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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

5-year average female thyroid cancer (a) and breast cancer (b) incidence in each township.
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f2: 5-year average female thyroid cancer (a) and breast cancer (b) incidence in each township.

Mentions: The present work is, in a sense, an ecological study conducted using data at the township level. Naturally, two limited cases were noticed in townships with small populations: the TC and BC incidences would be zero if no cancer patient was recorded during a specific year, and extremely high when for a small population base even a small number of patients would lead to high incidence. As noted earlier, to overcome these computational issues the 5-year averaged TC and BC incidences were calculated to produce more stable incidence estimates. Accordingly, Fig. 2a displays the 5-year averaged profile of TC incidence for the 200 Hangzhou townships considered, and Fig. 2b that of BC incidence. Visual comparison of Fig. 2a,b clearly suggested the existence of a strong correlation between TC and BC incidences. Also, the Pearson and Spearman rank correlation coefficients of the 5-year averaged TC and BC incidences were found to be 0.797 (p < 0.01) and 0.808 (p < 0.01), respectively, at the township level.


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)

5-year average female thyroid cancer (a) and breast cancer (b) incidence in each township.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f2: 5-year average female thyroid cancer (a) and breast cancer (b) incidence in each township.
Mentions: The present work is, in a sense, an ecological study conducted using data at the township level. Naturally, two limited cases were noticed in townships with small populations: the TC and BC incidences would be zero if no cancer patient was recorded during a specific year, and extremely high when for a small population base even a small number of patients would lead to high incidence. As noted earlier, to overcome these computational issues the 5-year averaged TC and BC incidences were calculated to produce more stable incidence estimates. Accordingly, Fig. 2a displays the 5-year averaged profile of TC incidence for the 200 Hangzhou townships considered, and Fig. 2b that of BC incidence. Visual comparison of Fig. 2a,b clearly suggested the existence of a strong correlation between TC and BC incidences. Also, the Pearson and Spearman rank correlation coefficients of the 5-year averaged TC and BC incidences were found to be 0.797 (p < 0.01) and 0.808 (p < 0.01), respectively, at the township level.

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