Sage Journals: Discover world-class research

Abstract

Epidemiological evidence of an association between exposure to chemical carcinogens and an increased risk for development of glioblastoma (GBM) is limited to weak statistical associations in cohorts of firefighters, farmers, residents exposed to air pollution, and soldiers exposed to toxic chemicals (e.g., military burn pits, oil-well fire smoke). A history of ionizing radiation therapy to the head or neck is associated with an increased risk of GBM. Ionizing radiation induces point mutations, frameshift mutations, double-strand breaks, and chromosomal insertions or deletions. Mutational profiles associated with chemical exposures overlap with the broad mutational patterns seen with ionizing radiation. Data on 16 agents (15 chemicals and radio frequency radiation) that induced tumors in the rodent brain were extracted from 602 Technical Reports on 2-years cancer bioassays found in the National Toxicology Program database. Ten of the 15 chemical agents that induce brain tumors are alkylating agents. Three of the 15 chemical agents have idiosyncratic structures and might be alkylating agents. Only two of the 15 chemical agents are definitively not alkylating agents. The rat model is thought to be of possible relevance to humans suggesting that exposure to alkylating chemicals should be considered in epidemiology studies on GBM and other brain tumors.

Keywords

Glioblastomas glioblastoma environmental exposure burn pit chemicals alkylating agents national toxicology program epidemiology studies

Introduction

Glioblastoma (GBM) is the most common primary brain cancer in adults with about 12,000 cases diagnosed in the United States each year¹ encompassing 16% of all primary brain and central nervous system neoplasms.² All GBMs are WHO grade IV brain tumors leading to a median length of survival following diagnosis of only 15–18 months and a 5-years survival rate around 10%.¹

The clearest relationship of an environmental exposure to GBM is radiation. Between 1910 and 1959, an estimated 200,000 children worldwide were exposed to X-rays³ from employing the Adamson-Kienbock procedure for Tinea capitas, i.e., the fungal scalp infection called ringworm.⁴ Long-term follow up studies revealed that these scalp X-ray treatments were associated with an increased risk most frequently for meningiomas but also for gliomas.^1,5 Radiation is a powerful mutagen associated with many cancers, but it is difficult to assign a particular mutagenic mechanism to the induction of radiation associated GBMs, as X-ray irradiation induces several different types of DNA damage including chromosomal loss, chromosomal deletions, chromosomal nondisjunction, and localized mutations affecting small sections of the chromosome.^6,7

In addition to ionizing radiation, at least three genetic syndromes are associated with an increased risk for development of GBM – Li-Fraumeni syndrome,^8–12 Neurofibromatosis 1,^13–19 and Turcot syndrome.^20–23 Ionizing radiation, and these three genetic syndromes, are associated with other brain tumors in addition to GBM, and each of these risk factors displays different mutation patterns thought to influence the initiation or progression of the associated brain tumor type. The lack of specificity regarding brain tumor type, and of putatively causative mutations, implies that different molecular pathways can lead to a GBM or other brain tumor types.

Uncertainty of induction of glioblastoma by chemical exposures

Exposure to environmental chemicals has not been proven to be associated with an increased risk for development of GBM in humans.²⁴ This ambiguity is not surprising given the challenges faced by an epidemiological approach. In 2020, there were 1,603,844 new cancer cases in the US, and 602,347 cancer deaths.²⁵ The 12,000 yearly GBM cases and deaths represent only 0.75% of total US cancer cases, and 2% of total cancer deaths. The relative rarity of GBM renders studying its causation via a prospective design much more difficult than employing a less statistically robust retrospective design.²⁶ A prospective design requires the logistically complex and expensive enrollment of a very large number of research subjects and an extended follow-up period to facilitate detection of a significant number of GBM cases.

Retrospective epidemiology studies and meta-analyses report weak but statistically significant associations between putative exposure to chemicals and brain tumors including GBM. Several retrospective studies have examined working as a firefighter and increased risk for brain tumors.^27–36 Similarly, retrospective epidemiology studies have also reported an increased risk of brain cancer in farmers.^37–42 In contrast, other studies on farmers have reported no increased risk for central nervous system (CNS) tumors.^43–46

Employing both retrospective and prospective study designs, a significant effort has been expended toward studying the possible relationship between exposure to air pollution and the development of brain tumors. Based on 12,928 brain tumor cases and 22,961 controls, a Danish studied reported total tumors of the brain were associated with combined organic carbon and emitted black carbon odds ratio (OR) 1.053 [95% Confidence Interval (CI), 1.005-1.103, per interquartile range of exposure]. The strongest associations were reported for malignant tumors with an OR per interquartile range of exposure for combined organic carbon and emitted black carbon of 1.063, (95% CI 1.007-1.123).⁴⁷ Based on 210 cases of malignant brain cancer and 555 cases of meningioma in Los Angeles County, brain cancer risk in men increased with exposure to benzene [hazard ratio (HR) 3.52, 95% CI 1.55-7.55] and PM₁₀ (HR 1.80, 95% CI 1.00-3.23).⁴⁸ A prospective Danish study enrolled 25,143 cancer-free nurses and followed them for 15.7 years during which 121 brain cancers developed. In nurses over age 44, a weak positive association between air pollution exposure and brain tumors was seen, with a stronger association seen in obese subjects. Associations for benign tumors and meningeal tumors were stronger than for other brain cancers.⁴⁹

A large European prospective study enrolled 282,194 subjects from five Swedish cohorts, one Norwegian cohort, one Danish cohort, two Dutch cohorts, one Austrian cohort, and two Italian cohorts (cities of Varese and Turin).⁵⁰ By international standards, the areas selected for study do not experience significant levels of air pollution. More heavily polluted areas might have provided a better test of the possible effects of air pollution. During 12 years of follow-up, 466 malignant brain tumors were diagnosed. Data on nonmalignant brain tumors was available for a subgroup of 106,786 subjects that presented with 176 benign brain tumors and 190 malignant brain tumors. A nonsignificant positive association was seen for malignant brain tumors and exposure to PM_2.5 (HR 1.67, 95% CI 0.89-3.14 per 10-5/m³). For other air pollutants, only weakly positive or null associations were observed.

A Taiwanese study examined the association between brain cancer and residential exposure to petrochemical air pollution.⁵¹ Areas with the highest levels of petrochemical air pollution reported a significantly higher risk for brain cancer as compared with areas with the lowest petrochemical air pollution levels (OR 1.65, 95% CI 1.00-2.73). An analysis of 1284 brain cancer cases from the Cancer Prevention Study-II sponsored by the American Cancer Society reported no increase in brain cancer related to air pollution exposure.⁵² A prospective Danish study reported a positive association between exposure to auto exhaust emissions and brain cancer [2.28 IRR (incidence rate ratio), 95% CI 1.25-4.19, per 100 μg/m³ NO(x)].⁵³ A pooled analysis of 623 cases of malignant CNS tumors from six European cohorts reported an HR of 1.07 (95% CI 0.95-1.21) per 10 μg/m³ NO₂, 1.17 (0.96-1.41) per 5 μg/m³ PM2.5, 1.10 (0.97-1.25) per 0.5 10⁻⁵m⁻¹ black carbon (BC), and 0.99 (0.84-1.17) per 10 μg/m³ O₃.⁵⁴ A study conducted in Montreal and Toronto evaluated the association between ultrafine particles (UFPs) and brain tumors. For 1400 brain tumors presenting during the follow-up period, each 10,000/cm increase in UFPs was positively associated with brain tumor incidence (HR 1.112, 95% CI 1.042 -1.188).⁵⁵ Overall, the data are mixed with some studies reporting small but statistically significant results, and other studies reporting no relationship.

