Pub Date : 2024-09-01Epub Date: 2024-01-09DOI: 10.1016/j.jncc.2024.01.001
Chimeric antigen receptor (CAR) T-cell therapy has emerged as a groundbreaking approach in cancer treatment, utilizing the immune system's capabilities to combat malignancies. This innovative therapy involves extracting T-cells from a patient's blood, genetically modifying them to target specific cancer cells, and reinfusing them back into the patient's body. The genetically modified T-cells then seek out and eliminate cancer cells, offering a promising therapeutic strategy. Since its initial approval in 2017, CAR-T therapy has witnessed remarkable advancements and updates. Notably, CAR-T therapy, which was initially developed for hematological malignancies, has expanded its scope to target solid tumors. Currently, clinical trials are underway to explore the efficacy of CAR-T therapy in treating various solid tumors, such as lung cancer, breast cancer, and ovarian cancer. These trials hold great potential to revolutionize cancer treatment and provide new hope to patients with challenging-to-treat solid tumors. In this mini-review, we present an overview of CAR-T therapy's mechanisms, emphasizing its role in targeting cancer cells and the potential therapeutic benefits. Additionally, we discuss the recent progress and updates in CAR-T therapy, particularly its application in treating solid tumors, and highlight the ongoing clinical trials aimed at broadening its therapeutic horizon. The evolving landscape of CAR-T therapy signifies a promising direction in cancer therapeutics, with the potential to revolutionize the treatment of both hematological and solid tumor malignancies.
{"title":"CAR-T in cancer therapeutics and updates","authors":"","doi":"10.1016/j.jncc.2024.01.001","DOIUrl":"10.1016/j.jncc.2024.01.001","url":null,"abstract":"<div><p>Chimeric antigen receptor (CAR) T-cell therapy has emerged as a groundbreaking approach in cancer treatment, utilizing the immune system's capabilities to combat malignancies. This innovative therapy involves extracting T-cells from a patient's blood, genetically modifying them to target specific cancer cells, and reinfusing them back into the patient's body. The genetically modified T-cells then seek out and eliminate cancer cells, offering a promising therapeutic strategy. Since its initial approval in 2017, CAR-T therapy has witnessed remarkable advancements and updates. Notably, CAR-T therapy, which was initially developed for hematological malignancies, has expanded its scope to target solid tumors. Currently, clinical trials are underway to explore the efficacy of CAR-T therapy in treating various solid tumors, such as lung cancer, breast cancer, and ovarian cancer. These trials hold great potential to revolutionize cancer treatment and provide new hope to patients with challenging-to-treat solid tumors. In this mini-review, we present an overview of CAR-T therapy's mechanisms, emphasizing its role in targeting cancer cells and the potential therapeutic benefits. Additionally, we discuss the recent progress and updates in CAR-T therapy, particularly its application in treating solid tumors, and highlight the ongoing clinical trials aimed at broadening its therapeutic horizon. The evolving landscape of CAR-T therapy signifies a promising direction in cancer therapeutics, with the potential to revolutionize the treatment of both hematological and solid tumor malignancies.</p></div>","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 3","pages":"Pages 189-194"},"PeriodicalIF":7.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667005424000012/pdfft?md5=506eafe8fb2394dd960f5b928f7d0cca&pid=1-s2.0-S2667005424000012-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139454713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-04-23DOI: 10.1016/j.jncc.2024.04.002
Objective
To evaluate whether improved progression-free survival (PFS) from radiotherapy (RT) translates into an overall survival (OS) benefit for diffuse large B-cell lymphoma (DLBCL).
Methods
A systematic literature search identified randomized controlled trials (RCTs) and retrospective studies that compared combined-modality therapy (CMT) with chemotherapy (CT) alone. Weighted regression analyses were used to estimate the correlation between OS and PFS benefits. Cohen's kappa statistic assessed the consistency between DLBCL risk-models and PFS patterns. Furthermore, the benefit trend of RT was analyzed by fitting a linear regression model to the pooled hazard ratio (HR) according to the PFS patterns.
Results
For both 7 RCTs and 52 retrospective studies, correlations were found between PFS HR (HRPFS) and OS HR (HROS) at trial level (r = 0.639–0.876), and between PFS and OS rates at treatment-arm level, regardless of CT regimens (r = 0.882–0.964). Incorporating RT into CT increased about 18% of PFS, and revealed a different OS benefit profile. Patients were stratified into four CT-generated PFS patterns (>80%, >60–80%, >40–60%, and ≤40%), which was consistent with risk-stratified subgroups (kappa > 0.6). Absolute gain in OS from RT ranged from ≤5% at PFS >80% to about 21% at PFS ≤40%, with pooled HROS from 0.70 (95% CI, 0.51–0.97) to 0.48 (95% CI, 0.36–0.63) after rituximab-based CT. The OS benefit of RT was predominant in intermediate- and high-risk patients with PFS ≤ 80%.
Conclusion
We demonstrated a varied OS benefit profile of RT to inform treatment decisions and clinical trial design.
