ; Win ). Risks of this magnitude support the relevance of this information to clinical genetic services, but what use is this information to women who might be carriers of mutations in PALB2 and at high risk of cancer? For affected women, and especially those identified as carriers of PALB2 mutations at the time of diagnosis, there is the potential for treatment that target homologous DNA repair dysfunction (Buisson ). There is also the importance of advising on and managing the high risk of breast cancer that could involve risk reducing surgery (for both affected and unaffected carriers) and the potential for gene-specific medical risk reduction. Second, mutations in PALB2 are very rare and thus, without additional information, application of traditional genetic counselling and testing regimes would be costly and identify very few carriers. We estimated that the positive predictive value of minimal sclerosis for unselected cases would be about 2.5%, but this estimate has a wide CI due to the lack of precise knowledge about the prevalence of PALB2 mutations in such cases. It should be noted, however, that given the high penetrance of PALB2 mutations, they will be more common in cases with a family history of breast cancer, as are BRCA1 and BRCA2 mutations. Therefore, it would be expected that the positive predictive value of minimal sclerosis will be substantially greater for cases with a family history. In the Australian and other settings, there is also the potential to consider testing for specific mutations in PALB2 that are found more commonly in these populations (Rahman ; Erkko ; Southey ; Teo , 2013b). At present, this might represent some cost saving at the level of genetic testing at the laboratory bench. The increasing introduction of massively parallel sequencing into the diagnostic testing laboratory continues to reduce the cost of testing and expand the genetic distance that can be covered in single instrument runs. This advancement in technology could result in making the detection of PALB2 mutations a natural part of clinical genetic testing, even in contexts other than breast cancer. Third, this study provides important information that could help translation of genetic information about PALB2 into clinical use. Similar to the way that pathology has been used to facilitate the identification of women who carry germline mutations in BRCA1 and the identification of carriers of mismatch repair genes (Southey , 2011; Hopper ), the new information presented here could be used to facilitate the identification of carriers of PALB2 mutations at the time of diagnosis, even irrespective of family history. It is also of note that the key feature associated with carrying a PALB2 mutation (minimal sclerosis in the breast tumour) is also a feature that distinguishes PALB2 mutation carriers from BRCA1 (P=0.05) and BRCA2 (P=0.04) mutation carriers. Moreover, we have previously shown that, even without knowledge of germline PALB2 mutation status, minimal sclerosis is associated with about a five-fold increased risk for relatives of women with early-onset breast cancer (Dite ). The presence of central sclerosis is more frequently identified in basal-like breast cancers, and has been associated with a worse prognosis (Fulford ; Marginean ). Therefore, inclusion of this feature in standard pathology review, particularly for early-onset cases, could help identify families carrying high-risk genetic mutations through means other than conventional approaches based on family cancer history. Despite the key interactions of PALB2 with both BRCA1 and BRCA2 in the same complex during homologous recombination repair, our results, overall, do not provide evidence of similarities in tumour morphological features between tumours arising in PALB2, BRCA2, or BRCA1 mutation carriers. However, it is interesting that we observed five lobular or pleomorphic lobular carcinomas (observed as primary or as secondary histological type) in women with PALB2 mutations that were diagnosed before the age of 50 years (ranging from 37 years to 47 years) and to note that in a population-based study of early-onset breast cancer (diagnosis under the age of 40 years), tumours arising in BRCA2 mutation carriers were more frequently pleomorphic lobular carcinomas compared with those arising in non-carriers of BRCA1 or BRCA2 mutations (Armes ). There has also been consistent evidence that the proportion of ER-negative breast tumours increases with age at diagnosis for BRCA2 mutation carriers (P=1.2 × 10−5 and P=0.02 reported by Mavaddat and Eerola , respectively). It is important to note that the majority of tumours (24 out of 28) that have undergone pathology review in this study have been derived from carriers of the PALB2 c.3113G>A mutation. Therefore, it is unclear whether the predictive value of having minimal sclerosis is specific to PALB2 c.3113G>A or whether it could be extended to all PALB2 mutations. Due to the rarity of PALB2 loss-of-function mutations, an international effort to combine data for a large number of carriers of PALB2 loss-of-function mutations is required to validate tumour morphological features associated with PALB2 mutation status observed in this study. A larger study would also allow for the data to be stratified by age at diagnosis to examine the potential for age-dependent associations with tumour morphology (as is evident for BRCA1 mutation carriers; Hopper ) and for some PALB2 mutations to be associated with triple negative breast cancer (Heikkinen ; Tischkowitz & Xia, 2010). Note, however, that our study has found no evidence that the tumours of PALB2 mutation carriers are more likely to be triple negative, and instead found that if anything they might be less likely.
  54 in total