GBM and the military environment

In 2015, American President Joseph R. Biden’s son Delaware Army National Guard Major Beau Biden died at age 46 from glioblastoma. Major Biden’s deployment to Iraq for almost 1 year from 2008-2009 raised public concerns regarding potential health effects of chemical exposures from military burn pit emissions.⁵⁶ Intense interest in the possible adverse health effects of deployment associated exposures culminated in August 2022 with the US Congress’ passage of the PACT Act (The Sargeant First Class Heath Robinson Honoring our Promise to Address Comprehensive Toxics Act of 2022).⁵⁷ The PACT Act presumes that GBM is a service-connected disability for veterans who served on or after September 11, 2001, in any of these locations: Afghanistan, Djibouti, Egypt, Jordan, Lebanon, Syria, Uzbekistan, and Yemen. Also covered are veterans who served on or after August 2, 1990, in any of these locations: Bahrain, Iraq, Kuwait, Oman, Qatar, Saudi Arabia, Somalia, and the United Arab Emirates (UAE). Veterans who served in the airspace above these locations are also covered by the PACT Act.⁵⁸

Unrelated to burn pit exposure, military personnel from different countries have been studied for brain cancer risk. In an Italian case-control study on 161 histologically confirmed glioma and meningioma patients, and 483 control subjects, a statistically significant association was seen between diagnosed brain tumors and military occupations (p = .013).⁵⁹ Using data from the US Department of Defense’s Automated Central Tumor Registry (ACTUR) and the National Cancer Institute’s Surveillance, Epidemiology, and End Results 9 (SEER-9) registries, the age and sex-adjusted incidence rate for malignant neuroepithelial brain cancer was significantly lower in active-duty military personnel than in the US general population [IRR 0.62, 95% CI 0.56-0.68].⁶⁰ A case-control study analyzed data from ACTUR and the Military Health System Data Repository and reported a significant association between psychiatric illnesses and brain cancer (OR = 2.63, 95% CI 2.18-3.16) and other cancers (OR = 1.80, 95% CI 1.49-2.19), compared to non-cancer controls.⁶¹ A small case-control study on 40 Brazilian navy personnel presenting with a CNS tumor reported a higher risk among health personnel (OR = 2.13, 95% CI 1.07-4.97) than in other occupational categories.⁶² In 6159 Norwegian peacekeepers (5884 men and 275 women) who served in Kosovo during 1999–2016, there was no increase in cancer rates including brain cancer.⁶³

Interleukin 15 (IL-15) has been investigated for its therapeutic potential to induce and maintain T cell responses, and to reduce inflammation.⁶⁴ Interleukin-16 (IL-16) acts as a chemoattractant for CD4+ cells, as a modulator of T-cell activation, and plays a key role in asthma.⁶⁵ Based on 457 case-control sets in US military personnel, higher levels of IL-15 and IL-16 were independently associated with lower glioma risks (P_trend = 0.002 and P_trend = 0.001).⁶⁶ This result is consistent with the observation of an inverse association between atopy and glioma.^67–70

GBM and military burn pits

Epidemiology studies conducted by the Veterans Administration (VA) have provided suggestive evidence that chemical exposure could be associated with development of GBM. In Gulf War veterans potentially exposed during the demolition of nerve agents during March 1991 at Khamisiyah, Iraq, the RR of brain cancer deaths was 1.94 (95% CI 1.12-3.34). Two-day exposure with an RR of 3.26 (95% CI 1.33-7.96) carried more risk than 1-day exposure with an RR of 1.72 (95% CI 0.95-3.10).⁷¹ At 21 years of follow-up, U.S. Army veterans possibly exposed to nerve agents at Khamisiyah had similar rates of brain cancer mortality compared to those not possibly exposed. Notably, veterans possibly exposed had a higher risk of brain cancer in the period immediately following the Gulf War suggesting the possibility that a susceptible subgroup might have developed brain cancer related to exposure and then expired, with the rest of the cohort unaffected moving forward.⁷²

Despite the large number of veterans that can be studied in the VA epidemiology studies, the lack of specific exposure data for the GBM cases limits the ability to infer causal associations. In the following study, we evaluate the biological plausibility of the induction of GBM via chemical exposure by correlating the mode of action of the known environmental risk factors for GBM with results from the extensive National Toxicology Program (NTP) Database.⁷³ The NTP Database contains the results from 602 Technical Reports (as of October 2023) on chemicals evaluated in 2-years cancer bioassays primarily employing rats and mice.⁷⁴

Brain tumors in rodents

There are histological differences and some similarities between spontaneous brain tumors in rats, mice, and humans. Krinke et al. (2000)⁷⁵ have compared the characteristics of spontaneous brain tumors in rodents with those arising in humans. CNS lesions in rodents are usually classified as low grade or high grade, rather than as benign or malignant. Compared with human CNS tumors, rodent CNS tumors are less well differentiated. Medulloblastoma and pineoblastoma occur in both rodents and humans. In contrast, rodents do not develop brain tumors analogous to human gliomas, ependymomas, and meningiomas. Spontaneous CNS tumors occur significantly more often in rats (>1% of total tumors) than in mice (>0.001% of total tumors). A common type among rat CNS tumors is the presence of cells with an eosinophilic granular cytoplasm usually associated with the meninges. These granular tumor types are frequently found on the cerebellar surface. Rat astrocytomas tend to be diffuse, multifocal, and invasive to perivascular spaces and meninges. They are frequently located in the brain stem and basal ganglia. Rat oligodendroglial tumors are well delineated and frequently grow into the walls of brain ventricles. At the periphery of the oligodendroglial tumors, atypical vascular endothelial proliferation occurs. In rats, pineal tumors or medulloblastomas share similar features with analogous human tumors. In contrast with the granulomatous meningiomas seen in rats, mouse meningeal tumors are mostly devoid of granular cells. Astrocytomas are similar in rats and mice. Spontaneous oligodendrogliomas are rare in mice. In the mouse CNS, lipomatous hamartomas or epidermoid cysts are sometimes seen.⁷⁵ In summary, a variety of brain tumors occur spontaneously in rodents, especially in rats, but these spontaneous rodent brain tumors are not analogous to human GBM.

In contrast with the absence of spontaneous rodent tumors analogous to human gliomas, the C6, 9L, and F89 rat tumor glioma models were developed by repeated injections of nitrosourea to adult rats.⁷⁶ C6 is the most widely used rat glioma model and was developed by repeatedly administering N-methyl-N′-nitrosourea (MNU) to outbred Wistar rats over 8 months.^77,78 Many small alkylating agents are potent carcinogens and mutagens including dimethyl nitrosamine, diethyl nitrosamine, MNU, N-ethyl-N′-nitrosourea, and 1,2-dimethyl hydrazine.⁷⁹ Some small alkylating agents (like nitroamides) do not require metabolic activation but directly react with DNA. However, N-nitrosamines require metabolic activation in the liver to express their carcinogenicity. Each of these alkylating agents forms a major DNA adduct by direct alkylation of the N7 of deoxyguanosine via monomolecular (SN1) or bimolecular (SN2) nucleophilic substitution reactions. Small alkylating agents can bind to the DNA phosphate backbone and can also bind to DNA bases producing low levels of 1-alkyl adenine, 3-alkyl adenine, 7-alkyl adenine, O3-alkyl guanine, O6-alkyl guanine, O3-alkyl thymine, O2−alkyl thymine, O4-alkyl thymine, O3-alkyl cytosine, or O2-alkyl cytosine. Alkylating agents like methyl-methane sulfonate (MMS) and dimethyl sulfate operating via an SN2 reaction mechanism form N7 deoxyguanosine adducts predominately. Small alkylating agents like N-methyl-N′-nitro-N-nitrosoguanidine (MNNG) and N-nitroso-N′-methylurea (MNU) operating via an SN1 reaction mechanism produce relatively more adducts at deoxyguanosine O6.⁷⁹ These observations support the relationship between exposure to alkylating agents and formation of aggressive brain tumors in multiple species.

