Abstract
Oral squamous cell carcinoma (OSCC) in non-smoking and non-drinking (NSND) individuals appears to be distinct from the traditional head and neck squamous cell carcinoma (HNSCC). The incidence of this subset is increasing, as are the number of studies examining its characteristics. NSND OSCC individuals tend to be younger (<45 years) compared to traditional HNSCC patients. The proportion of females in the NSND OSCC cohort is also higher. The tongue is the predominantly affected subsite. Studies have revealed several gene mutations and unique epigenomic profiles but no definitive genetic etiology. Transcriptomic analysis has not found any causative viral agents. Other proposed etiologies include chronic dental trauma, microbiome abnormalities, marijuana consumption, and genetic disorders. There are international efforts to determine the relative prognostic outcome of this unique cohort, but no consensus has been reached. Here, we review the incidence, demographics, subsite, possible etiologies, prognosis, and therapy implications of the NSND OSCC cohort.
Keywords: oral cancer, head and neck cancer, young, non-smokers, non-drinkers
Introduction
Historically, tobacco and alcohol consumption have been the most significant risk factors for the development of head and neck squamous cell carcinoma (HNSCC) .1,2 Despite the decline in tobacco use in the United States, the annual number of oral cavity and pharynx cancer cases has been steadily increasing.3–6 This increase is attributed to the human papillomavirus (HPV)-mediated oropharyngeal SCC epidemic in the United States over the past two decades.4,5 However, there is also an emerging population of younger, non-smoking, non-drinking (NSND) oral squamous cell carcinoma (OSCC) patients without identifiable risk factors.6 This subset of patients is distinct from the HPV-mediated oropharyngeal SCC patients as shown by a multi-institutional study that confirmed that HPV does not play a significant role in the etiology of oral tongue SCCs.7
While the exact cause has yet to be determined, the younger patient population of this distinct clinical entity has sparked interest with increasing publications focused on the topic within the head and neck cancer literature. Of note, these studies are not always directly comparable due to differences in OSCC site selection (eg, tongue), age cutoffs and definitions of non-smoking, non-drinking status. For instance, the criteria for “non-smoking” can vary between studies as never smoking, not currently smoking, or smoking less than a certain number of pack-years in a lifetime. Similarly, the criteria for “non-drinking” could be never drinking or not drinking on a daily basis. Furthermore, some investigators have equated the NSND OSCC patients with younger OSCC patients, but the younger patients in the studies are not all NSND and vice versa. Thus, age is not a perfect proxy for this atypical entity, which is known to lack the traditional risk factors of smoking and drinking. This highlights the need for a consensus on the parameters that define the NSND group for future studies. In this contemporary review, we provide an accessible overview of oral cavity cancer in younger, NSND patients, including a review of the entity’s incidence, demographics, subsite involvement, possible etiology, prognosis, and implications for therapy.
Incidence
Because the NSND OSCC entity has not yet been clearly defined (as discussed above), no study has directly analyzed the incidence of NSND OSCC, specifically. However, the available studies have shown an increase in the proportion of NSNDs among OSCC cases, and others have shown an overall rise in OSCC incidence, which suggests an increase in the incidence rates of NSND OSCC. The rising rate of OSCC in younger patients within the United States population was likely first reported by Shemen et al. in 1984 in a letter to the editor of JAMA stating an unusual increase in the proportion of young men (< 40 years) treated for OSCC at Memorial Sloan-Kettering Cancer Center from 1955 to 1982.8 Subsequently, Myers et al. from M.D. Anderson reported single institution data that showed an increase in the percentage of young adults with oral tongue SCC from 4% in 1971 to 18% in 1993.9 In 1996, Atula et al. in Finland were perhaps the first to study the proportional rise of OSCC in younger patients without traditional risk factors at the population level. They noted that the proportion of younger patients with SCC of the oral tongue increased from 3% in the 1950’s to 7% in the 1980’s.10 This proportional increase of younger patients with tongue cancer within Nordic countries has subsequently been confirmed with cancer registry data.11,12 Analysis of data from the Surveillance, Epidemiology and End Results (SEER) database also confirmed the rise of OSCC cases among young individuals in the United States.3,6,13 Tota et al. found an increased incidence of oral tongue cancer for both men (annual increase 0.7%, P = 0.02) and women (annual increase 1.7%, P < 0.001) using SEER data from 1973 to 2012.13 Of note, smoking and drinking status is incompletely reported in the SEER database, which limits the findings of SEER studies to some extent. Finally, a global study using data from 22 international cancer registries consistently found that the incidence increase was higher in women than men (in 11 of the 22 registries studied) and in younger patients less than 45 years old (14 of the 22 registries).14 Taken together, these studies so far suggest a global increase in incidence of OSCC in younger patients.
