Background:TP53 mutations are common in breast cancer.There is currently no large-scale cohort study to investigate the TP53 landscape in breast cancer patients from China.The predictive value of TP53 mutations for th...Background:TP53 mutations are common in breast cancer.There is currently no large-scale cohort study to investigate the TP53 landscape in breast cancer patients from China.The predictive value of TP53 mutations for the efficacy of human epidermal growth factor receptor 2(HER2)-targeted therapy in breast cancer remains controversial.In the present study,we aimed to analyze the clinical spectrum and prognostic value of TP53 mutations in circulating tumor DNA(ctDNA)from breast cancer patients in China.Methods:We retrospectively analyzed the clinical data and TP53 mutation features in ctDNA samples from 804 patients withmetastatic breast cancer.TP53 mutations were detected by target region capture-based next-generation sequencing.The relationship between TP53 mutation status and disease-free survival(DFS)was analyzed in 444 patientswithmetastatic breast cancer.Moreover,the relationship between TP53 mutation status and progression-free survival(PFS)was analyzed in 55 HER2-positive patients treated with first-line trastuzumab-based therapy.Kaplan-Meier analysis was performed to estimate the survival curves of the different subgroups,and the log-rank test was used to compare the curves.A Cox regression model was used to estimate multivariable-adjusted hazard ratios and their 95%confidence intervals(CIs)associated with the DFS and PFS.Results:Among the 804 investigated patients,431(53.6%)patients harbored TP53 mutations.TP53 mutations were differentially distributed among different molecular subtypes of breast cancer(P<0.05).Patients with TP53 mutations had a shorter DFS than those with wild-type TP53(hazard ratio=1.32,95%CI=1.09-1.61,P=0.005).TP53 mutations in exons 5-8 were associated with worse outcome(hazard ratio=1.50,95%CI=1.11-2.03,P=0.009).However,TP53 mutation status was not significantly associated with PFS in HER2-positive patients who received firstline trastuzumab-based therapy(P=0.966).Interestingly,in the taxane combination group,patients with TP53 mutations exhibited longer PFS than those without TP53 mutations(hazard ratio=0.08,95%CI=0.02-0.30,P<0.001).However,in the nontaxane combination group,patients with TP53 mutations displayed shorter PFS than those with wild-type TP53(hazard ratio=4.84,95%CI=1.60-14.66,P=0.005).Conclusions:TP53 mutations in exons 5-8 may be an independent prognostic marker for short DFS in patients with metastatic breast cancer.TP53 mutations had opposite effects on trastuzumab-treated patients treated with and without taxanes.展开更多
Our previous studies indicate that phosphatidylinositol 4-kinase Ila can promote the growth of multi-malignant tumors via HER-2/PI3K and MAPK pathways. However, the molecular mechanisms of this pathway and its potenti...Our previous studies indicate that phosphatidylinositol 4-kinase Ila can promote the growth of multi-malignant tumors via HER-2/PI3K and MAPK pathways. However, the molecular mechanisms of this pathway and its potential for clinical application remain unknown. In this study, we found that PI4KIla could be an ideal combinatorial target for EGFR treatment via regulating EGFR degradation. Results showed that PI4KIla knockdown reduced EGFR protein level, and the expression of Pi4KIla shows a strong correlation with EGFR in human breast cancer tissues （r= 0.77, P 〈 0.01）. PI4KIla knockdown greatly prolonged the effects and decreased the effective dosage of AG-1478, a specific inhibitor of EGFR. In addition, it significantly enhanced AG1478-induced inhibition of tumor cell survival and strengthened the effect of the EGFR-targeting anti-cancer drug Iressa in xenograft tumor models. Mechanistically, we found that PI4KIla suppression increased EGFR ligand-independent degradation. Quantitative proteomic analysis by stable isotope labeling with amino acids in cell culture （SlLAC） and LC-MS/MS suggested that HsPg0 mediated the effect of PI4KIla on EGFR. Furthermore, we found that combined inhibition of PI4KIla and EGFR suppressed both PI3K/AKT and MAPK/ERK pathways, and resulted in downregulation of multiple oncogenes like PRDX2, FASN, MTA2, ultimately leading to suppression of tumor growth. Therefore, we conclude that combined inhibition of PI4KIla and EGFR exerts a multiple anti-tumor effect. Dual inhibition of EGFR at protein and activity level via combinatorial blocking of PI4KIla presents a novel strategy to combat EGFR-dependent tumors.展开更多
