| Literature DB >> 34267803 |
Jorge Sapunar-Zenteno1,2, Pedro Ferrer-Rosende1, Christian Caglevic3.
Abstract
Lung cancer frequency has been progressively increasing; this has been linked to the use of inhaled tobacco and air pollution. In Chile, air pollution has reached alarming levels due to motor vehicle traffic, firewood burning for heating and minerals in urban areas; for this reason, our objective was to evaluate the association between the incidence of lung cancer and the concentration of the main air pollutants monitored in the country. We carried out a cross-sectional ecological study that evaluated the association between the average incidence of lung cancer in a 5-year period (2015-2019) with the average annual concentration of six atmospheric pollutants in the 5 years prior in 14 Chilean boroughs, using the population of beneficiaries of the Fundación Arturo-López-Pérez Cancer Institute. The annualised incidence of lung cancer was 9.77 per 100,000 and it varied significantly within the boroughs studied. When evaluating the relationship between lung-cancer incidence and the average concentration of atmospheric pollutants, we only found a direct and significant correlation between the level of respirable particulates 2.5 and the incidence of adenocarcinomas (β: 0.16; p: 0.023). © the authors; licensee ecancermedicalscience.Entities:
Keywords: environmental air pollutants; epidemiology; lung cancer
Year: 2021 PMID: 34267803 PMCID: PMC8241455 DOI: 10.3332/ecancer.2021.1247
Source DB: PubMed Journal: Ecancermedicalscience ISSN: 1754-6605
2015–2019 lung cancer cases in FALP cancer-insurance beneficiaries and incidence rates adjusted for age and sex according to 2012 census projections.
| Women | Men | Total | |
|---|---|---|---|
| Cases 2015–2019 | 132 | 143 | 275 |
| Crude rate 2015–2019 (per 100,000) | 8.68 (7.3–10.3) | 11.1 (9.3–13.0) | 9.77 (8.7–11.0) |
| Adjusted rate 2015–2019 (per 100,000) | 11.42 (9.2–14.0) | 12.6 (10.5–15.1) | 12.12 (10.5–13.9) |
Figure 1.Age distribution by sex expressed in 5-year periods for lung cancer cases occurring in beneficiaries of FALP cancer insurance in the period 2015–2019.
Histological types of lung cancer occurring in beneficiaries of FALP cancer insurance in the period 2015-2019, by sex and mean age.
| Histotype | Frequency (%) | Mean age (±SD) | ||||
|---|---|---|---|---|---|---|
| Women | Men | Total | Women | Men | Total | |
| Adenocarcinoma | 91 (68.9) | 97 (68.3) | 188 (68.6) | 64.2 ± 9.6 | 66.9 ± 8.1 | 65.6 ± 8.9 |
| Squamous-cell Ca | 19 (14.4) | 28 (19.7) | 47 (17.2) | 69.9 ± 9.8 | 69.0 ± 6.6 | 69.4 ± 8.0 |
| Small-cell lung cancer | 13 (9.8) | 6 (4.2) | 19 (6.9) | 65.2 ± 8.1 | 61.8 ± 6.3 | 64.1 ± 7.6 |
| NET | 6 (4.5) | 2 (1.4) | 8 (2.9) | 66.0 ± 5.7 | 64.0 ± 7.1 | 65.5 ± 5.6 |
| Other NSCLC | 2 (1.5) | 4 (2.8) | 6 (2.2) | 53.0 ± 1.4 | 58.5 ± 2.5 | 56.7 ± 3.5 |
| Sarcomatoid Ca | 1 (0.8) | 2 (1.4) | 3 (1.1) | 79 | 72.5 ± 4.9 | 74.7 ± 5.1 |
| Large-cell lung cancer | 0 (0) | 3 (2.2) | 3 (1.1) | - | 66.0 ± 8.9 | 66.0 ± 8.9 |
| Total | 132 | 142 | 274 | 65.1 ± 9.6 | 66.8 ± 7.8 | 66 ± 8.7 |
Ca, Carcinoma; NET, Tumour neuroendocrino; NSCLC, Non-small-cell lung cancer
Figure 2.Age distribution by sex expressed in 5-year periods for lung cancer adenocarcinoma cases occurring in beneficiaries of FALP cancer insurance in the period 2015–2019.