1.  Population-based estimate of the contribution of TP53 mutations to subgroups of early-onset breast cancer: Australian Breast Cancer Family Study.

Authors:  Judy Mouchawar; Christopher Korch; Tim Byers; Todd M Pitts; Efang Li; Margaret R E McCredie; Graham G Giles; John L Hopper; Melissa C Southey
Journal:  Cancer Res       Date:  2010-05-25       Impact factor: 12.701

2.  Contribution of inherited mutations in the BRCA2-interacting protein PALB2 to familial breast cancer.

Authors:  Silvia Casadei; Barbara M Norquist; Tom Walsh; Sunday Stray; Jessica B Mandell; Ming K Lee; John A Stamatoyannopoulos; Mary-Claire King
Journal:  Cancer Res       Date:  2011-02-01       Impact factor: 12.701

3.  Cooperation of breast cancer proteins PALB2 and piccolo BRCA2 in stimulating homologous recombination.

Authors:  Rémi Buisson; Anne-Marie Dion-Côté; Yan Coulombe; Hélène Launay; Hong Cai; Alicja Z Stasiak; Andrzej Stasiak; Bing Xia; Jean-Yves Masson
Journal:  Nat Struct Mol Biol       Date:  2010-09-26       Impact factor: 15.369

4.  Germline mutations in the PALB2 gene are population specific and occur with low frequencies in familial breast cancer.

Authors:  Heide Hellebrand; Christian Sutter; Ellen Honisch; Eva Gross; Barbara Wappenschmidt; Christian Schem; Helmut Deissler; Nina Ditsch; Verena Gress; Marion Kiechle; Claus R Bartram; Rita K Schmutzler; Dieter Niederacher; Norbert Arnold; Alfons Meindl
Journal:  Hum Mutat       Date:  2011-02-24       Impact factor: 4.878

5.  Histological features of medullary carcinoma and prognosis in triple-negative basal-like carcinomas of the breast.

Authors:  Felicia Marginean; Emad A Rakha; Bernard C Ho; Ian O Ellis; Andrew H S Lee
Journal:  Mod Pathol       Date:  2010-06-25       Impact factor: 7.842

6.  Germline mutations in PALB2 in African-American breast cancer cases.

Authors:  Yuan Chun Ding; Linda Steele; Li-Hao Chu; Karen Kelley; Helen Davis; Esther M John; Gail E Tomlinson; Susan L Neuhausen
Journal:  Breast Cancer Res Treat       Date:  2010-11-27       Impact factor: 4.872

7.  A PALB2 germline mutation associated with hereditary breast cancer in Italy.

Authors:  Laura Papi; Anna Laura Putignano; Caterina Congregati; Irene Piaceri; Ines Zanna; Francesco Sera; Doralba Morrone; Maurizio Genuardi; Domenico Palli
Journal:  Fam Cancer       Date:  2009-09-18       Impact factor: 2.375

