Literature DB >> 35763509

Geographical risk pattern and temporal trends in incidence of HPV-related cancers in northern Thailand: A population-based study.

Patumrat Sripan1, Donsuk Pongnikorn2, Imjai Chitapanarux3,4,5, Arunrat Tangmunkongvorakul1, Karnchana Daoprasert2, Linda Aurpibul1, Narate Waisri5, Puttachart Maneesai5, Galyarath Wannavongs6, Voravit Suwanvanichkij1, Kriengkrai Srithanaviboonchai1,7.   

Abstract

BACKGROUND: The burden of HPV-related cancers in different regions worldwide varies according to several factors. This study aims to measure inequality in the risk of incidence of HPV-related cancers in term of geographical risk patterns in northern Thailand using a population-based cancer registry data.
METHODS: Trends in age-standardized HPV-related cancer incidence were calculated for the 2008-2017 time period. The Besag-York-Molli´e model was used to explore the spatial distribution of the relative risk (RR) of HPV-related cancers at the district level. A higher RR reflects a larger disparity. The geographical risk pattern of the diseases in two periods, 2008-2012 and 2013-2017 were described and compared.
RESULTS: From 2008 to 2017, the incidence of oropharyngeal and anal cancers showed a slightly increased trend in males but remained stable in females, the incidence of vulvar, vaginal and penile cancers were stable while the incidence of cervical cancer decreased. The RR range was closer to 1 in the second period compared to the first period. This suggests a decrease in the disparities of incidence of cervical cancer. However, in some areas near the Thai-Myanmar border, the RR values remained high.
CONCLUSION: The incidence rate of most HPV-related cancers remained low and stable over the study period in northern Thailand. For the most common HPV-related malignancy, cervical cancer, the incidence rate steadily decreased but with marked geographic disparities, possibly reflecting health inequity especially in the border areas.

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Year:  2022        PMID: 35763509      PMCID: PMC9239466          DOI: 10.1371/journal.pone.0270670

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Background

An estimated 15% of human cancers are caused by viral infections [1]. Human papillomavirus (HPV) is the most common oncogenic virus in low and medium Human Development Index (HDI) countries [2]. HPV accounts for approximately 600,000 cases of cancer of the cervix, oropharynx, anus, vulvar and penis worldwide. Overall, HPV is associated with more than 90% of anal and cervical cancers, about 70% of vaginal and vulvar cancers, 70% of oropharyngeal cancers and more than 60% of penile cancers [3]. HPV types 16 and 18 are the most common oncogenic viruses among the HPV subtypes known to cause cancer [4]. Cervical cancer is still one of the most common cancers in women in Southeast Asia [5]. The risk of HPV infection can be reduced through primary prevention, including safer sexual practices [6] and HPV vaccination, which is safe and effective [7]. Two prophylactic vaccines against HPV infection Cervarix® and Gardasil®, are available in Thailand. Both vaccines prevent HPV 16/18, and Gardasil® also prevents HPV types 6 and 11. Although, the HPV vaccine has been licensed in Thailand since 2007, it is only available primarily through private sources. With Thai public immunization programs have only been available for specific populations of school-age girls starting in 2018 and are not yet available for boys because of limited resources [8]. For people with HPV infection, secondary preventive measures can be implemented by early detection. Cervical cancer screening has been shown to reduce the incidence and mortality from the disease [9-11]. In Thailand, cervical cancer screening every five years is available for all Thai women aged 30–60 years under the Universal Health Care coverage (UHC) package. The UHC has decreased the incidence of cervical cancer [12-14] and increased survival [15] since the establishment of national screening programs. The screening strategy using Pap-smear and visual inspection with acetic acid (VIA) was started in 2005. After primary HPV 16/18 testing from cervical swabs every five years was found to be more cost-effective than cytology testing for cervical cancer in Thai women [16], the HPV testing for cervical screening was begun in 2020 as a pilot in some selected areas across the country. This method will replace conventional screening nationwide in 2022. However, there are currently no official screening guidelines for other HPV-related cancers in Thailand. Recently, the International Agency for Research on Cancer (IARC) and the Catalan Institute of Oncology (ICO) reported the global magnitude of trends in HPV-related cancers, including cervical, anal, vulvar, vaginal, penile and oropharyngeal cancers. Cervical cancer was the most common HPV-related cancer and the other cancer types were rare [17]. Although, cervical cancer incidence has been decreasing worldwide, it remains a major health problem for women [18]. Some studies showed disparities in incidence and mortality rates of genital HPV-related cancers, with rural populations having higher rates than urban populations [19, 20]. Our study aims to measure inequality in the risk of incidence of HPV-related cancers including anal, cervical, oropharyngeal, penile, vaginal, and vulvar cancers in term of spatial risk patterns in different geographic areas of northern Thailand using population-based data.