Demographics
The characteristics of the “typical” OSCC patient have slowly evolved over the last few decades. While a white male in his seventh decade of life with a long history of tobacco and alcohol abuse continues to be a common OSCC patient in the U.S., OSCC is now presenting frequently in patients without these characteristics. Population level data suggests an increase in the incidence of OSCC in both men and women under the age of 40.3,6,13 When analyzed as a distinct population, the NSND OSCC patient is three times more likely to be female compared to patients with significant past or current smoking and alcohol use (which, herein, we refer to as the “ever smoker, ever drinker” (ESED) OSCC patients) who are twice as likely to be male.15–19 There is also a significant age difference in the two presenting populations with some studies suggesting a bimodal age distribution of 40–59 and 70–79 years of age for the NSNDs compared to the single peak of 60–69 years in the ESEDs described by prior authors.15,20 However, more commonly, authors refer to the NSND OSCC group as being less than 40 or 45 years old.3,6,9,13,17,21 Multiple studies have described the NSND OSCC patient as more likely to be non-Hispanic white.3,6,13,20 Indeed, SEER data has shown that the incidence of oral cavity cancer in patients less than 40 is increasing among White individuals only.3,6,13 Finally, personal income or education level has not shown any association with the development of NSND oral cavity cancer.20 However, these conclusions may be limited by variations in the definitions of nonsmoking and non-drinking between papers.
Subsite Involvement
The oral tongue tends to be the most common oral cavity subsite in NSND OSCC patients.15–17,20,22 A study examining only young patients (18 – 39 years) with HNSCC found NSND patients to be significantly more likely to have oral tongue tumors (57% vs. 24%, P < .001).18 In a retrospective analysis of 881 patients, Perry et al. found a statistically significant difference in tumor location within the oral cavity between non-smokers and those who currently or previously smoked. Tumors of the lateral tongue were proportionately more common in nonsmokers (66%) than current or ex-smokers (35%) (p <.001).22 This was replicated by Li et al. who reported that virtually all 53 non-smokers with OSCC had tumors arising from the lateral border of the tongue.23 Similarly, a cohort study by Dahlstrom et al. with 172 NSND patients found the most common subsites to be oral tongue, mandibular alveolus, buccal, and maxilla. Notably, floor of mouth malignancies were particularly rare (1.4%) in the NSND group compared to the ESED group (24.9%).20 These studies are supported by the previously mentioned SEER studies, which show that the number of younger patients with OSCC of the tongue specifically has been increasing in the United States since that database was created in the 1970s.3,6,13 Ultimately, the oral tongue appears to be the most common subsite for younger, NSND OSCC patients. However, it is important to note that the precise definition of anatomical subsites can vary between providers and institutions, leading to possible variation in the distribution of anatomic locations of lesions reported between articles.
Etiology
Despite increasing efforts to study the new entity, the exact cause of OSCC in younger, NSND patients remains unknown. The upcoming sections explore possible etiologies including dental trauma, genomics, viruses, microbiome, and toxins.
Dental Trauma
Both preclinical and clinical studies have demonstrated the positive association between wound repair, chronic inflammation and the development of cancer.24,25 Molecular analyses have highlighted similar gene expression and molecular pathway activation between wound healing and tumorigenesis.24,26 Moreover, chronic trauma triggers inflammation that result in oxidative DNA damage, which increases the possibility of malignant transformation of cells.27,28
As tumors of the oral cavity commonly arise from sites of potential chronic dental trauma (CDT), such as the lateral tongue, CDT has been proposed as a possible etiology of oral cancer in patients lacking the classical risk factors such as smoking and drinking.22,29 CDT may be due to ill-fitting dentures, broken or sharp teeth, faulty dental restorations, or dental implants.Dahlstrom et al20 compared 172 NSND head and neck squamous cell carcinoma (HNSCC) patients with 1131 ESED HNSCC patients. Based on their demographics data, they concluded that the oral cavity subsite in NSND HNSCC patients depended on age and gender, with oral tongue cancer more common in women under 50 years and gingivobuccal cancer in women 70 years or older. CDT from ill-fitting dentures primarily affect the gingivobuccal area and thus, has been proposed as an etiology for gingivobuccal cancer in elderly NSND OSCC patients.22,27,29 To our knowledge, there are no animal models that study the pathophysiology of chronic oral trauma leading to OSCC development. Investigations thus far are limited to retrospective studies. To further elucidate the relationship between CDT and OSCC, thorough documentation of dental trauma history in patients with OSCC is needed, as well as animal models to study the causative role of CDT.
