Skip to main content

MINI REVIEW article

Front. Oncol., 23 May 2024
Sec. Gynecological Oncology
This article is part of the Research Topic Cervical Cancer: Updates from the Mexican National Consensus View all 9 articles

Risk factors for the development of cervical cancer: analysis of the evidence

Julissa Luvin-Morales&#x;Julissa Luvián-Morales1†Sandra Olimpia Gutirrez-Enríquez&#x;Sandra Olimpia Gutiérrez-Enríquez2†Víctor Granados-García&#x;Víctor Granados-García3†Kirvis Torres-Poveda,*&#x;Kirvis Torres-Poveda4,5*†
  • 1MICAELA Program, Instituto Nacional de Cancerología, Mexico City, Mexico
  • 2Faculty of Nursing and Nutrition, Autonomous University of San Luis Potosi, San Luis Potosi, Mexico
  • 3Epidemiological and Health Services Research Unit Aging Area, Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
  • 4Center for Research on Infectious Diseases, Instituto Nacional de Salud Pública (INSP), Cuernavaca, Mexico
  • 5Consejo Nacional de Humanidades Ciencias y Tecnologías (CONAHCYT)-INSP, Cuernavaca, Mexico

Introduction: Cervical cancer (CC) is the fourth most prevalent female cancer globally. Understanding its epidemiology is crucial for devising practical strategies suited to geographic and social contexts to attain the global eradication of CC. Hence, this study examined the latest evidence of risk factors contributing to CC development.

Methods: An independent literature search was conducted on PubMed using MESH terms. The primary sources were meta-analyses published from 2010 to 2023, which detail updated evidence on risk factors associated with CC. Additionally, the quality of the evidence was evaluated using the GRADE system and recommendations were made accordingly.

Results: The main risk factors related to the cause of CC include co-infections with other sexually transmitted infections, genetic markers, cervicovaginal microbiota, nutritional factors, comorbidities that affect the immune response, smoking, and the use of hormonal contraceptives with a quality evidence based on the GRADE scale moderate.

Conclusions: Since the necessary cause for CC is persistent cervicovaginal HPV, all the risk factors implicated in the causality of CC act as non-independent cofactors that increase the risk of CC. Thus, changes in public policies aimed at addressing these risk factors are highly recommended and can substantially decrease the risk of CC.

1 Introduction

Cervical cancer (CC) is the fourth most prevalent form of cancer among women worldwide. In 2020, the age-standardized incidence rate was 13.3 cases per 100,000 woman-years, and the mortality rate stood at 7.3 deaths per 100,000 woman-years (1). Sub-Saharan Africa, Latin America, and Asia—regions with countries possessing a low human development index—have the highest incidence and mortality rates (2, 3). This discrepancy predominantly stems from the absence of extensive screening programs and insufficient healthcare infrastructure. Conversely, countries with well-established screening initiatives have seen a significant decline in CC cases (4).

In Mexico, 9,439 new CC cases were reported in 2020 (constituting 4.8% of total cases) and 4,335 deaths, with an estimated prevalence of 25,026 cases (5). Approximately 77% of women receive a diagnosis in locally advanced stages, 16% in early stages, and 7% in advanced stages (6). While mortality rates from this cancer have been decreasing since 2001 in the country’s central region, the highest mortality rates are found in some of the most marginalized states, such as Chiapas, Tabasco, and Morelos (7).

A persistent infection with high-risk human papillomavirus (HPV) is the leading cause of CC development. There exist certain factors that increase the potential for exposure to and acquisition of an HPV infection at the cervicovaginal level, as well as structural elements that make a woman more susceptible to CC.

As the female cancer is the greatest prevention potential (8, 9), understanding the etiology of CC is crucial in response to the Global Initiative to eradicate CC as a public health issue (10). Given this context, this study aimed to analyze and present the available evidence of risk factors associated with the development of CC.

2 Methods

We conducted a scoping review of meta-analyses published from 2010–2023 in the MEDLINE database via the PubMed database. The search criteria consisted of combined MeSH terms: “risk factors,” “smoking,” “contraceptives,” “genetic markers,” “microbiota,” “immunity,” and “uterine cervical neoplasms.” The Boolean operator “AND” was applied to link the search terms and answer the question: “What is the updated evidence on risk factors associated with cervical cancer?” The search was limited to full-text articles published in English. The quality of the evidence presented in these meta-analyses was assessed as high, moderate, low, or very low according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. Recommendations, based on the strength of evidence, were made by members of the Mexican National Consensus on Cervical Cancer Epidemiology.

3 Results

This review provides an update on the evidence found in the literature regarding the association of risk factors with biological plausibility for CC. Given the essential role that persistent high-risk human papillomavirus (HR-HPV) infection at the cervical level plays in the development of CC, we examined the factors associated with HR-HPV infection (exposure variable), the persistence of HR-HPV infection (intermediate phenotype), and the specific outcome of CC (Figure 1). The analyses of evidence analysis using the GRADE approach on risk factors related to the causality of CC are listed in Table 1.