{"title":"Association of overall survival benefit of radiotherapy with progression-free survival after chemotherapy for diffuse large B-cell lymphoma: A systematic review and meta-analysis","authors":"","doi":"10.1016/j.jncc.2024.04.002","DOIUrl":"10.1016/j.jncc.2024.04.002","url":null,"abstract":"<div><h3>Objective</h3><p>To evaluate whether improved progression-free survival (PFS) from radiotherapy (RT) translates into an overall survival (OS) benefit for diffuse large B-cell lymphoma (DLBCL).</p></div><div><h3>Methods</h3><p>A systematic literature search identified randomized controlled trials (RCTs) and retrospective studies that compared combined-modality therapy (CMT) with chemotherapy (CT) alone. Weighted regression analyses were used to estimate the correlation between OS and PFS benefits. Cohen's kappa statistic assessed the consistency between DLBCL risk-models and PFS patterns. Furthermore, the benefit trend of RT was analyzed by fitting a linear regression model to the pooled hazard ratio (HR) according to the PFS patterns.</p></div><div><h3>Results</h3><p>For both 7 RCTs and 52 retrospective studies, correlations were found between PFS HR (HR<sub>PFS</sub>) and OS HR (HR<sub>OS</sub>) at trial level (<em>r</em> = 0.639–0.876), and between PFS and OS rates at treatment-arm level, regardless of CT regimens (<em>r</em> = 0.882–0.964). Incorporating RT into CT increased about 18% of PFS, and revealed a different OS benefit profile. Patients were stratified into four CT-generated PFS patterns (>80%, >60–80%, >40–60%, and ≤40%), which was consistent with risk-stratified subgroups (kappa > 0.6). Absolute gain in OS from RT ranged from ≤5% at PFS >80% to about 21% at PFS ≤40%, with pooled HR<sub>OS</sub> from 0.70 (95% CI, 0.51–0.97) to 0.48 (95% CI, 0.36–0.63) after rituximab-based CT. The OS benefit of RT was predominant in intermediate- and high-risk patients with PFS ≤ 80%.</p></div><div><h3>Conclusion</h3><p>We demonstrated a varied OS benefit profile of RT to inform treatment decisions and clinical trial design.</p></div>","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 3","pages":"Pages 249-259"},"PeriodicalIF":7.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667005424000231/pdfft?md5=6ecbbe0e8123ee6ac7c34f77b7ccb7f5&pid=1-s2.0-S2667005424000231-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140764999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-06-17DOI: 10.1016/j.jncc.2024.06.002
Xiaobin Zhu, Rajiv Trehan, Changqing Xie
Primary liver cancer is a leading cause of death worldwide. To create advanced treatments for primary liver cancer, studies have utilized models such as 2D cell culture and in vivo animal models. Recent developments in cancer organoids have created the possibility for 3D in vitro cultures that recapitulates the cancer cell structure and operation as well as the tumor microenvironment (TME). However, before organoids can be directly translated to clinical use, tissue processing and culture medium must be standardized with unified protocols to decrease variability in results. Herein, we present the wide variety of published methodologies used to derive liver cancer organoids from patient tumor tissues. Additionally, we summarize validation methodologies for organoids in terms of marker expression levels with immunohistochemistry as well as the presence of mutations and variants through RNA-sequencing. Primary liver cancer organoids have exciting applications allowing for faster drug testing at a larger scale. Primary liver cancer organoids also assisit in uncovering new mechanisms. Through the coculture of different immune cells and cancer organoids, organoids are now better able to recapitulate the liver cancer TME. In addition, it further aids in the investigation of drug development and drug resistance. Lastly, we posit that the usage of liver cancer organoids in animal models provides researchers a methodology to overcome the current limitations of culture systems.
{"title":"Primary liver cancer organoids and their application to research and therapy","authors":"Xiaobin Zhu, Rajiv Trehan, Changqing Xie","doi":"10.1016/j.jncc.2024.06.002","DOIUrl":"10.1016/j.jncc.2024.06.002","url":null,"abstract":"<div><p>Primary liver cancer is a leading cause of death worldwide. To create advanced treatments for primary liver cancer, studies have utilized models such as 2D cell culture and <em>in vivo</em> animal models. Recent developments in cancer organoids have created the possibility for 3D <em>in vitro</em> cultures that recapitulates the cancer cell structure and operation as well as the tumor microenvironment (TME)<em>.</em> However, before organoids can be directly translated to clinical use, tissue processing and culture medium must be standardized with unified protocols to decrease variability in results. Herein, we present the wide variety of published methodologies used to derive liver cancer organoids from patient tumor tissues. Additionally, we summarize validation methodologies for organoids in terms of marker expression levels with immunohistochemistry as well as the presence of mutations and variants through RNA-sequencing. Primary liver cancer organoids have exciting applications allowing for faster drug testing at a larger scale. Primary liver cancer organoids also assisit in uncovering new mechanisms. Through the coculture of different immune cells and cancer organoids, organoids are now better able to recapitulate the liver cancer TME. In addition, it further aids in the investigation of drug development and drug resistance. Lastly, we posit that the usage of liver cancer organoids in animal models provides researchers a methodology to overcome the current limitations of culture systems.</p></div>","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 3","pages":"Pages 195-202"},"PeriodicalIF":7.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667005424000450/pdfft?md5=71d57bff340d848aa3d9e6fef9dac00e&pid=1-s2.0-S2667005424000450-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142048635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-05-25DOI: 10.1016/j.jncc.2024.05.005
Diwei Zhao , Anqi Wang , Yuanwei Li , Xinyang Cai , Junliang Zhao , Tianyou Zhang , Yi Zhao , Yu Dong , Fangjian Zhou , Yonghong Li , Jun Wang
Background
The homologous recombination deficiency (HRD) score serves as a promising biomarker to identify patients who are eligible for treatment with PARP inhibitors (PARPi). Previous studies have suggested a 3-biomarker Genomic Instability Score (GIS) threshold of ≥ 42 as a valid biomarker to predict response to PARPi in patients with ovarian cancer and breast cancer. However, the GIS threshold for prostate cancer (PCa) is still lacking. Here, we conducted an exploratory analysis to investigate an appropriate HRD score threshold and to evaluate its ability to predict response to PARPi in PCa patients.
