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ORIGINAL RESEARCH article

Front. Oncol., 15 November 2022
Sec. Head and Neck Cancer
This article is part of the Research Topic Women in Head and Neck Cancer, volume II: 2022 View all 6 articles

The prognostic role of sex and hemoglobin levels in patients with oral tongue squamous cell carcinoma

Marta Tagliabue,&#x;Marta Tagliabue1,2†Oriana D&#x;Ecclesiis&#x;Oriana D’Ecclesiis3†Rita De Berardinis*Rita De Berardinis1*Aurora GaetaAurora Gaeta3Chiara MartinoliChiara Martinoli3Andrea Fausto PianaAndrea Fausto Piana4Fausto MaffiniFausto Maffini5Sara Gandini&#x;Sara Gandini3‡Mohssen Ansarin&#x;Mohssen Ansarin1‡Susanna Chiocca&#x;Susanna Chiocca3‡
  • 1Department of Otolaryngology Head and Neck Surgery, European Institute of Oncology (IEO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
  • 2Department of Biomedical Sciences, University of Sassari, Sassari, Italy
  • 3Department of Experimental Oncology, European Institute of Oncology (IEO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
  • 4Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy
  • 5Division of Pathology, European Institute of Oncology Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy

Background: Women and men differ genetically, biologically (sex) and by social construct (gender), possibly impacting on prognostic factors in predicting cancer survival. Hemoglobin levels and immune system activation are players acting in this scenario which could play a role in partly determining prognosis between patients of different sex/gender (S/G). Here, we investigate these factors in patients affected by tongue squamous cell carcinoma.

Methods: This is an observational retrospective cohort study. We collected tongue cancer patients’ clinical data, including hemoglobin levels and neutrophil lymphocyte ratio (NLR). Overall survival (OS) and disease-free survival (DFS) were compared between women and men considering confounding and prognostic factors in multivariate Cox proportional hazard models. Stratified analyses were also conducted by sex and tumor stage.

Result: 576 patients, 39.9% women and 60.1% men, were found eligible for the analysis. Men were more often smokers (p<0.001), alcohol consumers (p<0.001), overweight or obese (p<0.001) and undergoing radiotherapy (p=0.002). In multivariate models for stage I-II, men showed half risk of death and relapse compared to women (HR=0.44; 95%CI 0.24-0.81, p=0.009; HR=0.55; 95%CI 0.34-0.87, p=0.01, for OS and DFS respectively). Moreover, low hemoglobin levels appeared to be an independent prognostic factor for women but not for men in terms of both OS and DFS. Specifically, women with low hemoglobin levels showed a worse tumor outcome (HR=2.66; 95%CI 1.50-4.70; HR=2.09; 95%CI 1.24-3.53, for OS and DFS respectively). Low hemoglobin levels appeared to be a poor OS prognostic factor for women at stage I-II (p<0.004) but not for men (p=0.10). Women with advanced stage tumors, NLR>2.37, who did not performed Radiotherapy and with depth of invasion (DOI)> 10 were associated with a significant increase in relapse and death (all p<0.05).

Conclusion: In our cohort of patients with oral tongue squamous cell carcinoma, men present better OS and DFS than women with early stages tumors. Low hemoglobin level was an independent prognostic factor for women, especially at early-stage tumors. For advanced stages (III-IV), sex is not a significant factor related to patients’ prognosis.

Introduction

Recently, more literature is emphasizing the diversity in prognosis and response to treatment between men and women diagnosed with similar stage tumors. Genetic differences between men and women lead to a difference in cancer prevalence, manifestation, and response to treatment (1). These differences are reported for women and men also across different disorders (1). For example, women are more likely to develop Alzheimer’s disease, autoimmune disorders, or depression (2), while men of all races develop cancer with an overall worse survival outcome at all ages and worldwide (24). These differences may be due to an increased exposure in men to classical risk (as tobacco and alcohol) (5) and prognostic factors but also because of sex-specific biology (XX vs XY chromosomes) (3, 6). As known, sex chromosomes can regulate cellular pathways in sex specific ways, through different proteins and receptors, cell growth regulation, inflammatory response, and immune defense activation (2, 3, 7).

Despite these relevant elements, studies on sex as a biological variable are still lacking especially in head and neck cancers (HNC) (8, 9).

Higher mortality rates for men compared to women are reported in some HNC studies (10, 11). However, these differences seem to be less evident when patients are treated in third level centers for HNC underscoring the importance and value of high-level daily cancer practice for cancer remission (12, 13).

HNC includes different anatomical sites: the oral cavity, the pharynx, the larynx, the nasal cavity, the paranasal sinuses, the salivary glands, and the thyroid. These entities differ significantly in risk and prognostic factors, etiology, histology, therapeutic management, and oncological outcomes (5).

Ninety per cent of HNCs are squamous cell carcinoma (HNSCC) and more than 70% of HNSCC affect men (14, 15). Moreover, men represent more than 80% of the laryngeal subgroup but the difference in incidence by sex fades in the oral cavity (16).

In 2018 for oral cavity cancers, the worldwide age-standardized rates (ASRs) of new cases were 5.8 for men and 2.3 for women per 100 000 persons, the mortality reported was 2.8 for men and 1.2 for women (17).

According to Global Cancer Observatory data, the incidence of oral cavity cancers, including tongue cancers, is set to grow in all countries from 2020 to 2040 (18). This increase is described for both sexes although apparently in women the growth seems to be greater than in the men (18).

