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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1615492</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Trends in cancer incidence and mortality in the process of metropolitanization of Shanghai, 1973&#x2013;2017</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Qin</surname>
<given-names>Jiejie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wu</surname>
<given-names>Mengyin</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhao</surname>
<given-names>Shulin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
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<contrib contrib-type="author">
<name>
<surname>Gu</surname>
<given-names>Kai</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<contrib contrib-type="author">
<name>
<surname>Cai</surname>
<given-names>Renzhi</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Ziwei</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Defeng</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Jingyan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2853152/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yao</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shen</surname>
<given-names>Baiyong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shi</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Shanghai Key Laboratory of Pancreatic Neoplasms Translational Medicine, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Research Institute of Pancreatic Diseases, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Clinical Research Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Division of Noncommunicable Diseases and Injury, Shanghai Municipal Center for Disease Control and Prevention</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Vital Statistics, Division of Health Information, Shanghai Municipal Center for Disease Control and Prevention</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Shanghai Institute of Microsystem and information Technology, Chinese Academy of Sciences</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrinology and Metabolism, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jianhua Yin, Second Military Medical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jaba Tkemaladze, Longevity Clinic Georgia Inc, Georgia</p>
<p>Shujuan Lin, Putian University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yan Shi, <email xlink:href="mailto:shiyancdc@outlook.com">shiyancdc@outlook.com</email>; Baiyong Shen, <email xlink:href="mailto:shenby@shsmu.edu.cn">shenby@shsmu.edu.cn</email>; Wei Yao, <email xlink:href="mailto:wei.yao@mail.sim.ac.cn">wei.yao@mail.sim.ac.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1615492</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Qin, Wu, Zhao, Gu, Cai, Tang, Zhu, Tian, Yao, Shen and Shi.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Qin, Wu, Zhao, Gu, Cai, Tang, Zhu, Tian, Yao, Shen and Shi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>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.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Shanghai has become a modern and international metropolis. A more comprehensive understanding of cancer incidence and mortality rates and socioenvironmental factors is explored to develop effective cancer control policies in Shanghai.</p>
</sec>
<sec>
<title>Methods</title>
<p>Cancer registration data are currently collected in Shanghai from 1973 to 2017, and socioenvironmental factors were obtained from the Shanghai statistical yearbook. Multivariate ridge regression analysis explored the contributions of socioenvironmental factors to cancer incidence and mortality, and the estimated annual percentage change (EAPC) was calculated for each cancer type by gender and district.</p>
</sec>
<sec>
<title>Results</title>
<p>Multivariate ridge regression analysis indicated that the number of divorces, total waste gas from industry, areas of buildings completed, and number of computers probably drove the increase in cancer incidence, and health expenditure and medical insurance cost probably contributed to the decrease in cancer mortality in Shanghai. Age-standardized cancer incidences of the lung in female patients, prostate, thyroid, and cervix increased most, and the incidence and mortality of esophagus, liver, and stomach cancers decreased most in Shanghai from 2002 to 2017. The most common cancer sites diagnosed were lung, colorectal, female breast, and male prostate in Shanghai in 2017, similar to the pattern in high-income countries. Stricter air control strategies, lower divorce rates, healthier lifestyles, and more effective HPV vaccination campaigns may be useful actionable measures of cancer prevention.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The longitudinal cancer data from the real world, which span decades, reported here and Shanghai&#x2019;s experience in cancer prevention and control can be a reference for government guidelines in preventing population-level cancer incidence during city development.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cancer</kwd>
