Abstract
Purpose
Limited data are available regarding the partner and localizer of BRCA2 (PALB2) in Chinese patients with early breast cancer. This study aimed to assess the spectrum and characteristics of germline PALB2 pathogenic variants in this population.
Methods
Peripheral blood samples were collected from 1556 patients diagnosed with BRCA1/2-negative early-onset breast cancer. All coding regions and exon‒intron boundaries of the PALB2 genes were screened through next-generation sequencing.
Results
The prevalence of PALB2 pathogenic variants was approximately 0.77% in the cohort. Eleven PALB2 pathogenic variants were identified in twelve participants, including five frameshift mutations and six nonsense mutations. All other variants were detected once, except for PALB2 c.1056_1057del (detected twice). Two PALB2 carriers (2/12, 16.7%) have documented family history of breast cancer and/or ovarian cancer. Patients with a positive family history exhibited a threefold higher possibility of being identified as PALB2 carriers than those without a family history (2% vs. 0.69%), although the difference was not statistically significant (p = 0.178). Compared to non-carriers, PALB2 carriers has a tendency to appear in younger age (≤ 30 years) (25% vs 14.4%), human epidermal growth factor receptor-2 (HER2)-negative status (83.3% vs. 70.2%), and diagnosed with invasive micropapillary carcinoma (16.7% vs 3.1%).
Conclusion
The prevalence of the germline PALB2 pathogenic variants was approximately 0.77% in Chinese patients with BRCA1/2-negative early-onset breast cancer. Our findings is crucial for understanding population-specific genetic risks and offering insights that can enhance genetic counseling and genetic testing strategies in this population.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
The partner and localizer of BRCA2 (PALB2) is a crucial mediator of homologous recombination-mediated DNA repair. During DNA double-strand breaks (DSBs), BRCA1 recruits PALB2, which subsequently binds to BRCA2. This binding localizes BRCA2 and radiation-sensitive protein 51 (RAD51) to damaged DNA sites, facilitating recombination repair, thereby contributing to the preservation of genome integrity and the suppression of cancer development (Xia et al. 2006; Zhang et al. 2009; Sy et al. 2009; Buisson et al. 2010). Germline PALB2 variants are associated with a moderate-to-high risk of development breast cancer (Easton et al. 2015; Couch et al. 2017; Zhou et al. 2020; Breast Cancer Association Consortium et al. 2021), specifically in younger carriers (Antoniou et al. 2014). Individuals aged over 40 years carrying the PALB2 gene exhibit a 5–8 times higher risk of breast cancer compared to the general population, whereas PALB2 carriers aged below 40 years exhibit an 8–9 times higher risk than the general population (Antoniou et al. 2014).
The prevalence of germline PALB2 pathogenic variants has been identified in 0.66–0.97% of Chinese patients with breast cancer unselected for predisposing factors (Zhang et al. 2017; Wu et al. 2020; Zhou et al. 2020; Fu et al. 2021), 0.40%–0.86% in other Asian cohorts (Japan (Momozawa et al. 2018) and Malaysia (Yang et al. 2017)), and 0.87% in Caucasian population (Couch et al. 2017). Among patients with hereditary high-risk breast cancer, including early-onset breast cancer, familial breast cancer, bilateral breast cancer, triple-negative breast cancer (TNBC) and male breast cancer, PALB2 mutation rates are relatively high. In the European population, rates range from 1.3 to 2.7% (Butz et al. 2023; Couch et al. 2015; Erkko et al. 2007; Kluska et al. 2017; Weitzel et al. 2019), 1.0–1.3% in the Australian and New Zealand populations (Southey et al. 2010; Thompson et al. 2015), and 1.0%–2.6% in the previous Chinese studies (Cao et al. 2009; Li et al. 2015; Kwong et al. 2021). The results of mutation frequency of PALB2 vary due to different criteria for hereditary high-risk factors.