Nowadays, the risk of developing oral cancer from precancerous mucosal lesions appears to affect women more than men and is well documented in the literature, but there are only a few studies evaluating the role of sex in oral tongue cancer (19, 20).

Moreover, in HNC, low hemoglobin (Hb) levels are associated with poor prognosis and greater incidence causing chronic inflammation (21) and decreasing response to treatment (22, 23).

The prevalence of low hemoglobin levels in women is significantly higher than in men for physiological pathways and for their everyday life choices, as women are more inclined to have vegetarian dietary habits that could lead to lower hemoglobin levels (Hb < 13,5 g/dL for men, and Hb < 12 g/dL for women (2427). Furthermore, anemia is associated with socio-economic factors, revealing the cultural aspects influencing this biomarker (2831). Often circulating biomarkers reflect innate, evolved and hormonal factors together with social, experiential and cultural habits (32, 33). Therefore, we will use the term sex/gender (S/G) in the manuscript when referring to the complex relationship between them. In fact, while the term “sex” refers to genetic/biological differences, gender considers the sexual identity of the individual and everyday life choices, as reported by the World Health Organization (WHO): “Gender identity refers to a person’s deeply felt, internal and individual experience of gender, which may or may not correspond to the person’s physiology or designated sex at birth” (34).

Finally, leukocytes are functionally diverse in HNC patients compared to healthy subjects (35). Inflammatory responses are connected both to tumor suppression and progression, thus high neutrophil lymphocyte ratio (NLR) is associated with poor prognosis in oral cancer and several other cancer sites (3640).

The aim of our work is to investigate possible differences in tongue cancer in terms of survival and prognostics factors, based on patients’ sex/gender (S/G). Together with other well-known prognostic factors, we considered hemoglobin and NLR comparing men and women, as they are measurements routinely collected from patients prior to any treatment and reported to be related to oral cancer prognosis (22, 36).

Material and methods

Five hundred and seventy-six patients, 230 women and 346 men, with primary diagnosis of oral tongue squamous cell carcinoma (OTSCC) and primary surgical treatment received at the European Institute of Oncology, IRCCS (IEO) between 2000 and 2018 were included in the study cohort.

All the data analyzed were retrospectively extracted from electronic medical records.

Smoking and alcohol status at diagnosis were collected to classify patients as current, former, and never-smoking/drinking.

The diagnosis of low hemoglobin levels was based on the WHO standardized cut-off values: Hb < 13,5 g/dL for men, and Hb < 12 g/dL for women (24, 25).

Also, the information on family cancers histories (head and neck and other cancers) and NLR were collected.

All tumor stages according the new VIII TNM edition (41) were included. All cases without data on tumor depth of invasion (DOI) were reviewed by a head and neck pathologist (FM) according to the current definition of DOI (42). Patients with involvement of extrinsic tongue musculature by disease were considered with a DOI greater than at least 10 mm  (43). All patients underwent surgery glossectomies according to Ansarin et al. classification (44) and radiotherapy (RT) or radio-chemotherapy (RCT) according to the pathological tumor stage and following NCCN international guidelines (45).

Follow-up for all patients were updated to assess patients’ medical status at the last clinical evaluation and contact. Patient deaths and their possible causes were assessed using the Italian national death registers.

Ethics Committee approval: IEO 225.

Statistical methods

We calculated the median and interquartile range (IQR) for continuous variables and absolute and relative frequencies as summary measures of categorical variables. Based on the nature of variables, Fishers-Exact tests, Wilcoxon Rank tests or the Kruskal-Wallis rank sum test were performed to investigate association of S/G with clinical characteristics and biomarkers. Disease-free survival (DFS) was calculated from date of surgery to disease progression or death (event), or last follow-up (censored). Overall survival (OS) was calculated from date of surgery to death (event) or the last follow-up (censored). DFS and OS curves were estimated with the Kaplan-Meier method, and survival distributions were compared using Log-Rank test.

Multivariate Cox proportional hazards models have been used to study both the prognostic role of S/G and possible other independent prognostic factors, including serum biomarkers. We conducted stratified analyses by S/G and tumor stage.

Results are presented as hazard ratios (HRs) with 95% confidence intervals (95%CIs), adjusting for confounder and important prognostic factors. For all analyses, two-tailed P<0.05 was considered statistically significant. The statistical analyses were performed with R software, version 4.1.1.

Results

Clinical-pathological and tumor characteristics of the whole study population were reported on Table 1.

TABLE 1
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Table 1 Patients and tumor characteristics (N=576 patients, 39.9% women and 60.1% men).

Of 576 patients, 230 (39.9%) were women and 346 (60.1%) men, and the median follow-up was 7.63 years (y) (4.07y-12.2y). The median survival was 12.3y (10.2y-16y) and the DFS median was 4.85 y (3.31-7.06y).

Out of 576 patients, 248 (43%) had a recurrence of loco/regional and/or distant disease, of these 37% recovered after a second treatment (Supplementary Table S1).

Of 576 patients 246 (43%) died and of these, 65% died for tongue cancer (27% of the whole cohort) (Supplementary Table S2).

We observed statistically significant differences in patients upon considering sex and lifestyle habits: men patients were more often smokers (p<0.001) and alcohol users (p<0.001). They were more often overweight and obese with a body mass index (BMI) (46) greater than 25 (p<0.001). Men also showed a more advanced tumor stage compared to women (p=0.01), therefore leading to more adjuvant treatments: indeed, 45.1% of men had RT (p=0.002).

