Abstract
Background
PPM1D (Protein phosphatase magnesium-dependent 1δ) is known as a damage response regulator, a part of the p53 negative feedback loop. Truncating mutations of PPM1D, resulting in overexpression, are frequently found in the blood of patients with breast or ovarian cancer. To identify whether the PPM1D mutation predisposes patients to such cancers or if it results from the cancer and therapy, somatic PPM1D mutations in association with previous cancer and chemotherapy need to be explored.
Methods
We performed next-generation sequencing (NGS) analysis of blood samples from patients suspected to have hereditary cancer. We grouped the patients according to their diagnoses and history of chemotherapy. For the patients with PPM1D mutations in blood, tumor tissue specimens were examined for the PPM1D mutation using conventional sequencing.
Results
A total of 1,195 patients, including 719 patients with breast cancer and 240 with ovarian cancer, were tested, and four (~0.3%) had the truncating mutation in PPM1D. All truncating mutations were in exon 6, in mosaic form, with a mean allele fraction of 11.15%. While 395 out of the 1,195 patients had undergone chemotherapy, the four with the truncating mutation had a history of cisplatin-based chemotherapy. No corresponding mutations were identified in the tumor tissues.
Conclusions
We investigated the frequency of the somatic mosaic PPM1D mutation, in patients with breast or ovarian cancer, which is suggested to be low and related to a history of cisplatin-based chemotherapy. It may be a marker of previous exposure to selective pressure for cells with an impaired DNA damage response.
Introduction
Protein phosphatase magnesium-dependent 1δ (PPM1D) encodes the Wip1 phosphatase and is known as a regulator of the DNA damage response pathway. Wip1 dephosphorylates the tumor suppressor p53, CHK1, CHK2 and other key components of the pathway as part of a negative feedback regulatory loop [1,2]. Induced by p53 initiating cell cycle arrest or apoptosis upon cellular stress, Wip1 downregulates p53 level and drives the cell back to its normal state [2].
Gain-of-function mutations of PPM1D have been reported in a wide variety of cancers, including breast cancer and ovarian cancer [3–10]. Over suppression of p53 releases the cell from arrest to proceed the cell cycle, resulting in carcinogenesis [11]. Although copy number gain and increased expression level of PPM1D have been reported, [4,7,10], it has also been reported that truncating mutations in exon 6 of PPM1D lead to its overexpression, escaping from the control of degradation signaling [3,11]. In recent studies, these truncating mutations of PPM1D in mosaic form were found in the blood with higher frequency among patients with ovarian cancer or breast cancer than in the control group [5,12], suggesting a causal relationship between the mutations and the cancers. In contrast, it has also been reported that PPM1D mosaic truncating mutations in the blood have been associated with chemotherapy rather than predisposition to the cancers [9,13].
To support this idea, the association of somatic PPM1D mutations with previous cancer and chemotherapy needs to be explored. In this study, we investigated the prevalence and characteristics of the truncating PPM1D mutation among patients with cancer by using NGS hereditary cancer panel testing. We analyzed the somatic truncating PPM1D mutation status in the context of previous chemotherapy.
Methods
Patients and samples
A total of 1,195 peripheral blood samples of patients suspected to have had hereditary cancer according to National Comprehensive Cancer Network guideline (https://www.nccn.org/professionals/physician_gls/pdf/genetics_screening.pdf, registration required) in Severance Hospital between July 2016 and July 2018 were subjected to NGS gene panel testing for hereditary cancer. For those patients, investigation of truncating mutations of PPM1D was performed. For the three cases with identified PPM1D truncating mutations, corresponding formalin-fixed paraffin-embedded primary cancer specimens were subjected to mutational analysis. Written form of informed consent was obtained for all patients. The current study was approved by Severance Hospital Institutional Review Board (4-2019-0021).
DNA extraction and sequencing
Genomic DNA was extracted from peripheral blood using the QIAamp DNA Blood Mini Kit (Qiagen, Venlo, The Netherlands). Approximately 500 ng of genomic DNA was fragmented into segments between 150 and 250 bp long, using the Bioruptor Pico Sonication System (Diagenode, Liège, Belgium), which were then end repaired and ligated to Illumina adapters (Illumina, San Diego, CA, USA) and indices. Sequencing libraries were then hybridized with the capture probes (Celemics, Seoul, Korea). All procedures were performed per the manufacturer’s instructions. Enriched DNA was then amplified, and clusters were generated and sequenced on a NextSeq 550 instrument (Illumina) with 2×151 bp reads. NGS tests were performed using a custom gene panel consisting of 65 genes related to hereditary cancer (S1 Table). For genomic DNA extraction of tumor samples, Maxwell RSC DNA FFPE Kits (Promega, Madison, WI, USA) were used and Sanger sequencing of the specimen was performed.