Breast cancer is the most common cancer among Chinese women, with a reported crude incidence of 52.81 per 100,000 in 2019 (Yin et al. 2023). This includes more than 16% of early-onset breast cancers, with a rising trend (Guo et al. 2019; Yin et al. 2023). A substantial number of early-onset cases pose a significant public health burden in China. Early onset of breast cancer is a hereditary high-risk factor and associated with unique clinicopathological characteristics. Identification of PALB2 variants not only enhances disease management for carriers but also offers valuable data for genetic risk assessment in other family members. However, numerous studies on PALB2 germline pathogenic variants in early-onset breast cancer have been focused on Europeans and Americans, with limited data available on young Chinese patients.
Analysis of the genetics in a large-scale early-onset breast cancer cohort will offer a deeper insight into the distribution and characteristics of PALB2 variants within this group. This study aimed to assess the spectrum and clinicopathological features of PALB2 pathogenic variants in Chinese patients with early-onset breast cancer, irrespective of family history.
Material and methods
Study population
The cohort included individuals with a confirmed invasive breast cancer diagnosis at or below the age of 40 years at the Fujian Medical University Union Hospital, a tertiary care hospital in China, between 2005 and 2023. All the individuals tested negative for germline BRCA1/2 mutations. Male patients, individuals under age 18 years old, or those with carcinoma in situ were excluded. The final analysis included 1556 eligible patients with early-onset breast cancer. Peripheral blood specimens (3–5 ml) were collected after obtaining informed consent. In this study, the procedures involving human participants adhered to the ethical standards of the institutional and/or national research committee and the Declaration of Helsinki and its subsequent amendments or comparable ethical standards.
Data collection
Demographic data were collected using semi-structured questionnaires, and clinicopathological data were extracted from electronic medical records by uniformly trained medical staff. Demographic data included prior diagnosis of invasive breast cancer, personal history of breast cancer and family history of cancer. Clinicopathological characteristics included tumor size, lymph node involvement, morphology, histological grade, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki67 index. ER- and PR-positive status was defined as > 10% tumor cell staining. Hormone receptor (HR) -positive status was defined as having positive status for ER or/and PR. HER2 positive status was defined as HER2 protein expression of 3 + or HER2 gene amplification by fluorescence in situ hybridization (FISH).
DNA extraction and sequencing of gene PALB2
Genomic DNA was extracted from peripheral blood samples using the Whole Blood Genome DNA Isolation Kit (Bioteke, Beijing, China) following the instructions provided by the manufacturer. The purity and concentration of DNA were measured on a NanoDrop2000 spectrophotometer (Thermo Fisher Scientific, USA) and quality of DNA was checked by agarose gel electrophoresis.
Germline DNA were sequenced for the PALB2 gene as part of a multigene custom panel. PALB2 gene fragments were amplified by multiplex PCR. All coding regions and exon–intron boundaries of PALB2 were sequenced by next-generation sequencing (NGS) on the Illumina Novaseq platform (Illumina, CA, USA), conducted by the AITA Biomedical Research Institute (Shanghai, China) and AmoyDx Biomedical Technology Co., Ltd (Xiamen, China). A minimum coverage depth of 300 × , a mean coverage depth of 1000 × , uniformity of 90%, and variant allele frequencies (VAFs) of 20% were set as cutoff values in this study. Additionally, the proportion of Q30 bases was required to be higher than 75%. The sequencing results were aligned to the human reference sequence PALB2 (NM_024675.3) using the Burrows-Wheeler Aligner (BWA) tool. Base quality score recalibration, indel realignment, and variant calling were performed using the Genome Analysis Toolkit (GATK). All the variants were annotated using ANNOVAR (http://www.openbioinformatics.org/annovar/) and validated though Sanger sequencing.
Variants were named according to the of Human Genome Variation Society (HGVS) Nomenclature recommendations (https://hgvs-nomenclature.org/) and classified based on the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines (Richards et al. 2015) and ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/). Additionally, this study included both pathogenic and likely pathogenic variants.
Statistical analysis
The study compared continuous variables between PALB2 pathogenic variant carriers and non-carriers using the Mann–Whitney U test, expressing the differences as median and interquartile range (IQR). The differences in categorical variables were analyzed as frequencies (%) using Fisher’s exact test. P values of < 0.05 were considered to indicate statistical significance. All of the statistical analyses were conducted using the R software version 4.3.0.