No statistically significant differences between the two sexes were found upon considering tumor family history, adjuvant chemotherapy or NLR.

In both univariate and multivariate analysis no significant OS differences were highlighted (p=0.61 and p=0.34, respectively). Women presented a median survival of 11y and men of 13.3y.

Low hemoglobin levels were found to be significantly associated with OS only for women (p=0.007), showing more than 2 times greater risk of death (HR =2.66, 95%CI 1.50-4.70). RT treatment and DOI ≤ 10 resulted as independent positive prognostic factors in the multivariate models only for women while vascular invasion and perineural infiltration were significant only for men (Table 2).

TABLE 2
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Table 2 Overall Survival (OS) for 576 patients, multivariate analysis.

In DFS univariate analysis no significant differences among sexes were found (p=0.84). Women showed a median DFS of 3.91y (2.52y-7.74y) while men of 4.96y (3.55y-7.41y).

In multivariate analysis upon investigating factors associated with DFS, sex was not significantly associated with relapse (p=0.66), while a low hemoglobin level was confirmed to be an independent prognostic factor for women (p=0.006).

Among women, patients with a low hemoglobin level were found to have more than twofold higher risk of relapse (HR=2.09, 95% CI 1.24-3.53).

RT and DOI ≤ 10 resulted as independent positive prognostic factors for women (p=0.009 and p=0.002, respectively) while perineural infiltration only for men (Table 3).

TABLE 3
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Table 3 Disease Free Survival (DFS) for 576 patients, multivariate analysis.

Smoking and status of margins variables were also tested, but since they were found not statistically significant in the multivariate analysis they were not included in the final models (results not shown).

Age resulted as independent prognostic factor for both sexes for OS and DFS (Tables 2 and 3). Upon categorizing age with the median value, the association with tumor outcomes was confirmed (p<0.0001 for OS and DFS, data not shown).

Stratified analysis for cancer stage

Stage I and II

We identified 224 patients with stage I and II OTSCC, 107 (47.8%) women and 117 (52.2%) men.

Survival analysis showed that men have significantly better OS (p=0.002) (Figure 1).

FIGURE 1
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Figure 1 Overall Survival (OS): women vs men in stage I and II.

This difference was confirmed by multivariate analysis: even upon adjusting for possible confounding factors, S/G appeared to be an independent prognostic factor (p=0.009). In particular, men have a 56% lower risk of death compared to women (HR=0.44; 95%CI 0.24-0.81). Low hemoglobin levels presented a significant impact for women with a worse OS (HR=3.99; 95%CI 1.55-10.2, p=0.004) (Table 4).

TABLE 4
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Table 4 Overall Survival (OS) for stage I-II patients, multivariate analysis.

DFS was better for men with stage I and II (p=0.023) and it was confirmed in multivariate study (p=0.01). Men showed a 45% lower risk of relapse compared to women (HR=0.55; 95%CI 0.34-0.87) (Figure 2).

FIGURE 2
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Figure 2 Disease Free Survival (DFS): women vs men in stage I and II.

Older age was related to a worse DFS for women (HR=1.03; 95%CI 1.01-1.04, p=0.002), alcohol consumption was a worsening risk factor in both sexes (Women HR=1.89; 95%CI 1.01-3.52, p=0.04; Men HR=2.28; 95%CI 1.07-4.88, p=0.03).

In early cancer stage, low hemoglobin level was significantly associated with relapse in men, but the CI was very wide (HR=6.92; 95%CI 2.30-20.8, p <0.001) (Table 5). RT treatment variable was also tested, but as it was found not statistically significant it was excluded from the models (results not shown).

TABLE 5
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Table 5 Disease Free Survival (DFS) for stage I-II patients, multivariate analysis.

Stage III and IV

We analyzed 352 patients with stage III and IV, 123 (34.9%) women and 229 (65.1%) men.

No differences were found between the sexes in term of OS in both univariate and multivariate analysis (p=0.44 and p=0.70, respectively). Similar results were found for DFS (univariate p=0.37; multivariate p=0.23).

For women in advanced stage, NLR > 2.37 (> median) was significantly associated with a worse DFS (HR=1.79; 95%CI 1.07-3.00, p=0.02).

Increasing age was associated with a worse OS in both sexes (OS women HR=1.03; 95%CI 1.01-1.05, p<0.001; men HR=1.03; 95%CI 1.01-1.04; p=0.002). The DOI was a prognostic factor for women but not for men, in particular a DOI <10 mm was associated with better OS and DFS. Perineural infiltration was significant only for men.

For women, low hemoglobin levels were significantly associated with a worse OS (p=0.051) (Supplementary Table S3) and RT treatment was significantly associated with a better DFS (p=0.005) (Supplementary Table S4).

Discussion

Our analysis highlighted the S/G differences in terms of prognosis, focusing on early tongue squamous cell carcinoma (OTSCC) stages, on patients’ hemoglobin levels and NLR values.

To our knowledge this study is one of the largest cohort studies investigating the role of S/G on prognosis in a homogenous group of non-metastatic OTSCC patients.

In early tumor stages (I-II), men presented half risk of death and relapse than women, while women had low hemoglobin levels with a statistically worsening of OS and DFS. These differences did not seem to impact advanced tumor states (III-IV), since in these cases the prognosis is already influenced by the late diagnosis of the disease.

The importance of stage as a prognostic value is well known and studied in HNC: patients diagnosed at advanced stages (III-IV) present a 40% 5-year relative survival rate compared to the 85% for patients diagnosed at early stages, according to the 7th TNM edition (14, 47, 48).