Data analysis and interpretation
Reads were aligned using the Burrows-Wheeler Alignment tool (0.7.12) on human genomic reference sequences (GRCh37) [14]. To identify single nucleotide sequence variations, the HaplotypeCaller in the Genome Analysis Toolkit package (3.8–0) was used [15]. All mutations were annotated using ANNOVAR and VEP (87) software [16,17]. Detected variants were further examined by visual verification using the Integrative Genomics Viewer [18]. The pathogenicity of variants was classified according to the American College of Medical Genetics and Genomics (ACMG) criteria [19].
Results
Sequencing data and patients
A total of 1,195 patients were enrolled. Among them, 725 patients had breast cancer (60.7%) and 246 had ovarian cancer (20.6%), as summarized in Table 1. Three hundred and ninety five patients out of 1,195 (33.1%) had received chemotherapy before genetic testing. The median depth of coverage of the gene panel was 691× with a maximum depth of 7,976×. The median depth of the PPM1D gene was 990x, ranging from 650x to 2,277x.
Table 1. Cancer types of people who have undergone NGS gene panel testing for hereditary cancer.
Type of cancer | n (%) |
---|---|
Breast | 719 (60.2) |
Ovarian | 240 (20.1) |
Breast and ovarian | 6 (0.5) |
Colorectal | 134 (11.2) |
Endometrial | 15 (1.3) |
Retinoblastoma | 13 (1.1) |
Pancreatic | 12 (1.0) |
Gastric | 11 (0.9) |
other | 45 (3.8) |
total | 1195 |
Breast and/or ovarian cancer were the most common (80.6%)
Truncating PPM1D mutations
Truncating mutations in PPM1D were detected in four patients (~0.3% of total cases), one (1/725, 0.14%) with breast cancer and three (3/246, 1.22%) with ovarian cancer (Table 2). All truncating mutations were in mosaic form on the cluster region within a 370-base-pair region in exon 6, the final exon of the gene [5]. The mean variant allele fraction (VAF) was 11.15%, ranging from 5.4% to 15.4%. Meanwhile, 15 missense variants of PPM1D were identified in each fifteen patient except the four harboring the truncating mutations in PPM1D. They were located in exon 1, 2, 5, and 6 and variant allele frequencies were approximately 0.5 (S2 Table). They were all variants with uncertain clinical significance according to the ACMG guideline.
Table 2. Characteristics of PPM1D truncating mutation carriers.
ID | Sex | Diagnosis | Age at diagnosis, y | Family history | DNA change | Affected protein | VAF | Median depth | Concurrent mutation (allele fraction) | PPM1D mutation in tissue sample | Chemotherapy regimen | The period since the use of chemotherapy |
---|---|---|---|---|---|---|---|---|---|---|---|---|
P1 | M | Breast cancer, left / Lung cancer | 82/66 | Sibling, colon cancer | c.1423G>T | p.Glu475Ter | 0.154 | 1380 | None | Not detected | Cisplatin and etoposide | 20 years |
P2 | F | Ovarian cancer | 59 | none | c.1434C>A | p.Cys478Ter | 0.167 | 723 | BRCA1 (0.48) | Not detected | Carboplatin and paclitaxel | 8 months |
P3 | F | Ovarian cancer | 52 | none | c.1619delA | p.Glu540GlyfsTer7 | 0.054 | 903 | None | Not tested | Carboplatin, doxorubicin, cisplatin and belotecan | 32 months |
P4 | F | Ovarian cancer | 61 | none | c.1396_1397delATinsTA | p.Ile466Ter | 0.071 | 858 | None | Not detected | carboplatin and paclitaxel | 10 months |
VAF, Variant allele frequency
The mean age at diagnosis of the PPM1D truncating mutation carriers was 63.5 years (range, 52–82 years), and they did not have family history of breast or ovarian cancer. One case (P2) had a concurrent truncating mutation in BRCA1 (c.2345T>A, p.Leu785Ter), which is classified as a pathogenic variant according to the ACMG guideline, in addition to the truncating PPM1D mutation. The cancer type was invasive ductal carcinoma in a case with breast cancer and serous carcinoma in all cases with ovarian cancer (Table 2).
All four patients with a PPM1D mutation had a history of chemotherapy (odds ratio, 18.4; 95% confidence interval, 0.990–342.67; p = 0.051). Chemotherapy regimens included cisplatin or carboplatin for all four patients. The time interval between chemotherapy and the NGS test ranged from 10 months to 20 years.