<kwd>incidence</kwd>
<kwd>mortality</kwd>
<kwd>trend</kwd>
<kwd>socioenvironment</kwd>
<kwd>metropolitanization</kwd>
</kwd-group>
<contract-num rid="cn001">82304212, 82273356</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="27"/>
<page-count count="8"/>
<word-count count="3106"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Epidemiology and Prevention</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Cancer has been the leading cause of death and a significant public health issue in China (<xref ref-type="bibr" rid="B1">1</xref>). Shanghai is a significant economic and cultural center in China, and its rapid metropolitanization may cause population growth or aging or sociodemographic changes (<xref ref-type="bibr" rid="B2">2</xref>), which may impact cancer burden. Earlier studies have documented cancer burden in Shanghai, highlighting trends in cancer incidence in urban Shanghai from 1973 to 2010 (<xref ref-type="bibr" rid="B3">3</xref>) and urban&#x2013;rural disparities in cancer incidence and mortality from 2002 to 2015 (<xref ref-type="bibr" rid="B4">4</xref>). However, it is rarely known whether socioenvironmental factors impact cancer incidence and cancer mortality in the process of the metropolitanization of Shanghai.</p>
<p>A more comprehensive understanding of cancer incidence and mortality and socioenvironmental factors is crucial to formulate effective cancer control policies. Therefore, this study presented cancer incidence and mortality trends in Shanghai, potential socioenvironmental factors probably attributing to these trends, cancer incidence and mortality pattern, and their implications for cancer control in Shanghai.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Data source</title>
<p>To comprehensively investigate and interpret the change of cancer trends, cancer registration data are currently collected in urban Shanghai from 1973 to 2017 and in rural Shanghai from 2002 to 2017. Factors associated with society and environment were collected from the Shanghai statistical yearbook, including population, population density, GDP per capita, total waste gas from industry, computers per hundred families, areas of buildings completed, divorce, total health expenditure, and medical insurance cost. Cancer registration utilizes internationally recognized ICD-10 codes for classification. Single cancer site and site groups comprising multiple sites were analyzed as the predominant causes of cancer incidence and death. Cancer sites in this study included nasopharynx (C11), esophagus (C15), stomach (C16), bowel (C18-20), liver (C22), gallbladder (C23-24), pancreas (C25), lung (C33-34), breast (C50), cervix (C53), uterus (C54), ovary (C56), prostate (C61), kidney (C64), bladder (C67), brain and central nervous system (C70-72), thyroid (C73), lymphoma (C81-86, C96), and leukemia (C91-C95). This study has been reviewed and approved by the Ethics Committee of Shanghai Municipal Center for Disease Control and Prevention.</p>
</sec>
<sec id="s2_2">
<title>Statistical analysis</title>
<p>EAPC values were calculated using a reported method of a generalized linear regression model with quasi-Poisson link function (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). The study measured age-standardized cancer incidence and mortality rates per 100,000 as the outcome, with time from 2002 to 2017 serving as the independent variable. EAPC was estimated using the formula (exp (&#x3b2;^&#x2212;1)&#x2019; 100, where &#x3b2;^ represented the estimated slope of the period variable. The 95% confidence interval (CI) is calculated from the fitted quasi-poison regression model (<xref ref-type="bibr" rid="B7">7</xref>). Trend analysis was based on the methodology outlined in the published paper (<xref ref-type="bibr" rid="B5">5</xref>). In brief, the criteria were followed: firstly, an increasing trend was identified when the EAPC value exceeds zero and the corresponding <italic>p</italic>-value was less than 0.05, indicating a notable upward trend with statistical significance. Secondly, a statistically significant decline trend was observed when the EAPC value was below 0 and the corresponding <italic>p</italic>-value was less than 0.05. Ultimately, when these conditions were unmet, cancer trends were determined to have remained stable. Univariate linear regression and multivariate ridge regression are used to quantify the contribution of each factor on cancer incidence and mortality trends. R version 4.4.2 was used for statistical analysis (<xref ref-type="bibr" rid="B8">8</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Socioenvironmental factors could influence cancer incidence and mortality trends in Shanghai</title>