Specifically, for oral cancers a new version of the TNM system staging was published in 2018 (8th edition) firstly including well known prognostic factors such as the depth of tumor infiltration (DOI) and the presence of extracapsular tumor spread (ECE) in neck lymph nodes at the diagnosis (41). These data helped clinicians to improve the stratification of prognosis in patients with tongue cancer by better dividing the survivals relative to each stage of the disease. However, the wide difference in oncological outcomes between the early and advanced stages did not change (4850). Even if the 8th TNM edition better stratifies the prognosis (43, 51), the role of S/G is not considered.

In HNC only approximately 30% of patients are diagnosed at an early stage (48, 52) and, in our cohort, women appear to be the largest group in stages I-II, but they are also the group with the worst prognosis in these stages, both as OS and as DFS.

These findings agree with other studies. Women are generally more concerned about their health and seeking care earlier, therefore potentially enhancing prevention measures (13, 24, 53).

Nowadays, this worse trend in OTCSS in women is not readily explained, since the immune response is generally more robust in women than in men (7).

In stages III-IV our analysis did not underline any S/G differences. The lack of difference in prognosis between men and women in advanced stages of oral cancer has already been noted in other works (24, 54).

Unfortunately, the 5-year relative survival rate decreases from 85% in patients diagnosed in early stages to 40% for those diagnosed with an advanced disease (53, 55). Only approximately 30% of cases have been diagnosed as localized tumors in the last decade (53, 55).

Therefore, it is mandatory to understand these trends in late-stage HNC presentation as well as the associated risk factors, since only few studies examined the incidence trends for tongue tumor late-stage, considering sociodemographic variables, including S/G (20).

In our study women with early stages OTSCC have twice the risk of dying than men, despite the known better prognosis of these patients. Moreover, women with low hemoglobin levels had 2 times worse OS than non-anemic women and a 77% higher risk to present an event in terms of DFS. A meta-analysis showed that anemia is an independent prognostic factor for survival in patients with different cancers, including HNC (23).

Clinically, the reduction of the hemoglobin level is related to tumor presence causing chronic inflammation (21). Oral carcinogenesis is correlated with persistent inflammation through the tumor necrosis factor and the release of pro-inflammatory cytokines.

Earlier studies have shown that more women are often diagnosed with anemia compared to men because of their physiology due to monthly menstrual cycles and because more women adopt vegetarian lifestyles (26, 27, 56). Moreover, in adult men hormone testosterone simulates erythropoietin, boosting hemoglobin concentration (27, 57).

Although not many, there are studies describing the relationship between low hemoglobin levels and OTSCC. The presence of anemia is related to a poor prognosis, increasing the risk of mortality, with a decreased local control of cancer and OS (58, 59). Thus, low hemoglobin levels can be considered a predictor of poorer response to treatment (21, 59). Not only in HNC but also in lung cancer a low pre-operative hemoglobin level was reported to be associated with poorer OS (60, 61).

Currently, many known prognostic factors are related to elements which become evident only after surgery, especially in OTSCC, such as the surgical margins (free or involved by disease), the T-N tract status and ECE lymph nodes (6264). However, the concept of low hemoglobin levels at time of diagnosis can be used to better stratify patients, especially for women, even before the planned treatments which is currently based only on clinical tumor staging.

Regardless of S/G, our data confirmed that the prognosis of tongue cancers remained significantly associated with age: older age seemed to be a worse prognostic factor for all stages in both sexes (49, 65).

RT treatment and DOI ≤ 10 resulted as independent positive prognostic factors in the multivariate models only for women. In particular, women who performed RT and had DOI (mm) <10 showed a lower risk of death and recurrence. On the contrary, vascular invasion and perineural infiltration were negative prognostic factors only for men in the whole cohort.

These factors are known prognostic factors in oral cancer (66, 67), but, to date, their role has not yet been evaluated in terms of the difference between men and women.

The influence and the role of sex on the activation of the immune system including innate and adaptive mechanisms and on cancer development and suppression is an important area of research. Sex-dependent differences in cancer metabolic pathways and immune response are also being considered and studied to assess whether and how sex could influence cancer prognosis (7, 68).

In our study, only women in advanced stage with an NLR> 2.37 had a 70% more probability of relapse.

Roberts et al. (13) did not report sex-related survival disparities among all HNC. Their sample, albeit large (more than 500 patients), compared and collected data on cancers of the entire head and neck area. However, it is well known that HNC are heterogenous and present many different risks, incidences, and survival rates not only between tumors of the oral cavity, oropharynx, and larynx but also within the same sub-site. In fact, in the oral cavity site, the subsites such as the cheek, the mobile tongue, the lips, have different survival outcomes (24).

In a study on 6830 patients presented oral cavity cancer in stage I-II, sex was reported significant in univariate analysis with a worse outcome for women, but the difference was not reported in multivariate analysis (12).

In another recent study on 2082 oral cavity cancers, no sex-dependent differences in OS and disease specific survival were reported, but the analysis was not divided in stages and oral tongue cancer was a subsite included in the whole cohort (69).

Our study presents some limitations: the data belong to a retrospective and monocentric collection, and it could present problems of sample size and statistical power for the stratified analyzes. Furthermore, as the variables included in the models have been chosen on statistical and clinical/epidemiological criteria, there could be a residual confounding problem. Of note, in a retrospective context it is difficult to assess how specific behaviors, that may differ among genders, affect biological factors related also to sex. Despite this, to our knowledge, it is the first study with complete patients’ information (diagnosis, risk factors, treatment, and follow-up) on a large group of patients (576) affected by oral tongue (a single HNC site) that investigates the difference between men and women in terms of oncological survival outcomes.