Methods
A total of 181 patients with metastatic castration-resistant PCa were included in this study. Tumor tissue specimens were collected for targeted next-generation sequencing for homologous recombination repair (HRR) genes and copy number variation (CNV) analysis. The HRD score was calculated based on over 50,000 single-nucleotide polymorphisms (SNP) distributed across the human genome, incorporating three SNP-based assays: loss of heterozygosity, telomeric allelic imbalance, and large-scale state transition. The HRD score threshold was set at the last 5th percentile of the HRD scores in our cohort of known HRR-deficient tumors. The relationship between the HRD score and the efficacy in 16 patients of our cohort who received PARPi treatment were retrospectively analyzed.
Results
Genomic testing was succeeded in 162 patients. In our cohort, 61 patients (37.7%) had HRR mutations (HRRm). BRCA mutations occurred in 15 patients (9.3%). The median HRD score was 4 (ranged from 0 to 57) in the total cohort, which is much lower than that in breast and ovarian cancers. Patients who harbored HRRm and BRCA or TP53 mutations had higher HRD scores. CNV occured more frequently in patients with HRRm. The last 5th percentile of HRD scores was 43 in the HRR-mutant cohort and consequently HRD high was defined as HRD scores 43. In the 16 patients who received PARPi in our cohort, 4 patients with a high HRD score achieved an objective response rate (ORR) of 100% while 12 patients with a low HRD score achieved an ORR of 8.3%. Progression-free survival (PFS) in HRD high patients was longer compared to HRD low patients, regardless of HRRm.
Conclusions
A HRD score threshold of 43 was established and preliminarily validated to predict the efficacy of PARPi in this study. Future studies are needed to further verify this threshold.
{"title":"Establishing the homologous recombination score threshold in metastatic prostate cancer patients to predict the efficacy of PARP inhibitors","authors":"Diwei Zhao , Anqi Wang , Yuanwei Li , Xinyang Cai , Junliang Zhao , Tianyou Zhang , Yi Zhao , Yu Dong , Fangjian Zhou , Yonghong Li , Jun Wang","doi":"10.1016/j.jncc.2024.05.005","DOIUrl":"10.1016/j.jncc.2024.05.005","url":null,"abstract":"<div><h3>Background</h3><p>The homologous recombination deficiency (HRD) score serves as a promising biomarker to identify patients who are eligible for treatment with PARP inhibitors (PARPi). Previous studies have suggested a 3-biomarker Genomic Instability Score (GIS) threshold of ≥ 42 as a valid biomarker to predict response to PARPi in patients with ovarian cancer and breast cancer. However, the GIS threshold for prostate cancer (PCa) is still lacking. Here, we conducted an exploratory analysis to investigate an appropriate HRD score threshold and to evaluate its ability to predict response to PARPi in PCa patients.</p></div><div><h3>Methods</h3><p>A total of 181 patients with metastatic castration-resistant PCa were included in this study. Tumor tissue specimens were collected for targeted next-generation sequencing for homologous recombination repair (HRR) genes and copy number variation (CNV) analysis. The HRD score was calculated based on over 50,000 single-nucleotide polymorphisms (SNP) distributed across the human genome, incorporating three SNP-based assays: loss of heterozygosity, telomeric allelic imbalance, and large-scale state transition. The HRD score threshold was set at the last 5th percentile of the HRD scores in our cohort of known HRR-deficient tumors. The relationship between the HRD score and the efficacy in 16 patients of our cohort who received PARPi treatment were retrospectively analyzed.</p></div><div><h3>Results</h3><p>Genomic testing was succeeded in 162 patients. In our cohort, 61 patients (37.7%) had HRR mutations (HRRm). <em>BRCA</em> mutations occurred in 15 patients (9.3%). The median HRD score was 4 (ranged from 0 to 57) in the total cohort, which is much lower than that in breast and ovarian cancers. Patients who harbored HRRm and <em>BRCA</em> or <em>TP53</em> mutations had higher HRD scores. CNV occured more frequently in patients with HRRm. The last 5th percentile of HRD scores was 43 in the HRR-mutant cohort and consequently HRD high was defined as HRD scores <span><math><mrow><mo>≥</mo><mspace></mspace></mrow></math></span>43. In the 16 patients who received PARPi in our cohort, 4 patients with a high HRD score achieved an objective response rate (ORR) of 100% while 12 patients with a low HRD score achieved an ORR of 8.3%. Progression-free survival (PFS) in HRD high patients was longer compared to HRD low patients, regardless of HRRm.</p></div><div><h3>Conclusions</h3><p>A HRD score threshold of 43 was established and preliminarily validated to predict the efficacy of PARPi in this study. Future studies are needed to further verify this threshold.</p></div>","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 3","pages":"Pages 280-287"},"PeriodicalIF":7.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667005424000437/pdfft?md5=71938580a84e1e26f7364a42bb5c0ec5&pid=1-s2.0-S2667005424000437-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142048652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-05-11DOI: 10.1016/j.jncc.2024.05.004
{"title":"Precision radiation therapy in the modern era of multidisciplinary care in oncology: What matters to our patients and beyond?","authors":"","doi":"10.1016/j.jncc.2024.05.004","DOIUrl":"10.1016/j.jncc.2024.05.004","url":null,"abstract":"","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 3","pages":"Pages 260-262"},"PeriodicalIF":7.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667005424000309/pdfft?md5=a6de2dde265b559dcbf419bd036231a4&pid=1-s2.0-S2667005424000309-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141031323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-05-11DOI: 10.1016/j.jncc.2024.05.003
Objective
To provide the most up-to-date data on the burden of malignant mesothelioma (MM) and the projections through 2029 in China.
