human
The task is to decide the Hallmarks of Cancer (HOC) taxonomy of the article based on its abstract. The input is an abstract text. There are 10 topics you will need to decide whether the article is related to. Topics: sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, activating invasion and metastasis, genomic instability and mutation, tumor promoting inflammation, cellular energetics, avoiding immune destruction. The output should be topics from the above 10 topics, that are related to the input article. Please note one article can be related to multiple topics. Output format: provide a semicolon-separated list of relevant topics.
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    INPUT: OBJECTIVE To evaluate the risk factors for sentinel lymph node metastasis and validate the value of the Memorial Sloan-Kettering Cancer Center nomogram for the prediction of sentinel lymph node metastasis in breast cancer patients . METHODS A sentinel lymph node biopsy database containing 1227 consecutive breast cancer patients ( 416 patients with at least one positive sentinel lymph node ) was retrospectively analyzed . The predictive value of the Memorial Sloan-Kettering Cancer Center nomogram was calculated by the trend line and the area under the receiver-operator characteristic curve . Meanwhile , predictors for sentinel lymph node metastasis were also evaluated . RESULTS Tumor size , histological grade , lymphovascular invasion , mulifocality , estrogen receptor and progesterone receptor status were significant independent predictors for sentinel lymph node metastasis ( all P&lt;0.01 ) . The Memorial Sloan-Kettering Cancer Center nomogram presented an area under the receiver-operator characteristic curve value of 0.730 . Patients with predictive value&lt;16% had a frequency of sentinel lymph node metastasis of 0.9% . Those with values larger than 70% had a frequency of 96.2% . CONCLUSIONS The risk factors for sentinel lymph node metastasis in our study were consistent with those in the Memorial Sloan-Kettering Cancer Center nomogram . The Memorial Sloan-Kettering Cancer Center nomogram is a useful tool that could accurately predict the probability of sentinel lymph node metastasis in our breast cancer patients . Axillary surgical staging might be avoided in patients with a predictive value of &lt;16% and axillary lymph node dissection might be done directly in those with a predictive value &gt;70% , while other patients should still accept sentinel lymph node biopsy .
    OUTPUT:

agent
activating invasion and metastasis
The task is to decide the Hallmarks of Cancer (HOC) taxonomy of the article based on its abstract. The input is an abstract text. There are 10 topics you will need to decide whether the article is related to. Topics: sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, activating invasion and metastasis, genomic instability and mutation, tumor promoting inflammation, cellular energetics, avoiding immune destruction. The output should be topics from the above 10 topics, that are related to the input article. Please note one article can be related to multiple topics. Output format: provide a semicolon-separated list of relevant topics.
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    INPUT: OBJECTIVE To evaluate the risk factors for sentinel lymph node metastasis and validate the value of the Memorial Sloan-Kettering Cancer Center nomogram for the prediction of sentinel lymph node metastasis in breast cancer patients . METHODS A sentinel lymph node biopsy database containing 1227 consecutive breast cancer patients ( 416 patients with at least one positive sentinel lymph node ) was retrospectively analyzed . The predictive value of the Memorial Sloan-Kettering Cancer Center nomogram was calculated by the trend line and the area under the receiver-operator characteristic curve . Meanwhile , predictors for sentinel lymph node metastasis were also evaluated . RESULTS Tumor size , histological grade , lymphovascular invasion , mulifocality , estrogen receptor and progesterone receptor status were significant independent predictors for sentinel lymph node metastasis ( all P&lt;0.01 ) . The Memorial Sloan-Kettering Cancer Center nomogram presented an area under the receiver-operator characteristic curve value of 0.730 . Patients with predictive value&lt;16% had a frequency of sentinel lymph node metastasis of 0.9% . Those with values larger than 70% had a frequency of 96.2% . CONCLUSIONS The risk factors for sentinel lymph node metastasis in our study were consistent with those in the Memorial Sloan-Kettering Cancer Center nomogram . The Memorial Sloan-Kettering Cancer Center nomogram is a useful tool that could accurately predict the probability of sentinel lymph node metastasis in our breast cancer patients . Axillary surgical staging might be avoided in patients with a predictive value of &lt;16% and axillary lymph node dissection might be done directly in those with a predictive value &gt;70% , while other patients should still accept sentinel lymph node biopsy .
    OUTPUT:
