| Literature DB >> 34010407 |
Julia Hauer1,2, Ute Fischer3,4, Arndt Borkhardt3,4.
Abstract
B-cell precursor acute lymphoblastic leukemia (BCP-ALL) is the most common form of childhood cancer. Chemotherapy is associated with life-long health sequelae and fails in ∼20% of cases. Thus, prevention of leukemia would be preferable to treatment. Childhood leukemia frequently starts before birth, during fetal hematopoiesis. A first genetic hit (eg, the ETV6-RUNX1 gene fusion) leads to the expansion of preleukemic B-cell clones, which are detectable in healthy newborn cord blood (up to 5%). These preleukemic clones give rise to clinically overt leukemia in only ∼0.2% of carriers. Experimental evidence suggests that a major driver of conversion from the preleukemic to the leukemic state is exposure to immune challenges. Novel insights have shed light on immune host responses and how they shape the complex interplay between (1) inherited or acquired genetic predispositions, (2) exposure to infection, and (3) abnormal cytokine release from immunologically untrained cells. Here, we integrate the recently emerging concept of "trained immunity" into existing models of childhood BCP-ALL and suggest future avenues toward leukemia prevention.Entities:
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Year: 2021 PMID: 34010407 PMCID: PMC8532195 DOI: 10.1182/blood.2020009895
Source DB: PubMed Journal: Blood ISSN: 0006-4971 Impact factor: 22.113
Genetic predisposition to BCP-ALL
| Rare, highly penetrant germline variations | ||||||
|---|---|---|---|---|---|---|
| Syndrome, gene(s) | Alteration | Consequence | Pathogenic variants | Presentation | Frequency | References |
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| Missense, nonsense, frameshift, splice site, deletion | LOF, loss of transcriptional repression, probably dominant negative | Various, distributed throughout and clustered in DNA-binding Ets domain | Variable, thrombocytopenia, bleeding tendency, red cell macrocytosis, multilineage dysplasia, ∼1/3 have hematologic malignancies (ALL, MDS, AML). Solid tumors can occur in adulthood. | ∼1% of “sporadic” ALL |
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| Missense, nonsense, frameshift | LOF, altered subcellular localization, adhesion, and responsiveness to chemotherapy | Various, distributed throughout, mostly outside zinc finger regions | Immunodeficiency (CVID), autoimmunity, ALL | ∼1% of “sporadic” ALL |
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| Li-Fraumeni syndrome, | Missense, nonsense, frameshift | LOF, decreased transcriptional activity | Various, distributed throughout and clustered in DNA binding | Osteosarcoma, breast cancer, soft-tissue sarcoma, brain tumors, adrenocortical carcinoma, ALL (mainly hypodiploid) | ∼0.5% of “sporadic” ALL |
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| Missense | Hypomorphic variants, decreased repressive transcriptional activity | Arg38His | ALL, no common abnormalities noted | Few affected families known |
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| Biallelic frameshift | Increased JAK-STAT signaling, accelerated proliferation of lymphoid cells | c.671insGGCCCCG p. Asp231Gly fs*38 | Mild developmental delay, growth retardation, autoimmunity, ALL | 2 siblings reported |
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| Missense | GOF, promotes TYK2 autophosphorylation and activation of downstream STAT family members | p.Pro760Leu p.Gly761Val affecting the pseudokinase domain | ALL and second primary ALL | 2 unrelated patients reported |
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| CMMRD syndrome, | Biallelic mutations | LOF | PMS2 c.1831dupA | Early-onset solid cancer and leukemia, café-au-lait spots, hypopigmented skin lesions, adenomatous polyps, pilomatricomas, or impaired immunoglobulin class switch recombination | ∼30% develop ALL or AML | |
| Down syndrome (trisomy 21) | Trisomy, translocations | Aberrant gene dosage | Full trisomy of chromosome 21 or chromosome 21 translocations | Intellectual disability, cardiac abnormalities, facial dysmorphologies, transient abnormal myelopoiesis, predisposition to MDS, AML, ALL | ∼1% develop ALL or AML |
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| Noonan syndrome, | Missense, indels | GOF, dysregulate the RAS-MAPK pathway | PTPN11: SH2 domain, PTP domain interacting surfaces; SOS1: PH domain and distributed | Skin manifestations, growth retardation, facial dysmorphologies, cardiac abnormalities, neurofibroma, rhabdomyosarcoma, JMML, ALL, AML | ∼0.5% develop high hyperdiploid ALL |
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CI, confidence interval; CMMRD, constitutional mismatch repair deficiency; CVID, common variable immunodeficiency; dbSNP, single nucleotide polymorphism database; GOF, gain of function; JMML, juvenile myelomonocytic leukemia; LOF, loss of function; MDS, myelodysplastic syndrome; OR, overall risk; RAF, risk allele frequency.
Figure 1.Contribution of trained immune responses to BCP-ALL development. Children genetically predisposed to BCP-ALL harbor clonally expanded preleukemic cells at birth. A hematopoietic stressor, such as infection, has the potential to trigger ALL at a later time point (2-6 years). The genetically determined immune responses, cytokine release, and basal cytokine levels, especially of interferons, may influence the outgrowth of the leukemic clone. However, the role of earlier-trained innate cells in the control of the preleukemic clone is largely unappreciated thus far. Epidemiological and experimental data suggest that innate immunity can be trained by BCG vaccination or β-glucan application, which substantially reduces the risk of developing BCP-ALL.