Genomics
The atypical non-smoking OSCC entity appears to have a distinct epigenetic profile that distinguishes it from the traditional OSCC. Brennan et al. performed unsupervised clustering on the methylation profiles of 528 HNSCC patients and identified five distinct subtypes: one HPV positive subtype, two smoking-related subtypes, and two atypical subtypes.30 One of the atypical subtypes was genomically stable with widespread DNA hypermethylation-related gene silencing, hence called ‘CpG island methylator phenotype’ (CIMP)-atypical subtype. The CIMP-atypical subtype was composed of more non-smokers than the other subtypes and was 98% HPV-negative. They also found that the CIMP-atypical subgroup had enrichment of genes in the interferon (IFN) pathways and an overexpression of CD274 (PD-L1) and PDCD1LG2 (PD-L2). Enrichment in the genetic signature for IFN-γ response and immune checkpoint ligands, such as PD-L1, in NSND OSCC tumors have been seen in other studies as well.31,32 Given that IFNs are strong modulators of antiviral immunity, viral etiologies have been proposed for the atypical OSCC group.33,34 Investigations into viral etiologies are discussed in later sections.
Analysis of the CIMP-atypical tumors found an increased incidence of mutations in the gene encoding caspase 8 (CASP8).30 In fact, nearly all of the TCGA HNSCC tumors that harbored CASP8 mutations segregated to the CIMP-atypical subgroup. CASP8 is a critical component of the apoptosis and necroptosis cascades and contributes to the death-inducing signaling complex.35 Loss of CASP8 expression has been documented in other cancers, including small-cell lung cancer, brain tumors, neuroendocrine cancers, and more.36 Prior whole exome sequencing of patients with HPV-negative OSCC found that these tumors frequently present with CASP8 mutations that co-occur with FAT1 mutations.37 These data point to a unique pathway by which NSND patients may develop OSCC that requires further exploration and validation.
Of note, conflicting data exists for copy number analysis and mutational burden profiles of NSND OSCC patients. Pickering et al. performed whole-exome sequencing and copy-number analysis of oral tongue tumors from 29 non-smoking young patients (ages <45 years old) and 86 older patients who have a history of smoking (ages >45 years old). Their data revealed similar gene-specific mutations and copy-number alteration frequencies between the two groups, despite differences in smoking prevalence.38 Based on their data, the mutational signature from tobacco smoking is not prominent in tumors of the tongue. Li et al., also performed exome sequencing of tumor DNA and similarly found no difference in overall mutational burden between smoking (n= 36) and non-smoking (n=53) OSCC groups.23 However, there exist other studies that suggest nonsmokers harbor fewer mutations compared to smokers.30,39,40
Regarding the TP53 gene, some studies found TP53 expression to be comparable between the two groups, while other studies concluded that p53 abnormalities are less frequent in OSCCs of young patients.23,41,42 Non-smoking patients with TP53 mutations had higher tumor-node-metastasis (TNM) stage, worse tumor differentiation, earlier recurrence, and poorer survival than those without mutations.43 Other cell cycle proteins such as p21, Rb and MDM2 were also not found to be differentially expressed.41 In one study comparing NSND (n = 59) to ESED (n = 117) patients using a targeted panel of 68 genes, the NSND cohort had a greater proportion of CDKN2A mutations, EGFR amplifications, and BRCA2 deletions (11.9% vs 1.7%, p =0.007).44 PIK3CA mutation, CDKN2A deletion, and EGFR amplification were significantly associated with worse survival in univariate analyses. However, none of these gene mutations was significant in multivariable survival analysis accounting for clinicopathologic variables.44
In summary, there has been much progress to genomically characterize NSND OSCC as distinctly different from the traditional OSCC, but the available studies are not all consistent and no definitive genetic etiology has been identified. On an epigenetic level, there seems to be widespread CpG island methylation and gene silencing. On a genomic mutational level, there are differences in specific gene mutational frequencies, such as CASP8. Interestingly, genomic analysis of OSCC tumors from non-smokers showed evidence of a more robust IFN-γ response and activation of immune checkpoint ligands, pointing to the possibility of viruses as the pathogenic cause of OSCC.
