Limits...
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

The distribution of 5-year average female thyroid/breast cancer incidence in Hangzhou.(2008–2012). 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
getmorefigures.php?uid=PMC4920092&req=5

f3: The distribution of 5-year average female thyroid/breast cancer incidence in Hangzhou.(2008–2012). Created by ArcMap 9.3.1 http://www.esri.com/software/arcgis/eval-help/arcgis-931.

Mentions: In Fig. 3a the geographical TC incidence distribution averaged during the 5-years (2008–2012) exhibited considerable spatial variability across the Hangzhou area: townships located in the southwestern parts of the region revealed the lowest TC incidence (less than 10 per 100,000 people), whereas townships located in the northeastern parts experienced the highest incidence (more than 40 patients per 100,000 people). The pattern of geographical BC distribution averaged during the 5-years (Fig. 3b) was similar to that of TC: the southwest areas showed the lowest incidence (less than 15 patients per 100,000 people), whereas the northeast areas showed the highest incidence (more than 60 patients per 100,000 people).


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)

The distribution of 5-year average female thyroid/breast cancer incidence in Hangzhou.(2008–2012). 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

f3: The distribution of 5-year average female thyroid/breast cancer incidence in Hangzhou.(2008–2012). Created by ArcMap 9.3.1 http://www.esri.com/software/arcgis/eval-help/arcgis-931.
Mentions: In Fig. 3a the geographical TC incidence distribution averaged during the 5-years (2008–2012) exhibited considerable spatial variability across the Hangzhou area: townships located in the southwestern parts of the region revealed the lowest TC incidence (less than 10 per 100,000 people), whereas townships located in the northeastern parts experienced the highest incidence (more than 40 patients per 100,000 people). The pattern of geographical BC distribution averaged during the 5-years (Fig. 3b) was similar to that of TC: the southwest areas showed the lowest incidence (less than 15 patients per 100,000 people), whereas the northeast areas showed the highest incidence (more than 60 patients per 100,000 people).

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