Figure 1
www.frontiersin.org

Figure 1 A directed acyclic diagram that represents the causal structure of cervical cancer. This directed acyclic diagram illustrates the exposure variable and the interplay of other risk factors affecting CC causality. The variables are represented by nodes (circles), while the arrows represent the causal direction between variables. Green arrows represent open causal pathways, black arrows symbolize closed non-causal pathways, and pink arrows indicate open non-causal pathways. (A) exhibits risk factors associated with the onset of HPV-HR infection (depicted by green circles). Blue circles with bidirectional arrows denote common causes predisposing to HPV-HR infection persistence and CC development. Blue circles with a single arrow represent factors linked to the suppression of the immune response and CC progression. Furthermore, infection persistence is considered a mediator in the association between HPV-HR infection and CC. Sexual history-related risk factors that can increase the likelihood of HPV-HR infection. Lifestyle-related factors such as smoking and use of hormonal contraceptives for periods (>5 years), along with the host’s intrinsic features such as genetic factors, cervicovaginal microbiota, and immune response elements, are linked to a higher likelihood of HPV-HR infection persistence. Structural factors related to social determinants impacting women’s health, particularly in countries like Mexico, are associated with a higher incidence of CC. (B) displays the variables associated with exposure and the outcome; however, they are not part of the causal chain (confounders). These confounding variables (revealed as red circles) must be controlled during the study design or adjusted during data analysis to prevent spurious associations when examining the relationship between HPV-HR infection persistence and CC. HR-HPV, high-risk human papillomavirus; CC, cervical cancer; STI, sexually transmitted infection; HIV, human immunodeficiency virus; HC, hormone contraceptives; y, years.

Table 1
www.frontiersin.org

Table 1 Analysis of evidence using the GRADE system by risk factors related to the causality of cervical cancer.

3.1 Risk factors associated with a greater probability of HR-HPV infection at the cervical level

3.1.1 Number of sexual partners

Studies have observed that an increased number of sexual partners correlates with a heightened risk of obtaining an abnormal Pap smear result [odds ratio (OR): 5.5] (11). This risk for HPV infection similarly escalates with increasing numbers of sexual partners (12). In Peru, reports indicated a higher risk of HPV infection among individuals who had more than five sexual partners throughout their lifetime (13). Similarly, researchers in the United States and China found an association between HPV infection and having two or more sexual partners (14). A rise in risk with multiple partners (OR: 1.91) and high-risk genotypes was also reported in Tunisia (15). Moreover, studies in Mexico revealed that having more than five sexual partners heightened the risk for HPV-16 and non-HPV 16/18 infection (16).

3.1.2 Age of onset of sexual life

Another extensively researched risk factor concerning sexual history is engaging in sexual activity at an early age. A study conducted in China found that the risk of HPV infection increased when sexual activity commenced at 19 years old or younger (OR: 1.51) (17). Similarly, researchers in Peru noted an elevated risk of HPV infection (OR: 1.4) when sexual relations began at an age younger than 18 years (13).

3.1.3 Sexually transmitted co-infections

3.1.3.1 Coinfection with Chlamydia

A meta-analysis found an increased risk for CC associated with Chlamydia infection (OR: 1.96) (18), a finding consistent with another meta-analysis (OR: 2.21) (19). The same meta-analysis suggested an even greater increase in CC risk with concurrent Chlamydia and HPV infections (OR: 2.13) (18). Separate studies have also reported Chlamydia to be more prevalent in HPV-positive women compared to those who are HPV-negative (20). Furthermore, in women with Chlamydia, the risk for HPV infection increases (OR: 2.21) (21). In addition, the literature has shown that past Chlamydia infection is a risk factor for contracting HPV (OR: 1.72) (21).

3.1.3.2 Co-infection with herpes simplex virus

A study in Mexico on herpes simplex virus (HSV-2) documented that the likelihood of having an active HSV-2 infection in HR-HPV-positive cases was nine times higher than in negative cases (p = 0.03). Furthermore, the primary factors related to an active HSV-2 infection were a history of risky sexual behavior and HR-HPV infection (22).

3.2 Risk factors associated with a higher likelihood of persistent HPV infection at the cervical level

3.2.1 Endogenous factors

3.2.1.1 Genetic factors

Most studies examining genetic factors as risk factors for CC have been association studies focusing on single nucleotide polymorphisms (SNPs) within candidate genes involved in oncogenesis and cellular immune response (23). These studies relate primarily to immune response evasion in patients persistently infected with HPV and CC (24, 25).

To date, few comprehensive meta-analyses have investigated the association between genetic polymorphisms unrelated to a specific biological pathway and the risk of CC. These studies primarily focus on the evidence reported in the existing literature (2629). A recent meta-analysis of studies that examined the association of SNPs in genes coding for cytokines found SNPs in IL-17A, IL-17F, IL-12A, IL-12B, TNFA, IL-1B, IL-6, and IL-10 (26). Another meta-analysis focusing exclusively on case-control studies reported a negative association between CC and a polymorphism of the p21 gene, a potent cell proliferation and DNA replication inhibitor, as well as two polymorphisms of the BRIP1 gene, a crucial gene in the BRCA-associated DNA repair process (27). In contrast, the meta-analyses of Wang et al. (29) and Zhang et al. (28) reported divergent SNPs significantly associated with the risk of developing CC, potentially due to differences in defined inclusion criteria.

3.2.1.2 Cervicovaginal microbiota

Emerging evidence suggests that increased diversity of the vaginal microbiota, coupled with a reduced relative abundance of Lactobacillus spp. may play a role in the acquisition and persistence of HPV, as well as the development of precancer and CC (30, 31). There are only a few published meta-analyses to date that focus on the results from studies exploring the causal relationship between vaginal microbiota and CC (32, 33). The 2019 meta-analysis by Brusselaers et al. reported an association between vaginal dysbiosis and a higher risk of HPV incidence (relative risk [RR]: 1.33), HPV persistence (RR: 1.14), high-grade lesions, and CC (RR: 2.01) (33). In contrast, the 2019 meta-analysis by Wang et al. focused solely on the relationship between cervicovaginal microbiota dominated by Lactobacillus spp. and HR-HPV, cervical intraepithelial neoplasia (CIN), and CC infection using data from cross-sectional studies (32). This analysis reported a protective association related to the detection of HR-HPV infection (OR: 0.64), CIN (OR: 0.53), and CC (OR: 0.12) (32).