Methods and results

Chemicals inducing brain tumors in rodents exposed for 2-year in NTP cancer bioassays

Table 1 is titled “Chemicals Tested by the National Toxicology Program (NTP) Reporting Brain Tumors in Rodents.” The information in Table 1 was abstracted from the NTP website at https://ntp.niehs.nih.gov/ ⁷⁴ and from Smith and Perfetti (2018).⁸⁰ In The NTP website, links exist to several tools that facilitate study of the results from the Technical Reports (TR) on agents tested by the NTP. A link on the Publications Page leads to a link called Technical Reports. Using the organ-specific search feature of the website and searching for all results for BRAIN for both sexes, yielded 17 TRs.

Table 1.

Chemicals tested by the national toxicology program (NTP) reporting brain tumors in rodent.

Test No.	Chemical Tested - Abrev. (CASRN) Route	Log P	Ames Test Results (Positive-Negative)	Other Positive Genetic Toxicology Test Results	Tumor Results Male Rats	Tumor Results Female Rats	Tumor Results Male Mice	Tumor Results Female Mice	Description
TR-346	Chloroethane (ethyl chloride) (CASRN 75-00-3) Inhalation	1.43	Positive	Positive chromosomal aberration.		Positive			Colorless gas use in the production of ethyl cellulose, dyes, medicinal drugs, and other commercial chemicals, and use as a solvent and refrigerant. It is a local anesthetic agent.
TR-363	Bromoethane (Ethyl bromide) (CASRN 74-96-4) Inhalation	1.61	Negative	Positive sister chromatid exchanges (SCEs) but not chromosomal aberrations	Positive.	Positive			It is a liquid alkylating agent used as a chemical intermediate in various organic syntheses. It has a role as a carcinogenic agent, a solvent, a refrigerant, a local anesthetic and an alkylating agent.
TR-434 (B6C3F1/N mice) and TR-288 (B6C3F1/N mice); International Institute of Synthetic Rubber Producers (IISRP) (1981) (Sprague-Dawley rats)	1,3-Butadiene (CASRN 106-99-0) Inhalation	1.99	Positive	Positive in chromosomal aberrations and sister chromatid exchanges			Positive		1,3-Butadiene is a colorless gas at room temperature with a gasoline-like odor. It is used to produce synthetic rubber products, such as tires, resins, and plastics, and other chemicals.
TR-486 (rats); NTP Technical report 31 (mice)	Isoprene (CASRN 78-79-5) Inhalation	2.42	Negative	Positive in vivo in mice for SCE and micronucleus.		Positive			A VOC used mainly in the production of isoprene rubber (used in vehicle tires), block polymers containing styrene (used as thermoplastic rubbers) and pressure-sensitive adhesives and in butyl rubber used for construction of hoses and tires.
TR-534	Divinylbenzene HP (CASRN 1321-74-0) Inhalation	3.8	Negative	Negative in micronucleus	Positive				A colorless to pale, straw-colored liquid. It is used in making synthetic rubber, drying oils, polyesters, resins and ion exchange beads.
TR-88	1H-Benzotriazole (CASRN 95-14-7) Feed	1.44	Positive	Chromosome aberrations in Chinese hamster ovary (CHO) cells (positive); Sister chromatid exchange in CHO cells (positive).	Positive	Positive			It is a specific liquid corrosion inhibitor for copper and copper alloys. It is used in industry to reduce the corrosion of these alloys under both atmospheric and immersed conditions.
TR-355	Diphenhydramine Hydrochloride (CASRN 147-24-0) Feed	3.27	Negative	Positive in chromosome aberrations; no induction of sister chromatid exchanges (SCEs) was observed	Positive				Diphenhydramine is an antihistamine used to relieve symptoms of allergy, hay fever, and the common cold.
TR-356	Furosemide (CASRN 54-31-9) Feed	2.03	Negative	Positive sister chromatid exchanges and chromosomes aberrations	Positive				Furosemide is loop diuretic used to reduce extra fluid in the body (edema) caused by conditions such as heart failure, liver disease, and kidney disease.
TR-597	2-Hydroxy-4-methoxybenzophenone - 2H4MBP (CASRN 131-57-7) Feed	3.79	Negative	None done	Positive				It is a pale yellow solid used in sunscreen lotions, creams, milks, oils, and cosmetics.
TR-374	Glycidol (CASRN 556-52-5) Gavage	−0.95	Positive	Positive in sister chromatid exchanges and chromosomal aberrations	Positive	Positive			Glycidol is an epoxide used as a chemical intermediate in the production of functional epoxides, glycidyl urethanes, pharmaceuticals and other products. It is also used as a reactive diluent in epoxy resin systems and as a sterilant.
TR-583	Bromodichloroacetic Acid -BDCA (CASRN 71133-14-7) Drinking water	1.55	Positive	Negative micronucleated normochromatic erythrocytes	Positive	Positive			BDCA is employed as a reagent for synthesis, as a catalyst, as a reactant in biochemical and physiological assays, and as a research tool in biochemistry and molecular biology. It can also act as an oxidizing agent, electrophile, and nucleophile.
TR-372	3,3′-Dimethoxybenzidine Dihydrochloride (CASRN: 20325-40-0) Drinking	2.2	Positive	Positive sister chromatid exchanges and chromosomal aberrations	Positive		Not tested	Not tested	3,3′-Dimethoxybenzidine is used as an intermediate in the production of dyes and pigments.
TR-390	3,3′-Dimethylbenzidine Dihydrochloride (CASRN: 612-82-8) Drinking water	4.6	Positive	Positive induced sister-chromatid exchanges (CHO) and chromosomal aberrations in CHO cells	Positive	Positive	Not tested	Not tested	3,3′-Dimethylbenzidine is used as an intermediate in the production of dyes and pigments.
TR-397	C.I. Direct Blue 15 (CASRN: 2429-74-5) Drinking water	10.2	Negative	Negative, did not induce sister chromatid exchanges or chromosomal aberrations in CHO	Positive		Not tested	Not tested	Direct Blue 15 is an azo dye. It is a dark blue water soluble solid. It is a popular substantive dye, which means that it is useful for dying cotton and related cellulosic materials.
TR-19	Procarbazine (CASRN 366-70-1) Intraperitoneal injection	0.06	Negative	Positive. Induced DNA damage in hepatocytes measured by an automated alkaline elution method	Positive	Positive			It is an alkylating agent. It works by slowing or stopping the growth of cancer cells.
TR-595 (toxicology and Carcinogenesis Studies in Sprague Dawley SD rats Exposed to whole-body radio Frequency radiation at a Frequency (900 MHz) and modulations (GSM and CDMA) Used by Cell Phones)	Radio Frequency (RF) radiation	None	Not Conducted	No statistically significant increases in DNA damage were observed	Positive	Positive	Not tested	Not tested	RF radiation is a form of electromagnetic energy with frequencies that range from a few kilohertz up into the gigahertz range. There are many sources of RF energy in the environment.