Viruses
Given the relatively young age and lack of tobacco and alcohol carcinogen exposure in the unique OSCC entity, viral etiologies have been explored. As previously mentioned, this is supported by the finding that multiple IFN-γ pathway genes are upregulated in tumors of young patients, and interferons are strong modulators of antiviral immunity.23,33,34 Viruses, such as the Epstein–Barr Virus (EBV) and HPV, have a well-established association with head and neck cancer. In a meta-analysis of 13 case-control studies, She et al. found an association between EBV infection and OSCC with an odds ratio of 5.03 (95% CI 1.80–14.01).45 Additional mechanistic research into how EBV infection induces OSCC tumorigenesis is required, but current studies implicate EBNA-1, EBER-2, and especially LMP-1 as oncoproteins.46
HPV has been implicated as a clear driver of tumor formation in oropharyngeal SCC, however its role is not clear in the NSND OSCC group.47–49 HPV infection can result in p16INK4a (p16) overexpression on immunohistochemistry. In one study, NSND OSCC was found to have more frequent and greater p16 expression compared to OSCC in smokers/drinkers, and p16 expression was correlated with a worse prognosis in these NSND OSCC patients.48 While the overexpression of p16 is supportive of HPV infection, it does not confirm HPV infection, as there are other mechanisms that can result in p16 overexpression. Zafereo et al. found that 30% of oral cavity SCC patients had p16 overexpression, with more prominent expression in younger patients with oral tongue tumors. However, in situ hybridization analysis found that very few tumors were HPV-positive.50 Another study by Lingen et al. utilizing RT-PCR corroborated these findings and found that only 5.9% of OSCC tumors were positive for HPV-E6/7, with 3.7% positive for HPV16, and 2.2% positive for any other HPV variant.7
More specifically, in NSND patients with OSCC, Laco et al. published an analysis comparing OSCC and oropharyngeal SCC (OPSCC) finding that p16 expression was detected in 29% of OSCC tumors compared to 100% of OPSCC tumors in this patient population of individuals with no history of smoking or chronic alcohol abuse.51 Furthermore, only 25% of NSND OSCC tumors had high risk (HR) HPV DNA and only 13% had HPV DNA.51 These findings are supported by a more recent analysis by Perot et al. showing HR-HPV DNA is present in only 4.4% (3/68) of OSCC samples analyzed. Only 1 of these samples actually had the presence of viral transcripts.52 Thus, despite the potential correlation of p16 overexpression and prognosis of NSND OSCC48, there is little evidence to suggest HPV has a role in carcinogenesis within NSND OSCC.49
Traditionally, ɑ-HPV has been thought to be a driver of carcinogenesis in HNSCC, but recent data suggest that beta-papillomaviruses (β-HPV) may possibly play a role in inducing tumorigenesis but may not be as essential for tumor maintenance.53 Perot et al. found that 41.2% of OSCC samples had HPV DNA, and 90.9% of these DNA samples belonged to β-HPV. Indeed, one study of HPV in HNSCC found that β1-HPV-5 was associated with oral cavity, oropharyngeal, and laryngeal SCC.53 β-HPV naturally can be found in various parts of the human body as a commensal, including the skin. β-HPV has been implicated to have a role in skin carcinogenesis that can lead to cancers like cutaneous SCC, especially in immunosuppressed or immunocompromised individuals.54 More preclinical and clinical studies are needed to investigate the role of β-HPV in OSCC carcinogenesis.
Even after using three different algorithms (MapSplice, PathSeq and Trinity) to probe the genomic and epigenomic landscape of oral tongue tumors from smoking and non-smoking patients, no causative viral agents were identified.23 Because viral genome integration has not been detected in NSND OSCC tumors, prior authors have hypothesized a “hit and run” viral mechanism. The “hit and run” theory proposes that oncogenic viruses can integrate into the host cell genome, triggering epigenome deregulation. The epigenome deregulation leads to gene expression changes that can result in carcinogenesis. Subsequently, the viral genome is lost in host cell progeny and thus becomes undetectable at the time of clinical diagnosis.23,55 Further investigations to detect epigenetic signatures of previous viral infections may be able to support the “hit and run” hypothesis.
Fanconi anemia
Fanconi anemia (FA) is a group of genetic disorders characterized by defects in the cells’ normal response to DNA damage. FA can be inherited as autosomal recessive, autosomal dominant, or X-linked recessive depending on the mutations involved.56 FA results in congenital defects, endocrine abnormalities, bone marrow failure, and a predisposition to developing acute myelogenous leukemia (AML), as well as a multitude of solid malignancies. There is a greater than 500-fold increase in the incidence of HNSCC in FA patients relative to the general population.57 FA has been proposed as a possible etiology in NSND OSCC patients because patients with FA are more likely than the general public to develop OSCC in young adulthood without smoking or drinking risk factors.58 Due to the heterogeneity in symptoms of FA, some FA patients can present with a milder phenotype and go undiagnosed. In the population of younger, NSND OSCC patients, it can be useful to screen for anemia, endocrine disorders, or congenital defects to evaluate for FA.59 Moreover, if available, genetic testing for FA can help provide definitive diagnosis while offering a possible explanation for the origin of a patient’s HNSCC.56 Additional studies on NSND patients with FA may elucidate the influence of FA on OSCC carcinogenesis.
Microbiome
Although smoking and drinking have been long known to disrupt the oral microbiome, there is a paucity of studies linking the microbiome to the NSND OSCC entity. The microbiome has been an increasingly important topic in the field of cancer biology, and the oral microbiome is particularly relevant to OSCC pathology. Smoking is thought to make the oral microbiome more pro-inflammatory while also depleting commensal bacteria. Specifically, an increase in Fusobacterium, Mogibacterium, and Tannerella were observed with a loss of Neisseria, which are commensal bacteria that can have protective effects on oral mucosa.60 Alcohol usage increases OSCC-associated bacteria, such as the Campylobacter species.50 Smoking in conjunction with alcohol use was found to produce increased acetaldehyde in saliva, which is associated with carcinogenesis.60 Additional factors that can alter the oral microbiota and potentially contribute to OSCC formation include viral (eg, HPV) infections and certain sexual behaviors.55 Given this, the oral microbiome has been hypothesized to have a major role in the pathogenesis of OSCC in NSND patients as well.