Selected epidemiological studies
| Space-time clustering of BCP-ALL | ||||
|---|---|---|---|---|
| Region | Associated agent | Cases | Time | References |
| Rural areas, UK | ND | NA | 1946-1965 | |
| Niles, USA |
| 8 | 1957-1960 |
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| Fallon, USA | Adenovirus | 13 | 1999-2004 |
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| Milan, Italy | Influenza A (H1N1) virus | 7 | 4 wk, 2009/2010 |
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| UK | Influenza virus | NA | 1974-2000 |
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| Switzerland | ND | NA | 1985-2014 |
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mo, months; NA, not applicable; ND, not determined; wk, weeks.
Preclinical murine BCP-ALL infection models
| Primary oncogenic lesion | Treatment | Outcome | Comment | References |
|---|---|---|---|---|
| Transgenic, retroviral | No treatment | Decreased B-cell differentiation of early B-cell progenitors (Cd19− to pro-B) to pre-B cells | First model of |
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| Transgenic, | No treatment | Expansion of early B-cell progenitors (Cd34+Cd38−Cd19+) | First lymphoid lineage-specific model of |
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| Heterozygous knockout, | Exposure to infectious environment | BCP-ALL, ∼22% of mice | First in vivo model recapitulating human |
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| Transgenic, retroviral | NOD-SCID transplanted with pretreated | 100% BCP-ALL in ex vivo LPS-treated | First murine model showing the impact of bacterial infection on |
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| Transgenic, | Treatment of | Delay of BCP- ALL | First model of leukemia prevention through targeting IFN pathways |
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| Transgenic, conditional | No treatment | BCP-ALL: 7% | First in vivo model recapitulating human |
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| Transgenic, conditional | No treatment | Heterozygous deletion of Pax5 substantially increased penetrance and shortened BCP-ALL latency | Confirmed a tumor-suppressive role for |
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| Transgenic, | Exposure to infectious environment | BCP-ALL, ∼10% of mice | First in vivo model recapitulating human |
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| Heterozygous knock-out, | Exposure to infectious environment | BCP-ALL, ∼30% of mice | First model showing that AID does not affect latency or incidence of infection-mediated Pax5+/− BCP-ALL development |
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| Hetero- and homozygous knock-out, | Exposure to infectious environment | BCP-ALL, ∼30% of mice | ||
| Heterozygous knockout of | Exposure to infectious environment | BCP-ALL, ∼15% of mice | First model showing that the infection-driven BCP-ALL development in |
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| Heterozygous knockout | Exposure to infectious environment | BCP-ALL, ∼15% of mice |
LPS, lipopolysaccharide.
Figure 2.Possible preventive measures and proposed interventions that can help to reduce the risk of BCP-ALL development in genetically predisposed children. Before birth, maternal uptake of folic acid and a healthy diet (brown) have been associated with a reduced risk of BCP-ALL development. Maternal infection in pregnancy is associated with a significantly increased BCP-ALL risk related to viral transmission. After birth, trained immunity (green) and microbiome diversity (yellow) are important factors supported by epidemiological (filled bars) or experimental (striped bars) evidence. Immunity can be trained through vaccinations (TIBVs) before the age of 3 months, by breastfeeding and by social and livestock contacts (including pets) in the first year of life. Microbiome diversity is supported by a natural delivery and gradually builds up after birth. Again, breastfeeding and social and livestock contacts in the first year of life also have a beneficial impact on gut microbial diversity. Although only demonstrated in experimental models, the avoidance of overuse of antibiotics, the application of probiotics and a diet consisting of microbiome-supportive fibers are interventions that could also reduce the risk of leukemia development. Exposure of parents and children to various harmful chemicals can influence the microbiome along with carcinogenic effects. Further evidence needs to be generated through large population-based studies to identify preventive measures and to substantiate initial data on vaginal seeding and fecal transplants.
Figure 3.Antibiotic treatment in the development of lymphoblastic leukemia. Antibiotic treatment in early life induces leukemia in genetically predisposed Pax5 mice. (Left) In wild-type mice, depletion of the gut microbiome bacteria by antibiotic treatment at 8 weeks of age has only a transient effect on the immune system (including the gut-associated and peripheral lymphoid tissues) and mice do not develop pB-ALL. (Right) Pax5 heterozygosity directly affects B-cell maturation and leads to clonal hematopoiesis, while also indirectly reducing gut microbiota diversity. In response to bacterial depletion in the gut microbiome by antibiotic treatment at 8 weeks of age, the microbiome reconstitutes with further reduced diversity. Cooperating oncogenic mutations then lead to pB-ALL in ∼50% of these mice between 11 and 21 months of age. Leukemia development is preceded by a reduction of mature B and T cells in the gut and associated peripheral lymphoid tissues. However, it has not been tested in this model whether leukemia development can be inhibited through intervention. In addition to microbial dysbiosis, infectious stimuli can also cooperate with oncogenic mutations, leading to leukemia development in Pax5 mice.