Out of the 602 TRs reviewed, 16 agents (15 chemicals and radio frequency radiation) induced brain tumors in either rats or mice, or both. One agent was tested twice (first in rats and then again in mice) resulting in 16 agents being described in 17 TRs. For each of the 16 agents, Table 1 lists the TR number, chemical name and Chemical Abstract Service Registry Number (CASRN), route of administration, log p value, mutagenicity (Ames results), other genotoxicity data, and tumor results [male rats (MR), female rats (FR), male mice (MM), and female mice (FM))], and a description of the agent tested.

Consistent with the much lower spontaneous brain tumor formation rate in mice as compared with rats,⁷⁵ 13 agents induced brain tumors in male rats, nine agents induced brain tumors in female rats, but only one agent induced brain tumors in male mice, and no agents induced brain tumors in female mice. Six agents produced tumors in both male and female rats: ethyl bromide, 1H-benzotriazole, 3,3′-dimethylbenzidine dihydrochloride, glycidol, procarbazine, and radio frequency (RF) radiation. Each of these agents is either an alkylating or a possible alkylating agent. No agent produced brain tumors in both rats and mice of either sex.

Determination of the chemical composition of military burn pit smoke

The composition of military burn pit smoke was estimated from an internet search. The search was conducted from September 10, 2023, through September 27, 2023. The search terms employed included the following: military burn pits, effluent from burn pits, military bases with burn pits, Afghanistan burn pits, Iraqi burn pits, materials burned in military burn pits, chemicals from burn pits, metals from burn pits, polyaromatic hydrocarbons from burn pits, volatile organic compounds in military burn pits, halogenated dioxins and furans in burn pits, PM_2.5 from military burn pits, PM₁₀ from military burn pits, and alkylating agents in military burn pits. No quotes, special fields, truncations, etc. were used in the searches. No filters of any kind were used in the searches. The only restrictions were that the burn pits were on military bases in Afghanistan or Iraq during the period 2001-2021.

Much of the information regarding chemical composition, presence of metals, and complex mixtures associated with the effluent from military burn pits, came from a detailed report titled “Screening Health Risk Assessment Burn Pit Exposures, Balad Air Base, Iraq and Addendum Report” issued by Lieutenant Colonel Jay A. Vietas (United States Air Force) and his team, published in 2008 at the Aberdeen Proving Ground, Maryland.⁸¹ Additionally, Vietas et al. (2008)⁸¹ provided detailed information on the waste materials being burned in the pits. The report provided data on 77 volatile organic compounds (VOCs), 10 metals, 17 polycyclic aromatic hydrocarbons (PAHs), 17 halogenated dioxins and furans, and particulate matter (PM_2.5 and PM₁₀) using analytical methods verified in the literature. Sampling was conducted over a 24-hr period. Forty-one validated samples were collected for the determination of volatile organic compounds (VOCs). Sixty validated samples were collected for PM and metals determinations. Thirty-two validated samples were collected for polycyclic aromatic hydrocarbons (PAHs) determinations. Thirty validated samples were collected for halogenated dioxins and furans determinations. Data on 121 chemicals and metals, as well as two complex mixtures (PM_2.5 and PM₁₀) are reported for the effluent from military burn pits.⁸¹ Information from internet searches corroborated the data from Vietas et al. (2008).⁸¹

Table 2 lists the 15 chemical agents (the 16th agent was radio frequency radiation) tested by NTP that induced brain tumors in rodents. Ten of the 15 chemical agents that induce brain tumors are alkylating agents. Three of the 15 chemical agents have idiosyncratic structures and might be alkylating agents. Only two of the 15 chemical agents are definitively not alkylating agents. Only 1,3-butadiene both induced brain tumors and was found in actual burn pit smoke. Both 1,3-butadiene and chloroethane (ethyl chloride) both induced brain tumors and were found in simulated burn pit smoke.⁸¹

Table 2.

Chemical agents tested by NTP that induced brain tumors.

Chemical Tested - Abrev. (CASRN) Route	Found in Simulated Burn Pit Smoke	Found in Actual Burn Pit Smoke	Alkylating Agent
Chloroethane (ethyl chloride) (CASRN 75-00-3) Inhalation	Yes	No	Yes
Bromoethane (Ethyl bromide) (CASRN 74-96-4) Inhalation	No	No	Yes
1,3-Butadiene (CASRN 106-99-0) Inhalation	Yes	Yes	Yes
Isoprene (CASRN 78-79-5) Inhalation	No	No	Yes
Divinylbenzene HP (CASRN 1321-74-0) Inhalation	No	No	Yes
1H-Benzotriazole (CASRN 95-14-7) Feed	No	No	Yes
Diphenhydramine Hydrochloride (CASRN 147-24-0) Feed	No	No	No
Furosemide (CASRN 54-31-9) Feed	No	No	No
2-Hydroxy-4-methoxybenzophenone - 2H4MBP (CASRN 131-57-7) Feed	No	No	Possible
Glycidol (CASRN 556-52-5) Gavage	No	No	Yes
Bromodichloroacetic Acid (CASRN 71133-14-7) Drinking water	No	No	Yes
3,3′-Dimethoxybenzidine Dihydrochloride (CASRN: 20325-40-0) Drinking	No	No	Possible
3,3′-Dimethylbenzidine Dihydrochloride (CASRN: 612-82-8) Drinking water	No	No	Possible
C.I. Direct Blue 15 (CASRN: 2429-74-5) Drinking water	No	No	Yes
Procarbazine (CASRN 366-70-1) Intraperitoneal injection	No	No	Yes
Radio Frequency radiation	NA	NA	Yes^a

^aAt frequency tested.

The limited overlap between the 15 chemicals tested by NTP that induced rodent brain tumors, and the chemicals measured in actual and simulated burn pit smoke, is to be expected as NTP selects candidate chemicals for evaluation in the expensive 2-years cancer bioassay protocol based on potential exposure to workers or the general population. The last column in Table 1, i.e., under Description, illustrates that the 15 chemicals tested by NTP that induced rodent brain tumors are commercial products.

Discussion

The most relevant result from NTP studies is that chemicals that induce brain tumors in rodents, i.e., mainly in rats, are primarily alkylating agents. Table 3 lists 55 relatively common chemicals that have been measured in burn pit smoke. Of the 55 chemicals measured, 19 are alkylating agents. Given the extensive diversity of materials thrown into military burn pits, a very large number of different chemicals would be expected to be emitted via the smoke.

Table 3.

Chemicals found in burn pit smoke.