Lung cancer annualised incidence by borough of residence in beneficiaries of FALP cancer insurance between 2015 and 2019, direct and adjusted by risk group.
| Borough | Region | Crude rate 2015–2019 (per 100,000) | Adjusted rate 2015–2019 (per 100,000) | ||||
|---|---|---|---|---|---|---|---|
| Female | Male | Total | Female | Male | Total | ||
| Antofagasta | Antofagasta | 1.62 (0.0–9.0) | 17.6 (8.4–32.4) | 9.29 (4.6–16.6) | 2.01 (0.1–11.2) | 21.25 (10.2–39.1) | 10.85 (5.4–19.5) |
| Chillán | Ñuble | 6.14 (0.7–22.2) | 7.47 (0.9–27.0) | 6.74 (1.8–17.3) | 5.97 (0.7–21.6) | 7.27 (0.9–26.3) | 6.57 (1.8–16.8) |
| Concepción | Biobio | 9.74 (2.0–28.5) | 11.58 (2.4–33.8) | 10.58 (3.9–23.0) | 7.86 (1.6–23.0) | 9.82 (2.0–28.7) | 8.76 (3.2–19.1) |
| La Florida | Greater Stgo | 7.3 (1.5–21.3) | 23.23 (10.0–45.8) | 14.56 (7.3–26.1) | 5.5 (1.1–16.1) | 18 (7.7–35.8) | 11.24 (5.6–20.2) |
| La Serena | Coquimbo | 14.14 (3.9–36.2) | 0.00 | 7.65 (2.1–19.6) | 14.78 (4–37.9) | 0.00 | 7.99 (2.2–20.5) |
| Las Condes | Greater Stgo | 15.39 (6.2–31.7) | 24.85 (11.4–47.2) | 19.58 (11.2–31.8) | 11.81 (4.4–25.5) | 18.68 (8.2–36.4) | 14.97 (8.3–24.9) |
| Los Angeles | Biobio | 6.68 (0.8–24.1) | 19.65 (6.4–45.9) | 12.64 (5.1–26.1) | 7.66 (0.9–27.7) | 21.45 (7.0–50.1) | 14 (5.6–28.9) |
| Puente Alto | Greater Stgo | 7.76 (1.6–22.7) | 11.65 (3.2–29.8) | 9.59 (3.9–19.8) | 9.29 (1.9–27.2) | 12.79 (3.5–32.7) | 10.9 (4.4–22.5) |
| Puerto Montt | Los Lagos | 5.2 (0.6–18.8) | 2.99 (0.1–16.7) | 4.17 (0.9–12.2) | 5.84 (0.7–21.4) | 3.8 (0.1–21.2) | 4.9 (1.0–14.5) |
| Punta Arenas | Magallanes | 3.78 (0.1–21.0) | 8.55 (1.0–30.9) | 6.02 (1.2–17.6) | 4.19 (0.1–23.4) | 8.64 (1.1–31.2) | 6.24 (1.3–18.3) |
| Santiago | Greater Stgo | 20.6 (9.4–39.1) | 5.86 (0.7–21.2) | 14.13 (7.1–25.3) | 18.6 (8.5–35.4) | 5.55 (0.7–20.1) | 12.6 (6.3–22.6) |
| Talca | Maule | 11.67 (3.2–29.9) | 20.69 (7.6–45.0) | 15.81 (7.6–29.1) | 11.46 (3.1–29.4) | 20.28 (7.4–44.1) | 15.51 (7.4–28.5) |
| Temuco | La Araucanía | 3.08 (0.1–17.2) | 7.25 (0.9–26.2) | 4.99 (1.0–14.6) | 3.07 (0.1–17.1) | 7.1 (0.9–25.7) | 4.92 (1.0–14.4) |
| Viña del Mar | Valparaiso | 10.76 (2.2–31.5) | 0.00 | 5.87 (1.2–17.2) | 8.52 (1.8–24.9) | 0.00 | 4.6 (1.0–13.5) |
Stgo, Santiago
2015–2019 annualised incidence of lung adenocarcinoma by borough of residence in beneficiaries of FALP cancer insurance; direct and adjusted by risk group.