<p>Between 1978 and 2017, Shanghai transformed into a modern international metropolis, experiencing significant growth in population, population density, and GDP per capita (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A&#x2013;C</bold>
</xref>). The economic growth and increasingly urbanized and westernized lifestyle resulted in increasing environmental pollution (<xref ref-type="bibr" rid="B9">9</xref>). During the metropolitanization of Shanghai, outdoor and indoor environmental pollution (increases in waste gas from industry and buildings completed, <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1D, E</bold>
</xref>), westernized lifestyles reflected by the increasing number of computers (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1F</bold>
</xref>), and mental stress (more divorce cases and higher price of real estate, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1G</bold>
</xref>)&#x2014;all of these socioenvironmental factors were positively correlated with cancer incidence (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), probably driving the increase in new cancer cases by 189.9% from 12,008 in 1973 to 34,810 in 2017 and an increase in crude cancer incidence by 170.6% from 213.4 in 1973 to 577.5 per 100&#x2013;000 in 2017 in urban Shanghai, respectively (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1H</bold>
</xref>). Even though we adjusted the impact of age using Segi&#x2019;s world population in 1960, an increase in age-standardized cancer incidence was observed in urban Shanghai from 1973 to 2017. In addition, screening projects and advanced early-stage diagnosis technology may contribute to the upward trend in cancer incidence. Facing the severe cancer burden, Shanghai made more efforts to improve the prognosis of cancer patients. Increasing health expenditure and medical insurance cost were negatively correlated with cancer mortality (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1I, J</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), probably attributing to the decline of age-standardized cancer mortality in urban Shanghai between 1973 and 2017 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1H</bold>
</xref>). The increasing crude mortality may be the result of aging and population increase over time (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1H</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Analysis of socioenvironmental trends alongside cancer incidence and mortality rates over time in Shanghai. <bold>(A&#x2013;C)</bold> Trends in population, population density, and GDP per capita in Shanghai from 1978 to 2017. <bold>(D&#x2013;G)</bold> Trends in total waste gas from industry, area of building completed, the number of computers per hundred families, and the number of divorces over time in Shanghai. <bold>(H)</bold> Analysis of crude and age-standardized cancer incidence and mortality in urban Shanghai from 1973 to 2017. <bold>(I, J)</bold> Trends in total health expenditure and medical insurance cost for all cancers over time in Shanghai.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1615492-g001.tif">
<alt-text content-type="machine-generated">A set of ten graphs (A-J) showing various trends in Shanghai from 1978 to 2017. The graphs illustrate: A) Resident population, B) Population density, C) GDP per person, D) Industrial waste gas, E) Building area, F) Computers per hundred families, G) Divorce rate, I) Health expenditure, and J) Medical insurance cost. Graph H is a bar chart with overlaid line charts indicating new cases, deaths, crude and ASR incidence, and mortality from 1973 to 2017. All graphs show increasing trends over the years.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Correlation analysis between cancer incidence and mortality and socioenvironmental factors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Dependent variable</th>
<th valign="top" rowspan="2" align="center">Independent variable</th>
<th valign="top" colspan="2" align="center">Univariate linear regression analysis</th>
<th valign="top" align="center">Multivariate ridge regression</th>
</tr>
<tr>
<th valign="top" align="center">Standard coefficient</th>
<th valign="top" align="center">
<italic>P</italic>-value</th>
<th valign="top" align="center">Standard coefficient</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="left">Incidence</td>
<td valign="top" align="left">Divorces</td>
<td valign="top" align="left">0.915</td>
<td valign="top" align="left">&lt;0.0001</td>
<td valign="top" align="left">0.314</td>
</tr>
<tr>
<td valign="top" align="left">Waste gas from industry</td>
<td valign="top" align="left">0.702</td>
<td valign="top" align="left">&lt;0.0001</td>
<td valign="top" align="left">0.303</td>
</tr>
<tr>
<td valign="top" align="left">Area of buildings completed</td>
<td valign="top" align="left">0.47</td>