Volatile organic compounds emitted in burn pits	Alkylating agent
Propene	Yes
Dichlorodifluoromethane (CFC 12)	Yes
Chloromethane	Yes
Vinyl Chloride	Yes
1,3-Butadiene	Yes
Bromomethane	Yes
Chloroethane	Yes
Ethanol	Yes
Acetonitrile	No
Acrolein	Yes
Acetone	No
Trichlorofluoromethane	Yes
2-Propanol (Isopropyl Alcohol)	Yes
Acrylonitrile	No
1,1-Dichloroethene	Yes
3-Chloro-1-propene (Allyl Chloride)	Yes
Trichlorotrifluoroethane	Yes
Carbon Disulfide	No
Methyl tert-Butyl Ether	No
Vinyl Acetate	No
2-Butanone (MEK)	No
Ethyl Acetate	No
n-Hexane	No
Chloroform	Yes
Tetrahydrofuran (THF)	No
1,2-Dichloroethane	Yes
1,1,1-Trichloroethane	Yes
Benzene	No
Carbon Tetrachloride	Yes
Cyclohexane	No
Trichloroethene	Yes
1,4-Dioxane	No
Methyl methacrylate	No
n-Heptane	No
4-Methyl-2-pentanone	No
Toluene	No
2-Hexanone	No
n-Butyl Acetate	No
n-Octane	No
Chlorobenzene	Yes
Ethylbenzene	No
m,p-Xylenes	No
Styrene	No
o-Xylene	No
n-Nonane	No
Cumene	No
Alpha-Pinene	Yes
n-Propylbenzene	No
4-Ethyltoluene	No
1,3,5-Trimethylbenzene	No
1,2,4-Trimethylbenzene	No
Benzyl Chloride	Yes
1,4-Dichlorobenzene	No
1,2-Dichlorobenzene	No
d-Limonene	Yes

The chemical composition of tobacco smoke serves as an exemplar of the enormous number of different chemicals produced by pyrolyzing or burning biological materials across a wide temperature range. To-date, nearly 5700 chemicals have been identified in tobacco smoke.⁸² Oxidation, reduction, addition, condensation, hydrogenation, pyrolysis, pyrosynthesis, decarboxylation, and dehydration are but a few of the many chemical reactions known to be involved in tobacco pyrolysis and incomplete combustion of tobacco.⁸³ Tobacco smoke is generated during a puff interval and during a smolder interval. The temperature that tobacco reaches during a puff is between 800 and 1000 C. The temperature that tobacco experiences during smolder is 500–650 C. Additionally, there are ageing effects and artifact formation that can occur during the sampling and testing of cigarette smoke.⁸⁴ These reactions are capable of producing thousands of reaction products. The comparison of tobacco smoke to burn pit effluent is reasonable as the temperatures experienced by both are similar and the majority (over 50–60% of the mass)⁸⁵ undergoing pyrolysis and incomplete combustion is plant material (i.e., tobacco, paper, cardboard, wood, etc.).⁸⁶ The major limiting factor in the discovery and identification of additional chemical components in tobacco smoke was always the development of new and ever-improved analytical technologies.⁸³

Previously, we analyzed all the rodent tumor types reported in the NTP database.^80,87–91 Both the limited number of chemical agents that induce rodent brain tumors (16 brain tumor-inducing agents from 602 TRs), and the preponderance of alkylating agents among the brain tumor-inducing agents are notable findings. As compared with any other organ system, the blood-brain barrier (BBB) protects the brain from exposure to chemicals administered outside the BBB. From a study on CNS active drugs, Hansch and Leo (1979)⁹² found that blood-brain barrier penetration is optimal when the logarithm of the octanol-water partition coefficient (log P) values is 1.5–2.7, with a mean value of 2.1. These data suggest that chemicals possessing log p values of about 0.5–3.0 can readily cross the blood brain barrier and enter the brain. The 15 NTP-tested chemicals that induce brain tumors in rodents generally fall within this approximate range with the exceptions of Procarbazine being water soluble with a log p = .06, and C.I. Direct Blue 15 being extremely hydrophobic with a log p = 10.2.

Compared with the large number of chemicals that induce tumors in rats and mice following metabolic activation by liver enzymes, alkylating agents are direct acting carcinogens.⁷⁹ Given the relatively low metabolic activation potential in the brain,⁹³ the direct carcinogenic action of alkylating agents might be a factor in their ability to induce brain tumors. Exposure from military burn pits would be expected to result primarily via the inhalation route, although chemicals and particles can deposit on the skin, and sometimes be ingested. The results from the NTP database suggest that alkylating agents with modest octanol-water partition coefficients can be considered as possible inducers of GBM. The epidemiology studies conducted by the VA considered GBM cases for which only general estimates of exposure were available.^71,72 Due to the concerns that led to the passage of the PACT Act,⁵⁷ future deployed veterans are unlikely to experience exposure to military burn pits. Future epidemiology studies on cohorts exposed to smoke constituents, e.g., forest fireman, should consider the potential risk from inhalation of alkylating agents.

Following a lag period post-treatment, several chemotherapy alkylating agents including: mechlorethamine, chlorambucil, cyclophosphamide, melphalan, lomustine, carmustine, and busulfan have been shown to induce secondary tumors.⁹⁴ The oral alkylating agent Temozolomide (TMZ) is the main chemotherapy agent administered following surgical resection of GBM and astrocytomas.^95,96 TMZ can induce a hypermutator phenotype, causing post-treatment recurrent GBM to accumulate (initiate) new potential driver mutations, increasing GBM’s overall mutational burden, with concomitant further treatment resistance.²³ The mutagenic potential of TMZ suggests that if the median GBM survival time of only 15–18 months⁹⁷ was extended significantly (from months to years) that induction of primary brain tumors secondary to treatment could become clinically significant. Development of efficacious treatments for post-surgical GBM that act via non-mutagenic mechanisms could potentially address at least some of the profound clinical challenges presented by recurrent GBM.

Conclusions and relevance

Identification of chemicals that could potentially increase the risk of GBM or other CNS tumors could assist clinicians and epidemiologists in future studies attempting to determine if environmental exposure to chemicals increases the risk of developing brain tumors.

Footnotes

Author contributions

JWA initiated the overall project addressing the possible relationship between military burn pit exposures and GBM and organized numerous conference calls with different ad hoc expert subgroups. SKS provided the clinical neurosurgery perspective that led to conduction of the current review and its sister study analyzing the National Toxicology Program (NTP) database for biological plausibility of chemical induction of GBM. CJS and TAP conceived the structure of the current review and the sister study analysis. CC and CV provided expertise on oncogenic mutational profiles in causation pathways. CJS and TAP performed the literature search and collated the data. All authors have read and agreed to the published version of the manuscript.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

ORCID iD

Carr J. Smith

References

MD Anderson Cancer Center . Glioblastoma 2023, https://www.mdanderson.org/cancer-types/glioblastoma.html

Thakkar

Dolecek

Horbinski

, et al. Epidemiologic and molecular prognostic review of glioblastoma. Cancer Epidemiol Biomarkers Prev. 2014; 23(10): 1985–1996. doi:10.1158/1055-9965.EPI-14-0275

Shore

Moseson

Xue

, et al. Skin cancer after X-ray treatment for scalp ringworm. Radiat Res. 2002; 157(4): 410–418. doi:10.1667/0033-7587(2002)157[0410:scaxrt]2.0.co;2

Adamson

. A simplified method of X-Ray application for the cure of ringworm of the scalp; Kienbock’s method. Lancet 1909; 173: 1378–1380.

Ron

Modan

Boice

, et al. Tumors of the brain and nervous system after radiotherapy in childhood. N Engl J Med. 1988; 319: 1033–1039. doi:10.1056/NEJM198810203191601

Waldren

Jones

Puck

. Measurement of mutagenesis in mammalian cells. Proc Natl Acad Sci U S A 1979; 76(3): 1358–1362. DOI: 10.1073/pnas.76.3.1358.