3.2.1.3 Nutritional factors
3.2.1.3.1 Vitamins and minerals

Given that malnutrition exists in some patients at the time of CC diagnosis, it is conceivable that nutritional deficiencies may contribute to the disease’s pathogenesis, given their intimate association with the immune system. Some of the nutrients potentially involved include vitamins A, C, D, and E, calcium, and various antioxidants (34). Nevertheless, one meta-analysis found elevated beta-carotene levels in the blood to be protective against CC development (OR: 0.48) in stark contrast to high vitamin A levels (35). In another study, consumption of over 502.6 mg/dL of calcium (OR: 0.54) and more than 291 IU of vitamin D (OR: 0.51) was identified as a protective factor against the development of invasive CC, except in individuals who smoke or consume alcohol (36). Other meta-analyses reported higher blood levels of vitamin E (OR: 0.52) and selenium (OR: 0.55) associated with protective effects against CC (37, 38).

3.2.1.3.2 Other nutritional indicators

Patients recently diagnosed with CC may exhibit lower circulating levels of non-enzymatic antioxidants (e.g., glutathione) and enzymatic antioxidants (e.g., glutathione S transferase, glutathione peroxidase, and superoxide dismutase). They may also have lower levels of vitamins C and E compared to patients who do not have cancer. These discrepancies could be attributed to the more significant elimination of lipid peroxides and the sequestration of glutathione by tumor cells (39). In addition, another meta-analysis revealed that while being overweight did not have a significant association with CC, obesity did have a slight correlation (OR: 1.1) (40).

3.2.1.4 Comorbidities that condition the immune response
3.2.1.4.1 Acquired immunodeficiency virus

Acquired immunodeficiency virus (HIV) infection significantly accelerates carcinogenesis in the progression of HPV infection. Studies have found that women with HIV are at a higher risk of contracting and spreading HPV (41, 42), predominantly when their CD4 count decreases (42). This demographic has a heightened incidence of both low- and high-grade squamous intraepithelial lesions and an elevated risk for developing CC, commonly as a result of HPV strains 16 and 18 (4244). A recent meta-analysis found that women with HIV have a 4.1 higher risk of developing CC than women without HIV (RR: 4.1) (42).

3.2.1.4.2 Systemic lupus erythematosus

Systemic lupus erythematosus (SLE) can lead to a dysregulated immune system, potentially prompting persistent HPV infection and subsequent CC development. Women with SLE have an increased risk of HPV infection (45), developing cervical atypia (46), accruing low-grade squamous intraepithelial lesions, and CC (46, 47). The connection between SLE and CC development was substantiated in two independent meta-analyses, both of which indicated an increased risk for CC (46, 47).

3.2.1.4.3 Other comorbidities

Gestational diabetes and rheumatoid arthritis have not been found to increase the risk of CC (48, 49). Furthermore, HPV infection has not been shown to be associated with immunosuppressive therapy or any other treatment (49).

3.2.2 Exogenous factors

3.2.2.1 Smoking

Epidemiological studies have suggested a dose-response relationship between cervical neoplasia/CC and smoking, a proposition partially corroborated by experimental studies (50). Malevolti and collaborators performed a meta-analysis that reported a combined RR of preinvasive lesions and CC for current smokers (RR: 2.11) versus never-smokers (RR: 1.70) and for former smokers (RR: 1.29) versus never-smokers (RR: 1.13). The risk increases to over 2 with a habit of approximately 20 cigarettes/day or 15 pack-years for invasive CC and about nine cigarettes/day or eight pack-years for preinvasive lesions. However, the risk subsides about 15 years after cessation of smoking (51). In terms of passive smoking as a risk factor for CC, the results are inconsistent. A multicenter case-control study did not identify passive smoking as a risk factor for invasive CC (52). Nonetheless, a separate case-control meta-analysis reported a 73% heightened risk of CC (53).

3.2.2.2 Extended use of hormonal contraceptives

In a study by Gadducci et al. (54), an increased incidence of CC was reported in users of oral contraceptives for periods of 5–9 years (RR: 1.3–1.6) and 10 years (RR 2.2–2.5). These findings corroborate a meta-analysis that reported an increased OR with oral contraceptive use for 2–5 years (OR: 1.36), >5 years (OR: 1.93), and >10 years (OR: 2.24) (55). Another study reported a significant association between oral contraceptive use for 15 years and higher risk of CIN3/cancer in situ (hazard ratio [HR]: 1.6) and invasive CC (HR: 1.8) compared to non-use. Former menopausal hormone therapy use was associated with a reduced risk of invasive CC (HR: 0.5). A restricted analysis of HPV-seropositive cases and controls revealed an inverse association between intrauterine device use and CIN3 (56). A meta-analysis examining the relationship between hormonal contraceptives and the risk of CC in various ethnic groups found no link between Caucasian, African, and mixed populations’ oral contraceptive use and CC, although there was a higher risk for CC in Asian women (OR: 1.43) (57).