Investigating all the genetic, epigenetic, hormonal, and gendered social issues related to both sex and gender is the first step to better studying these tumors understanding the differences in oncological results for OTSCC in the two sexes, if any.

Conclusion

In the era of personalized medicine, specific studies focusing on the diversity not only among sexes but also genders, will be key for the success of precision treatments, also for tongue cancers. In fact, according to our data among patients with oral tongue carcinoma in early stages, men presented better OS and DFS than women and a low hemoglobin level appeared to be an independent prognostic factor for women. For advanced stages (III-IV) S/G was not found to be a significant factor related to the oncological outcome. Furthermore, increasing age was a worsening element regardless of tumor stage and sex.

Even though hemoglobin levels are not currently taken into account for tailored treatment, in our work we found it as a different variable between women and men. In the future, this value may be considered as an indicator for prognosis sex specific.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the Ethics Committee of Istituto Europeo di Oncologia (approval number 225). The patients/participants provided their written informed consent to participate in this study.

Author contributions

MT drafted the manuscript. OD’E realized statistical analysis and revised the manuscript. RB collected clinical data. OD’E, AG, and CM realized statistical analysis. SC and SG conceptualized the study. FM reviewed histopathological patients’ data. AP, MA, and SC critically reviewed the manuscript for important intellectual content. All authors contributed to the article and approved the submitted version.

Funding

This work was partially supported by the Italian Ministry of Health with Ricerca Corrente and 5x1000 funds and by Cariplo Foundation Grant no. 2019-3283 to SC.

Acknowledgments

The Authors thank Donatella Scaglione for her data management support.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2022.1018886/full#supplementary-material

Supplementary Table 1 | Failure events of the whole patients’ cohort.

Supplementary Table 2 | Deaths and causes of the whole patients’ cohort.

Supplementary Table 3 | Overall Survival (OS) for stage III-IV patients, multivariate analysis.

Supplementary Table 4 | Disease Free Survival (DFS) for stage III-IV patients, multivariate analysis.

References

1. Mauvais-Jarvis F. Aging, Male sex, obesity, and metabolic inflammation create the perfect storm for COVID-19. Diabetes (2020) 69(9):1857–63. doi: 10.2337/dbi19-0023

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Mauvais-Jarvis F, Bairey Merz N, Barnes PJ, Brinton RD, Carrero JJ, DeMeo DL, et al. Sex and gender: modifiers of health, disease, and medicine. Lancet (2020) 396(10250):565–82. doi: 10.1016/S0140-6736(20)31561-0

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Wagner AD, Oertelt-Prigione S, Adjei A, Buclin T, Cristina V, Csajka C, et al. Gender medicine and oncology: report and consensus of an ESMO workshop. Ann Oncol (2019) 30(12):1914–24. doi: 10.1093/annonc/mdz414

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Rubin JB. The spectrum of sex differences in cancer. Trends Cancer (2022) 8(4):303–15. doi: 10.1016/j.trecan.2022.01.013

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Mody MD, Rocco JW, Yom SS, Haddad RI, Saba NF. Head and neck cancer. Lancet (2021) 398(10318):2289–99. doi: 10.1016/S0140-6736(21)01550-6

PubMed Abstract | CrossRef Full Text | Google Scholar

6. McCartney G, Mahmood L, Leyland AH, Batty GD, Hunt K. Contribution of smoking-related and alcohol-related deaths to the gender gap in mortality: evidence from 30 European countries. Tob Control (2011) 20(2):166–8. doi: 10.1136/tc.2010.037929

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Haupt S, Caramia F, Klein SL, Rubin JB, Haupt Y. Sex disparities matter in cancer development and therapy. Nat Rev Cancer (2021) 21(6):393–407. doi: 10.1038/s41568-021-00348-y

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Rich-Edwards JW, Kaiser UB, Chen GL, Manson JE, Goldstein JM. Sex and gender differences research design for basic, clinical, and population studies: Essentials for investigators. Endocr Rev (2018) 39(4):424–39. doi: 10.1210/er.2017-00246

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Stachenfeld NS, Mazure CM. Precision medicine requires understanding how both sex and gender influence health. Cell (2022) 185(10):1619–22. doi: 10.1016/j.cell.2022.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

10. McLean A, LeMay W, Vila P, Wegner M, Remington P. Disparities in oral and pharyngeal cancer incidence and mortality among Wisconsin residents, 1999-2002. WMJ (2006) 105(6):32–5.

PubMed Abstract | Google Scholar

11. Goldberg HI, Lockwood SA, Wyatt SW, Crossett LS. Trends and differentials in mortality from cancers of the oral cavity and pharynx in the united states, 1973-1987. Cancer (1994) 74(2):565–72. doi: 10.1002/1097-0142(19940715)74:2<565::aid-cncr2820740206>3.0.co;2-i

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Luryi AL, Chen MM, Mehra S, Roman SA, Sosa JA, Judson BL. Treatment factors associated with survival in early-stage oral cavity cancer: Analysis of 6830 cases from the national cancer data base. JAMA Otolaryngol Head Neck Surg (2015) 141(7):593–8. doi: 10.1001/jamaoto.2015.0719