PPM1D mutation status in cancer specimen
We obtained the peripheral blood and tumor tissues of three mutation-positive cases (P1, P2 and P4) except for P3 whose specimen was not available. and performed conventional PCR and sequencing. All the low level PPM1D mutations in blood samples were identified by conventional sequencing, but no corresponding mutations in the tumor tissues were observed, as suggested in the previous reports [5,12] (S1 Fig).
Discussion
PPM1D is known as a DNA damage response regulator, which is a part of the p53 regulatory feedback loop. PPM1D is induced by activated p53, and it dephosphorylates and inactivates p53 as well as other target proteins involved in DNA repair [20,21]. It negatively regulates the p53-mediated apoptosis and returns the cell to its original state [22].
Increased expression of PPM1D and p53 over suppression have been reported in various cancer tissues [4,7,10]. Notably, PPM1D truncating mutations are invariably found in exon 6 and are known to enhance its function [3,11]. This results in mRNA without the last exon, which is responsible for the degradation signal, making the molecule more stable. This leads to a gain of function effect by more strongly dephosphorylating its targets compared to the wild type dose [11,23]. Because PPM1D also dephosphorylates and inactivates other proteins working in the DNA damage repair system, the truncating mutations of PPM1D are assumed to have a role in carcinogenesis in various types of cancers.
Somatic mosaic mutations of PPM1D in the blood have been more frequently found in patients with various cancers including breast and ovarian cancers compared to control groups, raising concern that it has a possible role in cancer predisposition [5,9,12]. It is assumed that the cancer driver mutation is enriched in tumor tissue compared to other tissues such as blood; however, no corresponding mutations have been identified in tumor tissues in most cases [5,12].
In 2016, Pharoah et al. and Swisher et al. suggested that somatic mosaic mutations in PPM1D in the blood resulted from previous chemotherapy [13,24]. Platinum-based chemotherapy such as cisplatin is the basis of the chemotherapy regimen for ovarian and breast cancers. Cisplatin, in particular, is known to cross-link with DNA and cause DNA sequence changes at a high frequency [25]. The fact that most of the somatic mosaic mutations in PPM1D were observed in the blood of patients with ovarian and breast cancer supports the association of these mutations with platinum-based chemotherapy [13,24,26].
Our NGS hereditary cancer panel analysis with blood revealed somatic mosaic mutations of PPM1D in four out of 965 patients with breast and/or ovarian cancer (0.41%). The frequency was similar to that reported previously (0.32% in breast and/or ovarian cancer), and the mutations were also within the reported clustering region of exon 6, with no particular hotspots [5]. However, the percentage of individuals harboring the mutation among patients with lymphoid malignancy and prior chemotherapy was reported as high as 20% using more sensitive method, error-corrected sequencing [27]. Along with previous reports, the mutations present in low fractions in blood were not enriched or identified in the tumor tissues examined. Moreover, a patient had a concurrent pathogenic BRCA1 mutation, which predisposes more strongly to the condition. These results could be supportive of mosaic PPM1D mutations resulting from treatment rather than causing a predisposition to breast or ovarian cancer. There were 395 patients who underwent previous chemotherapy, and all four patients with the PPM1D mutation received cisplatin-based chemotherapy (p = 0.051). Those four patients had undergone chemotherapy from 10 months to 20 years ago. Concluding that the PPM1D mutation predisposed patients to breast or ovarian cancer requires more evidence. In this context, somatic PPM1D mutations could be a result of expansion of a PPM1D-mutated clone under selective pressure by cisplatin chemotherapy, rather than a risk factor or cause of the respective cancers.
Indeed, somatic mosaic mutations of PPM1D have been reported in populations with clonal hematopoiesis of indeterminate potential (CHIP) [28,29]. In our study, the median age of the patients with PPM1D truncating variants was 60 (range, 52–82), which was a little higher than the age of patients with familial breast and ovarian cancer. Rather, clonal mosaic hematopoiesis could be common in this age group. PPM1D mutations are far from being common in the general population and their frequency is increasing in association with prior chemotherapy [28–30]. It was the most common mutation associated with CHIP in patients with cisplatin-based myeloablative therapy or therapy-related myeloid neoplasm (TMN) [26,30]. This is because the pre-existing or therapy-induced PPM1D mutated clones have survival advantages in the context of cisplatin therapy, resisting apoptosis and thus chemotherapy [26,31]. Considering the recent studies stating the association between the clonal PPM1D mutations in blood and TMN, the mutations could be associated with an increased risk for certain subtypes of hematologic malignancy [26,30]. According to the recent study, patients with CHIP showed a higher incidence of TMN and shorter overall survival among patients with myeloablative therapy [30]. Among them, patients bearing PPM1D as CHIP showed significantly poorer outcomes [30]. For better precision in treatment, the increased risk of such hematologic malignancy should be taken into account in long-term follow up.