| Borough | Region | Crude rate 2015–2019 (per 100,000) | Adjusted rate 2015–2019 (per 100,000) | ||||
|---|---|---|---|---|---|---|---|
| Female | Male | Total | Female | Male | Total | ||
| Antofagasta | Antofagasta | 1.62 (0.0–9.0) | 7.04 (1.9–18.0) | 4.22 (1.4–9.9) | 2.01 (0.1–11.2) | 8.2 (2.2–21.1) | 4.86 (1.6–11.4) |
| Chillán | Ñuble | 3.07 (0.1–17.1) | 7.47 (0.9–27.0) | 5.06 (1.0–14.8) | 2.83 (0.1–15.8) | 7.27 (0.9–26.3) | 4.87 (1.0–14.3) |
| Conepción | Biobio | 6.49 (0.8–23.5) | 7.72 (0.9–27.9) | 7.05 (1.9–18.1) | 5.24 (0.6–18.9) | 6.54 (0.8–23.6) | 5.84 (1.6–15) |
| La Florida | Greater Stgo | 7.3 (1.5–21.3) | 14.52 (4.7–33.9) | 10.59 (4.6–20.9) | 5.5 (1.1–16.1) | 11.65 (3.7–27.6) | 8.33 (3.6–16.5) |
| La Serena | Coquimbo | 7.07 (0.9–25.5) | 0.00 | 3.82 (0.5–13.8) | 7.25 (0.9–26.2) | 0.00 | 3.92 (0.5–14.2) |
| Las Condes | Greater Stgo | 13.19 (4.8–28.7) | 19.33 (7.8–39.8) | 15.91 (8.5–27.2) | 10.53 (3.5–24.1) | 15.18 (5.8–32.3) | 12.67 (6.5–22.3) |
| Los Angeles | Biobio | 3.34 (0.1–18.6) | 15.72 (4.3–40.3) | 9.03 (2.9–21.1) | 3.83 (0.1–21.4) | 17.05 (4.6–43.7) | 9.91 (3.2–23.2) |
| Puente Alto | Greater Stgo | 7.76 (1.6–22.7) | 8.74 (1.8–25.5) | 8.22 (3.0–17.9) | 9.29 (1.9–27.2) | 9.59 (2.0–28.0) | 9.43 (3.5–20.6) |
| Puerto Montt | Los Lagos | 5.2 (0.6–18.8) | 2.99 (0.1–16.7) | 4.17 (0.9–12.2) | 5.84 (0.7–21.4) | 3.8 (0.1–21.2) | 4.9 (1.0–14.5) |
| Punta Arenas | Magallanes | 0.00 | 4.28 (0.1–23.8) | 2.01 (0.1–11.2) | 0.00 | 4.32 (0.1–24.1) | 1.99 (0.1–11.1) |
| Santiago | Greater Stgo | 13.73 (5.0–29.9) | 5.86 (0.7–21.2) | 10.28 (4.4–20.3) | 12.26 (4.5–26.8) | 5.55 (0.7–20.1) | 9.18 (4.0–18.1) |
| Talca | Maule | 5.84 (0.7–21.1) | 13.8 (3.8–35.3) | 9.49 (3.5–20.7) | 5.54 (0.7–20.0) | 13.56 (3.7–34.7) | 9.22 (3.4–20.1) |
| Temuco | La Araucanía | 3.08 (0.1–17.2) | 7.25 (0.9–26.2) | 4.99 (1.0–14.6) | 3.07 (0.1–17.1) | 7.1 (0.9–25.7) | 4.92 (1.0–14.4) |
| Viña del Mar | Valparaiso | 7.17 (0.9–25.9) | 0.00 | 3.91 (0.5–14.1) | 5.68 (0.7–20.5) | 0.00 | 3.07 (0.4–11.1) |
Stgo, Santiago
Association between 2015 and 2019 annualised incidence of lung cancer and the average concentration of six atmospheric pollutants in Chilean boroughs during the 5 years prior to the estimate. Multiple lineal regression models adjusted by age and HDI.
| Lung cancer | |||||||
|---|---|---|---|---|---|---|---|
| Unadjusted | Adjusted by age | Adjusted by HDI | |||||
| Pollutant | |||||||
| SO2 | |||||||
| General | −1.97 (2.01) | 0.431 | −1.79 (2.16) | 0.560 | −2.14 (2.88) | 0.593 | |
| Woman | 4.65 (4.46) | 0.406 | 5.04 (4.74) | 0.480 | 4.23 (6.37) | 0.626 | |
| Male | −10.1 (1.05) | 0.011 | −10.2 (1.02) | 0.063 | −10.0 (1.5) | 0.092 | |
| NO | |||||||
| General | 0.03 (0.20) | 0.899 | 0.07 (0.06) | 0.352 | 0.05 (0.05) | 0.407 | |
| Woman | 0.20 (0.26) | 0.508 | 0.233 (0.26) | 0.462 | 0.21 (0.27) | 0.508 | |
| Male | −0.19 (0.40) | 0.657 | −0.14 (0.39) | 0.754 | 0.16 (0.37) | 0.705 | |