<td valign="top" align="left">&lt;0.0001</td>
<td valign="top" align="left">0.224</td>
</tr>
<tr>
<td valign="top" align="left">Number of computers per 100 families</td>
<td valign="top" align="left">0.381</td>
<td valign="top" align="left">&lt;0.0001</td>
<td valign="top" align="left">0.083</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Mortality</td>
<td valign="top" align="left">Health expenditure</td>
<td valign="top" align="left">-0.109</td>
<td valign="top" align="left">&lt;0.0001</td>
<td valign="top" align="left">-0.546</td>
</tr>
<tr>
<td valign="top" align="left">Medical insurance cost for cancers</td>
<td valign="top" align="left">-0.112</td>
<td valign="top" align="left">&lt;0.0001</td>
<td valign="top" align="left">-0.064</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Individual cancer incidence and mortality trends during Shanghai&#x2019;s metropolitanization</title>
<p>We further calculated the EAPC for each cancer type by gender and district from 2002 to 2017. The EAPCs based on crude rates for most cancer sites except liver, esophagus, and stomach are more than 0, indicating upward trends both in crude cancer incidence and cancer mortality from 2002 to 2017 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). However, the EAPC values based on age-standardized cancer incidence and mortality for most cancer sites (esophagus, liver, stomach, etc.) sharply decreased, especially for cancer mortality (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Population growth and aging probably led to the opposite results.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Incidence and mortality trends of each cancer type and cancer patterns in Shanghai, 2002&#x2013;2017. <bold>(A, B)</bold> Estimated annual percentage change (EAPC) of crude and age-standardized cancer incidence and mortality categorized by gender and district in Shanghai from 2002 to 2017. <bold>(C, D)</bold> Stacked bar plots depict the cancer patterns of new cases in women in urban, 1973&#x2013;2017, and in rural, 2002&#x2013;2017. <bold>(E, F)</bold> Stacked bar plots depict the cancer patterns of new cases in men in urban, 1973&#x2013;2017, and in rural, 2002&#x2013;2017.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1615492-g002.tif">
<alt-text content-type="machine-generated">Graphs depicting cancer incidence and mortality data. Panels A and B show bar graphs of age-standardized incidence and mortality rates for various cancer types in rural and urban settings, differentiated by gender. Panels C and D display stacked bar charts of cancer case proportions in females across years and cancer types. Panels E and F present similar data for males. The legends classify cancer types by color, such as breast, lung, thyroid, and others, illustrating differences in cancer trends over time.</alt-text>
</graphic>
</fig>
<p>The incidence and mortality trends of specific cancer sites differed by gender and district over time (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3</bold>
</xref>). The incidence and mortality of esophagus, liver, and stomach cancers decreased by more than 2% per year both in rural and urban locations from 2002 to 2017. The top-four increase in age-standardized incidence was observed in cancers of the lung in females, prostate, thyroid, and cervix, with more than 5.0% increase per year (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). In contrast to the upward incidence trend, the mortality of thyroid cancer remained very low and stable at less than 1.5% (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). However, trends in mortality of prostate and cervix cancer increased by more than 2% per year, especially in rural areas. Lung cancer incidence in female patients sharply increased at 5.4% and 6.0% per year in urban and rural areas, respectively, while incidences in male patients hardly remained stable from 2002 to 2017 (urban EAPC of 0.46%, 95% CI (-0.30, 0.23); rural EAPC of -0.29%, 95% CI (-0.71, 0.14)). The age-standardized mortality of lung cancer slightly decreased in all populations. The age-standardized incidences of breast and colorectal cancer rose over time. Female breast cancer incidence, both in urban and rural areas, increased by more than 1.5% per year, while mortality in both rural and urban areas remained stable. The incidence and mortality of male colorectal cancer increased, especially in rural incidence, while the female colorectal cancer rates remained stable. Pancreas and kidney cancer incidence and mortality rates all slightly increased in all population, except in female mortality in urban areas.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Trends in individual cancer incidence and mortality standardized by Segi&#x2019;s world population in 1960, categorized by gender and district in Shanghai from 2002 to 2017. <bold>(A)</bold> esophagus; <bold>(B)</bold> liver; <bold>(C)</bold> stomach; <bold>(D)</bold> thyroid; <bold>(E)</bold> prostate; <bold>(F)</bold> cervix; <bold>(G)</bold> lung; <bold>(H)</bold> breast; <bold>(I)</bold> colorectum; <bold>(J)</bold> pancreas; <bold>(K)</bold> kidney; <bold>(L)</bold> nasopharynx; <bold>(M)</bold> lymphoma; <bold>(N)</bold> leukaemia; <bold>(O)</bold> ovary; <bold>(P)</bold> uterus; <bold>(Q)</bold> brain and central nervous system (brain, CNS); <bold>(R)</bold> bladder; <bold>(S)</bold> gallbladder.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1615492-g003.tif">