Results
Characteristics of patients with early-onset breast cancer
The characteristics of the 1556 participants in this cohort are display in Table 1. The median age of the participants was 36 years (range, 33–38 years). Of these, 225 patients (14.5%) were diagnosed with breast cancer at the age of ≤ 30 years, 100 patients (6.4%) had a family history of breast cancer and/or ovarian cancer in a first- or second-degree relatives, and 50 patients (3.2%) were diagnosed with bilateral breast cancer at enrollment. HER2-positive status was observed in 29.7% of the patients. The majority of the molecular subtypes were HR+/HER2- breast cancer (54.3%), whereas the other three types of breast cancer had similar proportions, ranging from 14.5 to 16.0%. Invasive ductal carcinoma was diagnosed in 1235 patients (83.3%).
PALB2 pathogenic variant identified in this cohort
Eleven PALB2 pathogenic variants were identified in twelve patients, with a mutation rate of 0.77%. All variants were protein-truncation variants and had been previously reported (Table 2, Figure 1). Hotspot mutation regions were located in exon 4 (58.3%, 7/12) and exon 5(33.3%, 4/12). Among these, 50% were frameshift mutations, including c.1056_1057del (twice identified), c.444del, c.620del, c.2317dupA, and c.2167_2168del. The remaining 50% were nonsense mutations, including c.643G > T, c.751C > T, c.1451T > A, c.2257C > T, c.2406_2407del, and c.3476G > A. The PALB2 c.3476G>A mutation resulted in an amino acid change within the WD40 domain, a functional domain of PALB2 in the C-terminus. The PALB2 c.444del, c.620del, c.643G>T and c.751C>T occurred within the PALB2 oligomerization, RAD51- and BRCA1-binding domain, which located in the N-terminus of PALB2 (Figure 1).
Schematic diagram of pathogenic PALB2 variants detected in this cohort of early-onset breast cancer. PALB2 comprises 13 exons and all the pathogenic variants are marked up in the schematic diagram of the PALB2 coding sequence. Structural motifs and functional domains are also indicated. Red: nonsense; black: frameshift
Characteristics of patients with PALB2 pathogenic variants
Among the patients with germline PALB2 pathogenic variants, the median age was 35 years compared to 36 years in the non-carriers (p = 0.496). PALB2 carriers were more frequently observed in cases ≤ 30 years of age compared with non-carriers (25% vs 14.4%, p = 0.398). The prevalence of PALB2 carriers among patients aged ≤ 30 years was approximately double that in patients aged 31–40 years (1.33% vs. 0.68%) (Table 1). Two patients with PALB2 pathogenic variants had positive family histories: one with a history of breast cancer in her mother, and the other with a history of breast cancer in her aunt (Table 3). Patients with PALB2 pathogenic variants were more likely to have a positive family history of breast cancer and/or ovarian cancer than non-carriers (16.7% vs. 6.3%). However, this difference was not statistically significant (p = 0.178). The mutation rate of PALB2 in patients with a positive family history was 2%, which was 3-fold higher than that in patients without a family history (0.69%). None of the PALB2 carriers were diagnosed with bilateral breast cancer.
The PALB2 carriers were predominantly HR-positive (75%, 9/12), and HER2-negative (83.3%, 10/12) breast cancer. Patients with HER2-/HR+ breast cancer exhibited the highest PALB2 pathogenic variant prevalence at 1.08% (9/833), constituting 75.0% (9/12) of all PALB2 carriers. In contrast, HER2-/HR- breast cancer, also known as triple-negative breast cancer (TNBC), exhibited a prevalence of 0.41%, representing 8.3% (1/12) of PALB2 carriers. However, the differences in the distribution of the tumor Immunohistochemical characteristics between PALB2 carriers and non-carriers were not statistically significant (Table 1 and Table 3).