3.3 Structural risk factors related to CC

Socioeconomic factors, while not direct causes of CC, can increase a woman’s susceptibility to it. Women with low socioeconomic status (SES), residing in rural areas, or with limited education often delay medical care, thereby elevating their risk levels (5861). Evidence has also shown that a lower SES correlates with a higher chance of advanced CC (62, 63). One Turkish study discovered a linear relationship between education level, understanding of CC, and coping capacity for certain situations (64). In Ethiopia, lower levels of education also corresponded to limited knowledge of CC (65). Meanwhile, in Uganda, less education was associated with a higher risk of contracting high-risk human papillomavirus (HR-HPV) (66). In Canada, there were more CC cases in rural and poorer areas than in urban or affluent locations (67). A meta-analysis suggested that low SES (OR: 2.68) or a low level of education (OR: 1.97) increases the risk of developing CC (68).

One strength of this study is its synthetic and updated review of risk factors related to the causality of CC, which will be valuable to individuals interested in epidemiology and causality analysis. Nevertheless, the main limitation is that some meta-analyses about the causes of CC are based on primary observational studies with a high risk of bias.

4 Level of evidence conclusions

a. The requisite cause for CC is both the presence and carcinogenic activity of HPV. Consequently, all supplementary risk factors reviewed function as non-independent co-factors in CC causality.

b. Notably, the most investigated risk factors, presenting moderate evidence of potentially independent risk factors for CC, include smoking (i.e., exogenous factors) and the prolonged use of hormonal contraceptives.

c. There is a considerable risk of bias in associating smoking and the risk of cervical neoplasia and CC development. This is due to reliance on observational studies featuring inadequate adjustment of prognostic factors, vague descriptions of the study population and clinical outcomes, a blend of intraepithelial neoplasia and CC as outcome measures, and the utilization of different control groups.

d. Moreover, few studies have examined the link between CC and the use of hormonal contraceptives, calling for improved control of confounding variables. The most consistent evidence relates to hormonal contraceptive usage duration, particularly periods of 5 or more years.

e. Given the cervicovaginal microbiota and comorbidities impacting the immune response, the causality evidence for CC is generally low.

f. Despite the consistent connections shown by polymorphisms studied in CC, their small magnitude requires more replication studies on CC susceptibility variants.

g. The cervicovaginal microbiota has been proposed as a crucial local immune response modifier, promoting the removal or persistence of HR-HPV infection and the risk of progression to malignancy. There is moderate evidence associating HPV infection and genital dysbiosis, although positive associations may reflect residual confounding due to unmeasured sexual risk behaviors.

h. Risk factors involving a compromised immune response predispose individuals to a more aggressive course of neoplasia but are not independent CC risk factors.

i. Comorbidities influencing a poor immune response and favoring HPV infection persistence include HIV and SLE.

j. Nutritional factors influence CC progression response. The predominantly low-quality evidence indicates that dietary components, such as vitamins, minerals, and antioxidants, might aid in eliminating HPV infection, CIN, and even carcinogenesis.

k. Sexual lifestyle and structural factors—both contributing to a higher probability of acquiring HPV infection and increasing the likelihood of CC—are risk factors with a low causality evidence level.

l. Factors linked to health-disease structural determinants are particular to certain populations. Lower education or socioeconomic status escalates the CC development risk, but causality evidence remains low.

m. Sexual history risk factors, such as beginning sexual activity at an early age and having a high number of sexual partners, are associated with a higher likelihood of being exposed to and acquiring HPV infection.

n. Co-infection of HPV with other sexually transmitted infections (e.g., Chlamydia and HSV-2) is the only known sexual life history risk factor that has been moderately proven to be causally related to cervical cancer.

o. An updated evaluation of the available scientific literature evidence via the GRADE system on CC causality and risk factors provides valuable, synthesized information for those interested in CC causality analysis and epidemiology.

5 Recommendations

a. From a public health standpoint, all the lifestyle-related risk factors examined, irrespective of the proposed causal mechanism being direct or confounding, are modifiable elements that, when reduced, can significantly decrease the risk of cervical cancer. The quality of the supporting evidence is high (GRADE), and the strength of the recommendation is strong.

b. The medical literature consistently underscores a scientifically-backed public health message regarding the importance of preventing and eliminating lifestyle factors tied to the causation of cervical cancer. By addressing these factors, the risk of cervical cancer can be reduced. The quality of evidence supporting this is high (GRADE), and the strength of the recommendation is strong.

c. Cervical cancer is the type of cancer in women with the highest potential for prevention. That said, there is an urgent need to enhance health promotion efforts, including providing health-related information on the risks of tobacco use and hormonal contraceptive utilization, implementing age- and culture-appropriate sex education, and promoting condom use. The quality of evidence supporting these measures is high (GRADE), and the strength of the recommendation is strong.

d. Fortifying health promotion programs offered in primary care units, such as adolescent and youth-friendly services at the national level, is paramount. The quality of supporting evidence is high (GRADE), and the strength of recommendation is strong.

e. Increased coverage of the primary prevention program at the national level is necessary. The quality of the supporting evidence is high (GRADE), and the strength of the recommendation is strong.

f. It is necessary to ensure adherence to available regulations and official guidelines for HPV infection prevention and CC control, considering HPV infection is the most common sexually transmitted infection leading to CC. The quality of evidence supporting this is high (GRADE), and the strength of recommendation is strong.

Author contributions

JL: Conceptualization, Data curation, Methodology, Resources, Validation, Writing – original draft, Writing – review & editing. SG: Investigation, Writing – original draft, Writing – review & editing. VG: Investigation, Writing – original draft, Writing – review & editing. KT: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by Gilead Sciences Mexico through the Sociedad Medica del Instituto Nacional de Cancerología.