Material and methods

Data

In this study, we used data from population-based cancer registries in the upper northern provinces of Thailand, which includes Mae Hong Son, Chiang Mai, Chiang Rai, Lampang, Lamphun, Phayao, Phrae and Nan. From these registries, data of all adults (age >15 years) from January 2008 to December 2017 with the International Classification of Diseases version 10 (ICD-10) diagnoses of cervical cancer (C53) which is the most common HPV-related cancer, anal cancer (C21) and oropharyngeal cancer (C10) which are the HPV-related cancers that occur in both males and females, and gender-specific cancer included vulvar cancer (C51) vaginal cancer (C52) and penile cancer (C60) was obtained from the registries. The population database from each province was used as the denominator for calculating age-standardized incidence rates (ASR), calculated for 5-years age intervals (starting from 15–19 to 80–84 and 85+) within each study area. The home address of each patient was recorded at the district level with 103 districts (Fig 1) using their postal code not linked to specific individuals. These aggregate data can be used as a representation of individual data under the assumption of homogeneity of demographic characteristics among the persons residing in the same geographical area.
Fig 1

The study area (upper northern Thailand).

The map in this figure was produced using Quantum Geographic Information System program (QGIS) version 3.4.15–1. Source of shapefile: https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-thailand.

The study area (upper northern Thailand).

The map in this figure was produced using Quantum Geographic Information System program (QGIS) version 3.4.15–1. Source of shapefile: https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-thailand. The trends in ASR per 100,000 person-years of HPV-related cancers in the 2008–2017 time period were analyzed using the data from six cancer registries in the time period of 2008–2012 and eight cancer registries in the 2013–2017 time period because the Mae Hong Son and Nan cancer registries did not exist before 2013. The geographical risk pattern of HPV-related cancers in 8 provinces, all upper northern Thailand, was described using the later 5-year periods (2013–2017). The temporal change by geographical areas between the two 5-years period 2008–2012 and 2013–2017, were described using data from six cancer registries, excluding Mae Hong Son and Nan. In the registries, more than 80% of the cancer diagnoses were morphologically verified (MV%) and less than 5% of the cancer diagnoses were from death certificate only (DCO%) in which the confirmed information could not be traced back. This indicates satisfactory data quality for the cancer registry data [21].

Statistical analyses

In this study, the Besag-York-Mollié (BYM) model [22] was used to explore the spatial distribution for HPV-related cancer risk in northern Thailand. We estimated the relative risk (RR) of HPV-related cancer incidence for each district in upper northern Thailand and compared it to the incidence in the entire northern region of the country, which used as the baseline reference, and calculated 95% credible intervals (CrI). The RR were significantly higher than 1 when the 95% CrI were over 1. A map of the incidence patterns was then generated using the Quantum Geographic Information System program (QGIS) version 3.4.15–1 [23]. The shapefile used was from Global Administrative Database (geoBoundaries): an online, open license resource of the geographic boundaries of political administrative divisions [24]. This study was approved by the Human Experimentation Committee of Research Institute for Health Sciences, Chiang Mai University and the Research Ethics Committee of the Lampang Cancer Hospital.