Conclusions
In conclusion, we investigated somatic mosaic PPM1D mutations in patients with various cancers, including breast and ovarian cancers and found that all four patients bearing the truncating mutations had a history of cisplatin-based chemotherapy. This suggests that these mutations may be due to the increase of a mutant clone under selective pressure by cytotoxic therapy.
Supporting information
Data Availability
All relevant data are within the manuscript and its Supporting Information files.
Funding Statement
This work was supported by the National Research Foundation of Korea, grant 2016R1D1A1B01010566 to STL and grant 2018R1C1B6005185 to BK. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Oliva-Trastoy M, Berthonaud V, Chevalier A, Ducrot C, Marsolier-Kergoat MC, Mann C, et al. The Wip1 phosphatase (PPM1D) antagonizes activation of the Chk2 tumour suppressor kinase. Oncogene. 2007;26: 1449–1458. 10.1038/sj.onc.1209927 [DOI] [PubMed] [Google Scholar]
- 2.Lu X, Ma O, Nguyen TA, Jones SN, Oren M, Donehower LA. The Wip1 Phosphatase acts as a gatekeeper in the p53-Mdm2 autoregulatory loop. Cancer Cell. 2007;12: 342–354. 10.1016/j.ccr.2007.08.033 [DOI] [PubMed] [Google Scholar]
- 3.Zhang L, Chen LH, Wan H, Yang R, Wang Z, Feng J, et al. Exome sequencing identifies somatic gain-of-function PPM1D mutations in brainstem gliomas. Nat Genet. 2014;46: 726–730. 10.1038/ng.2995 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Castellino RC, De Bortoli M, Lu X, Moon SH, Nguyen TA, Shepard MA, et al. Medulloblastomas overexpress the p53-inactivating oncogene WIP1/PPM1D. J Neurooncol. 2008;86: 245–256. 10.1007/s11060-007-9470-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ruark E, Snape K, Humburg P, Loveday C, Bajrami I, Brough R, et al. Mosaic PPM1D mutations are associated with predisposition to breast and ovarian cancer. Nature. 2013;493: 406–410. 10.1038/nature11725 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Liu S, Qi L, Han W, Wan X, Jiang S, Li Y, et al. Overexpression of wip1 is associated with biologic behavior in human clear cell renal cell carcinoma. PLoS One. 2014;9: e110218 10.1371/journal.pone.0110218 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lambros MB, Natrajan R, Geyer FC, Lopez-Garcia MA, Dedes KJ, Savage K, et al. PPM1D gene amplification and overexpression in breast cancer: a qRT-PCR and chromogenic in situ hybridization study. Mod Pathol. 2010;23: 1334–1345. 10.1038/modpathol.2010.121 [DOI] [PubMed] [Google Scholar]
- 8.Peng TS, He YH, Nie T, Hu XD, Lu HY, Yi J, et al. PPM1D is a prognostic marker and therapeutic target in colorectal cancer. Exp Ther Med. 2014;8: 430–434. 10.3892/etm.2014.1762 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zajkowicz A, Butkiewicz D, Drosik A, Giglok M, Suwinski R, Rusin M. Truncating mutations of PPM1D are found in blood DNA samples of lung cancer patients. Br J Cancer. 2015;112: 1114–1120. 10.1038/bjc.2015.79 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Richter M, Dayaram T, Gilmartin AG, Ganji G, Pemmasani SK, Van Der Key H, et al. WIP1 phosphatase as a potential therapeutic target in neuroblastoma. PLoS One. 2015;10: e0115635 10.1371/journal.pone.0115635 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kleiblova P, Shaltiel IA, Benada J, Sevcik J, Pechackova S, Pohlreich P, et al. Gain-of-function mutations of PPM1D/Wip1 impair the p53-dependent G1 checkpoint. J Cell Biol. 2013;201: 511–521. 10.1083/jcb.201210031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Akbari MR, Lepage P, Rosen B, McLaughlin J, Risch H, Minden M, et al. PPM1D mutations in circulating white blood cells and the risk for ovarian cancer. J Natl Cancer Inst. 2014;106: djt323. 10.1093/jnci/djt323 [DOI] [PubMed] [Google Scholar]