<alt-text content-type="machine-generated">Twenty-one line graphs illustrate age-standardized rates per 100,000 people for various cancers from 2002 to 2017. Each graph depicts trends for female and male mortality and incidence in rural and urban areas. Notable increases are observed in thyroid (D) and breast (H) cancers, while others like esophagus (A) and kidney (K) show relatively stable trends. The graphs represent different cancer types labeled A through S, with the x-axis showing years and the y-axis showing rates. Legends denote categories by color.</alt-text>
</graphic>
</fig>
<p>Furthermore, we made a sensitivity analysis to present the cancer trends in urban
(1973&#x2013;2017) and in rural (2002&#x2013;2017) areas (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S1A, B</bold>
</xref>). The results showed similar trends except cancer sites in cervix and gallbladder. <xref
ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1C</bold>
</xref> shows that the upward trend in cervix cancer in urban areas from 2002 to 2017 is consistent with that in rural Shanghai from 2002 to 2017, while the downward trend in cervix cancer in urban areas from 1973 to 2002 resulted in the opposite trends in urban areas, between <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figures S2A, B</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S1A, B</bold>
</xref>, contributed by the widespread application of human papillomavirus (HPV) vaccines.
Similarly, the upward trends in gallbladder cancer incidence and mortality in urban Shanghai in 1973 to 2002 are opposite to the downward trend in gallbladder cancer in rural and urban Shanghai in 2003&#x2013;2017 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1D</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Cancer incidence and mortality patterns in Shanghai</title>
<p>During the metropolitanization of Shanghai, the cancer incidence profile seemed to be increasingly similar to the patterns of high-income countries (<xref ref-type="bibr" rid="B10">10</xref>), such as United States (<xref ref-type="bibr" rid="B11">11</xref>) and Japan (<xref ref-type="bibr" rid="B12">12</xref>). For women, the mostly frequently diagnosed cancer sites were cervix, stomach, and breast in urban Shanghai in 1973, which had been breast, colorectal, and lung cancers in urban and rural Shanghai since 2002, similar to the patterns of highly developed countries (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>). The proportion of new cases of breast cancer in urban Shanghai increased from 11.77% to 20.53% from 1973 to 2017, higher than 15.01% in rural areas in 2017. For men, the most frequently diagnosed cancer sites were lung, stomach, colorectal, and liver in rural and urban Shanghai in 2002. By 2017, the prevalent cancer sites had shifted to lung, colorectal, prostate, and stomach (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2E, F</bold>
</xref>). Specially the proportion of new cases of stomach cancer in male patients in urban Shanghai decreased from 27.31% to 10.91% from 1973 to 2017, only a little lower than 11.21% in men in rural Shanghai in 2017. The cancer types of lung, colorectal, male prostate, and female breast may be the universal cancer incidence patterns in metropolitanized cities. Westernized lifestyles, environmental pollution, effective prevention, and healthcare awareness promotion may be the reason for these pattern transformations in the process of metropolitanization.</p>
<p>However, the cancer mortality profiles did not seem to change from 2002 to 2017. For cancer deaths, lung, colorectal, stomach, liver, and pancreas had been the top five cancer sites in men, similar to that of lung, colorectal, stomach, breast, and pancreas in women in urban and rural Shanghai in 2017 (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure S2</bold>
</xref>). The proportion of deaths due to colorectal cancer rose from 1973 to 2017 in urban Shanghai, which became the second leading cause of cancer deaths (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figures S2A, B</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<title>Cancer prevention and control in Shanghai</title>