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Roberts JC, Li G, Reitzel LR, Wei Q, Sturgis EM. No evidence of sex-related survival disparities among head and neck cancer patients receiving similar multidisciplinary care: a matched-pair analysis. Clin Cancer Res (2010) 16(20):5019–27. doi: 10.1158/1078-0432.CCR-10-0755

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Mazul AL, Naik AN, Zhan KY, Stepan KO, Old MO, Kang SY, et al. Gender and race interact to influence survival disparities in head and neck cancer. Oral Oncol (2021) 112:105093. doi: 10.1016/j.oraloncology.2020.105093

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Mourad M, Jetmore T, Jategaonkar AA, Moubayed S, Moshier E, Urken ML. Epidemiological trends of head and neck cancer in the united states: A SEER population study. J Oral Maxillofac Surg (2017) 75(12):2562–72. doi: 10.1016/j.joms.2017.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

16. World Health Organization – WHO. Cancer today . Available at: https://gco.iarc.fr/today/home (Accessed July 30, 2022).

Google Scholar

17. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin (2021) 71(3):209–49. doi: 10.3322/caac.21660

PubMed Abstract | CrossRef Full Text | Google Scholar

18. World Health Organization – WHO. Cancer tomorrow . Available at: https://gco.iarc.fr/tomorrow/en (Accessed July 30, 2022).

Google Scholar

19. Palaia G, Bellisario A, Pampena R, Pippi R, Romeo U. Oral proliferative verrucous leukoplakia: Progression to malignancy and clinical implications. Systematic Rev Meta-Analysis Cancers (2021) 13:4085. doi: 10.3390/cancers13164085

CrossRef Full Text | Google Scholar

20. Garavello W, Spreafico R, Somigliana E, Gaini L, Pignataro L, Gaini RM. Prognostic influence of gender in patients with oral tongue cancer. Otolaryngol Head Neck Surg (2008) 138(6):768–71. doi: 10.1016/j.otohns.2008.02.026

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Sganzerla JT, Krueger GF, Oliveira MC, Gassen HT, Santos MAD, Celeste RK, et al. Relationship between anemia and oral cancer: a case-control study. Braz Oral Res (2021) 35:e085. doi: 10.1590/1807-3107bor-2021.vol35.0085

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Reichel O, Panzer M, Wimmer C, Dühmke E, Kastenbauer E, Suckfüll M. Prognostic implications of hemoglobin levels before and after surgery as well as before and after radiochemotherapy for head and neck tumors. Eur Arch Otorhinolaryngol (2003) 260(5):248–53. doi: 10.1007/s00405-002-0513-7

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Caro JJ, Salas M, Ward A, Goss G. Anemia as an independent prognostic factor for survival in patients with cancer: a systemic, quantitative review. Cancer (2001) 91(12):2214–21.

PubMed Abstract | Google Scholar

24. Moro JDS, Maroneze MC, Ardenghi TM, Barin LM, Danesi CC. Oral and oropharyngeal cancer: epidemiology and survival analysis. Einstein (Sao Paulo) (2018) 16(2):eAO4248. doi: 10.1590/S1679-45082018AO4248

PubMed Abstract | CrossRef Full Text | Google Scholar

25. World Health Organization – WHO. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity: vitamin and mineral nutrition information system (2011). Available at: https://apps.who.int/iris/bitstream/handle/10665/85839/WHO_NMH_NHD_MNM_11.1_eng.pdf (Accessed July 30, 2022).

Google Scholar

26. Mihrshahi S, Ding D, Gale J, Allman-Farinelli M, Banks E, Bauman AE. Vegetarian diet and all-cause mortality: Evidence from a large population-based Australian cohort - the 45 and up study. Prev Med (2017) 97:1–7. doi: 10.1016/j.ypmed.2016.12.044

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Chai ZF, Gan WY, Chin YS, Ching YK, Appukutty M. Factors associated with anemia among female adult vegetarians in Malaysia. Nutr Res Pract (2019) 13(1):23–31. doi: 10.4162/nrp.2019.13.1.23

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Desai N, Choudhry VP. Nutritional anemia in protein energy malnutrition. Indian Pediatr (1993) 30(12):1471–83.

PubMed Abstract | Google Scholar

29. Trinh LT, Dibley M. Anaemia in pregnant, postpartum and non pregnant women in lak district, daklak province of Vietnam. Asia Pac J Clin Nutr (2007) 16(2):310–5.

PubMed Abstract | Google Scholar

30. Goel S, Gupta B. Low anemia prevalence among adolescents of an urban hilly community. Indian J Community Med (2007) 32:67–8.

Google Scholar

31. Gupta VM SK. Epidemiology of anemia in preschool children from a rural and a slum community, varanasi. Indian J Prev Soc Med (1985) 15:85–9.

Google Scholar

32. van Anders SM. Beyond masculinity: testosterone, gender/sex, and human social behavior in a comparative context. Front Neuroendocrinol (2013) 34(3):198–210. doi: 10.1016/j.yfrne.2013.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Mesquita B, Barrett LF, Smith ER. The mind in context. New York: Guilford Press (2010).

Google Scholar

34. World Health Organization (WHO). Health topics/Gender . Available at: https://www.who.int/health-topics/gender#tab=tab_1 (Accessed July 30, 2022).