| NO2 | |||||||
| General | 0.24 (0.23) | 0.362 | −0.02 (0.25) | 0.929 | 0.24 (0.35) | 0.540 | |
| Woman | 0.28 (0.34) | 0.453 | 0.10 (0.47) | 0.845 | 0.05 (0.69) | 0.949 | |
| Male | 0.19 (0.54) | 0.747 | −0.19 (0.73) | 0.813 | −0.63 (0.98) | 0.568 | |
| O3 | |||||||
| General | 0.73 (0.46) | 0.175 | 0.57 (0.50) | 0.320 | 0.23 (0.68) | 0.756 | |
| Woman | 0.36 (0.56) | 0.547 | 0.17 (0.61) | 0.789 | −0.15 (0.86) | 0.874 | |
| Male | 1.17 (1.04) | 0.311 | 1.04 (1.23) | 0.445 | 0.63 (1.67) | 0.724 | |
| PM10 | |||||||
| General | 0.13 (0.11) | 0.261 | 0.11 (0.10) | 0.286 | 0.07 (0.09) | 0.473 | |
| Woman | 0.14 (0.13) | 0.318 | 0.11 (0.10) | 0.309 | 0.08 (0.12) | 0.541 | |
| Male | 0.12 (0.20) | 0.570 | 0.11 (0.21) | 0.615 | 0.06 (0.21) | 0.790 | |
| PM2.5 | |||||||
| General | 0.08 (0.13) | 0.539 | 0.07 (0.11) | 0.533 | 0.11 (0.10) | 0.270 | |
| Woman | 0.02 (0.15) | 0.893 | 0.01 (0.13) | 0.971 | 0.05 (0.13) | 0.729 | |
| Male | 0.16 (0.24) | 0.504 | 0.15 (0.24) | 0.536 | 0.20 (0.22) | 0.390 | |
Association between 2015 and 2019 annualised incidence of lung adenocarcinoma and the average concentration of six atmospheric pollutants in Chilean boroughs during the 5 years prior to the estimate. Multiple lineal regression model adjusted by age and HDI.
| Adenocarcinoma | |||||||
|---|---|---|---|---|---|---|---|
| Unadjusted | Adjusted by age | Adjusted by HDI | |||||
| Pollutant | |||||||
| SO2 | |||||||
| General | −0.46 (0.89) | 0.656 | −0.34 (0.16) | 0.278 | −0.75 (0.76) | 0.502 | |
| Woman | 3.41 (1.99) | 0.228 | 3.68 (0.42) | 0.073 | 2.78 (1.74) | 0.357 | |
| Male | −5.21 (0.50) | 0.009 | −5.28 (0.23) | 0.028 | −5.08 (0.54) | 0.067 | |
| NO | |||||||
| General | 0.01 (0.17) | 0.988 | 0.04 (0.10) | 0.736 | 0.02 (0.02) | 0.382 | |
| Woman | 0.11 (0.16) | 0.547 | 0.14 (0.14) | 0.422 | 0.12 (0.12) | 0.399 | |
| Male | −0.14 (0.27) | 0.645 | 0.09 (0.23) | 0.724 | −0.11 (0.19) | 0.619 | |
| NO2 | |||||||
| General | 0.33 (0.15) | 0.091 | 0.15 (0.14) | 0.378 | −0.04 (0.17) | 0.822 | |
| Woman | 0.40 (0.15) | 0.057 | 0.30 (0.21) | 0.236 | 0.25 (0.30) | 0.468 | |
| Male | 0.24 (0.34) | 0.517 | 0.04 (0.44) | 0.928 | −0.40 (0.56) | 0.522 | |
| O3 | |||||||
| General | 0.81 (0.29) | 0.037 | 0.67 (0.28) | 0.075 | 0.38 (0.37) | 0.365 | |
| Woman | 0.63 (0.30) | 0.086 | 0.48 (0.28) | 0.163 | 0.22 (0.40) | 0.612 | |
| Male | 1.03 (0.66) | 0.177 | 0.90 (0.76) | 0.302 | 0.55 (1.03) | 0.622 | |
| PM10 | |||||||
| General | 0.13 (0.08) | 0.121 | 0.11 (0.06) | 0.085 | 0.08 (0.06) | 0.187 | |
| Woman | 0.14 (0.09) | 0.149 | 0.12 (0.05) | 0.055 | 0.08 (0.06) | 0.235 | |
| Male | 0.13 (0.13) | 0.367 | 0.12 (0.14) | 0.424 | 0.08 (0.14) | 0.561 | |
| PM2.5 | |||||||
| General | 0.13 (0.10) | 0.210 | 0.12 (0.07) | 0.117 | 0.16 (0.06) | 0.023 | |
| Woman | 0.07 (0.11) | 0.513 | 0.06 (0.08) | 0.460 | 0.10 (0.08) | 0.202 | |
| Male | 0.21 (0.16) | 0.211 | 0.19 (0.15) | 0.211 | 0.23 (0.14) | 0.123 | |