- 13.Pharoah PDP, Song H, Dicks E, Intermaggio MP, Harrington P, Baynes C, et al. PPM1D Mosaic Truncating Variants in Ovarian Cancer Cases May Be Treatment-Related Somatic Mutations. J Natl Cancer Inst. 2016;108 10.1093/jnci/djv347 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Li H. Toward better understanding of artifacts in variant calling from high-coverage samples. Bioinformatics. 2014;30: 2843–2851. 10.1093/bioinformatics/btu356 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.DePristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C, et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet. 2011;43: 491–498. 10.1038/ng.806 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38: e164 10.1093/nar/gkq603 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.McLaren W, Pritchard B, Rios D, Chen Y, Flicek P, Cunningham F. Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor. Bioinformatics. 2010;26: 2069–2070. 10.1093/bioinformatics/btq330 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Robinson JT, Thorvaldsdottir H, Winckler W, Guttman M, Lander ES, Getz G, et al. Integrative genomics viewer. Nat Biotechnol. 2011;29: 24–26. 10.1038/nbt.1754 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. 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. 2015;17: 405–424. 10.1038/gim.2015.30 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lu X, Nguyen TA, Moon SH, Darlington Y, Sommer M, Donehower LA. The type 2C phosphatase Wip1: an oncogenic regulator of tumor suppressor and DNA damage response pathways. Cancer Metastasis Rev. 2008;27: 123–135. 10.1007/s10555-008-9127-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Dudgeon C, Shreeram S, Tanoue K, Mazur SJ, Sayadi A, Robinson RC, et al. Genetic variants and mutations of PPM1D control the response to DNA damage. Cell Cycle. 2013;12: 2656–2664. 10.4161/cc.25694 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Takekawa M, Adachi M, Nakahata A, Nakayama I, Itoh F, Tsukuda H, et al. p53-inducible wip1 phosphatase mediates a negative feedback regulation of p38 MAPK-p53 signaling in response to UV radiation. Embo j. 2000;19: 6517–6526. 10.1093/emboj/19.23.6517 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Macurek L, Benada J, Mullers E, Halim VA, Krejcikova K, Burdova K, et al. Downregulation of Wip1 phosphatase modulates the cellular threshold of DNA damage signaling in mitosis. Cell Cycle. 2013;12: 251–262. 10.4161/cc.23057 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Swisher EM, Harrell MI, Norquist BM, Walsh T, Brady M, Lee M, et al. Somatic Mosaic Mutations in PPM1D and TP53 in the Blood of Women With Ovarian Carcinoma. JAMA Oncol. 2016;2: 370–372. 10.1001/jamaoncol.2015.6053 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Dasari S, Tchounwou PB. Cisplatin in cancer therapy: molecular mechanisms of action. Eur J Pharmacol. 2014;740: 364–378. 10.1016/j.ejphar.2014.07.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Hsu JI, Dayaram T, Tovy A, De Braekeleer E, Jeong M, Wang F, et al. PPM1D Mutations Drive Clonal Hematopoiesis in Response to Cytotoxic Chemotherapy. Cell Stem Cell. 2018;23: 700–713 e706. 10.1016/j.stem.2018.10.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Wong TN, Miller CA, Jotte MRM, Bagegni N, Baty JD, Schmidt AP, et al. Cellular stressors contribute to the expansion of hematopoietic clones of varying leukemic potential. Nat Commun. 2018;9: 455 10.1038/s41467-018-02858-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Genovese G, Kahler AK, Handsaker RE, Lindberg J, Rose SA, Bakhoum SF, et al. Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence. N Engl J Med. 2014;371: 2477–2487. 10.1056/NEJMoa1409405 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Xie M, Lu C, Wang J, McLellan MD, Johnson KJ, Wendl MC, et al. Age-related mutations associated with clonal hematopoietic expansion and malignancies. Nat Med. 2014;20: 1472–1478. 10.1038/nm.3733 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Gibson CJ, Lindsley RC, Tchekmedyian V, Mar BG, Shi J, Jaiswal S, et al. Clonal Hematopoiesis Associated With Adverse Outcomes After Autologous Stem-Cell Transplantation for Lymphoma. J Clin Oncol. 2017;35: 1598–1605. 10.1200/JCO.2016.71.6712 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Kahn JD, Miller PG, Silver AJ, Sellar RS, Bhatt S, Gibson C, et al. PPM1D truncating mutations confer resistance to chemotherapy and sensitivity to PPM1D inhibition in hematopoietic cells. Blood. 2018: blood-2018-2005-850339. 10.1182/blood-2018-05-850339 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data are within the manuscript and its Supporting Information files.