Acknowledgments

Special thanks to Oscar Medina Contreras for support as a medical writer and Juan Carlos Ayala for epidemiological support in creating Figure 1.

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.

References

1. International Agency for Research on Cancer. Cancer today. Cancer incidence and mortality statistics worldwide. Cancer incidence and mortality statistics worldwide. Lyon, France: World Health Organization (2020). Available at: https://gco.iarc.fr/today/data/factsheets/cancers/23-Cervix-uteri-fact-sheet.pdf.

Google Scholar

2. Momenimovahed Z, Mazidimoradi A, Maroofi P, Allahqoli L, Salehiniya H, Alkatout I. Global, regional and national burden, incidence, and mortality of cervical cancer. Cancer Rep. (2023) 6:e1756. doi: 10.1002/cnr2.1756

CrossRef Full Text | Google Scholar

3. Bouvard V, Wentzensen N, Mackie A, Berkhof J, Brotherton J, Giorgi-Rossi P, et al. The IARC perspective on cervical cancer screening. N Engl J Med. (2021) 385:1908–18. doi: 10.1056/NEJMsr2030640

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Singh D, Vignat J, Lorenzoni V, Eslahi M, Ginsburg O, Lauby-Secretan B, et al. Global estimates of incidence and mortality of cervical cancer in 2020. Lancet Glob Heal. (2023) 11:e197–206. doi: 10.1016/S2214-109X(22)00501-0

CrossRef Full Text | Google Scholar

5. International Agency for Research on Cancer. Cancer incidence and mortality statistics in Mexico (2020). Available at: https://gco.iarc.fr/today/data/factsheets/populations/484-Mexico-fact-sheets.pdf.

Google Scholar

6. Torreglosa-Hernández S, Grisales-Romero H, Morales-Carmona E, Hernández-Ávila JE, Huerta-Gutiérrez R, Barquet-Muñoz SA, et al. Survival analysis and associated factors in patients with cervical cancer financed by the Seguro Popular in Mexico. Salud Publica Mex. (2022) 64:76–86. doi: 10.21149/13119

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Palacio-Mejía LS, Hernández-Ávila JE. Tendencia de la tasa de mortalidad según tipo de cáncer, México 2000 - 2020. Unidad de Inteligencia en Salud Pública. Available at: https://uisp.insp.mx/wp/index.php/analisis-de-la-mortalidad-por-cancer/.

Google Scholar

8. Bogdanova A, Andrawos C, Constantinou C. Cervical cancer, geographical inequalities, prevention and barriers in resource depleted countries (Review). Oncol Lett. (2022) 23:113. doi: 10.3892/ol

PubMed Abstract | CrossRef Full Text | Google Scholar

9. World Health Organization. WHO guidelines for screening and treatment of cervical pre- cancer lesions for cervical cancer prevention. 2nd. Geneva: World Health Organization (2021).

Google Scholar

10. World Health Organization. Global strategy to accelerate the elimination of cervical cancer as a public health problem. Geneva: World Health Organization (2020).

Google Scholar

11. Huang Y, Wu X, Lin Y, Li W, Liu J, Song B. Multiple sexual partners and vaginal microecological disorder are associated with HPV infection and cervical carcinoma development. Oncol Lett. (2020) 20:1915–21. doi: 10.3892/ol

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Vaccarella S, Franceschi S, Herrero R, Muñoz N, Snijders PJF, Clifford GM, et al. Sexual behavior, condom use, and human papillomavirus: Pooled analysis of the IARC human papillomavirus prevalence surveys. Cancer Epidemiol Biomarkers Prev. (2006) 15:326–33. doi: 10.1158/1055-9965.EPI-05-0577

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Almonte M, Ferreccio C, Gonzales M, Delgado JM, Buckley CH, Luciani S, et al. Risk factors for high-risk human papillomavirus infection and cofactors for high-grade cervical disease in Peru. Int J Gynecol Cancer. (2011) 21:1654–63. doi: 10.1097/IGC.0b013e3182288104

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Yang H, Xie Y, Guan R, Zhao Y, Lv W, Liu Y, et al. Factors afecting HPV infection in U.S. and Beijing females: A modeling study. Front Public Heal. (2022) 10:1052210. doi: 10.3389/fpubh.2022.1052210

CrossRef Full Text | Google Scholar

15. Ardhaoui M, Letaief H, Ennaifer E, Bougatef S, Lassili T, Bel Haj Rhouma R, et al. The prevalence, genotype distribution and risk factors of human papillomavirus in Tunisia: A national-based study. Viruses. (2022) 14:2175. doi: 10.3390/v14102175

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Torres-Poveda K, Ruiz-Fraga I, Madrid-Marina V, Chavez M, Richardson V. High risk HPV infection prevalence and associated cofactors: A population-based study in female ISSSTE beneficiaries attending the HPV screening and early detection of cervical cancer program. BMC Cancer. (2019) 19:1205. doi: 10.1186/s12885-019-6388-4

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Yang D, Zhang J, Cui X, Ma J, Wang C, Piao H. Risk factors associated with human papillomavirus infection, cervical cancer, and precancerous lesions in large-scale population screening. Front Microbiol. (2022) 13:914516. doi: 10.3389/fmicb.2022.914516

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Bhuvanendran Pillai A, Mun Wong C, Dalila Inche Zainal Abidin N, Fazlinda Syed Nor S, Fathulzhafran Mohamed Hanan M, Rasidah Abd Ghani S, et al. Chlamydia infection as a risk factor for cervical cancer: A systematic review and meta-analysis. Iran J Public Heal. (2022) 51:508–17. doi: 10.18502/ijph.v51i3.8926