Methods
Data on patients diagnosed with MM from China during 1990–2019 were obtained from the Global Burden of Disease (GBD) 2019 database, including annual cases and deaths data and age-standardized rates of incidence, mortality, and disability-adjusted life-years (DALYs) associated with MM among different age groups. Temporal trends during 1990–2019 were analyzed by the Joinpoint regression models using 95% confidence interval (CI), while the projections through 2029 were calculated by the Bayesian age-period-cohort model. Data on the production and consumption of asbestos in China were obtained from the United States Geological Survey on Mineral Commodity Summaries during 1996–2023.
Results
We observed a significant elevation in incident new cases and deaths over the last 3 decades, increasing from 1193 in 1990 to 2815 in 2019 for incident cases and from 1134 in 1990 to 2773 in 2019 for death cases. We found a roughly 6% increase in the proportion of incident cases for those aged >70 years (30% in 2019 versus 24% in 1990), while for the proportion of deaths similar elevation for those aged >70 years was found. Additionally, men had significantly higher DALYs due to MM across age groups compared with women. Asbestos consumption in China dramatically dropped since 2012 and reached the bottom in 2017 with 230 kilotons. By 2029, the projected age-standardized rate for incidence and mortality is expected to reach 1.2 per million for both.
Conclusion
We found, for the first time using GBD data on the Chinese population, that the burden of MM has been significantly increasing in China over the last three decades and will continue to increase in the upcoming decade, suggesting an urgent need for a complete ban on chrysotile asbestos in China.
{"title":"Burden of malignant mesothelioma in China during 1990–2019 and the projections through 2029","authors":"","doi":"10.1016/j.jncc.2024.05.003","DOIUrl":"10.1016/j.jncc.2024.05.003","url":null,"abstract":"<div><h3>Objective</h3><p>To provide the most up-to-date data on the burden of malignant mesothelioma (MM) and the projections through 2029 in China.</p></div><div><h3>Methods</h3><p>Data on patients diagnosed with MM from China during 1990–2019 were obtained from the Global Burden of Disease (GBD) 2019 database, including annual cases and deaths data and age-standardized rates of incidence, mortality, and disability-adjusted life-years (DALYs) associated with MM among different age groups. Temporal trends during 1990–2019 were analyzed by the Joinpoint regression models using 95% confidence interval (CI), while the projections through 2029 were calculated by the Bayesian age-period-cohort model. Data on the production and consumption of asbestos in China were obtained from the United States Geological Survey on Mineral Commodity Summaries during 1996–2023.</p></div><div><h3>Results</h3><p>We observed a significant elevation in incident new cases and deaths over the last 3 decades, increasing from 1193 in 1990 to 2815 in 2019 for incident cases and from 1134 in 1990 to 2773 in 2019 for death cases. We found a roughly 6% increase in the proportion of incident cases for those aged >70 years (30% in 2019 versus 24% in 1990), while for the proportion of deaths similar elevation for those aged >70 years was found. Additionally, men had significantly higher DALYs due to MM across age groups compared with women. Asbestos consumption in China dramatically dropped since 2012 and reached the bottom in 2017 with 230 kilotons. By 2029, the projected age-standardized rate for incidence and mortality is expected to reach 1.2 per million for both.</p></div><div><h3>Conclusion</h3><p>We found, for the first time using GBD data on the Chinese population, that the burden of MM has been significantly increasing in China over the last three decades and will continue to increase in the upcoming decade, suggesting an urgent need for a complete ban on chrysotile asbestos in China.</p></div>","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 3","pages":"Pages 214-222"},"PeriodicalIF":7.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667005424000292/pdfft?md5=1ae76bef0471d1f5a72e72ff1c9c8196&pid=1-s2.0-S2667005424000292-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141050133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01Epub Date: 2024-05-03DOI: 10.1016/j.jncc.2024.04.005
Nana Guo , Qingxin Zhou , Meng Zhang , Xiaowei Chen , Baoqi Zeng , Shanshan Wu , Hongmei Zeng , Mopei Wang , Fei Ma , Feng Sun
Objective
Circulating tumor DNA (ctDNA) is increasingly being used as a potential prognostic biomarker in cancer patients. We aimed to assess the prognostic value of ctDNA in different subtypes of breast cancer patients throughout the whole treatment cycle.
Materials and methods
PubMed, Web of Science, Embase, Cochrane Library, Scopus, and clinical trials.gov databases were searched from January 2016 to May 2022. The following search terms were used: ctDNA OR circulating tumor DNA AND breast cancer OR breast carcinoma. Only studies written in English were included. The following pre-specified criteria should be met for inclusion: (i) original articles, conference abstracts, etc.; (ii) patients with breast cancer; (iii) ctDNA measurement; and (iv) clinical outcome data such as recurrence-free survival (RFS) and overall survival (OS). The random-effects model was preferred considering the potential heterogeneity across studies. The main outcomes are ctDNA detection rate and postoperative long-term outcomes (RFS and OS).