<p>Lung cancer and colorectal cancer were the top two causes of new cancer cases and cancer deaths in Shanghai in 2017, highlighting the need for more efforts on enhanced prevention and control strategies, such as stricter air quality controls and healthier lifestyles. In 2002, the Shanghai Municipal Government initiated a colorectal cancer screening program in communities. Great progress was archived on the initial screening completion, with colorectal cancer detection rates of 201.35/100,000 in 2013 (<xref ref-type="bibr" rid="B13">13</xref>). Next, screening programs for cancers of the lung, stomach, esophagus, liver, breast, and cervix have been initiated in Shanghai since 2013. In addition, &#x201c;Healthy Shanghai 2030&#x201d; and &#x201c;Healthy Shanghai Action (2019&#x2013;2030)&#x201d; projects were initiated in 2019, both emphasizing more effective tobacco control strategies, healthy lifestyles, and control measures of environment pollution. Notably, lung and breast cancer incidences and mortality among women have increased significantly. The corresponding prevention and control measures should be taken, such as healthier lifestyles and reduction of indoor pollution and divorce rates. Even though the trend in cervix cancer incidence sharply dropped before 2002 due to the widespread uptake of HPV vaccines, the upward trend since 2002 indicated the need for more effective HPV vaccination campaigns.</p>
<p>We believe that the longitudinal cancer data from the real world, which span decades, reported here and Shanghai&#x2019;s experience in cancer prevention and control can be a reference for government guidelines in preventing population-level cancer incidence during city development.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>During the recent decades, the rapid metropolitanization of Shanghai brought dramatic changes due to socioenvironmental factors (<xref ref-type="bibr" rid="B14">14</xref>). A multivariate ridge regression analysis indicated that some socioenvironmental factors probably contributed to cancer incidence, including number of divorces, total waste gas from industry, buildings completed, and number of computers per 100 families (minimum contribution). The dramatic increase in total waste gas from industry and the areas of building completed may increase the outdoor air pollution, especially particulars (PM<sub>2.5</sub>), and indoor air pollution (formaldehyde and benzene), respectively, which are attributed to lung cancer incidence (<xref ref-type="bibr" rid="B15">15</xref>) and cancer burden (<xref ref-type="bibr" rid="B16">16</xref>). The rising number of computers per 100 families reflected the increasingly westernized lifestyles, and more and more divorces triggered stronger mental stress, both of which cancer incidence is attributed to (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). More health expenditure and medical insurance cost are probably attributed to the decline of age-standardized cancer mortality in urban Shanghai, which were consistent with the published results (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Even though correlations between socioenvironmental factors and cancer incidence and mortality are observed, causal relationships remain unproven. In addition, the impacts of genetic predisposition, diagnostic advancements, aging population effects, and migration effects on cancer burden were not estimated, which probably influence the current results. Therefore, it is necessary for prospective robust studies to validate these causal relations.</p>
<p>During Shanghai&#x2019;s metropolitanization, the cancer incidence patterns shifted to lung, colorectal, and female breast and male prostate cancers, which were also close to our many efforts on fighting against cancers. Primary prevention actions have been implemented since the 1990s, such as free hepatitis B vaccinations, <italic>Helicobacter pylori</italic> infection screening, and health education regarding cancer risk behavior, causing the decline in hepatitis B virus infection, <italic>Helicobacter pylori</italic> infection, and reflux esophagitis, all cancer risk factors (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). The advanced treatment therapies and increases over time in fruit and vegetable consumption may result in a decline in mortality due to liver, stomach, and esophagus cancers (<xref ref-type="bibr" rid="B23">23</xref>). The dramatic increase in thyroid cancer was also observed in other countries, which may reflect &#x201c;over-diagnosis&#x201d; through the increasing use of new imaging diagnostic technologies, such as ultrasound and computed tomography (<xref ref-type="bibr" rid="B24">24</xref>). Herein thyroid cancer was not listed in the estimation of cancer incidence patterns. Prostate-specific antigen screening may drive the increase in prostate cancer (<xref ref-type="bibr" rid="B25">25</xref>). The increase in cervix cancer incidence and mortality may be attributed to the limitations of current HPV screening methods and vaccines (<xref ref-type="bibr" rid="B26">26</xref>). The implementation of strict smoking control laws in Shanghai since 1994 may have contributed to stabilizing the rising trend in male incidence (<xref ref-type="bibr" rid="B27">27</xref>). The increase in female lung cancer cases is probably due to indoor air pollution caused by cooking and heating using fuel gas and coals, along with soil and water contamination. The implementation of one-child policy since the 1970s and more divorces, along with mammography screening program, may contribute to the increasing trend in female breast cancer incidence. The adoption of westernized lifestyles, characterized by higher obesity rates and physical inactivity, may have an impact on the increase in incidences of breast and colorectal cancers.</p>