One study analyzed the mRNA expression of the oral microbiome in non-smoking, HPV-negative OSCC patients and found more virulence factor transcripts associated with Fusobacterium along with greater biosynthesis, chemotaxis, iron transport, and more activities in the tumor site.61 Additionally, a study of 16S rRNA in non-smoking, HPV-negative OSCC by Ganly et al. found enrichment of Fusobacterium, Prevotella, and Alloprevotella (all periodontal pathogens) compared to healthy controls.62 The authors also observed a loss of commensal bacteria in OSCC patients regardless of alcohol consumption.62 The influence of the microbiome and potential mechanism by which the enriched pathogens contribute to OSCC formation in NSND have not yet been determined.
Overall, there is a paucity of data evaluating the oral microbiome of NSND OSCC patients, but existing analyses suggest that multiple factors can disrupt the oral microbiome in both smokers and non-smokers, resulting in an enrichment in pathogenic bacteria, such as Fusobacterium. Additional studies that directly compare smoking and drinking OSCC samples to NSND OSCC samples are necessary to evaluate the role of the microbiome in the oncogenesis of NSND OSCC.
Marijuana
Marijuana is another potential risk factor of HNSCC, in general, that has been under investigation. The cigarette-adjusted risk of general HNSCC for marijuana users was 2.6, with an observed dose-response relation.63 A cross-sectional study of 530 oral cavity and oropharyngeal SCC patients found that 13.2% were marijuana users, and 2.3% of patients were solely marijuana and not tobacco smokers.64 One case-control analysis of 173 HNSCC found an increased risk of HNSCC in marijuana users compared to never users (OR 2.6, CI 1.1–6.6) after adjusting for age, sex, race, education, alcohol consumption, and cigarette smoking.65 The oral microbiome may also be involved in marijuana’s influence on OSCC formation, and in tongue SCC samples from marijuana users (not adjusting for cigarette smoking or alcohol usage), a reduction of Capnocytophaga, Fusobacterium, and Porphyromonas and elevation of Rothia was observed.66 Interestingly, the reduction in Fusobacterium observed in this study was in direct contrast to the elevation observed in other microbiome analyses of the oral cavity for patients with OSCC.61,62
The role of marijuana in the NSND OSCC group is not yet clear. Dahlstrom et al. report in their analysis of 67 NSND and 48 ESED OSCC patients, only 3% of NSND patients were positive for serum Δ9-tetrahydrocannabinol, the active ingredient of marijuana, compared to 6% of ESED patients, suggesting that marijuana is unlikely to be the etiology of carcinogenesis in NSND OSCC patients.20 Additionally, a case-control study of 407 cases of OSCC and 615 controls concluded that after adjustment for alcohol consumption, cigarette smoking, and other possible confounding factors, the adjusted odds ratio for risk of OSCC after marijuana use was not statistically significant.67 These results suggest that marijuana use on its own may not be relevant to OSCC development in NSND patients.
Betel Quid
Betel nut or quid is a prevalent recreational substance globally, especially in South and Southeast Asian countries, that has been linked to OSCC carcinogenesis. Betel nut chewing on its own without tobacco additives is a well-established risk factor for OSCC and thus, will not be the focus of this review.62,63 Yet, it is prudent to note its importance as a risk factor for OSCC in NSND patients, especially in Southeast Asia. A meta-analysis of Southeast Asian studies of OSCC risk factors found that betel quid chewing in non-smoking and non-drinking patients, had a pooled odds ratio of 7.90 (95% CI 6.1–9.30).64 These data suggest that betel quid chewing, especially in regions of high prevalence, can partially explain the etiology of NSND OSCC.
Prognosis
A consensus has yet to be reached for the prognosis of OSCC NSND patients compared to those with traditional smoking and drinking risk factors. Many groups have used age to identify the atypical cohort, with individuals <40 or <45 years identified as part of this group. A number of retrospective studies suggest worse oncologic outcomes for younger OSCC patients compared to older patients,68–72 while other studies conclude that younger patients have better survival.68,73–75 That said, a growing number of studies are seeing no difference in survival outcomes of young vs old patients.69,76–79 Although it is true that patients in the NSND OSCC group tend to be younger on average than the patients in the traditional OSCC group, not all young patients <45 years lack smoking and drinking history. Thus, studies that divide the cohorts based on age still have a significant proportion of the young cohort patients with smoking and drinking history. Similarly, there is also a significant number of older OSCC patients without smoking and drinking history. A comparison of patients with smoking and drinking history to those who lack smoking and drinking risk factors can be difficult due to lack of thorough documentation. Herein, we describe the studies that compare OSCC patients with traditional smoking and drinking risk factors to those who do not have the risk factors. These studies are summarized in Table 1.