Compared with non-carriers, PALB2 carriers exhibited a slightly higher Ki-67 index (83.3% vs. 74.9%, p = 0.741), larger tumor size (66.7% vs. 53.4%, p = 0.4), and lymph node metastasis (75.0% vs. 50.9%, p = 0.146). Invasive ductal carcinoma was observed in 75% (9/12) of PALB2 carriers compared with 83.3% of the non-carriers. Two carriers (16.7%) were diagnosed with invasive micropapillary carcinoma (IMPC) mix with invasive ductal carcinoma, and one carrier (8.3%) was diagnosed with mucinous carcinoma (Table 1 and Table 3). IMPC exhibited the highest mutation rate (4.26%) in PALB2, whereas the mutation rate in invasive ductal carcinoma was 0.73%. The difference in tumor morphology distribution was close to statistical significance (p = 0.080, Table 1).
Discussion
Given the diverse spectrum of PALB2 variants across ethnicities and regions, it is crucial to investigate the spectrum of PALB2 variants in Chinese patients with early-onset breast cancer. In this study, we identified 12 carriers of PALB2 pathogenic variants in 1556 Chinese patients with BRCA1/2-negative early-onset breast cancer, resulting in a mutation frequency of 0.77%. This represents the largest study to date on the spectrum and characteristics of germline PALB2 pathogenic variants in this population.
Certain recurrent mutations identified as founder mutations significantly affect the prevalence in certain populations. PALB2 c.2257C>T serves as a founder mutation in Greek populations (Vagena et al. 2019), while c.2167_2168del is a founder mutation in Italian and Hispanic populations (Catucci et al. 2016). These two mutations have been reported as recurrent mutations in unselected breast cancer studies in China (c.2257C>T: 6/16501 and 4/7657, respectively; c.2167_2168del: 12/16501 and 2/7657, respectively) (Deng et al. 2019; Zhou et al. 2020), however, we identified these mutations only once in each case. Although the PALB2 c.509_510del and c.172_175del were identified as founder or hotspot mutations in European populations (Rogoża-Janiszewska et al. 2020), and PALB2 c.2968G>T was found to be a hotspot mutation in women with breast cancer from Malaysia and Singapore, none of these were observed in our study (Ng et al. 2022). This highlights the ethnic and regional disparities in the spectrum of PALB2 pathogenic variants.
PALB2 c.1056_1057del was identified in two individuals, while the other variants were identified in a single individual. The mutation frequency of c.1056_1057del was 0.13% (2/1556), which is significantly higher than previous studies in unselected breast cancer in China (1/16501, 1/7657 and 0/2769, respectively) (Deng et al. 2019; Wu et al. 2020; Zhou et al. 2020) and other Asian countries (1/7840 in Malaysia and Singapore, and 0/7051 in Japan) (Momozawa et al. 2018; Ng et al. 2022). While PALB2 c.751C > T was reported as a hotspot mutation in previous Chinese studies (Deng et al. 2019; Wu et al. 2020; Zhou et al. 2020). The frequency of c.751C > T was 0.1–0.33% in the unselected breast cancer cohort and 0.55% in a hereditary high-risk breast cancer cohort (Cao et al. 2009), which was higher than that in our early-onset breast cancer cohort (< 0.1%, 1/1556). Moreover, other hotspot mutations in Chinese unselected breast cancer, including c.1317del and c.3114-1G>A (Wu et al. 2020; Zhou et al. 2020), were not identified in our study. This observation may suggest a difference in the spectrum of PALB2 pathogenic variants between early-onset breast cancer and other breast cancers in China. However, it could also be attributed to the low mutation rate of PALB2 and the limited number of carriers detected in our study.
In our study, the prevalence of pathogenic variants in PALB2 was 0.77%, which was higher than 0.66–0.71% observed in most large-scale cohorts of Chinese unselected breast cancer patients (Zhang et al. 2017; Wu et al. 2020; Fu et al. 2021), but lower than 0.97% reported by Zhou et al. (Zhou et al. 2020). Additionally, our findings indicated a prevalence lower than 0.97–1.1% reported in the early-onset subgroup of Chinese unselected breast cancer cohorts (Deng et al. 2019; Wu et al. 2020), but higher than the rates of 0.53% in a Japanese study (Momozawa et al. 2018) and 0.68% in a multicenter and international study (Breast Cancer Association Consortium et al. 2022) for the younger subgroup (aged ≤ 50 years).