Results

Study population

Our study analyzed data of patients diagnosed with HPV-related cancers over two time periods: 4,448 patients in 2008–2012 and 3,883 patients in 2013-2017.The proportion of anal, cervical, oropharyngeal, penile, vaginal, and vulvar cancers was 104 (2.3%), 3,930 (88.4%), 52 (1.2%), 205 (4.5%), 48 (1.1%), and 109 (2.4%), respectively, in the first time period, and 141(3.6%), 3,229 (83.2%), 86 (2.2%), 224 (5.8%), 50 (1.3%), and 153 (3.9%), respectively, in the second time period. Quality of data indicators for the cancer registry and cancer sites are shown in S1 Table. The MV% ranged from 75 to 90 for cancer patients diagnosed in 2008–2012 and from 80 to 91 for cancer patients diagnosed in 2013–2017.

Temporal trends in HPV-related cancers

The incidence of cervical cancer in the upper northern region of Thailand noticeably decreased from an ASR of 24.8 per 100,000 person-years in 2008 to an ASR of 13.2 per 100,000 person-years in 2017 (Fig 2).
Fig 2

Trends in the incidence of cervical cancer in upper northern Thailand.

During the entire study period, from 2008 to 2017, the ASR per 100,000 person-years for anal cancer did not change and remained stable at around 0.3 in both sexes (range: 0.25–0.48, 0.25–0.61 in males and 0.19–0.42 in females). The ASR per 100,000 person-years for oropharyngeal cancer did not change and remained stable at around 0.2 (range: 0.09–0.26, 0.16–0.40 in males and 0.3–0.14 in females). For more gender-specific HPV-related cancers, the ASR per 100,000 person-years remained stable at around 1.3 for penile (range: 0.99–1.42) cancer, 0.2 for vaginal cancer (range: 0.15–0.31), and 0.6 for vulvar cancer (range: 0.50–0.77) (Fig 3).
Fig 3

Trends in the incidence of non-cervical HPV-related cancers.

Geographical risk pattern of HPV-related cancers

Cervical cancer

The geographic variations in RR of cervical cancer in the time period of 2013–2017 in upper Northern Thailand by district is shown in Fig 4. The areas with RR >1 were shown in S2 Table (range from 1.05 to 2.23). The incidence rates of cervical cancer were significantly higher than the average of the incidence in Northern Thailand (baseline reference), in order from high (dark red) to low (green) value of RR were found in districts of Chiang Mai Province, Chiang Rai Province, Phrae Province, Mae Hong Son Province, Phayao Province and Lamphun Province (Fig 4).
Fig 4

Geographic variation in relative risk of cervical cancer by district in upper northern Thailand.

The map in this figure was produced using QGIS version 3.4.15–1. Source of shapefile: https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-thailand.

Geographic variation in relative risk of cervical cancer by district in upper northern Thailand.

The map in this figure was produced using QGIS version 3.4.15–1. Source of shapefile: https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-thailand. The incidence of cervical cancer compared to the baseline reference was significantly higher in 21 districts in 2008–2012 (Fig 5A) and remained higher in 16 districts in 2013–2017 (Fig 5B) (S3 Table). These were districts bordering Myanmar (Fig 5).
Fig 5

Temporal changes in relative risk of cervical cancer by geographic area in northern Thailand.

The map in this figure was produced using QGIS version 3.4.15–1. Source of shapefile: https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-thailand.

Temporal changes in relative risk of cervical cancer by geographic area in northern Thailand.

The map in this figure was produced using QGIS version 3.4.15–1. Source of shapefile: https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-thailand.