Table 1-.
Author | No. of Subjects | Definition of NSND | Anatomical Subsites in Non-Smokers | Analysis | Conclusions | Reported Data |
---|---|---|---|---|---|---|
Andersen et al. (PMID: 35114883) 2022 | Never smokers (n =240) Former smoker (n = 339) Current smoker (n = 1138) |
Non-smoker = never smoked a cigarette No analysis of drinking |
Tongue = 53.8% Gingiva = 21.3% Floor of mouth = 7.9% Other = 15.8% Unknown = 1.3% |
Kaplan-Meier Log-rank test Multivariable Cox regression |
- Non-smokers have better OS and DFS - Dose dependent relationship between accumulated amount of tobacco use and survival estimates |
5-year OS HR (95% CI) Never smoker 1 (ref) Current smoker 1.83 (1.38–2.42) Former smoker 1.32 (0.98–1.77) 5-year DFS HR (95% CI) Never smoker 1 (ref) Current smoker 1.32 (1.04–1.68) Former smoker 1.17 (0.90–1.51) |
Adeoye et al. (PMID: 33991259) 2021 | NSND (n=171) ESED (n=142) |
Non-smoker = no history of tobacco smoking Non-drinker = no history of alcohol consumption |
Tongue = 52.6% Gingiva = 22.8% Floor of mouth = 1.8% Buccal = 18.7% Retromolar = 2.3% Hard palate = 1.8% |
Kaplan- Meier Log-rank test Multivariable Cox regression |
- NSND have better OS - No difference in RFS and DSS |
5-year OS HR (95% CI) ESED 1 (ref) NSND 0.47 (0.29–0.75) 5-year DFS HR (95% CI) ESED 1 (ref) NSND 1.14 (0.42–3.05) |
Yang et al. (PMID: 34262853) 2021 | NSND (n = 86) E SED (n = 267) |
Non-smoker = ≤100 cigarettes in lifetime Non-drinker = drank wine no more than once every 2 weeks |
Tongue = 43% Gingiva = 26.7% Floor of mouth = 7% Buccal = 23.3% |
Kaplan-Meier Log-rank test Multivariable Cox regression |
- NSND have better LRC and DSS | 5-year LRC NSND 48% ESED 38% (p=0.048) 5-year DSS NSND 56% ESED 39% (p=0.047) |
Koo et al. (PMID: 33804510) 2021 | NSND (n = 59) E SED (n = 117) |
Non-smoker = <100 cigarettes in lifetime Non-drinker = <1 standard drink per week |
Subsites not reported | Kaplan-Meier Log-rank test Multivariable Cox regression |
- No difference in OS | 5-year OS HR (95% CI) ESED 1 (ref) NSND 1.1 (0.6–2.1) |
Bao et al. (PMID: 32031313) 2020 | NSND (n = 646) ESED (n = 519) |
Non-smoker = <10 pack-years of cigarette use Non-drinker = <7 drinks per week continuously for at least 1 year |
Subsites not reported | Kaplan-Meier Log-rank test Multivariable Cox regression |
- NSND have better OS and DSS | All-cause death HR (95% CI) NSND 1 (ref) ESED 1.897 (1.138–3.165) Oral cancer-specific death HR (95% CI) NSND 1 (ref) ESED 1.764 (1.043–2.983) |
DeAngelis et al. (PMID: 30409291) 2018 | NSND (n=70) ESED (n=217) |
Non-smoker = <5 cigarettes/week in lifetime Non-drinker = <3 standard drinks/week in lifetime |
Tongue = 51.2% Gingiva = 19.5% Floor of mouth = 9.8% Buccal = 7.0% Retromolar = 19.5% Hard palate = 3.9% Vestibule = 0.8% |
Kaplan-Meier Log-rank test Multivariable Cox regression |
- Worse DSS in elderly NSND females compared to elderly SD patients. Otherwise, similar DSS in NSND vs ESED - NSND have higher recurrence rates |
5-year DSS HR (95% CI) Age-matched female ESED 1 (ref) Elderly female NSND 2.97 (1.47–10.1) 5-year recurrence NSND 42.9% ESED 27.6% (p = 0.005) |
Dediol et al. (PMID: 26993152) 2016 | NSND (n = 103) ESED (n = 971) |
Non-smoker = <10 packs per year Non-drinker = not daily alcohol consumption |
Tongue = 42% Gingiva = 25% Floor of mouth = 17% Buccal = 10% Retromolar = 4% Hard palate = 3% |
Kaplan- Meier Log-rank test Multivariable Cox regression |
- No difference in DSS, recurrence and metastasis | Cumulative survival HR (95% CI) NSND 1 (ref) Smoking 1 (0.98011.0124) Alcohol 0.63(0.2213 – 1.7762) |
Fang et al. (PMID: 24820715) 2014 | Never smoker (n = 66) Ever smoker (n = 66) Current smoker (n = 66) |
Non-smoker = 100 cigarettes in lifetime Non-drinker = never drank alcohol weekly for a year |
Tongue = 48.5% Gingiva = 18.2% Floor of mouth = 15.2% Buccal = 6.1% Lip = 12.1% |
Matched-pair Kaplan-Meier Log-rank test |
- Better RFS and DSS in never smokers than ever smokers - Smoking increased risk for disease- related death by 5-fold |
Significant RFS rates in ever smokers vs never smokers (P = 0.006) Significant DSS rates in ever smokers vs never smokers (P = 0.027) |