Approximately 6.4% of the individuals in this study exhibited a positive family history. However, a higher percentage of the enrolled patients had a family history of breast cancer and/or ovarian cancer (8.6% and 13.8%, respectively). This was significantly associated with PALB2 pathogenic variants in the two aforementioned Chinese studies (Deng et al. 2019; Wu et al. 2020). This may partially explain the lower mutation rates in our early-onset cohort. We observed that patients with a positive family history exhibited a 3-fold higher probability of being the carriers of PALB2 pathogenic variants than those without a family history (2 vs. 0.69%), although this difference did not reach statistical significance (p = 0.178).
In this study, the frequency of PALB2 pathogenic variants was 1.3% (3/225) among patients aged ≤ 30 years, similar to that of 1%–1.85% in previous studies involving the Chinese (Zhou et al. 2020), Malaysian, and Singaporean populations (Ng et al. 2022). Additionally, we observed an approximately 2-fold occurrence of PALB2 pathogenic variants in breast cancer patients aged ≤ 30 years compared to those aged 31-40 years (1.3% vs 0.68%), however, the difference was not statistically significant (p = 0.398). Zhou JJ et al. reported a significant difference in PALB2 pathogenic variants between patients aged ≤ 30 years and those > 30 years (p = 0.04) in an unselected breast cancer cohort in China (Zhou et al. 2020). The rarity of PALB2 pathogenic variants may restrict the statistical power of our analysis, and larger scale cohorts of early-onset breast cancer require further assessment to determine whether there is a significant association between age at early onset and PALB2 pathogenic variants.
PALB2 pathogenic variants are reported to be significantly associated with TNBC or HR-negative breast cancer in the unselected breast cancer cohorts (Zhou et al. 2020; Breast Cancer Association Consortium et al. 2022). In this study, PALB2 carriers were more often to be detected in patients with HER2-negative breast cancer than non-carriers (83.3% vs. 70.2%), and HR+/HER2- breast cancer was the predominant molecular subtype among PALB2 carriers, accounting for 75%, whereas TNBC accounted for only 8.3%. Moreover, patients with HR+/HER2- breast cancer exhibited the highest frequency of PALB2 pathogenic variants (1.08%) compared to other subtypes, with only 0.41% identified in TNBC. Similar findings were reported in a Chinese hereditary high-risk breast cancer cohort by Ni M et al, with the frequency of PALB2 pathogenic variants being 1.5% in HR+/HER2- breast cancer and 0.3% in TNBC (Ni et al. 2023). However, the frequency of PALB2 pathogenic variants in TNBC was 1.9% in the unselected breast cancer cohort (Zhou et al. 2020). This difference in the prevalence of PALB2 pathogenic variants may be due to the different characteristics of the study populations.
Invasive ductal carcinoma accounted for 75% of all PALB2 carriers in our study. Besides, two of the 12 (16.7%) PALB2 carriers were diagnosed with mixed invasive micropapillary carcinoma, an aggressive type of breast cancer with an unfavorable clinical prognosis (Middleton et al. 1999). The mutation frequency of PALB2 in patients diagnosed with pure or mixed invasive micropapillary carcinoma was 4.26%, which was approximately 6-fold higher than that in patients diagnosed with invasive ductal carcinoma (0.73%). Given the distinct classification of histological subtypes of breast cancer, only a limited number of studies have documented the risk associated with PALB2 mutations in invasive micropapillary carcinoma of the breast (Erkko et al. 2007; Breast Cancer Association Consortium et al. 2022). Further independent studies are needed to investigate the association between PALB2 pathogenic variants and this highly aggressive histological subtype.