Non-cervical HPV-related cancers

The geographical risk pattern of non-cervical HPV-related cancers in the 2013–2017 time period are shown in Fig 6 and Fig 7. The incidence rate of HPV related cancers was significantly higher than the baseline reference. The RR were significantly higher than 1 for anal cancer in a specific district of Lamphun Province (RR = 1.26, 95% CrI:1.03–1.51) and a district of Chiang Mai Province (RR = 1.24, 95% CrI:1.02–1.49) (Fig 6A), and significantly higher than 1 for oropharyngeal cancer in a specific district of Chiang Mai Province (RR = 1.34, 95% CrI:1.02–1.71) (Fig 6B).
Fig 6

Geographic variations in the relative risk of a) anal cancer and b) oropharyngeal cancer. The map in this figure was produced using QGIS version 3.4.15–1. Source of shapefile: https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-thailand.

Fig 7

Geographical risk pattern of gender-specific HPV-related cancers.

a) penile cancer, b) vaginal cancer, and c) vulvar cancer. The map in this figure was produced using QGIS version 3.4.15–1. Source of shapefile: https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-thailand.

Geographic variations in the relative risk of a) anal cancer and b) oropharyngeal cancer. The map in this figure was produced using QGIS version 3.4.15–1. Source of shapefile: https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-thailand.

Geographical risk pattern of gender-specific HPV-related cancers.

a) penile cancer, b) vaginal cancer, and c) vulvar cancer. The map in this figure was produced using QGIS version 3.4.15–1. Source of shapefile: https://data.humdata.org/dataset/geoboundaries-admin-boundaries-for-thailand. The incidence rate of gender-specific HPV related cancers varied by geographical area. For HPV related cancer in men, the incidence rate of penile cancer was significantly higher than the baseline reference in the districts of Chiang Rai Province, Mae Hong Son Province, Chiang Mai Province, Lampang Province and Chiang Rai Province (Fig 7A) with RR ranging from 1.22 to 8.63 (S2 Table). The incidence rate of HPV related cancer in women was significantly higher than the baseline reference for vaginal cancer in some districts of Phayao province and some districts in Chiang Rai province (Fig 7B) with RR significantly higher than 1 (1.56 to 2.70, S2 Table), and significantly higher than the baseline reference for vulvar cancer in districts of Chiang Mai Province and Chiang Rai Province (RR 1.29–1.73, S2 Table) (Fig 7C).