<p>The current study have some limitations. Firstly, this study is an ecological study. The trends of cancer burden and socioenvironmental factors were only correlated, resulting in no robust causal relations. Secondly, the distribution of age in cancer was not further explored. Thirdly, cancer data in rural Shanghai from 1973 to 2001 was not obtained.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>The longitudinal cancer data from the real world, which span decades, reported here and Shanghai&#x2019;s experience in cancer prevention and control can be a reference for government guidelines in preventing population-level cancer incidence during city development.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>Due to the grounds of our ethics approval, data from this study are unable to be shared. Most of the data supporting the conclusions of this study are available in the Cancer Incidence in Five Continents (CI5) series: Cancer Incidence in Five Continents Volumes I to X by IARC (<uri xlink:href="http://ci5.iarc.fr/CI5I-X/Default.aspx">http://ci5.iarc.fr/CI5I-X/Default.aspx</uri>).</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of Shanghai Municipal Center for Disease Control and Prevention. The studies were conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>JQ: Writing &#x2013; original draft, Investigation, Funding acquisition, Writing &#x2013; review &amp; editing, Formal Analysis, Methodology, Software, Data curation, Resources, Visualization, Validation, Conceptualization. MW: Funding acquisition, Investigation, Writing &#x2013; review &amp; editing, Data curation, Validation, Methodology. SZ: Validation, Data curation, Writing &#x2013; review &amp; editing, Investigation. KG: Data curation, Writing &#x2013; review &amp; editing, Investigation. RC: Writing &#x2013; review &amp; editing, Investigation, Data curation. ZT: Data curation, Formal Analysis, Writing &#x2013; review &amp; editing. DZ: Formal Analysis, Writing &#x2013; review &amp; editing. JT: Writing &#x2013; review &amp; editing. WY: Formal Analysis, Conceptualization, Project administration, Writing &#x2013; review &amp; editing, Supervision, Software. BS: Resources, Funding acquisition, Writing &#x2013; review &amp; editing, Project administration, Conceptualization, Methodology, Software, Supervision, Data curation, Investigation. YS: Funding acquisition, Resources, Writing &#x2013; review &amp; editing, Formal Analysis, Project administration, Conceptualization, Software, Methodology, Data curation, Validation, Supervision, Investigation.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the National Natural Science Foundation of China (grant number: 82304212(J.Q.), and 82273356 (B.S.)) and 2024 Shanghai Oriental Talents - Technology Platform Program (M. W).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>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.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>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.</p>
</sec>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2025.1615492/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1615492/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image1.jpeg" id="SM1" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Sensitivity analysis of incidence and mortality trends of each cancer type in rural Shanghai, 2002&#x2013;2017, and in urban Shanghai, 1973&#x2013;2017. <bold>(A, B)</bold> Estimated annual percentage change (EAPC) of crude and age-standardized cancer incidence and mortality categorized by gender and district in rural 2002 to 2017 and urban 1973 to 2017. <bold>(C, D)</bold> Trends in cervix and gallbladder incidence and mortality standardized by Segi&#x2019;s world population in 1960, categorized by gender and district in rural 2002 to 2017 and urban 1973 to 2017.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image2.jpeg" id="SF2" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Stacked bar plots depict the cancer patterns of deaths by genders in rural, 2002&#x2013;2017, and urban, 1973&#x2013;2017.</p>
</caption>
</supplementary-material>
</sec>
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