The strengths of this study lies in its large sample size of Chinese patients with early-onset breast cancer who were unselected for other predisposing factors, which allows for an objective reflection of the spectrum and clinicopathological characteristics of PALB2 pathogenic variants in this population. However, this study also has some limitations. First, gene sequencing in this study was conducted using NGS without multiplex ligation-dependent probe amplification (MLPA), which may have led to the omission of some large genomic rearrangements (LGRs). Therefore, the prevalence of PALB2 variants might be correspondingly underestimated in this study. Some large-scale studies based on European populations reported that pathogenic LGRs account for 2.4-10.3% of all pathogenic PALB2 variants (Li et al. 2023; Yang et al. 2020) . In contrast, data on Asian populations are limited. A previous Japanese study identified 6 PALB2 carriers among 568 patients with hereditary breast and ovarian cancer syndrome, and none of whom had LGRs (Kaneyasu et al. 2020). This suggests that the occurrence of LGRs in PALB2 among Asian breast cancer patients may be very rare. However, considering the limited sample size of this study, further research with larger sample sizes is warranted to validate this observation. In further study, we would included MLPA testing to obtain a more comprehensive understanding of the PALB2 mutation spectrum in Chinese patients with early-onset breast cancer. Second, the limited number of carriers identified in this study might have diminished the robustness of the statistical analyses, necessitating validation in a larger cohort.
Conclusion
In summary, the prevalence of germline pathogenic PALB2 variants was approximately 0.77% in Chinese patients with BRCA1/2-negative early-onset breast cancer patients, irrespective of family history. Except for PALB2 c.1056_1057del (detected twice), all other variants were detected once. Our findings may contribute to the genetic testing strategies for early-onset breast cancer patients in China.
Data availability
All data and material relevant to the study are available from the corresponding author on reasonable request.
References
Antoniou AC, Casadei S, Heikkinen T et al (2014) Breast-cancer risk in families with mutations in PALB2. N Engl J Med 371:497–506. https://doi.org/10.1056/NEJMoa1400382
Breast Cancer Association Consortium, Dorling L, Carvalho S et al (2021) Breast cancer risk genes - association analysis in more than 113,000 women. N Engl J Med 384:428–439. https://doi.org/10.1056/NEJMoa1913948
Breast Cancer Association Consortium, Mavaddat N, Dorling L et al (2022) Pathology of tumors associated with pathogenic germline variants in 9 breast cancer susceptibility genes. JAMA Oncol 8:e216744. https://doi.org/10.1001/jamaoncol.2021.6744
Buisson R, Dion-Côté A-M, Coulombe Y et al (2010) Cooperation of breast cancer proteins PALB2 and piccolo BRCA2 in stimulating homologous recombination. Nat Struct Mol Biol 17:1247–1254. https://doi.org/10.1038/nsmb.1915
Butz H, Nagy P, Papp J et al (2023) PALB2 variants extend the mutational profile of hungarian patients with breast and ovarian cancer. Cancers 15:4350. https://doi.org/10.3390/cancers15174350
Cao A-Y, Huang J, Hu Z et al (2009) The prevalence of PALB2 germline mutations in BRCA1/BRCA2 negative Chinese women with early onset breast cancer or affected relatives. Breast Cancer Res Treat 114:457–462. https://doi.org/10.1007/s10549-008-0036-z
Catucci I, Casadei S, Ding YC et al (2016) Haplotype analyses of the c.1027C>T and c.2167_2168delAT recurrent truncating mutations in the breast cancer-predisposing gene PALB2. Breast Cancer Res Treat 160:121–129. https://doi.org/10.1007/s10549-016-3981-y
Couch FJ, Hart SN, Sharma P et al (2015) Inherited mutations in 17 breast cancer susceptibility genes among a large triple-negative breast cancer cohort unselected for family history of breast cancer. J Clin Oncol 33:304–311. https://doi.org/10.1200/JCO.2014.57.1414