Fan et al. (PMID: 25374224) 2014 | NSND (n = 54) ESED (n = 46) |
Non-smoker = negligible history of tobacco use Non-drinker = <1 alcohol consumption per day with no history alcohol abuse |
Mobile tongue = 74.1% Other sites = 25.9% |
Kaplan-Meier Log-rank test |
- Nodifference in DFS or OS | 5-year OS NSND 76.7% ESED 73.9% (p=0.823) 5-year DFS NSND 61.4% ESED 60.4% (p=0.482) |
Bachar et al. (PMID: 21167767) 2010 | NSND (n=116) ESED (n=175) |
Non-smoker = less than daily smoking history Non-drinker = ≤3 drinks per day |
Tongue = 100% | Kaplan-Meier Log-rank test Multivariable Cox regression |
- No difference in DFS and OS - However, young(<40 years) NSND have worse OS and DFS than young ESED - ESED have greater tumor depth of invasion and higher tumor grade |
5-year OS NSND 64% ESED 68% (p=0.53) 5-year DFS NSND 57% ESED 59% (p= 0.526) 5-year OS Young NSND 89% Young ESED 55% (p = 0.015) |
5-year DFS Young NSND 77% Young ESED 50% (p = 0.038) |
Abbreviations: CI, confidence interval; HR, hazard ratio; NSND, non-smoking and nondrinking; ESED, ever-smoker and ever-drinker; OS, overall survival; DFS, disease-free survival; LRC, locoregional control; DSS, disease-specific survival; RFS, recurrence-free survival
The majority of studies comparing the prognosis of NSND vs ESED OSCC patients found that NSND patients have better or similar survival outcomes.44,48,80–86 Andersen et al. compared the survival of never-smokers (n=240) to current (n=1138)/former smokers (n=339) with OSCC.80 After adjusting for excessive alcohol consumption, they found that overall survival (OS) was worse for current smokers (hazard ratio [HR] 1.83, 95% CI 1.38−2.42) and former smokers (HR 1.32, 95% CI 0.98−1.77) compared to never-smokers. Similarly, disease-free survival (DFS) was worse for current smokers (HR 1.32, 95% CI 1.04−1.68) and former smokers (HR 1.17, 95% CI 0.90−1.51) compared to never-smokers. Furthermore, the effect was dose dependent; with a higher accumulated tobacco exposure correlating with poorer OS and DFS. Similarly, a study looking at 646 NSND OSCC patients compared to ESED OSCC patients, matched for age, gender, occupation, education level, residence, BMI, TNM stage, and pathological type, found that NSND patients had improved all-cause mortality and oral cancer-specific mortality.83
A number of studies suggest NSND patients have similar outcomes as ESED patients.17,44,48,85,86 Dediol et al. defined NSND as patients who smoked less than 10 pack-years and did not drink alcohol on a daily basis. Their multivariable analysis showed no difference in DSS, recurrence or metastasis based on smoking or drinking status. However, HPV and p16 expression were negative predictive factors.48 Similarly, Bachar et al. studied patients with oral tongue SCC who had heavy tobacco smoking and alcohol abuse history compared to those without and found no difference in 5-year local and regional control rates or 5-year OS.86 Those with heavy smoking and drinking history did, however, have significantly greater tumor depth of invasion and higher tumor grade. Interestingly, when further partitioning the NSND group by age, young (<40 years) NSND patients had significantly worse OS and DFS compared to young ESED patients. Of note, they defined the risk factor group as those who smoked daily and drank alcohol for >3 drinks/day. Studies have used different smoking and drinking cutoffs to categorize NSND, which could contribute to differing study outcomes. Several studies set 100 cigarettes as the threshold; those who have smoked less than 100 cigarettes in their lifetime are categorized as never-smoker.44,82–84 It may be difficult to consistently use this criteria in future retrospective work because the number of lifetime cigarettes is difficult to ascertain from medical records.
Over the last several decades, significant efforts have been made to understand the prognosis of OSCC patients who lack smoking and drinking risk factors. Most of these studies so far are retrospective and suggest similar or better prognosis in the NSND group compared to the ESED group (Table 1).