Waldren

Puck

. Steps toward experimental measurement of total mutations relevant to human disease. Somat Cell Mol Genet 1987; 13(4): 411–414. DOI: 10.1007/BF01534940.

Bougeard

Renaux-Petel

Flaman

, et al. Revisiting Li-Fraumeni syndrome from TP53 mutation carriers. J Clin Oncol. 2015; 33(21): 2345–2352. doi:10.1200/JCO.2014.59.5728

Mai

Khincha

Loud

, et al. Prevalence of cancer at baseline screening in the national cancer Institute Li-Fraumeni syndrome cohort. JAMA Oncol. 2017; 3(12): 1640–1645. doi:10.1001/jamaoncol.2017.1350

10.

Valdez

Nichols

Kesserwan

. Li-Fraumeni syndrome: a paradigm for the understanding of hereditary cancer predisposition. Br J Haematol 2017; 176(4): 539–552. DOI: 10.1111/bjh.14461.

11.

Taylor

Northcott

Korshunov

, et al. Molecular subgroups of medulloblastoma: the current consensus. Acta Neuropathol. 2012; 123(4): 465–472. doi:10.1007/s00401-011-0922-z

12.

Zhukova

Ramaswamy

Remke

, et al. Subgroup-specific prognostic implications of TP53 mutation in medulloblastoma. J Clin Oncol. 2013; 31(23): 2927–2935. doi:10.1200/JCO.2012.48.5052

13.

Rasmussen

Friedman

. NF1 gene and Neurofibromatosis 1. Am J Epidemiol 2000; 151(1): 33–40. DOI: 10.1093/oxfordjournals.aje.a010118.

14.

University of Alabama Birmingham . Inheritance and genetics of Neurofibromatosis type 1 (NF1). Understanding the NF1 mutation, 2023, https://www.uab.edu/medicine/nfprogram/learn/neurofibromatosis-type-1-nf1/inheritance-genetics

15.

Fallon

Tadi

. Histology, Schwann cells. [Updated 2023 May 1]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023. https://www.ncbi.nlm.nih.gov/books/NBK544316/

16.

Listernick

Charrow

Gutmann

. Intracranial gliomas in Neurofibromatosis type 1. Am J Med Genet 1999; 89(1): 38–44. DOI: 10.1002/(sici)1096-8628(19990326)89:1<38::aid-ajmg8>3.0.co;2-m.

17.

Rasmussen

Yang

Friedman

. Mortality in Neurofibromatosis 1: an analysis using U.S. death certificates. Am J Hum Genet 2001; 68(5): 1110–1118. DOI: 10.1086/320121.

18.

Theeler

Ellezam

Yust-Katz

, et al. Prolonged survival in adult Neurofibromatosis Type I patients with recurrent high-grade gliomas treated with Bevacizumab. J Neurol. 2014; 261(8): 1559–1564. doi:10.1007/s00415-014-7292-0

19.

Huttner

Kieran

Yao

, et al. Clinicopathologic study of glioblastoma in children with Neurofibromatosis Type 1. Pediatr Blood Cancer. 2010; 54(7): 890–896. doi:10.1002/pbc.22462

20.

Khattab

Monga

. Turcot syndrome. [Updated 2023 Jun 26]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023. https://www.ncbi.nlm.nih.gov/books/NBK534782/

21.

Surun

Varlet

Brugières

, et al. Medulloblastomas associated with an APC germline pathogenic variant share the good prognosis of CTNNB1-mutated medulloblastomas. Neuro Oncol 2020; 22(1): 128–138. DOI: 10.1093/neuonc/noz154.

22.

Pećina-Šlaus

Kafka

Salamon

, et al. Mismatch repair pathway, genome stability and cancer. Front Mol Biosci. 2020; 7: 122. doi:10.3389/fmolb.2020.00122

23.

Touat

Boynton

, et al. Mechanisms and therapeutic implications of hypermutation in gliomas. Nature 2020; 580(7804): 517–523. DOI: 10.1038/s41586-020-2209-9.

24.

Wen

Weller

Lee

, et al. Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions. Neuro Oncol 2020; 22(8): 1073–1113. DOI: 10.1093/neuonc/noaa106.

25.

Division of cancer prevention and control, Centers for Disease Control and Prevention https://www.cdc.gov/cancer/dcpc/data/index.htm#:∼:text=In_the_United_States_in_2020%2C_1%2C603%2C844_new,latest_year_for_which_incidence_data_are_available (2023).

26.

Manolio

Bailey-Wilson

Collins

. Genes, environment and the value of prospective cohort studies. Nat Rev Genet 2006; 7(10): 812–820. DOI: 10.1038/nrg1919.

27.

Demers

Heyer

Rosenstock

. Mortality among firefighters from three northwestern United States cities. Br J Ind Med 1992; 49(9): 664–670. DOI: 10.1136/oem.49.9.664.

28.

Golden

Markowitz

Landrigan

. The risk of cancer in firefighters. Occup Med 1995; 10(4): 803–820.

29.

Lee

Fleming

, et al. Race-specific cancer mortality in US firefighters: 1984-1993. J Occup Environ Med 1998; 40(12): 1134–1138. DOI: 10.1097/00043764-199812000-00014.

30.

Youakim

. Risk of cancer among firefighters: a quantitative review of selected malignancies. Arch Environ Occup Health 2006; 61(5): 223–231. DOI: 10.3200/AEOH.61.5.223-231.

31.

Bates

. Registry-based case-control study of cancer in California firefighters. Am J Ind Med 2007; 50(5): 339–344. DOI: 10.1002/ajim.20446.

32.

Kang

Davis

Hunt

, et al. Cancer incidence among male Massachusetts firefighters, 1987-2003. Am J Ind Med 2008; 51(5): 329–335. DOI: 10.1002/ajim.20549.

33.

Tsai

Luckhaupt

Schumacher

et al. Risk of cancer among firefighters in California, 1988-2007. Am J Ind Med 2015; 58(7): 715–729. DOI: 10.1002/ajim.22466, Epub 2015 May 6.

34.

Glass

Del Monaco

Pircher

et al. Mortality and cancer incidence at a fire training college. Occup Med 2016; 66(7): 536–542. DOI: 10.1093/occmed/kqw079, Epub 2016 Jul 2.

35.

Soteriades

Kim

Christophi

, et al. Cancer incidence and mortality in firefighters: a state-of-the-art review and meta-َanalysis. Asian Pac J Cancer Prev APJCP 2019; 20(11): 3221–3231. DOI: 10.31557/APJCP.2019.20.11.3221.

36.

Lee

Koru-Sengul

Hernandez

, et al. Cancer risk among career male and female Florida firefighters: evidence from the Florida Firefighter Cancer Registry (1981-2014). Am J Ind Med 2020; 63(4): 285–299. DOI: 10.1002/ajim.23086, Epub 2020 Jan 12.

37.

Musicco

Sant

Molinari

, et al. A case-control study of brain gliomas and occupational exposure to chemical carcinogens: the risk to farmers. Am J Epidemiol. 1988; 128(4): 778–785. doi:10.1093/oxfordjournals.aje.a115031

38.

Mallin

Rubin

Joo

. Occupational cancer mortality in Illinois white and black males, 1979-1984, for seven cancer sites. Am J Ind Med 1989; 15(6): 699–717. DOI: 10.1002/ajim.4700150609.

39.

Viel

Challier

Pitard

, et al. Brain cancer mortality among French farmers: the vineyard pesticide hypothesis. Arch Environ Health 1998; 53(1): 65–70. DOI: 10.1080/00039899809605690.