Discussion

The trends in incidence of HPV-related cancers in northern Thailand varied by cancer type. From 2008 to 2017, the incidence of oropharyngeal and anal cancers, slightly increased from 2008 to 2017 in men but remained stable in women, the incidence of the gender-specific HPV-related cancers (cervical, vulvar and vaginal cancers in females and penile cancer in males) excluding cervical cancer remained stable and the incidence of cervical cancer, the most common HPV-related cancer, decreased (Fig 1). Several studies in Thailand have reported incidence trends of cervical cancer, but trends of other HPV-related cancers have been less frequently evaluated [14, 15, 25–27]. Our study is one of only a few studies reporting the magnitude of HPV-related cancer incidence in Thailand. The incidence trends in HPV-related cancers in our study conformed to results reported by IARC and ICO which used data from 2008 to 2012 [17]. Similarly, in the USA, overall incidence rates increased for oropharyngeal, anal and vulvar cancers, decreased for cervical and vaginal cancers, and remained stable for penile cancer. The decline in cervical cancer in the US population from 1999 to 2015 represents a trend since the 1950s which is largely attributable to cancer screening [28]. Decreases in cervical cancer incidence have also been found in other low- and middle-income countries [18]. Similar trends have been observed in other studies in the Thai population, in which the incidence of cervical cancer decreased [12-14] while survival increased [15]. The decreased incidence of cervical cancer likely reflects the overall impact of national policies on HPV-related cancer. Our previous study in Chiang Mai province showed a reduction of incidence and mortality rates of cervical cancer mainly in urban areas but no significant decrease in more rural areas [20]. Thus, spatial analyses of HPV-related cancers may help us to better understand the geographic variations of the disease burden and provide insight into important public health determinants of the incidence of HPV-related cancers. This data will be essential for prevention and control of these malignancies, particularly cervical cancer, which is the most common HPV-related cancer. This study demonstrates significant geographical disparities in the incidence of all HPV-related cancers in the later periods (2013–2017). Since most of the HPV-related cancers were rare except for cervical cancer, we could only describe temporal changes in the relative risk of cervical cancer by geographic area. The inequality in the decrease of cervical cancer incidence in the later period is reflected in the RR being closer to 1. Our results show a decrease in the number of areas where the incidence rates were significantly higher than the average incidence in this region of Thailand in the later period (2013–2017) compared to the previous period (2008–2012). That is may be a result of the combination of the prevention program and national screening program in Thailand under the UHC. However, the incidence is still high in some areas. This trend happened the same way in southern Thailand and Costa Rica, the other part of the world where the incidence rates of cervical cancer decreased over time but with the rates at some border areas remaining high compared with the rest of the study area [27, 29]. These studies suggest that populations in border regions of the country should be prioritized for cervical cancer control. Our spatial analyses of HPV-related cancer incidence in the more recent period (2013–2017) showed that the disease was unevenly distributed and varied significantly by geographical area. A higher risk of cervical, vaginal, vulvar, and penile cancers was found in many areas near the border with Myanmar. This may be related to documented challenges in transnational mobility and associated health care access as reported in a qualitative study by medical and non-medical hospital staff responsible for implementing facility-level policies and providing health services for transnational populations [30]. This could explain the disparity in access to HPV prevention strategies, including screening and vaccination under the UHC, in the populations along the border areas because these prevention strategies only cover some categories of Thai citizens and not migrant people. The highest cervical cancer RR are likely to be in border areas, primarily along the Chiang Rai and Chiang Mai border but not the Mae Hong Son border. This is might be due to the economically-active border and the large scale legal transborder migration in Chiang Rai and Chiang Mai. The small number of checkpoints in upper northern Thailand are located in districts of Chiang Rai province, Mae Sai District and some in Chiang Saen District. In some areas, there were also problems from STD in the past because of covert commercial sex [30]. Prevention programs include avoiding unprotected sex and educating people about how safe sexual activities can reduce STDs. During the last decade, the Thai government has made efforts on these programs in order to decrease STD incidence. This might also result in partially reducing HPV infection and HPV-related cancers in Thailand. HPV infection and the risk of subsequent related malignancies can also be reduced through HPV immunization programs targeting younger populations, especially before sexual debut [7]. The effect of HPV immunization on prevalence of HPV infection might be seen in the next generation. The Thai national immunization program has included HPV vaccination for all Thai national female students in grade 5 since 2018 under the UHC with full reimbursement [8]. To reduce disparities in the incidence of HPV-related cancers, this primary prevention strategy may be an effective and practical strategy in the near future and the government should make more efforts to promote this strategy for populations in particular in the border areas. One limitation of our study is that the population-based data set did not include potentially confounding variables such as HPV infection status, and tobacco and alcohol intake [31-35]. The attributable risk for HPV related cancer largely varies according to cancer type, strong association with cervical cancers and less association with oropharyngeal cancer. The high incidence of some HPV-related cancers, particularly oropharyngeal cancer, in Chiang Mai province, Chiang Rai province and Mae Hong Son province was possibly related to high prevalence of smoking in those areas in the decades before Thailand inducted a national tobacco control measure in 1989 [36]. Potential confounding variables including lifestyle and cultural differences which have direct impacts on the incidence of HPV-related cancers should also be addressed. HPV prevalence is the most important factor that should be measured. This information has not been available for northern Thailand. The inequality in knowledge about HPV prevalence was also found. A number of studies reported various proportions of HPV infection in patients diagnosed with different type of HPV related cancers. Nevertheless, mostly the study population were living in city areas [37-43]. Only a few studies reported prevalence of HPV in the general Thai population. In women attending a cervical cancer screening mobile unit in Lampang, the prevalence of HPV DNA was 5.4% [44]. Another study found that the prevalence of HPV DNA was higher among women from the northern region than the south (9.1% vs 3.9%) [45]. Primary HPV testing has been included under the UHC since 2020 and will cover the entire country in 2022. This data will allow us to better understand the geographic difference of HPV prevalence in Thailand. Future research should be conducted to explain the reasons behind the inequality in incidence of HPV-related cancer in the era of HPV testing under the UHC. Another limitation of our study is that the geographical pattern of RR of HPV-related cancer could be only evaluated in the second period of our study because the two newest population-based cancer registries, for Mae Hong Son and Nan, only existed in the second period. Therefore, we could describe the temporal changes in relative risk of cervical cancer by geographic area of Northern Thailand using the data from only six cancer registries (Fig 3). S1 Table shows that by combining data from all cancer registries in Northern Thailand, the data quality was satisfactory. Satisfactory is considered to mean MV% of more than 75% for all cancer sites and DCO% not exceeding 5% [21].