Couch FJ, Shimelis H, Hu C et al (2017) Associations between cancer predisposition testing panel genes and breast cancer. JAMA Oncol 3:1190–1196. https://doi.org/10.1001/jamaoncol.2017.0424
Deng M, Chen H-H, Zhu X et al (2019) Prevalence and clinical outcomes of germline mutations in BRCA1/2 and PALB2 genes in 2769 unselected breast cancer patients in China. Int J Cancer 145:1517–1528. https://doi.org/10.1002/ijc.32184
Easton DF, Pharoah PDP, Antoniou AC et al (2015) Gene-panel sequencing and the prediction of breast-cancer risk. N Engl J Med 372:2243–2257. https://doi.org/10.1056/NEJMsr1501341
Erkko H, Xia B, Nikkilä J et al (2007) A recurrent mutation in PALB2 in Finnish cancer families. Nature 446:316–319. https://doi.org/10.1038/nature05609
Fu F, Zhang D, Hu L et al (2021) Association between 15 known or potential breast cancer susceptibility genes and breast cancer risks in Chinese women. Cancer Biol Med 19:253–262. https://doi.org/10.20892/j.issn.2095-3941.2021.0358
Guo R, Si J, Xue J et al (2019) Changing patterns and survival improvements of young breast cancer in China and SEER database, 1999–2017. Chin J Cancer Res 31:653–662. https://doi.org/10.21147/j.issn.1000-9604.2019.04.09
Kaneyasu T, Mori S, Yamauchi H et al (2020) Prevalence of disease-causing genes in Japanese patients with BRCA1/2-wildtype hereditary breast and ovarian cancer syndrome. NPJ Breast Cancer 6:25. https://doi.org/10.1038/s41523-020-0163-1
Kluska A, Balabas A, Piatkowska M et al (2017) PALB2 mutations in BRCA1/2-mutation negative breast and ovarian cancer patients from Poland. BMC Med Genom 10:14. https://doi.org/10.1186/s12920-017-0251-8
Kwong A, Shin VY, Ho CYS et al (2021) Germline PALB2 mutation in high-risk chinese breast and/or ovarian cancer patients. Cancers 13:4195. https://doi.org/10.3390/cancers13164195
Li YT, Jiang WH, Wang XW et al (2015) PALB2 mutations in breast cancer patients from a multi-ethnic region in northwest China. Eur J Med Res 20:85. https://doi.org/10.1186/s40001-015-0182-9
Li N, Zethoven M, McInerny S et al (2023) Contribution of large genomic rearrangements in PALB2 to familial breast cancer: implications for genetic testing. J Med Genet 60:112–118. https://doi.org/10.1136/jmedgenet-2021-108399
Middleton LP, Tressera F, Sobel ME et al (1999) Infiltrating micropapillary carcinoma of the breast. Mod Pathol off J U S Can Acad Pathol Inc 12:499–504
Momozawa Y, Iwasaki Y, Parsons MT et al (2018) Germline pathogenic variants of 11 breast cancer genes in 7,051 Japanese patients and 11,241 controls. Nat Commun 9:4083. https://doi.org/10.1038/s41467-018-06581-8
Ng PS, Boonen RA, Wijaya E et al (2022) Characterisation of protein-truncating and missense variants in PALB2 in 15768 women from Malaysia and Singapore. J Med Genet 59:481–491. https://doi.org/10.1136/jmedgenet-2020-107471
Ni M, Wang F, Yang A et al (2023) What is the appropriate genetic testing criteria for breast cancer in the Chinese population?-analysis of genetic and clinical features from a single cancer center database. Cancer Med 12:13019–13030. https://doi.org/10.1002/cam4.5976
Richards S, Aziz N, Bale S et al (2015) Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med off J Am Coll Med Genet 17:405–424. https://doi.org/10.1038/gim.2015.30
Rogoża-Janiszewska E, Malińska K, Cybulski C et al (2020) Prevalence of recurrent mutations predisposing to breast cancer in early-onset breast cancer patients from Poland. Cancers 12:2321. https://doi.org/10.3390/cancers12082321
Southey MC, Teo ZL, Dowty JG et al (2010) A PALB2 mutation associated with high risk of breast cancer. Breast Cancer Res BCR 12:R109. https://doi.org/10.1186/bcr2796
Sy SMH, Huen MSY, Chen J (2009) PALB2 is an integral component of the BRCA complex required for homologous recombination repair. Proc Natl Acad Sci U S A 106:7155–7160. https://doi.org/10.1073/pnas.0811159106