CrossRef Full Text | Google Scholar

19. Zhu H, Shen Z, Luo H, Zhang W, Zhu X. Chlamydia trachomatis infection-associated risk of cervical cancer: A meta-analysis. Med (United States). (2016) 95:e3077. doi: 10.1097/MD.0000000000003077

CrossRef Full Text | Google Scholar

20. Karim S, Souho T, Benlemlih M, Bennani B. Cervical cancer induction enhancement potential of Chlamydia trachomatis: A systematic review. Curr Microbiol. (2018) 75:1667–74. doi: 10.1007/s00284-018-1439-7

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Naldini G, Grisci C, Chiavarini M, Fabiani R. Association between human papillomavirus and Chlamydia trachomatis infection risk in women: a systematic review and meta-analysis. Int J Public Health. (2019) 64:943–55. doi: 10.1007/s00038-019-01261-w

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Bahena-Román M, Sánchez-Alemán MA, Contreras-Ochoa CO, Lagunas-Martínez A, Olamendi-Portugal M, López-Estrada G, et al. Prevalence of active infection by herpes simplex virus type 2 in patients with high-risk human papillomavirus infection: A cross-sectional study. J Med Virol. (2020) 92:1246–52. doi: 10.1002/jmv.25668

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Torres-Poveda K, Burguete-García AI, Bahena-Román M, Méndez-Martínez R, Zurita-Díaz MA, López-Estrada G, et al. Risk allelic load in Th2 and Th3 cytokines genes as biomarker of susceptibility to HPV-16 positive cervical cancer: A case control study. BMC Cancer. (2016) 16:330. doi: 10.1186/s12885-016-2364-4

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Wang K, Jiao Z, Chen H, Liu X, Lu J, Liu X, et al. The association between rs1800872 polymorphism in interleukin-10 and risk of cervical cancer: A meta-analysis. Med (United States). (2021) 100:E23892. doi: 10.1097/MD.0000000000023892

CrossRef Full Text | Google Scholar

25. Vanajothi R, Srikanth N, Vijayakumar R, Palanisamy M, Bhavaniramya S, Premkumar K, et al. HPV-mediated cervical cancer: A systematic review on immunological basis, molecular biology, and immune evasion mechanisms. Curr Drug Targets. (2022) 23:782–801. doi: 10.2174/1389450123666211221160632

PubMed Abstract | CrossRef Full Text | Google Scholar

26. de Moura EL, dos Santos ACM, da Silva DM, dos Santos BB, Figueredo D de S, Moura AWA, et al. Association of Polymorphisms in Cytokine genes with susceptibility to Precancerous Lesions and Cervical Cancer: A systematic review with meta-analysis. Immunol Invest. (2021) 50:492–526. doi: 10.1080/08820139.2020.1778023

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Martínez-Nava GA, Fernández-Niño JA, Madrid-Marina V, Torres-Poveda K. Cervical cancer genetic susceptibility: A systematic review and meta-analyses of recent evidence. PloS One. (2016) 11:e0157344. doi: 10.1371/journal.pone.0157344

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Zhang X, Zhang L, Tian C, Yang L, Wang Z. Genetic variants and risk of cervical cancer: Epidemiological evidence, meta-analysis and research review. BJOG Int J Obstet Gynaecol. (2014) 121:664–73. doi: 10.1111/1471-0528.12638

CrossRef Full Text | Google Scholar

29. Wang S, Sun H, Jia Y, Tang F, Zhou H, Li X, et al. Association of 42 SNPs with genetic risk for cervical cancer: An extensive meta-analysis. BMC Med Genet. (2015) 16:25. doi: 10.1186/s12881-015-0168-z

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Mitra A, MacIntyre DA, Marchesi JR, Lee YS, Bennett PR, Kyrgiou M. The vaginal microbiota, human papillomavirus infection and cervical intraepithelial neoplasia: What do we know and where are we going next? Microbiome. (2016) 4:58. doi: 10.1186/s40168-016-0203-0

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Audirac-Chalifour A, Torres-Poveda K, Bahena-Román M, Téllez-Sosa J, Martínez-Barnetche J, Cortina-Ceballos B, et al. Cervical microbiome and cytokine profile at various stages of cervical cancer: A pilot study. PloS One. (2016) 11:e0153274. doi: 10.1371/journal.pone.0153274

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Wang H, Ma Y, Li R, Chen X, Wan L, Zhao W. Associations of cervicovaginal lactobacilli with high-risk HPV infection, cervical intraepithelial neoplasia, and cancer: a systematic review and meta-analysis. J Infect Dis. (2019) 220:1248–58. doi: 10.1093/infdis/jiz325

CrossRef Full Text | Google Scholar

33. Brusselaers N, Shrestha S, van de Wijgert J, Verstraelen H. Vaginal dysbiosis and the risk of human papillomavirus and cervical cancer: systematic review and meta-analysis. Am J Obstet Gynecol. (2019) 221:9–18.e8. doi: 10.1016/j.ajog.2018.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Tomita LY, Longatto Filho A, Costa MC, Avilla Andreoli MA, Villa LL, Franco EL, et al. Diet and serum micronutrients in relation to cervical neoplasia and cancer among low-income Brazilian women. Int J Cancer. (2010) 126:703–14. doi: 10.1002/ijc.24793

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Zhang X, Dai B, Zhang B, Wang Z. Vitamin A and risk of cervical cancer: A meta-analysis. Gynecol Oncol. (2012) 124:366–73. doi: 10.1016/j.ygyno.2011.10.012