Conclusion

In conclusion, the trends in incidence were slightly increasing for oropharyngeal and anal cancers in males, stable and low for vulvar, vaginal cancers and penile cancer, and decreasing for cervical cancer in our study in the northern Thai population. Although, the cervical cancer incidence rates steadily decreased in the later period (2013–2017) compared to the earlier period (2008–2012), the incidence in some specific areas remained high, particularly in rural communities along the Thai-Myanmar border in Chiang Mai and Chiang Rai provinces. This suggests that significant gaps exist in health care coverage of these areas, particularly access to routine cervical cancer screening for women. Future research should address the vulnerabilities contributing to significant health disparities in these populations. In the near future, HPV vaccination should be an important strategy to reduce these disparities and incidence of HPV related-cancer. We encourage health authorities to scale up the coverage of HPV vaccination in the young population before they become sexually active particularly in high-risk areas.

Data quality indicators.

(DOCX) Click here for additional data file.

Areas with relative risk (RR) significantly higher than 1 by cancer type, 2013–2017.

(DOCX) Click here for additional data file.

Areas with relative risk (RR) significantly higher than 1 for cervical cancer by time period.

(DOCX) Click here for additional data file. (XLSX) Click here for additional data file. 7 Apr 2022
PONE-D-22-0405
Inequality in the Risk of Incidence of HPV-related Cancers in Northern Thailand Population-Based Spatial Analysis
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Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information. 7. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. Additional Editor Comments: P5 L117 what was the rationale for selecting those 2 particular time periods? It might be worth highlighting that both are 5 year periods. P5 L120 what is meant by “morphologic verification”? later in the manuscript it appears that this was abbreviated to MV%? If so, please clarify P5 L121 The part about diagnosis from death certificate is also a bit unclear and should be better explained. P5 L128 the methods mention that credible intervals (CrI) were calculated. However, this information is never shown in the manuscript. Consider including the calculated information at least in supplementary tables P5 L129 Some reference, version number, or at least a link to the QGIS program should be provided. Are there some specific options used that would allow others to analyze the data in the same way? P5 L138 the cancer types and numbers provided should be sorted in some meaningful order. Ie HPV involvement, descending numbers, alphabetical order or some other consistent order. The same order should be used in Supplementary Table 1 as well as throughout the manuscript and figures P6 L148 the sentence “The RR ranges from 1.05 to 2.23“ might be factually inconsistent with figure 2 since it is obvious that some regions pictured have RR <1 P6 L149 and 153 (and elsewhere) Was some statistical test performed to compare incidences between study regions or time periods, if so some p value and test used should be shown? If not, the use of “significantly” might be misleading and should be replaced with “noticeably” or some other similar word which could not be misunderstood for statistical significance. Can the underlying data of Figures 1/4 be supplied as supplemental table (and include the same information for other cancer types? Figures 1 and 4 should be combined since they present very similar data, at least as subpanels Can Figure 2/3/5/6 colour scales be changed so that RR less than one is in shades of green (good) and RR above 1 in shades of red (bad) or some other 2 color scale combination. Currently it is difficult to spot areas with RR~1 and maybe areas with lower RR are not emphasized as such and appear more like a „baseline“ instead of "less than average" Instead of repeatedly listing the names of 103 provinces in each figure 2/3/5/6 please make a supplementary table with all the names and refer to this list from each figure legend. The same supplementary table could/should include some of the underlying data (ie. actual number of cases found for each cancer type as well as the actual calculated RR number, population used for calculation, etc.. Subheadings could be emphasized by bold font to be better distinguishable from main text. First line paragraph indents are inconsistently used (ie. P7 L173 vs 179) The language needs some revision and proofreading with some particular points highlighted below P3 L62 „cancers cause by viral infections“ should be „are caused by“ P3L83 „and increase survival“ should be „and increased survival“ P4 L100 typo “oropharyngeal, virginal, vulvar,“ should be vaginal P5 L138 typo space „48(1.1%)“ P9 L226 lack of commas „cervical vaginal vulvar and“ P9 L227 grammar „This may relevant to the limited“ P9 L233 grammar „some categories Thai citizens“ [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly Reviewer #2: Yes Reviewer #3: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: No Reviewer #2: No Reviewer #3: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This manuscript reports trends in age-standardized HPV-related cancer incidence over the time period from 2008-2017. I have below comments and questions. What’s “MV%”, ASR and DCO%? Please define acronyms the first time they appear in the text. The screening strategy using Pap-smear and visual inspection with acetic acid (VIA) has started in 2005. Why separate the data into two time periods as 2008-2012 and 2013-2017? In the results, please report calculated 95% credible intervals. In Figures 5 and 6, which time period was presented for the incidences by province? Page 169-172, From figure 5, it has no information for sex. Why do you say that the incidence rate of HPV related cancers in “both sexes” were significantly higher than the average incidence in Northern Thailand in a specific district of Lamphun Province? Reviewer #2: I found this paper an interesting one, week designed conducted and analyzed. I have few concerns: 1) In my opinion the authors should further stress the concept that the attributable risk for HPV related cancer largely varies according to cancer type -it is 100% only for cervical cancer. Therefore any interpretation must take into account the other risk factors -e.g., smoking for oral cavity. 2) The English text needs revision Reviewer #3: Thank you for an interesting submission that provides useful data for the readership. I have a few suggestions that would improve the manuscript: 1. Title - the use of spatial analysis in the title is a little confusion - I would suggest 'Geographical and Temporal trends in HPV-related cancers in Northern Thailand' as an alternative 2. Results - I would separate out temporal trends in incidence and then geographical. When presenting the temporal trends in the text I think you should be more explicit that there was no increase over time (then present the range). At first glance it appears that you say there is no increase and then present the ASR that appears to rise. The figures help of course. 3. Results - Figure of ASR - I would have a single figure with all cancer types (as opposed to cervical cancer separate) 4. Results - geographical spread figure(s) - these are going to be very difficult to read on the page - suggest pick out the key one or two and put the rest in supplementary material. 5. Discussion - para 3 - sentence ' This may relevant to the limited to the domain....' this is poorly written and would be better simplified e.g. 'This may be related to documented challenges in transnational mobility and associated health care access'. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No Reviewer #3: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.
5 May 2022 Please find the attached file named "Response to Reviewers". Submitted filename: Response to Reviewers.docx Click here for additional data file. 15 Jun 2022 Geographical Risk Pattern and Temporal Trends in Incidence of HPV-related Cancers in Northern Thailand: A Population-Based Study PONE-D-22-04051R1 Dear Dr. Srithanaviboonchai, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Ivan Sabol Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed Reviewer #3: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: (No Response) Reviewer #2: Yes Reviewer #3: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: (No Response) Reviewer #2: Yes Reviewer #3: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: (No Response) Reviewer #2: Yes Reviewer #3: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: (No Response) Reviewer #2: (No Response) Reviewer #3: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: (No Response) Reviewer #2: The authors had revised the manuscript in accordance with all suggestions. Now it can be published without further revisions. Reviewer #3: (No Response) ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: Yes: Diego Serraino, MD Reviewer #3: No ********** 20 Jun 2022 PONE-D-22-04051R1 Geographical Risk Pattern and Temporal Trends in Incidence of HPV-related Cancers in Northern Thailand: A Population-Based Study Dear Dr. Srithanaviboonchai: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Ivan Sabol Academic Editor PLOS ONE
  38 in total

