Purpose Little is known about how the brain regulates extracerebral tumors. There is a significant difference in the incidence of hematologic maligancies between Han Chinese and European/American populations, with the most pronounced difference being more than 8–10 fold for multiple myeloma (MM) and chronic lymphocytic leukemia (CLL). Here, we aimed to investigate the genetic predisposition specific to each hematologic malignancy and to determine whether variations in cortical architecture contribute to population-level differences in their incidence.
Methods In this study, we investigated causal relationships between cortical structural characteristics and eight hematologic malignancies using Mendelian randomization analyses based on data from the ENIGMA3, CHIMGEN, and FinnGen cohorts.
Results MM showed a positive association with the surface area of the pars triangularis, whereas CLL was positively associated with the cortical thickness of the rostral anterior cingulate and rostral middle frontal regions. In addition, European/American populations exhibited a larger pars triangularis surface area and greater thickness of the rostral anterior cingulate and rostral middle frontal compared with Han Chinese populations. Findings from pathway analysis and transcriptome-wide association study provided additional evidence supporting these causal associations.
Conclusions This study provides the first evidence examining the impact of cortical structural features on specific extracerebral cancer types. The findings further suggest that variations in cortical architecture may contribute to ancestry-related differences in the incidence of certain hematologic malignancies.
| [1] |
Winkler Fet al. . Cancer neuroscience: state of the field, emerging directions. Cell. 2023, 186: 1689-1707.
|
| [2] |
Swanton Cet al. . Embracing cancer complexity: hallmarks of systemic disease. Cell. 2024, 187: 1589-1616.
|
| [3] |
Pan C, Winkler F. Insights and opportunities at the crossroads of cancer and neuroscience. Nat Cell Biol. 2022, 24: 1454-1460.
|
| [4] |
Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024, 74: 12-49.
|
| [5] |
Huang Jet al. . The epidemiological landscape of multiple myeloma: a global cancer registry estimate of disease burden, risk factors, and temporal trends. Lancet Haematol. 2022, 9: e670-e677.
|
| [6] |
Liu Jet al. . Incidence and mortality of multiple myeloma in China, 2006-2016: an analysis of the Global Burden of Disease Study 2016. J Hematol Oncol. 2019, 12: 136.
|
| [7] |
Gale RP. Chronic lymphocytic leukemia in China. Chin Med J (Engl). 2022, 135883-886.
|
| [8] |
Yang Set al. . Ethnic and geographic diversity of chronic lymphocytic leukaemia. Leukemia. 2021, 35: 433-439.
|
| [9] |
Chen Wet al. . Cancer statistics in China, 2015. CA Cancer J Clin. 2016, 66: 115-132.
|
| [10] |
Wu Cet al. . Analysis of status and countermeasures of cancer incidence and mortality in China. Sci China Life Sci. 2019, 62: 640-647.
|
| [11] |
He Set al. . Cancer profiles in China and comparisons with the USA: a comprehensive analysis in the incidence, mortality, survival, staging, and attribution to risk factors. Sci China Life Sci. 2024, 67: 122-131.
|
| [12] |
Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, et al. The genetic architecture of the human cerebral cortex. Science. 2020;367:eaay6690. https://doi.org/10.1126/science.aay6690.
|
| [13] |
Thompson PMet al. . The ENIGMA consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging Behav. 2014, 8: 153-182.
|
| [14] |
Sudlow Cet al. . UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015, 12: e1001779.
|
| [15] |
Psaty BMet al. . Cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium: design of prospective meta-analyses of genome-wide association studies from 5 cohorts. Circ Cardiovasc Genet. 2009, 273-80.
|
| [16] |
Kurki MIet al. . FinnGen provides genetic insights from a well-phenotyped isolated population. Nature. 2023, 613: 508-518.
|
| [17] |
Xu Qet al. . CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research. Mol Psychiatry. 2020, 25: 517-529.
|
| [18] |
Liu Net al. . Cross-ancestry genome-wide association meta-analyses of hippocampal and subfield volumes. Nat Genet. 2023, 55: 1126-1137.
|
| [19] |
Burgess Set al. . Guidelines for performing Mendelian randomization investigations: update for summer 2023. Wellcome Open Res. 2019, 4: 186.
|
| [20] |
Wang MH, Cordell HJ, Van Steen K. Statistical methods for genome-wide association studies. Semin Cancer Biol. 2019, 5553-60.
|
| [21] |
de Leeuw CA, Mooij JM, Heskes T, Posthuma D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput Biol. 2015, 11: e1004219.
|
| [22] |
Mishra A, Macgregor S. VEGAS2: Software for More Flexible Gene-Based Testing. Twin Res Hum Genet. 2015, 1886-91.
|
| [23] |
Liberzon Aet al. . Molecular signatures database (MSigDB) 3.0. Bioinformatics. 2011, 27: 1739-1740.