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Hosono S, Matsuo K, Kajiyama H, Hirose K, Suzuki T, Kawase T, et al. Association between dietary calcium and vitamin D intake and cervical carcinogenesis among Japanese women. Eur J Clin Nutr. (2010) 64:400–9. doi: 10.1038/ejcn.2010.28

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Hu X, Li S, Zhou L, Zhao M, Zhu X. Effect of vitamin E supplementation on uterine cervical neoplasm: A meta-analysis of case-control studies. PloS One. (2017) 12:e0183395. doi: 10.1371/journal.pone.0183395

PubMed Abstract | CrossRef Full Text | Google Scholar

38. He D, Wang Z, Huang C, Fang X, Chen D. Serum selenium levels and cervical cancer: systematic review and meta-analysis. Biol Trace Elem Res. (2017) 179:195–202. doi: 10.1007/s12011-017-0982-6

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Manju V, Sailaja JK, Nalini N. Circulating lipid peroxidation and antioxidant status in cervical cancer patients: A case-control study. Clin Biochem. (2002) 35:621–5. doi: 10.1016/S0009-9120(02)00376-4

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Poorolajal J, Jenabi E. The association between BMI and cervical cancer risk: A meta-analysis. Eur J Cancer Prev. (2016) 25:232–8. doi: 10.1097/CEJ.0000000000000164

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Clifford GM, De Vuyst H, Tenet V, Plummer M, Tully S, Franceschi S. Effect of HIV infection on human papillomavirus types causing invasive cervical cancer in africa. J Acquir Immune Defic Syndr. (2016) 73:332–9. doi: 10.1097/QAI.0000000000001113

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Liu G, Sharma M, Tan N, Barnabas RV. HIV-positive women have higher risk of human papilloma virus infection, precancerous lesions, and cervical cancer. Aids. (2018) 32:795–808. doi: 10.1097/QAD.0000000000001765

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Abraham AG, D’Souza G, Jing Y, Gange SJ, Sterling TR, Silverberg MJ, et al. Invasive cervical cancer risk among HIV-infected women: A North American multicohort collaboration prospective study. J Acquir Immune Defic Syndr. (2013) 62:405–13. doi: 10.1097/QAI.0b013e31828177d7

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Clifford GM, Tully S, Franceschi S. Carcinogenicity of human papillomavirus (HPV) types in HIV-positive women: A meta-analysis from HPV infection to cervical cancer. Clin Infect Dis. (2017) 64:1228–35. doi: 10.1093/cid/cix135

PubMed Abstract | CrossRef Full Text | Google Scholar

45. González LA, Alarcón GS. The evolving concept of SLE comorbidities. Expert Rev Clin Immunol. (2017) 13:753–68. doi: 10.1080/1744666X.2017.1327353

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Chen Y, Wu X, Liu L. Association between systemic lupus erythematosus and risk of cervical atypia: A meta-analysis. Lupus. (2021) 30:2075–88. doi: 10.1177/09612033211048129

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Clarke AE, Pooley N, Marjenberg Z, Langham J, Nicholson L, Langham S, et al. Risk of Malignancy in patients with systemic lupus erythematosus: Systematic review and meta-analysis. Semin Arthritis Rheumatol. (2021) 51:1230–41. doi: 10.1016/j.semarthrit.2021.09.009

CrossRef Full Text | Google Scholar

48. Wang Y, Yan P, Fu T, Yuan J, Yang G, Liu Y, et al. The association between gestational diabetes mellitus and cancer in women: A systematic review and meta-analysis of observational studies. Diabetes Metab. (2020) 46:461–71. doi: 10.1016/j.diabet.2020.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Simon TA, Thompson A, Gandhi KK, Hochberg MC, Suissa S. Incidence of Malignancy in adult patients with rheumatoid arthritis: A meta-analysis. Arthritis Res Ther. (2015) 17:212. doi: 10.1186/s13075-015-0728-9

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Wei L, Griego AM, Chu M, Ozbun MA. Tobacco exposure results in increased E6 and E7 oncogene expression, DNA damage and mutation rates in cells maintaining episomal human papillomavirus 16 genomes. Carcinogenesis. (2014) 35:2373–81. doi: 10.1093/carcin/bgu156

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Malevolti MC, Lugo A, Scala M, Gallus S, Gorini G, Lachi A, et al. Dose-risk relationships between cigarette smoking and cervical cancer: a systematic review and meta-analysis. Eur J Cancer Prev. (2023) 32:171–83. doi: 10.1097/CEJ.0000000000000773

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Louie KS, Castellsague X, De Sanjos S, Herrero R, Meijer CJ, Shah K, et al. Smoking and passive smoking in cervical cancer risk: Pooled analysis of couples from the IARC multicentric case-control studies. Cancer Epidemiol Biomarkers Prev. (2011) 20:1379–90. doi: 10.1158/1055-9965.EPI-11-0284

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Zeng XT, Xiong PA, Wang F, Li CY, Yao J, Guo Y. Passive smoking and cervical cancer risk: A meta-analysis based on 3,230 cases and 2,982 controls. Asian Pacific J Cancer Prev. (2012) 13:2687–93. doi: 10.7314/APJCP.2012.13.6.2687

CrossRef Full Text | Google Scholar

54. Gadducci A, Barsotti C, Cosio S, Domenici L, Riccardo Genazzani A. Smoking habit, immune suppression, oral contraceptive use, and hormone replacement therapy use and cervical carcinogenesis: A review of the literature. Gynecol Endocrinol. (2011) 27:597–604. doi: 10.3109/09513590.2011.558953