8.  Morphological predictors of BRCA1 germline mutations in young women with breast cancer.

Authors:  M C Southey; S J Ramus; J G Dowty; L D Smith; A A Tesoriero; E E M Wong; G S Dite; M A Jenkins; G B Byrnes; I Winship; K-A Phillips; G G Giles; J L Hopper
Journal:  Br J Cancer       Date:  2011-02-22       Impact factor: 7.640

9.  A PALB2 mutation associated with high risk of breast cancer.

Authors:  Melissa C Southey; Zhi L Teo; James G Dowty; Fabrice A Odefrey; Daniel J Park; Marc Tischkowitz; Nelly Sabbaghian; Carmel Apicella; Graham B Byrnes; Ingrid Winship; Laura Baglietto; Graham G Giles; David E Goldgar; William D Foulkes; John L Hopper
Journal:  Breast Cancer Res       Date:  2010-12-23       Impact factor: 6.466

10.  PALB2 mutations in German and Russian patients with bilateral breast cancer.

Authors:  Natalia Bogdanova; Anna P Sokolenko; Aglaya G Iyevleva; Svetlana N Abysheva; Magda Blaut; Michael Bremer; Hans Christiansen; Margret Rave-Fränk; Thilo Dörk; Evgeny N Imyanitov
Journal:  Breast Cancer Res Treat       Date:  2010-12-17       Impact factor: 4.872

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  10 in total

1.  Mutation screening of PALB2 in clinically ascertained families from the Breast Cancer Family Registry.

Authors:  Tú Nguyen-Dumont; Fleur Hammet; Maryam Mahmoodi; Helen Tsimiklis; Zhi L Teo; Roger Li; Bernard J Pope; Mary Beth Terry; Saundra S Buys; Mary Daly; John L Hopper; Ingrid Winship; David E Goldgar; Daniel J Park; Melissa C Southey
Journal:  Breast Cancer Res Treat       Date:  2015-01-10       Impact factor: 4.872

2.  Association of PALB2 sequence variants with the risk of early-onset breast cancer in patients from Turkey.

Authors:  G Cecener; G Guney Eskiler; U Egeli; B Tunca; A Alemdar; S Gokgoz; I Tasdelen
Journal:  Mol Biol Rep       Date:  2016-08-29       Impact factor: 2.316

3.  Development of a novel PTT assay for mutation detection in PALB2 large exons and PALB2 screening in medullary breast cancer.

Authors:  Nikoleta Poumpouridou; Nikolaos Goutas; Christina Tsionou; Kleanthi Dimas; Evi Lianidou; Christos Kroupis
Journal:  Fam Cancer       Date:  2016-04       Impact factor: 2.375

4.  DNA repair genes implicated in triple negative familial non-BRCA1/2 breast cancer predisposition.

Authors:  Marie Ollier; Nina Radosevic-Robin; Fabrice Kwiatkowski; Flora Ponelle; Sandrine Viala; Maud Privat; Nancy Uhrhammer; Dominique Bernard-Gallon; Frédérique Penault-Llorca; Yves-Jean Bignon; Yannick Bidet
Journal:  Am J Cancer Res       Date:  2015-06-15       Impact factor: 6.166

5.  Frequency of pathogenic germline variants in BRCA1, BRCA2, PALB2, CHEK2 and TP53 in ductal carcinoma in situ diagnosed in women under the age of 50 years.

Authors:  Christos Petridis; Iteeka Arora; Vandna Shah; Anargyros Megalios; Charlotte Moss; Anca Mera; Angela Clifford; Cheryl Gillett; Sarah E Pinder; Ian Tomlinson; Rebecca Roylance; Michael A Simpson; Elinor J Sawyer
Journal:  Breast Cancer Res       Date:  2019-05-06       Impact factor: 6.466

6.  Reviewing the characteristics of BRCA and PALB2-related cancers in the precision medicine era.

Authors:  Gabriel S Macedo; Barbara Alemar; Patricia Ashton-Prolla
Journal:  Genet Mol Biol       Date:  2019-04-29       Impact factor: 1.771

7.  2q36.3 is associated with prognosis for oestrogen receptor-negative breast cancer patients treated with chemotherapy.