Google Scholar

35. Trellakis S, Farjah H, Bruderek K, Dumitru CA, Hoffmann TK, Lang S, et al. Peripheral blood neutrophil granulocytes from patients with head and neck squamous cell carcinoma functionally differ from their counterparts in healthy donors. Int J Immunopathol Pharmacol (2011) 24(3):683–93. doi: 10.1177/039463201102400314

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Hasegawa T, Iga T, Takeda D, Amano R, Saito I, Kakei Y, et al. Neutrophil-lymphocyte ratio associated with poor prognosis in oral cancer: a retrospective study. BMC Cancer (2020) 20(1):568–020-07063-1. doi: 10.1186/s12885-020-07063-1

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Ma SJ, Yu H, Khan M, Gill J, Santhosh S, Chatterjee U, et al. Evaluation of optimal threshold of neutrophil-lymphocyte ratio and its association with survival outcomes among patients with head and neck cancer. JAMA Netw Open (2022) 5(4):e227567. doi: 10.1001/jamanetworkopen.2022.7567

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Erturk M, Cakmak HA, Surgit O, Celik O, Aksu HU, Akgul O, et al. Predictive value of elevated neutrophil to lymphocyte ratio for long-term cardiovascular mortality in peripheral arterial occlusive disease. J Cardiol (2014) 64(5):371–6. doi: 10.1016/j.jjcc.2014.02.019

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Sato H, Tsubosa Y, Kawano T. Correlation between the pretherapeutic neutrophil to lymphocyte ratio and the pathologic response to neoadjuvant chemotherapy in patients with advanced esophageal cancer. World J Surg (2012) 36(3):617–22. doi: 10.1007/s00268-011-1411-1

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Walsh SR, Cook EJ, Goulder F, Justin TA, Keeling NJ. Neutrophil-lymphocyte ratio as a prognostic factor in colorectal cancer. J Surg Oncol (2005) 91(3):181–4. doi: 10.1002/jso.20329

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Amin MB, Edge SB, Greene FL, Byrd DR, Brookland RK, Washington MK, et al. AJCC cancer staging manual. 8th edition. New York: Springer (2017).

Google Scholar

42. Kukreja P, Parekh D, Roy P. Practical challenges in measurement of depth of invasion in oral squamous cell carcinoma: pictographical documentation to improve consistency of reporting per the AJCC 8th edition recommendations. Head Neck Pathol (2020) 14:419–27. doi: 10.1007/s12105-019-01047-9

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Piazza C, Montalto N, Paderno A, Taglietti V, Nicolai P. Is it time to incorporate 'depth of infiltration' in the T staging of oral tongue and floor of mouth cancer? Curr Opin Otolaryngol Head Neck Surg (2014) 22(2):81–9. doi: 10.1097/MOO.0000000000000038

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Ansarin M, Bruschini R, Navach V, Giugliano G, Calabrese L, Chiesa F, et al. Classification of GLOSSECTOMIES: Proposal for tongue cancer resections. Head Neck (2019) 41(3):821–7. doi: 10.1002/hed.25466

PubMed Abstract | CrossRef Full Text | Google Scholar

45. National comprehensive cancer network guidelines . Available at: http://www.nccn.org/professionals/physician_gls/pdf/head-and-neck.pdf (Accessed July 20, 2022).

Google Scholar

46. National Heart, Lung and Blood Institute. Calculate your body mass index . Available at: https://www.nhlbi.nih.gov/health/educational/lose_wt/BMI/bmicalc.htm (Accessed July 30, 2022).

Google Scholar

47. American Joint Committee on Cancer. AJCC cancer staging handbook. 7th edition. New York: Springer Verlag (2010).

Google Scholar

48. Worsham MJ. Identifying the risk factors for late-stage head and neck cancer. Expert Rev Anticancer Ther (2011) 11(9):1321–5. doi: 10.1586/era.11.135

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Tagliabue M, Belloni P, De Berardinis R, Gandini S, Chu F, Zorzi S, et al. A systematic review and meta-analysis of the prognostic role of age in oral tongue cancer. Cancer Med (2021) 10(8):2566–78. doi: 10.1002/cam4.3795

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Mattavelli D, Ferrari M, Taboni S, Morello R, Paderno A, Rampinelli V, et al. The 8th TNM classification for oral squamous cell carcinoma: What is gained, what is lost, and what is missing. Oral Oncol (2020) 111:104937. doi: 10.1016/j.oraloncology.2020.104937

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Tagliabue M, De Berardinis R, Belloni P, Gandini S, Scaglione D, Maffini F, et al. Oral tongue carcinoma: prognostic changes according to the updated 2020 version of the AJCC/UICC TNM staging system. Acta Otorhinolaryngol Ital (2022) 42(2):140–9. doi: 10.14639/0392-100X-N2055

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Kowalski LP, Carvalho AL. Influence of time delay and clinical upstaging in the prognosis of head and neck cancer. Oral Oncol (2001) 37(1):94–8. doi: 10.1016/s1368-8375(00)00066-x

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Thompson AE, Anisimowicz Y, Miedema B, Hogg W, Wodchis WP, Aubrey-Bassler K. The influence of gender and other patient characteristics on health care-seeking behaviour: a QUALICOPC study. BMC Fam Pract (2016) 17:38–016-0440-0. doi: 10.1186/s12875-016-0440-0

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Schneider IJ, Flores ME, Nickel DA, Martins LG, Traebert J. Survival rates of patients with cancer of the lip, mouth and pharynx: a cohort study of 10 years. Rev Bras Epidemiol (2014) 17(3):680–91. doi: 10.1590/1809-4503201400030009

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin (2019) 69(1):7–34. doi: 10.3322/caac.21551

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Abdullah B, Moize B, Ismail BA, Zamri M, Mohd Nasir NF. Prevalence of menopausal symptoms, its effect to quality of life among Malaysian women and their treatment seeking behaviour. Med J Malaysia (2017) 72(2):94–9.

