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Spatiotemporal Co-existence of Female Thyroid and Breast Cancers in Hangzhou, China.

Fei X, Christakos G, Lou Z, Ren Y, Liu Q, Wu J - Sci Rep (2016)

Bottom Line: The spatiotemporal co-existence of TC and BC distributions was investigated using the integrative disease predictability (IDP) criterion: if TC-BC association is part of the disease mapping knowledge bases, it should yield improved space-time incidence predictions.Improved TC (BC) incidence predictions were generated when integrating both TC and BC data than when using only TC (BC) data.The strength of TC-BC association was measured by the IDP coefficients and incidence prediction accuracy.

View Article: PubMed Central - PubMed

Affiliation: College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.

ABSTRACT
Thyroid and breast cancers (TC, BC) are common female malignant tumors worldwide. Studies suggest that TC patients have a higher BC risk, and vice versa. However, it has not been investigated quantitatively if there is an association between the space-time TC and BC incidence distributions at the population level. This work aims to answer this question. 5358 TC and 8784 BC (female) cases were diagnosed in Hangzhou (China, 2008-2012). Pearson and Spearman rank correlation coefficients of the TC and BC incidences were high, and their patterns were geographically similar. The spatiotemporal co-existence of TC and BC distributions was investigated using the integrative disease predictability (IDP) criterion: if TC-BC association is part of the disease mapping knowledge bases, it should yield improved space-time incidence predictions. Improved TC (BC) incidence predictions were generated when integrating both TC and BC data than when using only TC (BC) data. IDP consistently demonstrated the spatiotemporal co-existence of TC and BC distributions throughout Hangzhou (2008-2012), which means that when the population experiences high incidences of one kind of cancer attention should be paid to the other kind of cancer too. The strength of TC-BC association was measured by the IDP coefficients and incidence prediction accuracy.

No MeSH data available.


Related in: MedlinePlus

Maps of . The  denotes BC incidence prediction errors obtained using BC incidence as hard data and TC incidence as soft data; and the  denotes BC incidence prediction errors obtained using BC incidence as hard data only. Created by ArcMap 9.3.1 http://www.esri.com/software/arcgis/eval-help/arcgis-931.
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f6: Maps of . The denotes BC incidence prediction errors obtained using BC incidence as hard data and TC incidence as soft data; and the denotes BC incidence prediction errors obtained using BC incidence as hard data only. Created by ArcMap 9.3.1 http://www.esri.com/software/arcgis/eval-help/arcgis-931.

Mentions: Figures 5 and 6 show the distribution of and calculated by Eqs (3) and (4). Specifically, in Fig. 5a–e we see the maps of the coefficient in Hangzhou during the years 2008–2012, whereas Fig 6a–e show the maps of the coefficient in Hangzhou for the same time period. Note that the values of and were consistently negative across the Hangzhou area during the 5-year period, which, according to the IDP criterion, implies the presence of a “TC incidence-BC incidence” association at the local township population level during the 5-year period. Since the IDP coefficients provide a measure of the geographical variation of the contribution of the TC-BC incidence association to incidence prediction, the higher (in absolute value) the coefficient (resp. ) in an area, the higher the contribution of the TC-BC association in BC (resp. TC) incidence prediction in this area. This contribution varies across space and time, and it can be different for the two cancer types. For example, Fig. 5a reveals that the contribution of the TC-BC association in TC incidence prediction is higher in parts of southwestern Hangzhou, whereas in Fig. 6a the association’s contribution in BC incidence prediction is higher in parts of northeastern Hangzhou. Figures 5f and 6f show the 5-years averaged maps of and , respectively.


Spatiotemporal Co-existence of Female Thyroid and Breast Cancers in Hangzhou, China.

Fei X, Christakos G, Lou Z, Ren Y, Liu Q, Wu J - Sci Rep (2016)

Maps of . The  denotes BC incidence prediction errors obtained using BC incidence as hard data and TC incidence as soft data; and the  denotes BC incidence prediction errors obtained using BC incidence as hard data only. Created by ArcMap 9.3.1 http://www.esri.com/software/arcgis/eval-help/arcgis-931.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4920092&req=5

f6: Maps of . The denotes BC incidence prediction errors obtained using BC incidence as hard data and TC incidence as soft data; and the denotes BC incidence prediction errors obtained using BC incidence as hard data only. Created by ArcMap 9.3.1 http://www.esri.com/software/arcgis/eval-help/arcgis-931.
Mentions: Figures 5 and 6 show the distribution of and calculated by Eqs (3) and (4). Specifically, in Fig. 5a–e we see the maps of the coefficient in Hangzhou during the years 2008–2012, whereas Fig 6a–e show the maps of the coefficient in Hangzhou for the same time period. Note that the values of and were consistently negative across the Hangzhou area during the 5-year period, which, according to the IDP criterion, implies the presence of a “TC incidence-BC incidence” association at the local township population level during the 5-year period. Since the IDP coefficients provide a measure of the geographical variation of the contribution of the TC-BC incidence association to incidence prediction, the higher (in absolute value) the coefficient (resp. ) in an area, the higher the contribution of the TC-BC association in BC (resp. TC) incidence prediction in this area. This contribution varies across space and time, and it can be different for the two cancer types. For example, Fig. 5a reveals that the contribution of the TC-BC association in TC incidence prediction is higher in parts of southwestern Hangzhou, whereas in Fig. 6a the association’s contribution in BC incidence prediction is higher in parts of northeastern Hangzhou. Figures 5f and 6f show the 5-years averaged maps of and , respectively.

Bottom Line: The spatiotemporal co-existence of TC and BC distributions was investigated using the integrative disease predictability (IDP) criterion: if TC-BC association is part of the disease mapping knowledge bases, it should yield improved space-time incidence predictions.Improved TC (BC) incidence predictions were generated when integrating both TC and BC data than when using only TC (BC) data.The strength of TC-BC association was measured by the IDP coefficients and incidence prediction accuracy.

View Article: PubMed Central - PubMed

Affiliation: College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.

ABSTRACT
Thyroid and breast cancers (TC, BC) are common female malignant tumors worldwide. Studies suggest that TC patients have a higher BC risk, and vice versa. However, it has not been investigated quantitatively if there is an association between the space-time TC and BC incidence distributions at the population level. This work aims to answer this question. 5358 TC and 8784 BC (female) cases were diagnosed in Hangzhou (China, 2008-2012). Pearson and Spearman rank correlation coefficients of the TC and BC incidences were high, and their patterns were geographically similar. The spatiotemporal co-existence of TC and BC distributions was investigated using the integrative disease predictability (IDP) criterion: if TC-BC association is part of the disease mapping knowledge bases, it should yield improved space-time incidence predictions. Improved TC (BC) incidence predictions were generated when integrating both TC and BC data than when using only TC (BC) data. IDP consistently demonstrated the spatiotemporal co-existence of TC and BC distributions throughout Hangzhou (2008-2012), which means that when the population experiences high incidences of one kind of cancer attention should be paid to the other kind of cancer too. The strength of TC-BC association was measured by the IDP coefficients and incidence prediction accuracy.

No MeSH data available.


Related in: MedlinePlus