Results
A total of 24 studies were screened. At every measurement time, the ctDNA detection rate of the HR+ subgroup was similar to that of the HR- subgroup (P = 0.075; P = 0.458; P = 0.744; and P = 0.578), and the ctDNA detection rate of the HER2+ subgroup was similar to that of the HER2- subgroup (P = 0.805; P = 0.271; P = 0.807; and P = 0.703). In the HR+ subgroup, RFS and OS of ctDNA positive patients were similar to those of ctDNA negative patients (P = 0.589 and P = 0.110), while RFS and OS of the ctDNA positive group was significantly shorter than those of the ctDNA negative patients in the HR- subgroup (HR = 4.03, P < 0.001; HR = 3.21, P < 0.001). According to HER grouping, the results were the same as above. In the triple negative breast cancer (TNBC) subgroup, the RFS and OS of ctDNA-positive patients was significantly shorter than of the ctDNA negative patients before and after surgery.
Conclusions
ctDNA was more predictive of recurrence-free survival and overall survival in the HR- subgroup than in the HR+ subgroup, and the same result was showed in the HER2- subgroup vs. HER2+ subgroup. The prognosis of the TNBC subtype is closely related to ctDNA before and after surgery.
目的循环肿瘤 DNA(ctDNA)越来越多地被用作癌症患者潜在的预后生物标志物。我们旨在评估ctDNA在不同亚型乳腺癌患者整个治疗周期中的预后价值。材料和方法检索了2016年1月至2022年5月期间的PubMed、Web of Science、Embase、Cochrane Library、Scopus和clinical trials.gov数据库。使用的检索词如下:ctDNA OR 循环肿瘤 DNA AND 乳腺癌 OR 乳腺癌。仅纳入以英语撰写的研究。纳入研究应符合以下预设标准:(i) 原创文章、会议摘要等;(ii) 乳腺癌患者;(iii) ctDNA 测量;(iv) 无复发生存期(RFS)和总生存期(OS)等临床结果数据。考虑到各研究之间可能存在异质性,因此首选随机效应模型。主要结果为ctDNA检出率和术后长期结果(RFS和OS)。在每个测量时间,HR+亚组的ctDNA检出率与HR-亚组相似(P = 0.075;P = 0.458;P = 0.744;P = 0.578),HER2+亚组的ctDNA检出率与HER2-亚组相似(P = 0.805;P = 0.271;P = 0.807;P = 0.703)。在HR+亚组中,ctDNA阳性患者的RFS和OS与ctDNA阴性患者相似(P = 0.589和P = 0.110),而在HR-亚组中,ctDNA阳性组的RFS和OS明显短于ctDNA阴性患者(HR = 4.03,P <0.001;HR = 3.21,P <0.001)。根据 HER 分组,结果与上述相同。在三阴性乳腺癌(TNBC)亚组中,ctDNA阳性患者手术前后的RFS和OS明显短于ctDNA阴性患者。TNBC亚型的预后与手术前后的ctDNA密切相关。
{"title":"The prognostic role of circulating tumor DNA across breast cancer molecular subtypes: A systematic review and meta-analysis","authors":"Nana Guo , Qingxin Zhou , Meng Zhang , Xiaowei Chen , Baoqi Zeng , Shanshan Wu , Hongmei Zeng , Mopei Wang , Fei Ma , Feng Sun","doi":"10.1016/j.jncc.2024.04.005","DOIUrl":"10.1016/j.jncc.2024.04.005","url":null,"abstract":"<div><h3>Objective</h3><p>Circulating tumor DNA (ctDNA) is increasingly being used as a potential prognostic biomarker in cancer patients. We aimed to assess the prognostic value of ctDNA in different subtypes of breast cancer patients throughout the whole treatment cycle.</p></div><div><h3>Materials and methods</h3><p>PubMed, Web of Science, Embase, Cochrane Library, Scopus, and clinical trials.gov databases were searched from January 2016 to May 2022. The following search terms were used: ctDNA OR circulating tumor DNA AND breast cancer OR breast carcinoma. Only studies written in English were included. The following pre-specified criteria should be met for inclusion: (i) original articles, conference abstracts, etc.; (ii) patients with breast cancer; (iii) ctDNA measurement; and (iv) clinical outcome data such as recurrence-free survival (RFS) and overall survival (OS). The random-effects model was preferred considering the potential heterogeneity across studies. The main outcomes are ctDNA detection rate and postoperative long-term outcomes (RFS and OS).</p></div><div><h3>Results</h3><p>A total of 24 studies were screened. At every measurement time, the ctDNA detection rate of the HR+ subgroup was similar to that of the HR- subgroup (<em>P</em> = 0.075; <em>P</em> = 0.458; <em>P</em> = 0.744; and <em>P</em> = 0.578), and the ctDNA detection rate of the HER2+ subgroup was similar to that of the HER2- subgroup (<em>P</em> = 0.805; <em>P</em> = 0.271; <em>P</em> = 0.807; and <em>P</em> = 0.703). In the HR+ subgroup, RFS and OS of ctDNA positive patients were similar to those of ctDNA negative patients (<em>P</em> = 0.589 and <em>P</em> = 0.110), while RFS and OS of the ctDNA positive group was significantly shorter than those of the ctDNA negative patients in the HR- subgroup (HR = 4.03, <em>P</em> < 0.001; HR = 3.21, <em>P</em> < 0.001). According to HER grouping, the results were the same as above. In the triple negative breast cancer (TNBC) subgroup, the RFS and OS of ctDNA-positive patients was significantly shorter than of the ctDNA negative patients before and after surgery.