1.  An intuitive Bayesian spatial model for disease mapping that accounts for scaling.

Authors:  Andrea Riebler; Sigrunn H Sørbye; Daniel Simpson; Håvard Rue
Journal:  Stat Methods Med Res       Date:  2016-08       Impact factor: 3.021

2.  Cancer incidence in northern Thailand: Results from six population-based cancer registries 1993-2012.

Authors:  Donsuk Pongnikorn; Karnchana Daoprasert; Narate Waisri; Mathieu Laversanne; Freddie Bray
Journal:  Int J Cancer       Date:  2017-12-28       Impact factor: 7.396

3.  The association of alcohol and tobacco with cancer of the mouth and pharynx.

Authors:  A Z Keller; M Terris
Journal:  Am J Public Health Nations Health       Date:  1965-10

4.  Effect of smoking cessation and tobacco type on the risk of cancers of the upper aero-digestive tract in Brazil.

Authors:  N F Schlecht; E L Franco; J Pintos; L P Kowalski
Journal:  Epidemiology       Date:  1999-07       Impact factor: 4.822

5.  Relationship among human papillomavirus infection, p16(INK4a), p53 and NF-κB activation in penile cancer from northern Thailand.

Authors:  Masachika Senba; Naoki Mori; Shuichi Fujita; Prapan Jutavijittum; Amnat Yousukh; Kan Toriyama; Akihiro Wada
Journal:  Oncol Lett       Date:  2010-07-01       Impact factor: 2.967

6.  Impact of cervical screening on cervical cancer mortality: estimation using stage-specific results from a nested case-control study.

Authors:  Rebecca Landy; Francesca Pesola; Alejandra Castañón; Peter Sasieni
Journal:  Br J Cancer       Date:  2016-09-15       Impact factor: 7.640

7.  Trends of cervical cancer at global, regional, and national level: data from the Global Burden of Disease study 2019.

Authors:  Xingxing Zhang; Qingle Zeng; Wenwen Cai; Weiqing Ruan
Journal:  BMC Public Health       Date:  2021-05-12       Impact factor: 3.295

8.  Transnational Mobility and Utilization of Health Services in Northern Thailand: Implications and Challenges for Border Public Health Facilities.

Authors:  Natthani Meemon; Seung Chun Paek; Penchan Pradubmook Sherer; Wilasinee Keetawattananon; Thammarat Marohabutr
Journal:  J Prim Care Community Health       Date:  2021 Jan-Dec

Review 9.  Population-based HPV vaccination programmes are safe and effective: 2017 update and the impetus for achieving better global coverage.

Authors:  Julia M L Brotherton; Paul N Bloem
Journal:  Best Pract Res Clin Obstet Gynaecol       Date:  2017-09-06       Impact factor: 5.237

10.  Inequality in the Incidence of Cervical Cancer: Costa Rica 1980-2010.

Authors:  Carolina Santamaría-Ulloa; Cindy Valverde-Manzanares
Journal:  Front Oncol       Date:  2019-01-10       Impact factor: 6.244

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