PubMed Abstract | Google Scholar

57. Bachman E, Travison TG, Basaria S, Davda MN, Guo W, Li M, et al. Testosterone induces erythrocytosis via increased erythropoietin and suppressed hepcidin: evidence for a new erythropoietin/hemoglobin set point. J Gerontol A Biol Sci Med Sci (2014) 69(6):725–35. doi: 10.1093/gerona/glt154

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Anees Ahmed RA, Ganvir SM, Hazarey VK. Relation of erythrocyte indices and serum iron level with clinical and histological progression of oral squamous cell carcinoma in central India. J Investig Clin Dent (2014) 5(1):65–71. doi: 10.1111/jicd.12021

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Blatt S, Schön H, Sagheb K, Kämmerer PW, Al-Nawas B, Schiegnitz E. Hemoglobin, c-reactive protein and ferritin in patients with oral carcinoma and their clinical significance - a prospective clinical study. J Craniomaxillofac Surg (2018) 46(2):207–12. doi: 10.1016/j.jcms.2017.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Liu Y, Bai YP, Zhou ZF, Jiang CR, Xu Z, Fan XX. Preoperative anemia as a prognostic factor in patients with lung cancer: a systematic review and meta-analysis of epidemiological studies. J Cancer (2019) 10(9):2047–56. doi: 10.7150/jca.29410

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Tomita M, Shimizu T, Hara M, Ayabe T, Onitsuka T. Impact of preoperative hemoglobin level on survival of non-small cell lung cancer patients. Anticancer Res (2008) 28(3B):1947–50.

PubMed Abstract | Google Scholar

62. Sharma K, Ahlawat P, Gairola M, Tandon S, Sachdeva N, Sharief MI. Prognostic factors, failure patterns and survival analysis in patients with resectable oral squamous cell carcinoma of the tongue. Radiat Oncol J (2019) 37(2):73–81. doi: 10.3857/roj.2018.00577

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Tagliabue M, Gandini S, Maffini F, Navach V, Bruschini R, Giugliano G, et al. The role of the T-n tract in advanced stage tongue cancer. Head Neck (2019) 41(8):2756–67. doi: 10.1002/hed.25761

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Daniell JR, Rowe D, Wiesenfeld D, McDowell L, Hall KA, Nastri A, et al. A change in surgical margin: do wider surgical margins lead to decreased rates of local recurrence in T1 and T2 oral tongue cancer? Int J Oral Maxillofac Surg (2022), S0901–5027(22):00182–5. doi: 10.1016/j.ijom.2022.04.008

CrossRef Full Text | Google Scholar

65. Ansarin M, De Berardinis R, Corso F, Giugliano G, Bruschini R, De Benedetto L, et al. Survival outcomes in oral tongue cancer: A mono-institutional experience focusing on age. Front Oncol (2021) 11:616653:616653. doi: 10.3389/fonc.2021.616653

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Ling W, Mijiti A, Moming A. Survival pattern and prognostic factors of patients with squamous cell carcinoma of the tongue: a retrospective analysis of 210 cases. J Oral Maxillofac Surg (2013) 71(4):775–85. doi: 10.1016/j.joms.2012.09.026

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Alterio D, D'Urso P, Volpe S, Tagliabue M, De Berardinis R, Augugliaro M, et al. The impact of post-operative radiotherapy in early stage (pT1-pT2N0M0) oral tongue squamous cell carcinoma in era of DOI. Cancers (Basel) (2021) 13(19):4851. doi: 10.3390/cancers13194851

PubMed Abstract | CrossRef Full Text | Google Scholar

68. De Berardinis R, Guiddi P, Ugolini S, Chu F, Pietrobon G, Pravettoni G, et al. Coping with oral tongue cancer and COVID-19 infection. Front Psychiatry (2021) 12:562502:562502. doi: 10.3389/fpsyt.2021.562502

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Zanoni DK, Montero PH, Migliacci JC, Shah JP, Wong RJ, Ganly I, et al. Survival outcomes after treatment of cancer of the oral cavity (1985-2015). Oral Oncol (2019) 90:115–21. doi: 10.1016/j.oraloncology.2019.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: sex, gender, head and neck cancer, head and neck squamous cell carcinoma, tongue cancer, hemoglobin, neutrophil lymphocyte ratio, survival

Citation: Tagliabue M, D’Ecclesiis O, De Berardinis R, Gaeta A, Martinoli C, Piana AF, Maffini F, Gandini S, Ansarin M and Chiocca S (2022) The prognostic role of sex and hemoglobin levels in patients with oral tongue squamous cell carcinoma. Front. Oncol. 12:1018886. doi: 10.3389/fonc.2022.1018886

Received: 14 August 2022; Accepted: 27 October 2022;
Published: 15 November 2022.

Edited by:

Dietmar Thurnher, Medical University of Graz, Austria

Reviewed by:

Chung-Jan Kang, Linkou Chang Gung Memorial Hospital, Taiwan
Raymond Tsang, National University of Singapore, Singapore
Aline Lauda Freitas Chaves, DOM Clinica de Oncologia, Brazil

Copyright © 2022 Tagliabue, D’Ecclesiis, De Berardinis, Gaeta, Martinoli, Piana, Maffini, Gandini, Ansarin and Chiocca. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rita De Berardinis, rita.deberardinis@ieo.it

These authors have contributed equally to this work and share first authorship

These authors have contributed equally to this work and share last authorship

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