</p></div><div><h3>Conclusions</h3><p>ctDNA was more predictive of recurrence-free survival and overall survival in the HR- subgroup than in the HR+ subgroup, and the same result was showed in the HER2- subgroup <em>vs</em>. HER2+ subgroup. The prognosis of the TNBC subtype is closely related to ctDNA before and after surgery.</p></div>","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 2","pages":"Pages 153-161"},"PeriodicalIF":7.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667005424000267/pdfft?md5=fd31fa5ddae7c55667f1411404631dd6&pid=1-s2.0-S2667005424000267-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141050898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<div><h3>Objective</h3><p>Accurate prognosis prediction is critical for individualized-therapy making of gastric cancer patients. We aimed to develop and test 6-month, 1-, 2-, 3-, 5-, and 10-year overall survival (OS) and cancer-specific survival (CSS) prediction models for gastric cancer patients following gastrectomy.</p></div><div><h3>Methods</h3><p>We derived and tested Survival Quilts, a machine learning-based model, to develop 6-month, 1-, 2-, 3-, 5-, and 10-year OS and CSS prediction models. Gastrectomy patients in the development set (<em>n</em> = 20,583) and the internal validation set (<em>n</em> = 5,106) were recruited from the Surveillance, Epidemiology, and End Results (SEER) database, while those in the external validation set (<em>n</em> = 6,352) were recruited from the China National Cancer Center Gastric Cancer (NCCGC) database. Furthermore, we selected gastrectomy patients without neoadjuvant therapy as a subgroup to train and test the prognostic models in order to keep the accuracy of tumor-node-metastasis (TNM) stage. Prognostic performances of these OS and CSS models were assessed using the Concordance Index (C-index) and area under the curve (AUC) values.</p></div><div><h3>Results</h3><p>The machine learning model had a consistently high accuracy in predicting 6-month, 1-, 2-, 3-, 5-, and 10-year OS in the SEER development set (C-index = 0.861, 0.832, 0.789, 0.766, 0.740, and 0.709; AUC = 0.784, 0.828, 0.840, 0.849, 0.869, and 0.902, respectively), SEER validation set (C-index = 0.782, 0.739, 0.712, 0.698, 0.681, and 0.660; AUC = 0.751, 0.772, 0.767, 0.762, 0.766, and 0.787, respectively), and NCCGC set (C-index = 0.691, 0.756, 0.751, 0.737, 0.722, and 0.701; AUC = 0.769, 0.788, 0.790, 0.790, 0.787, and 0.788, respectively). The model was able to predict 6-month, 1-, 2-, 3-, 5-, and 10-year CSS in the SEER development set (C-index = 0.879, 0.858, 0.820, 0.802, 0.784, and 0.774; AUC = 0.756, 0.827, 0.852, 0.863, 0.874, and 0.884, respectively) and SEER validation set (C-index = 0.790, 0.763, 0.741, 0.729, 0.718, and 0.708; AUC = 0.706, 0.758, 0.767, 0.766, 0.766, and 0.764, respectively). In multivariate analysis, the high-risk group with risk score output by 5-year OS model was proved to be a strong survival predictor both in the SEER development set (hazard ratio [HR] = 14.59, 95% confidence interval [CI]: 1.872–2.774, <em>P</em> < 0.001), SEER validation set (HR = 2.28, 95% CI: 13.089–16.293, <em>P</em> < 0.001), and NCCGC set (HR = 1.98, 95% CI: 1.617–2.437, <em>P</em> <em><</em> 0.001). We further explored the prognostic value of risk score resulted 5-year CSS model of gastrectomy patients, and found that high-risk group remained as an independent CSS factor in the SEER development set (HR = 12.81, 95% CI: 11.568–14.194, <em>P</em> < 0.001) and SEER validation set (HR = 1.61, 95% CI: 1.338–1.935, <em>P</em> < 0.001).</p></div><div><h3>Conclusion</h3><p>Survival Quilts could allow accurate prediction of 6-m
{"title":"Application of Survival Quilts for prognosis prediction of gastrectomy patients based on the Surveillance, Epidemiology, and End Results database and China National Cancer Center Gastric Cancer database","authors":"Lulu Zhao , Penghui Niu , Wanqing Wang , Xue Han , Xiaoyi Luan , Huang Huang , Yawei Zhang , Dongbing Zhao , Jidong Gao , Yingtai Chen","doi":"10.1016/j.jncc.2024.01.007","DOIUrl":"10.1016/j.jncc.2024.01.007","url":null,"abstract":"<div><h3>Objective</h3><p>Accurate prognosis prediction is critical for individualized-therapy making of gastric cancer patients. We aimed to develop and test 6-month, 1-, 2-, 3-, 5-, and 10-year overall survival (OS) and cancer-specific survival (CSS) prediction models for gastric cancer patients following gastrectomy.