Thompson ER, Gorringe KL, Rowley SM et al (2015) Prevalence of PALB2 mutations in Australian familial breast cancer cases and controls. Breast Cancer Res BCR 17:111. https://doi.org/10.1186/s13058-015-0627-7
Vagena A, Papamentzelopoulou M, Kalfakakou D et al (2019) PALB2 c.2257C>T truncating variant is a Greek founder and is associated with high breast cancer risk. J Hum Genet 64:767–773. https://doi.org/10.1038/s10038-019-0612-6
Weitzel JN, Neuhausen SL, Adamson A et al (2019) Pathogenic and likely pathogenic variants in PALB2, CHEK2, and other known breast cancer susceptibility genes among 1054 BRCA-negative Hispanics with breast cancer. Cancer 125:2829–2836. https://doi.org/10.1002/cncr.32083
Wu Y, Ouyang T, Li J et al (2020) Spectrum and clinical relevance of PALB2 germline mutations in 7657 Chinese BRCA1/2-negative breast cancer patients. Breast Cancer Res Treat 179:605–614. https://doi.org/10.1007/s10549-019-05483-7
Xia B, Sheng Q, Nakanishi K et al (2006) Control of BRCA2 cellular and clinical functions by a nuclear partner, PALB2. Mol Cell 22:719–729. https://doi.org/10.1016/j.molcel.2006.05.022
Yang XR, Devi BCR, Sung H et al (2017) Prevalence and spectrum of germline rare variants in BRCA1/2 and PALB2 among breast cancer cases in Sarawak, Malaysia. Breast Cancer Res Treat 165:687–697. https://doi.org/10.1007/s10549-017-4356-8
Yang X, Leslie G, Doroszuk A et al (2020) Cancer risks associated with germline PALB2 pathogenic variants: an International Study of 524 Families. J Clin Oncol 38:674–685. https://doi.org/10.1200/JCO.19.01907
Yin M, Wang F, Zhang Y et al (2023) Analysis on incidence and mortality trends and age–period–cohort of breast cancer in chinese women from 1990 to 2019. Int J Environ Res Public Health 20:826. https://doi.org/10.3390/ijerph20010826
Zhang F, Ma J, Wu J et al (2009) PALB2 links BRCA1 and BRCA2 in the DNA-damage response. Curr Biol CB 19:524–529. https://doi.org/10.1016/j.cub.2009.02.018
Zhang K, Zhou J, Zhu X et al (2017) Germline mutations of PALB2 gene in a sequential series of Chinese patients with breast cancer. Breast Cancer Res Treat 166:865–873. https://doi.org/10.1007/s10549-017-4425-z
Zhou J, Wang H, Fu F et al (2020) Spectrum of PALB2 germline mutations and characteristics of PALB2 -related breast cancer: Screening of 16,501 unselected patients with breast cancer and 5890 controls by next-generation sequencing. Cancer 126:3202–3208. https://doi.org/10.1002/cncr.32905
Acknowledgements
We thank all the patients for their participation in this study. This work was supported by the Natural Science Foundation of Fujian Province (2020J01995).
Funding
This work was supported by the Natural Science Foundation of Fujian Province (2020J01995).
Author information
Authors and Affiliations
Contributions
Jing Li, Lili Chen, Fangmeng Fu and Chuan Wang contributed to the study conception and design. Lili Chen secured funding for the research. Lili Chen, Minyan Chen, Wenhui Guo and Yuxiang Lin recruited the patients. Jing Li, Peng He, Qindong Cai, Yali Wang, Weifeng Cai, Yibin Qiu and Shunyi Liu collected the blood samples and clinicopathological data of patients. Qindong Cai conducted the statistical analysis. Jing Li and Peng He drafted the first manuscript and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors have no relevant financial or non-financial interests to disclose.
Ethical approval
This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of Fujian Medical University Union Hospital (Approval Number: 2020KJT031).
Consent to participate
Informed consent was obtained from all individual participants included in the study.
Consent to publish
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Li, J., He, P., Cai, Q. et al. Spectrum and characteristics of germline PALB2 pathogenic variants in 1556 early-onset breast cancer patients in China. J Cancer Res Clin Oncol 150, 322 (2024). https://doi.org/10.1007/s00432-024-05758-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00432-024-05758-7