40.

Bhat

Wani

Kirmani

. Brain cancer and pesticide relationship in orchard farmers of Kashmir. Indian J Occup Environ Med 2010; 14(3): 78–86. DOI: 10.4103/0019-5278.75694.

41.

Fallahi

Foddis

Cristaudo

, et al. High risk of brain tumors in farmers: a mini-review of the literature, and report of the results of a case control study. Clin Ter 2017; 168(5): e290–e292. DOI: 10.7417/T.2017.2022.

42.

Piel

Pouchieu

Tual

, et al. Central nervous system tumors and agricultural exposures in the prospective cohort AGRICAN. Int J Cancer 2017; 141(9): 1771–1782. DOI: 10.1002/ijc.30879, Epub 2017 Jul 24.

43.

Ruder

Waters

Butler

, et al. Gliomas and farm pesticide exposure in men: the upper midwest health study. Arch Environ Health. 2004; 59(12): 650–657. doi:10.1080/00039890409602949

44.

Ruder

Waters

Carreón

, et al. The Upper Midwest Health Study: a case-control study of primary intracranial gliomas in farm and rural residents. J Agric Saf Health. 2006; 12(4): 255–274. doi:10.13031/2013.22013

45.

Ruder

Carreón

Butler

MA,

et al. Exposure to farm crops, livestock, and farm tasks and risk of glioma: the Upper Midwest Health Study. Am J Epidemiol 2009; 169(12): 1479–1491. DOI: 10.1093/aje/kwp075, Epub 2009 Apr 29.

46.

Yiin

Ruder

Stewart

, et al. The Upper Midwest Health Study: a case-control study of pesticide applicators and risk of glioma. Environ Health. 2012; 11: 39. doi:10.1186/1476-069X-11-39

47.

Harbo Poulsen

Arthur Hvidtfeldt

Sørensen

, et al. Components of particulate matter air-pollution and brain tumors. Environ Int 2020; 144: 106046. DOI: 10.1016/j.envint.2020.106046, Epub 2020 Aug 25.

48.

Tseng

, et al. Association between outdoor air pollution and risk of malignant and benign brain tumors: the multiethnic cohort study. JNCI Cancer Spectr 2020; 4(2): pkz107. DOI: 10.1093/jncics/pkz107.

49.

Jørgensen

Johansen

Ravnskjær

et al. Long-term exposure to ambient air pollution and incidence of brain tumours: the Danish Nurse Cohort. Neurotoxicology 2016; 552: 122–130. DOI: 10.1016/j.neuro.2016.06.003, Epub 2016 Jun.

50.

Andersen

Pedersen

Weinmayr

, et al. Long-term exposure to ambient air pollution and incidence of brain tumor: the European Study of Cohorts for Air Pollution Effects (ESCAPE). Neuro Oncol. 2018; 20(3): 420–432. doi:10.1093/neuonc/nox163

51.

Liu

Chen

, et al. Association of brain cancer with residential exposure to petrochemical air pollution in Taiwan. J Toxicol Environ Health 2008; 71(5): 310–314. DOI: 10.1080/15287390701738491.

52.

McKean-Cowdin

Calle

Peters

JM,

et al. Ambient air pollution and brain cancer mortality. Cancer Causes Control 2009; 20(9): 1645–1651. DOI: 10.1007/s10552-009-9412-1, Epub 2009 Aug 15.

53.

Raaschou-Nielsen

Andersen

Hvidberg

, et al. Air pollution from traffic and cancer incidence: a Danish cohort study. Environ Health. 2011; 10: 67. doi:10.1186/1476-069X-10-67

54.

Hvidtfeldt

Chen

Rodopoulou

et al. Long-term air pollution exposure and malignant intracranial tumours of the central nervous system: a pooled analysis of six European cohorts. Br J Cancer 2023; 129(4): 656–664. DOI: 10.1038/s41416-023-02348-1, Epub 2023 Jul 7.

55.

Weichenthal

Olaniyan

Christidis

, et al. Within-city spatial variations in ambient ultrafine particle concentrations and incident brain tumors in adults. Epidemiology. 2020; 31(2): 177–183. doi:10.1097/EDE.0000000000001137

56.

Beau Biden dies at 46 of brain cancer. 2015. https://apnews.com/general-news-d8f69eb645d74b7886387f713981b739 (accessed October 21, 2023).

57.

US Veterans Administration . The PACT Act and your VA benefits, https://www.va.gov/resources/the-pact-act-and-your-va-benefits/ (2023, accessed 11 October 2023).

58.

American Cancer Society . Military burn pits and cancer risk, https://www.cancer.org/cancer/risk-prevention/chemicals/burn-pits.html (2022, accessed 9 October 2023).

59.

Fallahi

Elia

Foddis

, et al. High risk of brain tumors in military personnel: a case control study. Clin Ter 2017; 168(6): e376–e379. DOI: 10.7417/T.2017.2037.

60.

Bytnar

Lin

Eaglehouse

, et al. Brain cancer incidence: a comparison of active-duty military and general populations. Eur J Cancer Prev. 2021; 30(4): 328–333. doi:10.1097/CEJ.0000000000000625

61.

Bytnar

Lin

Theeler

, et al. The relationship between prior psychiatric diagnosis and brain cancer diagnosis in the U.S. military health system. Cancer Causes Control 2022; 33(9): 1135–1144. DOI: 10.1007/s10552-022-01608-4, Epub 2022 Jul 15.

62.

Santana

Silva

Loomis

. Brain neoplasms among naval military men. Int J Occup Environ Health 1999; 5(2): 88–94. DOI: 10.1179/oeh.1999.5.2.88.

63.

Strand

Martinsen

Borud

. A 5-year continued follow-up of cancer risk and all-cause mortality among Norwegian military peacekeepers deployed to Kosovo during 1999-2016. Mil Med 2020; 185(1-2): e239–e243. DOI: 10.1093/milmed/usz179.

64.

Patidar

Yadav

Dalai

. Interleukin 15: a key cytokine for immunotherapy. Cytokine Growth Factor Rev 2016; 31: 49–59. DOI: 10.1016/j.cytogfr.2016.06.001, Epub 2016 Jun 7.

65.

Mathy

Scheuer

Lanzendörfer

, et al. Interleukin-16 stimulates the expression and production of pro-inflammatory cytokines by human monocytes. Immunology 2000; 100(1): 63–69. DOI: 10.1046/j.1365-2567.2000.00997.x.

66.

Brenner

Inskip

Rusiecki

, et al. Serially measured pre-diagnostic levels of serum cytokines and risk of brain cancer in active component military personnel. Br J Cancer 2018; 119(7): 893–900. DOI: 10.1038/s41416-018-0272-x, Epub 2018 Oct 9.

67.

Schlehofer

Siegmund

Linseisen

, et al. Primary brain tumours and specific serum immunoglobulin E: a case-control study nested in the European Prospective Investigation into Cancer and Nutrition cohort. Allergy 2011; 66(11): 1434–1441. DOI: 10.1111/j.1398-9995.2011.02670.x, Epub 2011 Jul 5.

68.

Calboli

Cox

Buring

, et al. Prediagnostic plasma IgE levels and risk of adult glioma in four prospective cohort studies. J Natl Cancer Inst 2011; 103(21): 1588–1595. DOI: 10.1093/jnci/djr361, Epub 2011 Oct 18.