</p></div><div><h3>Methods</h3><p>We derived and tested Survival Quilts, a machine learning-based model, to develop 6-month, 1-, 2-, 3-, 5-, and 10-year OS and CSS prediction models. Gastrectomy patients in the development set (<em>n</em> = 20,583) and the internal validation set (<em>n</em> = 5,106) were recruited from the Surveillance, Epidemiology, and End Results (SEER) database, while those in the external validation set (<em>n</em> = 6,352) were recruited from the China National Cancer Center Gastric Cancer (NCCGC) database. Furthermore, we selected gastrectomy patients without neoadjuvant therapy as a subgroup to train and test the prognostic models in order to keep the accuracy of tumor-node-metastasis (TNM) stage. Prognostic performances of these OS and CSS models were assessed using the Concordance Index (C-index) and area under the curve (AUC) values.</p></div><div><h3>Results</h3><p>The machine learning model had a consistently high accuracy in predicting 6-month, 1-, 2-, 3-, 5-, and 10-year OS in the SEER development set (C-index = 0.861, 0.832, 0.789, 0.766, 0.740, and 0.709; AUC = 0.784, 0.828, 0.840, 0.849, 0.869, and 0.902, respectively), SEER validation set (C-index = 0.782, 0.739, 0.712, 0.698, 0.681, and 0.660; AUC = 0.751, 0.772, 0.767, 0.762, 0.766, and 0.787, respectively), and NCCGC set (C-index = 0.691, 0.756, 0.751, 0.737, 0.722, and 0.701; AUC = 0.769, 0.788, 0.790, 0.790, 0.787, and 0.788, respectively). The model was able to predict 6-month, 1-, 2-, 3-, 5-, and 10-year CSS in the SEER development set (C-index = 0.879, 0.858, 0.820, 0.802, 0.784, and 0.774; AUC = 0.756, 0.827, 0.852, 0.863, 0.874, and 0.884, respectively) and SEER validation set (C-index = 0.790, 0.763, 0.741, 0.729, 0.718, and 0.708; AUC = 0.706, 0.758, 0.767, 0.766, 0.766, and 0.764, respectively). In multivariate analysis, the high-risk group with risk score output by 5-year OS model was proved to be a strong survival predictor both in the SEER development set (hazard ratio [HR] = 14.59, 95% confidence interval [CI]: 1.872–2.774, <em>P</em> < 0.001), SEER validation set (HR = 2.28, 95% CI: 13.089–16.293, <em>P</em> < 0.001), and NCCGC set (HR = 1.98, 95% CI: 1.617–2.437, <em>P</em> <em><</em> 0.001). We further explored the prognostic value of risk score resulted 5-year CSS model of gastrectomy patients, and found that high-risk group remained as an independent CSS factor in the SEER development set (HR = 12.81, 95% CI: 11.568–14.194, <em>P</em> < 0.001) and SEER validation set (HR = 1.61, 95% CI: 1.338–1.935, <em>P</em> < 0.001).</p></div><div><h3>Conclusion</h3><p>Survival Quilts could allow accurate prediction of 6-m","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 2","pages":"Pages 142-152"},"PeriodicalIF":7.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266700542400019X/pdfft?md5=03ed90ba842276e402ae3a9c6f81bd5f&pid=1-s2.0-S266700542400019X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140270218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01Epub Date: 2024-04-10DOI: 10.1016/j.jncc.2024.01.008
Yu Wang , Wenqing Wang , Tao Zhang , Yin Yang , Jianyang Wang , Canjun Li , Xin Xu , Yuqi Wu , Ying Jiang , Jinghao Duan , Luhua Wang , Nan Bi
<div><h3>Background</h3><p>Liquid biopsy-based biomarkers, including circulating tumor DNA (ctDNA) and blood tumor mutational burden (bTMB), are recognized as promising predictors of prognoses and responses to immune checkpoint inhibitors (ICIs), despite insufficient sensitivity of single biomarker detection. This research aims to determine whether the combinatorial utility of longitudinal ctDNA with bTMB analysis could improve the prognostic and predictive effects.</p></div><div><h3>Methods</h3><p>This prospective two-center cohort trial, consisting of discovery and validation datasets, enrolled unresectable locally advanced non-small-cell lung cancer (LA-NSCLC) patients and assigned them to chemoradiotherapy (CRT) or CRT + consolidation ICI cohorts from 2018 to 2022. Blood specimens were collected pretreatment, 4 weeks post-CRT, and at progression to assess bTMB and ctDNA using 486-gene next-generation sequencing. Dynamic ∆bTMB was calculated as post-CRT bTMB minus baseline bTMB levels. Decision curve analyses were performed to calculate Concordance index (C-index).