|
| [24] |
Gusev Aet al. . Integrative approaches for large-scale transcriptome-wide association studies. Nat Genet. 2016, 48: 245-252.
|
| [25] |
Venkatesh HSet al. . Neuronal Activity Promotes Glioma Growth through Neuroligin-3 Secretion. Cell. 2015, 161: 803-816.
|
| [26] |
Chen Pet al. . Olfactory sensory experience regulates gliomagenesis via neuronal IGF1. Nature. 2022, 606: 550-556.
|
| [27] |
Hayakawa Yet al. . Nerve Growth Factor Promotes Gastric Tumorigenesis through Aberrant Cholinergic Signaling. Cancer Cell. 2017, 31: 21-34.
|
| [28] |
Gross ERet al. . Neuronal serotonin regulates growth of the intestinal mucosa in mice. Gastroenterology. 2012, 143: 408-417 e402.
|
| [29] |
Batty GD, Russ TC, Stamatakis E, Kivimaki M. Psychological distress in relation to site specific cancer mortality: pooling of unpublished data from 16 prospective cohort studies. BMJ. 2017, 356: j108.
|
| [30] |
Xu J, Li J, Wei Z, Wang Y, Liu P. Screening for monoclonal B-lymphocyte expansion in a hospital-based Chinese population with lymphocytosis: an observational cohort study. BMJ Open. 2020, 10e036006.
|
| [31] |
Wang WJ, Li J, Yang Y, Chen FF, Xu TH, Wang P, et al. Update on the outcome of M-protein screening program of multiple myeloma in China: a 7-year cohort study. Cancer Med. 2023;13. https://doi.org/10.1002/cam4.6859.
|
| [32] |
Fang Let al. . LAMC1 upregulation via TGFbeta induces inflammatory cancer-associated fibroblasts in esophageal squamous cell carcinoma via NF-kappaB-CXCL1-STAT3. Mol Oncol. 2021, 153125-3146.
|
| [33] |
Bai Jet al. . HIF-1α-mediated LAMC1 overexpression is an unfavorable predictor of prognosis for glioma patients: evidence from pan-cancer analysis and validation experiments. J Transl Med. 2024, 221391.
|
| [34] |
Chen J, Liu Z, Zhong Y, Chen H, Xie L. Circ_0124208 Promotes the Progression of Hepatocellular Carcinoma by Regulating the miR-338-3p/LAMC1 Axis. Mol Biotechnol. 2023, 65: 1750-1763.
|
| [35] |
Kajkowski EMet al. . beta -Amyloid peptide-induced apoptosis regulated by a novel protein containing a g protein activation module. J Biol Chem. 2001, 276: 18748-18756.
|
| [36] |
Abraham CGet al. . DeltaNp63alpha Suppresses TGFB2 Expression and RHOA Activity to Drive Cell Proliferation in Squamous Cell Carcinomas. Cell Rep. 2018, 24: 3224-3236.
|
| [37] |
Luck Ket al. . A reference map of the human binary protein interactome. Nature. 2020, 580: 402-408.
|
| [38] |
Park Bet al. . Association of Lbc Rho guanine nucleotide exchange factor with alpha-catenin-related protein, alpha-catulin/CTNNAL1, supports serum response factor activation. J Biol Chem. 2002, 277: 45361-45370.
|
| [39] |
Kahm YJ, Jung U, Kim RK. regulation of cancer stem cells and epithelial-mesenchymal transition by CTNNAL1 in lung cancer and glioblastoma. Biomedicines. 2023;11. https://doi.org/10.3390/biomedicines11051462.
|
| [40] |
Strausberg RLet al. . Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences. Proc Natl Acad Sci U S A. 2002, 99: 16899-16903.
|
| [41] |
Buettner JAet al. . Organization and evolution of olfactory receptor genes on human chromosome 11. Genomics. 1998, 53: 56-68.
|
| [42] |
Visser WF, Verhoeven-Duif NM, de Koning TJ. Identification of a human trans-3-hydroxy-L-proline dehydratase, the first characterized member of a novel family of proline racemase-like enzymes. J Biol Chem. 2012, 287: 21654-21662.
|
| [43] |
Kumar Ret al. . DENND2B activates Rab35 at the intercellular bridge, regulating cytokinetic abscission and tetraploidy. Cell Rep. 2023, 42: 112795.
|
| [44] |
Kristal Eet al. . Hyper IgM in tricho-hepato-enteric syndrome due to TTC37 mutation. Immunol Res. 2022, 70775-780.
|
| [45] |
Fabre Aet al. . Novel mutations in TTC37 associated with tricho-hepato-enteric syndrome. Hum Mutat. 2011, 32: 277-281.
|
Funding
Science and Technology Innovation Action Plan of Shanghai(21YF1406300)
Natural Science Foundation of Shanghai(22ZR1411400)
RIGHTS & PERMISSIONS
The Author(s)