Implications for therapy
As NSND patients with OSCC represent a growing population, there is a need to determine if special consideration should be given to optimize treatment modalities. Prior analysis of “CIMP-atypical” HNSCC patients found greater tumor infiltrating leukocytes in this subset, suggesting immunotherapy may be a useful approach to therapy for these patients.30 These tumors also showed an enrichment in PD-L1 expression, pointing to checkpoint blockade of the PD-1/PD-L1 axis as a therapy that could be tested.30,87 However, the increased inflammation may also point to enhanced immune resistance. Ultimately, as the NSND OSCC population grows, rigorous clinical studies of different treatment protocols compared to the existing standard of care are necessary to validate new therapeutic approaches.
Conclusions
Decades of work have been dedicated to characterizing and understanding the NSND OSCC entity. OSCC in the NSND population is becoming increasingly prevalent and presents more commonly in younger patients compared to other OSCC counterparts. Here, we have reviewed traits of the NSND OSCC patient population, key characteristics of the pathology, and different proposed etiologies, including genetic mutations, viral infection, dental trauma, microbiome differences, Fanconi anemia, and recreational drug consumption. We highlight the need for consensus in the specific definition of the NSND OSCC cohort to allow for consistency and comparability of data. The more we can understand about the characteristics of the NSND OSCC entity, the better we can tailor treatments and preventative measures in the future.
Highlights.
Incidence of nonsmoking/nondrinking related oral cancer is increasing
Patients tend to be younger and have more females than traditional cohort
The etiology of this atypical subset of oral cancers is not known
Consensus definitions for this emerging subset are needed
Acknowledgements:
This review was supported in part by funding from the NIH to J.B.S. (R35 DE030054).
Biographies
Quan Le Tran is an Internal Medicine resident at Stanford Healthcare who completed her medical training at Stanford University School of Medicine.
Sainiteesh Maddineni is a medical student at Stanford School of Medicine with interests in head and neck surgery and cancer immunotherapy.
Ethan “Hunter” Arnaud is an Assistant Professor in the Department of Otolaryngology - Head & Neck Surgery at Vanderbilt University Medical Center.
Vasu Divi is an Associate Professor of Otolaryngology - Head & Neck Surgery at Stanford University School of Medicine. His clinical interests are oral cavity carcinoma, advanced cutaneous malignancies, and microvascular reconstruction. His research focus is on the use of neoadjuvant immunotherapy in advanced squamous cell carcinoma.
Uchechukwu C. Megwalu is a Professor of Otolaryngology – Head & Neck Surgery, and Chief of the Comprehensive Otolaryngology Division at Stanford University School of Medicine. His clinical interests include thyroid and parathyroid disorders, head and neck tumors, sinusitis, and chronic ear disorders. He conducts outcomes/health services research, with special focus on health disparities, head and neck cancer epidemiology, and comparative effectiveness research.
Michael Topf is an Assistant Professor in the Department of Otolaryngology - Head and Neck Surgery at Vanderbilt University Medical Center. His clinical interests include the surgical management and reconstruction of mucosal head and neck cancer including transoral robotic surgery (TORS).
John B. Sunwoo is the Edward C. and Amy H. Sewall Professor in the School of Medicine and the Department of Otolaryngology – Head & Neck Surgery at Stanford University. His clinical interests are in melanoma, thyroid malignancies, and oral cancer. His research is focused on understanding immune responses to cancer and mechanisms of cancer initiation.
Footnotes
CRediT Author Statement
Quan Tran: Writing - Original Draft, Methodology, Investigation, Data Curation, Visualization
Sainiteesh Maddineni: Writing - Original Draft, Methodology, Investigation, Data Curation, Visualization
Ethan Hunter Arnaud: Writing - Original Draft, Investigation
Vasu Divi: Writing - Review & Editing
Uchechukwu Megwalu: Writing - Review & Editing
Michael C. Topf: Conceptualization, Writing - Original Draft, Methodology, Supervision, Project Administration
John B. Sunwoo: Conceptualization, Writing - Original Draft, Methodology, Supervision, Project Administration, Resources
Conflict of Interests: The authors have no conflicts of interest to disclose.
Declaration of Interests
None of the authors has any related financial or personal conflict of interest to declare or disclose. No AI assisted technology was used in the preparation.
Search Strategy and Selection Criteria:
References for this Review were identified through searches of PubMed with various key search terms, including “non-smoking, non-drinking oral cancer”, “young oral cancer”, “NSND OSCC”, “non-smoker OSCC”, “non-smoker HNSCC”, “non-drinker OSCC”, “non-drinker HNSCC”, and other similar combinations. No date limitations were applied. Articles were selected via manual review by the authors, and only papers published in English were reviewed. The final reference list was generated to cover the broad spectrum of findings and opinions on the topic discussed.
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Data Availability:
Not applicable to this narrative review.
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Data Availability Statement
Not applicable to this narrative review.