## 3 Results
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Cell Line** & **Result** & \begin{tabular}{c} **Cause:** \\ **ROS** \\ \end{tabular} & \
\begin{tabular}{c} **Cause:** \\ **Ki-67** \\ \end{tabular} &
\begin{tabular}{c} **Cause:** \\ **G1** \\ \end{tabular} \\ \hline \multirow{2}{*}{BT-474} & \(p\)-value & 0.1823 & 0.08641 * & 0.03197 * \\ \cline{2-5}  & Coefficient of Regression & 0.001565 & 0.03311 & 0.003271 \\ \hline \multirow{2}{*}{MCF-7} & \(p\)-value & 0.001521 * & 0.0001978 * & 0.000331 * \\ \cline{2-5}  & Coefficient of Regression & 0.0012771 & 0.017391 & 0.0018635 \\ \hline \multirow{2}{*}{MDA-MB-231} & \(p\)-value & 0.09577 & 0.2085 & 0.5509 \\ \cline{2-5}  & Coefficient of Regression & 0.0004847 & 0.09009 & 0.002259 \\ \hline \multirow{2}{*}{SK-BR-3} & \(p\)-value & \(5.16\times 10^{-7}\)* & 0.000365 * & - \\ \cline{2-5}  & Coefficient of Regression & \(2.48\times 10^{-4}\) & 0.25092 & - \\ \hline \hline \end{tabular}
\end{table} 
Table 4: \(p\)-values and coefficients of linear regression for all cell death models for cells treated for 3 min (* \(p\) < 0.05). \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Cell Line** & **Result** & \begin{tabular}{c} **Cause:** \\ **ROS** \\ \end{tabular} & \begin{tabular}{c} **Cause:** \\ **Caspase** \\ \end{tabular} & \
\begin{tabular}{c} **Cause:** \\ **Ki-67** \\ \end{tabular} &
\begin{tabular}{c} **Cause:** \\ **G1** \\ \end{tabular} \\ \hline \multirow{2}{*}{BT-474} & \(p\)-value & \(1.22\times 10^{-6}\)* & 0.09563 & 0.02058 * & 0.0003267 * \\ \cline{2-5}  & Coefficient of Regression & 0.0029492 & 0.07529 & 0.03642 & 0.006221 \\ \hline \multirow{2}{*}{MCF-7} & \(p\)-value & 0.2315 & 0.000879 * & \textless{}2.2 \(\times 10^{-16}\)* & 1.38 \(\times\)\(10^{-13}\)* \\ \cline{2-5}  & Coefficient of Regression & 0.00615 & 2.31185 & 1.23687 & 0.047372 \\ \hline \multirow{2}{*}{MDA-MB-231} & \(p\)-value & 0.1305 & \(6.271\times 10^{-8}\)* & 0.2152 & 0.5003 \\ \cline{2-5}  & Coefficient of Regression & 0.0005864 & 0.20576 & 0.09413 & 0.002546 \\ \hline \multirow{2}{*}{SK-BR-3} & \(p\)-value & 0.0006389 * & 8.94 \(\times\)\(10^{-10}\)* & 0.01111 * & - \\ \cline{2-5}  & Coefficient of Regression & \(3.18\times 10^{-4}\) & 0.04626 & 0.06148 & - \\ \hline \hline \end{tabular}
\end{table} 
Table 2: \(p\)-values and coefficients of linear regression for all cell proliferation models for cells treated for 3 min (* \(p\) < 0.05). \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Cell Line** & **Result** & \begin{tabular}{c} **Cause:** \\ **ROS** \\ \end{tabular} & \begin{tabular}{c} **Cause:** \\ **Caspase** \\ \end{tabular} & \
\begin{tabular}{c} **Cause:** \\ **Ki-67** \\ \end{tabular} &
\begin{tabular}{c} **Cause:** \\ **G1** \\ \end{tabular} \\ \hline \multirow{2}{*}{BT-474} & \(p\)-value & \(1.22\times 10^{-6}\)* & 0.09563 & 0.02058 * & 0.0003267 * \\ \cline{2-5}  & Coefficient of Regression & 0.0029492 & 0.07529 & 0.03642 & 0.006221 \\ \hline \multirow{2}{*}{MCF-7} & \(p\)-value & 0.2315 & 0.000879 * & \textless{}2.2 \(\times\)\(10^{-16}\)* & 1.38 \(\times\)\(10^{-13}\)* \\ \cline{2-5}  & Coefficient of Regression & 0.00615 & 2.31185 & 1.23687 & 0.047372 \\ \hline \multirow{2}{*}{MDA-MB-231} & \(p\)-value & 0.1305 & \(6.271\times 10^{-8}\)* & 0.2152 & 0.5003 \\ \cline{2-5}  & Coefficient of Regression & 0.0005864 & 0.20576 & 0.09413 & 0.002546 \\ \hline \multirow{2}{*}{SK-BR-3} & \(p\)-value & 0.0006389 * & 8.94 \(\times\)\(10^{-10}\)* & 0.01111 * & - \\ \cline{2-5}  & Coefficient of Regression & \(3.18\times 10^{-4}\) & 0.04626 & 0.06148 & - \\ \hline \end{tabular}
\end{table} 
Table 3: \(p\)-values and coefficients of linear regression for all cell proliferation models for cells treated for 5 min (* \(p\) < 0.05). The same data analysis was conducted for cells treated with CHCP for 5 min. For the 5 min treatment, all variables showed causality (see Table 3) when proliferation was set as the effect variable. Ki-67 showed the greatest causality for all cell lines, except MCF-7, after 5 min of CAP treatment.