Dear editor,Breast cancer has been considered as the most common malignancy and the leading cause of death in women worldwide[1].Triple-negative breast cancer(TNBC)accounts for 10%-20%of breast cancers,which are chara...Dear editor,Breast cancer has been considered as the most common malignancy and the leading cause of death in women worldwide[1].Triple-negative breast cancer(TNBC)accounts for 10%-20%of breast cancers,which are characterized by the absence of estrogen receptor(ER),progesterone receptor(PR),and amplification of human epidermal growth factor receptor 2(HER2)[2].TNBC is well known for its rapid progressiveness,high rate of distant organ recurrence,and poor prognosis.Metastasis remains the major cause of death for patients with TNBCs.Up to date,the only direct treatment for metastatic TNBCs is chemotherapy,which has been challenged by tumor heterogeneity and drug resistance.Lack of effective targeted therapy for metastatic TNBCs impels researchers to focus on discovering potentially actionable targets through mutational profiling.展开更多
Circulating tumor DNA(ctDNA)is a potential biomarker of prognosis and therapeutic response.We conducted this study to explore the role of the molecular tumor burden index(mTBI)in ctDNA as a therapeutic response and pr...Circulating tumor DNA(ctDNA)is a potential biomarker of prognosis and therapeutic response.We conducted this study to explore the role of the molecular tumor burden index(mTBI)in ctDNA as a therapeutic response and prognostic biomarker in a larger cohort prospective phase III randomized multicenter study.We collected 291 plasma samples from 125 metastatic breast cancer patients from the CAMELLIA study(NCT01917279).Target-capture deep sequencing of 1021 genes was performed to detect somatic variants in ctDNA from the plasma samples.The pretreatment mTBI value was correlated with tumor burden(P=0.025).Patients with high-level pretreatment mTBI had shorter overall survival than patients with low-level pretreatment mTBI,and the median overall survival was 40.9 months and 68.4 months,respectively(P=0.011).Patients with mTBI decrease to less than 0.02%at the first tumor evaluation had longer progression-free survival and overall survival(P<0.001 and P=0.007,respectively).The mTBI has good sensitivity to identify complete response/partial response and progressive disease based on computed tomography scans(88.5%and 87.5%,respectively).The patients classified as molecular responders had longer progression-free survival and overall survival than the nonmolecular responders in the overall cohort(P<0.001 and P=0.036,respectively),as well as in the cohort in which computed tomography scans were defined as representing stable disease(P=0.027 and P=0.015,respectively).The mTBI in ctDNA detected in liquid biopsies is a potential biomarker of therapeutic response and prognosis in patients with metastatic breast cancer.展开更多
基金supported by the grants from the Chinese Academy of Medical Sciences(CAMS)Initiative for InnovativeMedicine(CAMS-12 M-1-010,2017-I2M-3-004)the National Natural Science Foundation of China(81874122).
文摘Background:TP53 mutations are common in breast cancer.There is currently no large-scale cohort study to investigate the TP53 landscape in breast cancer patients from China.The predictive value of TP53 mutations for the efficacy of human epidermal growth factor receptor 2(HER2)-targeted therapy in breast cancer remains controversial.In the present study,we aimed to analyze the clinical spectrum and prognostic value of TP53 mutations in circulating tumor DNA(ctDNA)from breast cancer patients in China.Methods:We retrospectively analyzed the clinical data and TP53 mutation features in ctDNA samples from 804 patients withmetastatic breast cancer.TP53 mutations were detected by target region capture-based next-generation sequencing.The relationship between TP53 mutation status and disease-free survival(DFS)was analyzed in 444 patientswithmetastatic breast cancer.Moreover,the relationship between TP53 mutation status and progression-free survival(PFS)was analyzed in 55 HER2-positive patients treated with first-line trastuzumab-based therapy.Kaplan-Meier analysis was performed to estimate the survival curves of the different subgroups,and the log-rank test was used to compare the curves.A Cox regression model was used to estimate multivariable-adjusted hazard ratios and their 95%confidence intervals(CIs)associated with the DFS and PFS.Results:Among the 804 investigated patients,431(53.6%)patients harbored TP53 mutations.TP53 mutations were differentially distributed among different molecular subtypes of breast cancer(P<0.05).Patients with TP53 mutations had a shorter DFS than those with wild-type TP53(hazard ratio=1.32,95%CI=1.09-1.61,P=0.005).TP53 mutations in exons 5-8 were associated with worse outcome(hazard ratio=1.50,95%CI=1.11-2.03,P=0.009).However,TP53 mutation status was not significantly associated with PFS in HER2-positive patients who received firstline trastuzumab-based therapy(P=0.966).Interestingly,in the taxane combination group,patients with TP53 mutations exhibited longer PFS than those without TP53 mutations(hazard ratio=0.08,95%CI=0.02-0.30,P<0.001).However,in the nontaxane combination group,patients with TP53 mutations displayed shorter PFS than those with wild-type TP53(hazard ratio=4.84,95%CI=1.60-14.66,P=0.005).Conclusions:TP53 mutations in exons 5-8 may be an independent prognostic marker for short DFS in patients with metastatic breast cancer.TP53 mutations had opposite effects on trastuzumab-treated patients treated with and without taxanes.