69.

Wiemels

Wiencke

Patoka

, et al. Reduced immunoglobulin E and allergy among adults with glioma compared with controls. Cancer Res. 2004; 64(22): 8468–8473. doi:10.1158/0008-5472.CAN-04-1706

70.

Cao

Zhao

, et al. Inverse association between prediagnostic IgE levels and the risk of brain tumors: a systematic review and meta-analysis. BioMed Res Int 2015; 2015: 294213. DOI: 10.1155/2015/294213, Epub 2015 Sep 13.

71.

Bullman

Mahan

Kang

, et al. Mortality in US army gulf war veterans exposed to 1991 Khamisiyah chemical munitions destruction. Am J Public Health 2005; 95(8): 1382–1388. DOI: 10.2105/AJPH.2004.045799.

72.

Barth

Dursa

Bossarte

, et al. Trends in brain cancer mortality among U.S. gulf war veterans: 21 year follow-up. Cancer Epidemiol 2017; 50(Pt A): 22–29. DOI: 10.1016/j.canep.2017.07.012.

73.

National Toxicology Program . NTP vision & roadmap. Future directions 2016, https://ntp.niehs.nih.gov/about/vision/index.html (accessed 11 October 2023).

74.

National Toxicology Program . NTP website, https://ntp.niehs.nih.gov/ (2023, accessed 12 October 2023).

75.

Krinke

Kaufmann

Mahrous

, et al. Morphologic characterization of spontaneous nervous system tumors in mice and rats. Toxicol Pathol 2000; 28(1): 178–192. DOI: 10.1177/019262330002800123.

76.

Sahu

Barth

Otani

, et al. Rat and mouse brain tumor models for experimental neuro-oncology research. J Neuropathol Exp Neurol 2022; 81(5): 312–329. DOI: 10.1093/jnen/nlac021.

77.

Benda

Lightbody

Sato

, et al. Differentiated rat glial cell strain in tissue culture. Science 1968; 161(3839): 370–371. DOI: 10.1126/science.161.3839.370.

78.

Schmidek

Nielsen

Schiller

, et al. Morphological studies of rat brain tumors induced by N-nitrosomethylurea. J Neurosurg 1971; 34(3): 335–340. DOI: 10.3171/jns.1971.34.3.0335.

79.

Preston

Ross

. DNA-reactive agents. In: Charlene

McQueen

(eds). Comprehensive Toxicology. 2nd ed. New York, NY: Elsevier, 2010, pp. 349–360, DOI: 10.1016/B978-0-08-046884-6.00116-0.

80.

Smith

Perfetti

. The “false-positive” conundrum in the NTP 2-year rodent cancer study database. Toxicol Res Appl 2018; 2: 239784731877283. DOI: 10.1177/2397847318772839.

81.

Vietas

Taylor

Rush

, et al. Screening health risk assessment burn pit exposures, Balad Air Base, Iraq and Addendum report, https://apps.dtic.mil/sti/pdfs/ADA493142.pdf (2008, accessed 9 21 2023).

82.

Rodgman

Perfetti

. The chemical components of tobacco and tobacco smoke. 2nd ed. Boca Raton, FL: CRC Press, 2013, pp. 1–2238, DOI: 10.1201/b13973.

83.

Perfetti

Rodgman

. The complexity of tobacco and tobacco smoke. Contributions to Tobacco & Nicotine Research 2011; 24(5): 215–232, DOI: 10.2478/cttr-2013-0902.

84.

Borgerding

Klus

. Analysis of complex mixtures-cigarette smoke. Exp Toxicol Pathol 2005; 57(Suppl 1): 43–73. DOI: 10.1016/j.etp.2005.05.010.

85.

Aurell

Barnes

Gullett

, et al. Methodology for characterizing emissions from small (0.5-2 MTD) batch-fed gasification systems using multiple waste compositions. Waste Manag 2019; 87: 398–406. DOI: 10.1016/j.wasman.2019.02.031.

86.

Kim

Warren

Kooter

, et al. Chemistry, lung toxicity and mutagenicity of burn pit smoke-related particulate matter. Part Fibre Toxicol. 2021; 18(1): 45. doi:10.1186/s12989-021-00435-w

87.

Smith

Anderson

. High discordance in development and organ site distribution of tumors in rats and mice in NTP two-year inhalation studies. Toxicol Res Appl 2017; 1: 239784731771480. DOI: 10.1177/2397847317714802.

88.

Smith

Perfetti

. Tumor site concordance and genetic toxicology test correlations in NTP 2-year feed studies. Toxicol Res Appl 2017; 1: 239784731773994. DOI: 10.1177/2397847317739942.

89.

Smith

Perfetti

. Tumor site concordance and genetic toxicology test correlations in NTP 2-year gavage, drinking water, dermal, and intraperitoneal injection studies. Toxicol Res Appl 2018; 2: 239784731775114. DOI: 10.1177/2397847317751147.

90.

Smith

Perfetti

, et al. Ames mutagenicity, structural alerts of carcinogenicity, Hansch QSAR parameters (ClogP, CMR, MgVol), tumor site concordance/multiplicity, and tumorigenicity rank in NTP 2-year rodent studies. Toxicol Res Appl 2018; 2: 239784731875932. DOI: 10.1177/2397847318759327.

91.

Smith

Perfetti

. Comparison of carcinogenicity predictions by the oncologic expert system with NTP 2-year rodent study tumorigenicity results. Toxicol Res Appl 2018; 2: 239784731877112. DOI: 10.1177/2397847318771128.

92.

Hansch

Leo

. Substituent constant for correlation analysis in chemistry and biology. New York: Wiley, 1979.

93.

Ferguson

Tyndale

. Cytochrome P450 enzymes in the brain: emerging evidence of biological significance. Trends Pharmacol Sci 2011; 32(12): 708–714. DOI: 10.1016/j.tips.2011.08.005.

94.

American Cancer Society . Second cancers related to treatment, https://www.cancer.org/cancer/survivorship/long-term-health-concerns/second-cancers-in-adults/treatment-risks.html (2020, accessed 17 October 2023).

95.

Yip

Miao

Cahill

, et al. MSH6 mutations arise in glioblastomas during Temozolomide therapy and mediate Temozolomide resistance. Clin Cancer Res. 2009; 15(14): 4622–4629. DOI: 10.1158/1078-0432.CCR-08-3012. Erratum in: Clin Cancer Res. 2013; 19(16): 4543-4544.

96.

Choi

Zhao

, et al. Hypermutagenesis in untreated adult gliomas due to inherited mismatch mutations. Int J Cancer 2019; 144(12): 3023–3030. DOI: 10.1002/ijc.32054.

97.

Johns Hopkins Medicine . Brain tumor types, https://www.hopkinsmedicine.org/health/conditions-and-diseases/brain-tumor/brain-tumor-types#Typically_Benign_Brain_Tumors (2023, accessed 10 October 2023).

Alkylating agents are possible inducers of glioblastoma and other brain tumors

Abstract

Keywords

Introduction

Uncertainty of induction of glioblastoma by chemical exposures

GBM and the military environment

GBM and military burn pits

Brain tumors in rodents

Methods and results

Chemicals inducing brain tumors in rodents exposed for 2-year in NTP cancer bioassays

Determination of the chemical composition of military burn pit smoke

Discussion

Conclusions and relevance

Footnotes

Author contributions

Declaration of conflicting interests

Funding

ORCID iD

References