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Asthana S, Busa V, Labani S. Oral contraceptives use and risk of cervical cancer—A systematic review & meta-analysis. Eur J Obstet Gynecol Reprod Biol. (2020) 247:163–75. doi: 10.1016/j.ejogrb.2020.02.014

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Roura E, Travier N, Waterboer T, de Sanjosé S, Xavier Bosch F, Pawlita M, et al. The influence of hormonal factors on the risk of developing cervical cancer and pre-cancer: Results from the EPIC cohort. PloS One. (2016) 11:e0147029. doi: 10.1371/journal.pone.0147029

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Peng Y, Wang X, Feng H, Yan G. Is oral contraceptive use associated with an increased risk of cervical cancer? An evidence-based meta-analysis. J Obstet Gynaecol Res. (2017) 43:913–22. doi: 10.1111/jog.13291

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Li X, Sundquist J, Calling S, Zöller B, Sundquist K. Neighborhood deprivation and risk of cervical cancer morbidity and mortality: A multilevel analysis from Sweden. Gynecol Oncol. (2012) 127:283–9. doi: 10.1016/j.ygyno.2012.07.103

PubMed Abstract | CrossRef Full Text | Google Scholar

59. McDonald YJ, Goldberg DW, Scarinci IC, Castle PE, Cuzick J, Robertson M, et al. Health service accessibility and risk in cervical cancer prevention: comparing rural versus nonrural residence in New Mexico. J Rural Heal. (2017) 33:382–92. doi: 10.1111/jrh.12202

CrossRef Full Text | Google Scholar

60. Van Der Aa MA, Siesling S, Louwman MW, Visser O, Pukkala E, Coebergh JWW. Geographical relationships between sociodemographic factors and incidence of cervical cancer in the Netherlands 1989-2003. Eur J Cancer Prev. (2008) 17:453–9. doi: 10.1097/CEJ.0b013e3282f75ed0

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Park MJ, Park EC, Choi KS, Jun JK, Lee HY. Sociodemographic gradients in breast and cervical cancer screening in Korea: The Korean National Cancer Screening Survey (KNCSS) 2005-2009. BMC Cancer. (2011) 11:257. doi: 10.1186/1471-2407-11-257

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Gauri A, Messiah SE, Bouzoubaa LA, Moore KJ, Koru-Sengul T. Cervical cancer sociodemographic and diagnostic disparities in Florida: a population-based study (1981–2013) by stage at presentation. Ethn Heal. (2020) 25:995–1003. doi: 10.1080/13557858.2018.1471669

CrossRef Full Text | Google Scholar

63. Eggleston KS, Coker AL, Williams M, Tortolero-Luna G, Martin JB, Tortolero SR. Cervical cancer survival by socioeconomic status race/ethnicity, and place of residence in Texas, 1995-2001. J Women’s Heal. (2006) 15:941–51. doi: 10.1089/jwh.2006.15.941

CrossRef Full Text | Google Scholar

64. Tiraki Z, Yılmaz M. Cervical cancer knowledge, self-efficacy, and health literacy levels of married women. J Cancer Educ. (2018) 33:1270–8. doi: 10.1007/s13187-017-1242-3

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Wakwoya EB, Gemechu KS, Dasa TT. Knowledge of cervical cancer and associated factors among women attending public health facilities in eastern Ethiopia. Cancer Manag Res. (2020) 12:10103–11. doi: 10.2147/CMAR.S262314

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Nang DW, Tukirinawe H, Okello M, Tayebwa B, Theophilus P, Sikakulya FK, et al. Prevalence of high-risk human papillomavirus infection and associated factors among women of reproductive age attending a rural teaching hospital in western Uganda. BMC Womens Health. (2023) 23:209. doi: 10.1186/s12905-023-02342-y

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Prummel MV, Young SW, Candido E, Nishri D, Elit L, Marrett LD. Cervical cancer incidence in Ontario women: Differing sociodemographic gradients by morphologic type (adenocarcinoma versus squamous cell). Int J Gynecol Cancer. (2014) 24:1341–6. doi: 10.1097/IGC.0000000000000217

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Parikh S, Brennan P, Boffetta P. Meta-analysis of social inequality and the risk of cervical cancer. Int J Cancer. (2003) 105:687–91. doi: 10.1002/ijc.11141

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: risk factors, epidemiology, causality, uterine cervical neoplasms, HPV

Citation: Luvián-Morales J, Gutiérrez-Enríquez SO, Granados-García V and Torres-Poveda K (2024) Risk factors for the development of cervical cancer: analysis of the evidence. Front. Oncol. 14:1378549. doi: 10.3389/fonc.2024.1378549

Received: 29 January 2024; Accepted: 22 April 2024;
Published: 23 May 2024.

Edited by:

Sophia George, University of Miami, United States

Reviewed by:

Angel Danchev Yordanov, Medical University Pleven, Bulgaria
Benito Chiofalo, Kore University of Enna, Italy
Giuseppe Scibilia, Gynecology And Obstetrics Department, Italy

Copyright © 2024 Luvián-Morales, Gutiérrez-Enríquez, Granados-García and Torres-Poveda. 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: Kirvis Torres-Poveda, kjtorres@insp.mx

ORCID: Julissa Luvián-Morales, orcid.org/0000-0003-1933-9306
Sandra Olimpia Gutiérrez-Enríquez, orcid.org/0000-0003-2719-766X
Víctor Granados-García, orcid.org/0000-0002-9075-576X
Kirvis Torres-Poveda, orcid.org/0000-0001-9608-9617

Disclaimer: 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.