文摘Our previous studies indicate that phosphatidylinositol 4-kinase Ila can promote the growth of multi-malignant tumors via HER-2/PI3K and MAPK pathways. However, the molecular mechanisms of this pathway and its potential for clinical application remain unknown. In this study, we found that PI4KIla could be an ideal combinatorial target for EGFR treatment via regulating EGFR degradation. Results showed that PI4KIla knockdown reduced EGFR protein level, and the expression of Pi4KIla shows a strong correlation with EGFR in human breast cancer tissues （r= 0.77, P 〈 0.01）. PI4KIla knockdown greatly prolonged the effects and decreased the effective dosage of AG-1478, a specific inhibitor of EGFR. In addition, it significantly enhanced AG1478-induced inhibition of tumor cell survival and strengthened the effect of the EGFR-targeting anti-cancer drug Iressa in xenograft tumor models. Mechanistically, we found that PI4KIla suppression increased EGFR ligand-independent degradation. Quantitative proteomic analysis by stable isotope labeling with amino acids in cell culture （SlLAC） and LC-MS/MS suggested that HsPg0 mediated the effect of PI4KIla on EGFR. Furthermore, we found that combined inhibition of PI4KIla and EGFR suppressed both PI3K/AKT and MAPK/ERK pathways, and resulted in downregulation of multiple oncogenes like PRDX2, FASN, MTA2, ultimately leading to suppression of tumor growth. Therefore, we conclude that combined inhibition of PI4KIla and EGFR exerts a multiple anti-tumor effect. Dual inhibition of EGFR at protein and activity level via combinatorial blocking of PI4KIla presents a novel strategy to combat EGFR-dependent tumors.
基金This work was supported by the National Key R&D Program of China(2018YFC1312101)Chinese Academy of Medical Sciences(CAMS)Initiative for Innovative Medicine(CAMS-12M-1-010,2017-12M-3-004)+2 种基金Major Project of Beijing Municipal Science and Technology Commission(D161100000816004)National Science and Technology Major Project of the Ministry of Science and Technology,China(2015ZX09101007)Beijing Municipal Science and Technology Project(D161100000816004).
文摘Dear editor,Breast cancer has been considered as the most common malignancy and the leading cause of death in women worldwide[1].Triple-negative breast cancer(TNBC)accounts for 10%-20%of breast cancers,which are characterized by the absence of estrogen receptor(ER),progesterone receptor(PR),and amplification of human epidermal growth factor receptor 2(HER2)[2].TNBC is well known for its rapid progressiveness,high rate of distant organ recurrence,and poor prognosis.Metastasis remains the major cause of death for patients with TNBCs.Up to date,the only direct treatment for metastatic TNBCs is chemotherapy,which has been challenged by tumor heterogeneity and drug resistance.Lack of effective targeted therapy for metastatic TNBCs impels researchers to focus on discovering potentially actionable targets through mutational profiling.
基金This work was supported by‘National Natural Science Foundation of China’(Grant Number:81874122)‘CAMS Initiative for Innovative Medicine’(Grant Number:2017-I2M-3-004)‘Major Project of the Beijing Municipal Science and Technology Commission’(Grant Number:D161100000816004).
文摘Circulating tumor DNA(ctDNA)is a potential biomarker of prognosis and therapeutic response.We conducted this study to explore the role of the molecular tumor burden index(mTBI)in ctDNA as a therapeutic response and prognostic biomarker in a larger cohort prospective phase III randomized multicenter study.We collected 291 plasma samples from 125 metastatic breast cancer patients from the CAMELLIA study(NCT01917279).Target-capture deep sequencing of 1021 genes was performed to detect somatic variants in ctDNA from the plasma samples.The pretreatment mTBI value was correlated with tumor burden(P=0.025).Patients with high-level pretreatment mTBI had shorter overall survival than patients with low-level pretreatment mTBI,and the median overall survival was 40.9 months and 68.4 months,respectively(P=0.011).Patients with mTBI decrease to less than 0.02%at the first tumor evaluation had longer progression-free survival and overall survival(P<0.001 and P=0.007,respectively).The mTBI has good sensitivity to identify complete response/partial response and progressive disease based on computed tomography scans(88.5%and 87.5%,respectively).The patients classified as molecular responders had longer progression-free survival and overall survival than the nonmolecular responders in the overall cohort(P<0.001 and P=0.036,respectively),as well as in the cohort in which computed tomography scans were defined as representing stable disease(P=0.027 and P=0.015,respectively).The mTBI in ctDNA detected in liquid biopsies is a potential biomarker of therapeutic response and prognosis in patients with metastatic breast cancer.