Authors:  Jingmei Li; Linda S Lindström; Jia N Foo; Sajjad Rafiq; Marjanka K Schmidt; Paul D P Pharoah; Kyriaki Michailidou; Joe Dennis; Manjeet K Bolla; Qin Wang; Laura J Van 't Veer; Sten Cornelissen; Emiel Rutgers; Melissa C Southey; Carmel Apicella; Gillian S Dite; John L Hopper; Peter A Fasching; Lothar Haeberle; Arif B Ekici; Matthias W Beckmann; Carl Blomqvist; Taru A Muranen; Kristiina Aittomäki; Annika Lindblom; Sara Margolin; Arto Mannermaa; Veli-Matti Kosma; Jaana M Hartikainen; Vesa Kataja; Georgia Chenevix-Trench; Kelly-Anne Phillips; Sue-Anne McLachlan; Diether Lambrechts; Bernard Thienpont; Ann Smeets; Hans Wildiers; Jenny Chang-Claude; Dieter Flesch-Janys; Petra Seibold; Anja Rudolph; Graham G Giles; Laura Baglietto; Gianluca Severi; Christopher A Haiman; Brian E Henderson; Fredrick Schumacher; Loic Le Marchand; Vessela Kristensen; Grethe I Grenaker Alnæs; Anne-Lise Borresen-Dale; Silje Nord; Robert Winqvist; Katri Pylkäs; Arja Jukkola-Vuorinen; Mervi Grip; Irene L Andrulis; Julia A Knight; Gord Glendon; Sandrine Tchatchou; Peter Devilee; Robert Tollenaar; Caroline Seynaeve; Maartje Hooning; Mieke Kriege; Antoinette Hollestelle; Ans van den Ouweland; Yi Li; Ute Hamann; Diana Torres; Hans U Ulmer; Thomas Rüdiger; Chen-Yang Shen; Chia-Ni Hsiung; Pei-Ei Wu; Shou-Tung Chen; Soo Hwang Teo; Nur Aishah Mohd Taib; Cheng Har Yip; Gwo Fuang Ho; Keitaro Matsuo; Hidemi Ito; Hiroji Iwata; Kazuo Tajima; Daehee Kang; Ji-Yeob Choi; Sue K Park; Keun-Young Yoo; Tom Maishman; William J Tapper; Alison Dunning; Mitul Shah; Robert Luben; Judith Brown; Chiea Chuen Khor; Diana M Eccles; Heli Nevanlinna; Douglas Easton; Keith Humphreys; Jianjun Liu; Per Hall; Kamila Czene
Journal:  Nat Commun       Date:  2014-06-17       Impact factor: 14.919

8.  Mutation analysis of PALB2 in BRCA1 and BRCA2-negative breast and/or ovarian cancer families from Eastern Ontario, Canada.

Authors:  Taila Hartley; Luca Cavallone; Nelly Sabbaghian; Rachel Silva-Smith; Nancy Hamel; Olga Aleynikova; Erika Smith; Valerie Hastings; Pedro Pinto; Marc Tischkowitz; Eva Tomiak; William D Foulkes
Journal:  Hered Cancer Clin Pract       Date:  2014-08-28       Impact factor: 2.857

Review 9.  PALB2: research reaching to clinical outcomes for women with breast cancer.

Authors:  Melissa C Southey; Ingrid Winship; Tú Nguyen-Dumont
Journal:  Hered Cancer Clin Pract       Date:  2016-04-19       Impact factor: 2.857

10.  Meta-Analysis of Association between PALB2 Polymorphisms and Breast Cancer

Authors:  Ali Dianatpour; Sepideh Faramarzi; Soudeh Ghafouri-Fard
Journal:  Asian Pac J Cancer Prev       Date:  2018-10-26
  10 in total

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