</p></div><div><h3>Results</h3><p>One hundred twenty-eight patients were enrolled. In the discovery dataset (<em>n</em> = 73), patients treated with CRT and consolidation ICI had significantly longer overall survival (OS; median not reached [NR] vs 20.2 months; <em>P</em> < 0.001) and progression-free survival (PFS; median 25.2 vs 11.4 months; <em>P</em> = 0.011) than those without ICI. Longitudinal analysis demonstrated a significant decrease in ctDNA abundance post-CRT (<em>P</em> < 0.001) but a relative increase with disease progression. Post-CRT detectable residual ctDNA correlated with significantly shorter OS (median 18.3 months vs NR; <em>P</em> = 0.001) and PFS (median 7.3 vs 25.2 months; <em>P</em> < 0.001). For patients with residual ctDNA, consolidation ICI brought significantly greater OS (median NR vs 14.8 months; <em>P</em> = 0.005) and PFS (median 13.8 vs 6.2 months; <em>P</em> = 0.028) benefit, but no significant difference for patients with ctDNA clearance. Dynamic ∆bTMB was predictive of prognosis. Patients with residual ctDNA and increased ∆bTMB (∆bTMB > 0) had significantly worse OS (median 9.0 vs 23.0 months vs NR; <em>P</em> < 0.001) and PFS (median 3.4 vs 7.3 vs 25.2 months; <em>P</em> < 0.001). The combinatorial model integrating post-CRT ctDNA with ∆bTMB had optimal predictive effects on OS (C-index = 0.723) and PFS (C-index = 0.693), outperforming individual features. In the independent validation set, we confirmed residual ctDNA predicted poorer PFS (median 50.8 vs 14.3 months; <em>P</em> = 0.026) but identified more consolidation ICI benefit (median NR vs 8.3 months; <em>P</em> = 0.039). The combined model exhibited a stable predictive advantage (C-index = 0.742 for PFS).</p></div><div><h3>Conclusions</h3><p>The multiparameter assay integrating qualitative residual ctDNA testing with quantitative ∆bTMB dynamics improves patient prognostic
背景基于液体活检的生物标记物,包括循环肿瘤DNA(ctDNA)和血液肿瘤突变负荷(bTMB),被认为是预测预后和对免疫检查点抑制剂(ICIs)反应的有前途的指标,尽管单一生物标记物检测的灵敏度不足。这项研究旨在确定纵向ctDNA与bTMB分析的组合效用是否能改善预后和预测效果。方法这项前瞻性双中心队列试验由发现数据集和验证数据集组成,从2018年至2022年招募了不可切除的局部晚期非小细胞肺癌(LA-NSCLC)患者,并将他们分配到化疗放疗(CRT)或CRT+巩固ICI队列中。采集治疗前、CRT 后 4 周和进展期的血液标本,使用 486 基因新一代测序技术评估 bTMB 和 ctDNA。动态ΔbTMB的计算方法为CRT后bTMB减去基线bTMB水平。进行决策曲线分析以计算一致性指数(C-index)。在发现数据集中(n = 73),接受 CRT 和巩固 ICI 治疗的患者的总生存期(OS;中位数未达到 [NR] vs 20.2 个月;P < 0.001)和无进展生存期(PFS;中位数 25.2 vs 11.4 个月;P = 0.011)明显长于未接受 ICI 治疗的患者。纵向分析表明,CRT 后 ctDNA 丰度显著下降(P = 0.001),但随着疾病的进展会相对增加。CRT后可检测到的残留ctDNA与明显缩短的OS(中位18.3个月 vs NR;P = 0.001)和PFS(中位7.3个月 vs 25.2个月;P <;0.001)相关。对于有残留ctDNA的患者,巩固ICI可显著提高OS(中位NR vs 14.8个月;P = 0.005)和PFS(中位13.8 vs 6.2个月;P = 0.028),但对于ctDNA清除的患者则无明显差异。动态ΔbTMB可预测预后。残留ctDNA和∆bTMB增加(∆bTMB > 0)的患者的OS(中位9.0个月 vs 23.0个月 vs NR;P <;0.001)和PFS(中位3.4个月 vs 7.3个月 vs 25.2个月;P <;0.001)明显较差。将 CT 后 ctDNA 与 ∆bTMB 整合在一起的组合模型对 OS(C 指数 = 0.723)和 PFS(C 指数 = 0.693)具有最佳预测效果,优于单个特征。在独立验证集中,我们证实残留 ctDNA 预测的 PFS 较差(中位 50.8 个月 vs 14.3 个月;P = 0.026),但识别出了更巩固的 ICI 益处(中位 NR vs 8.3 个月;P = 0.039)。结论将定性残留ctDNA检测与定量ΔbTMB动态分析相结合的多参数检测方法改善了患者预后风险分层和疗效预测,可用于LA-NSCLC的个性化巩固治疗。
{"title":"Dynamic bTMB combined with residual ctDNA improves survival prediction in locally advanced NSCLC patients with chemoradiotherapy and consolidation immunotherapy","authors":"Yu Wang , Wenqing Wang , Tao Zhang , Yin Yang , Jianyang Wang , Canjun Li , Xin Xu , Yuqi Wu , Ying Jiang , Jinghao Duan , Luhua Wang , Nan Bi","doi":"10.1016/j.jncc.2024.01.008","DOIUrl":"10.1016/j.jncc.2024.01.008","url":null,"abstract":"<div><h3>Background</h3><p>Liquid biopsy-based biomarkers, including circulating tumor DNA (ctDNA) and blood tumor mutational burden (bTMB), are recognized as promising predictors of prognoses and responses to immune checkpoint inhibitors (ICIs), despite insufficient sensitivity of single biomarker detection. This research aims to determine whether the combinatorial utility of longitudinal ctDNA with bTMB analysis could improve the prognostic and predictive effects.</p></div><div><h3>Methods</h3><p>This prospective two-center cohort trial, consisting of discovery and validation datasets, enrolled unresectable locally advanced non-small-cell lung cancer (LA-NSCLC) patients and assigned them to chemoradiotherapy (CRT) or CRT + consolidation ICI cohorts from 2018 to 2022. Blood specimens were collected pretreatment, 4 weeks post-CRT, and at progression to assess bTMB and ctDNA using 486-gene next-generation sequencing. Dynamic ∆bTMB was calculated as post-CRT bTMB minus baseline bTMB levels. Decision curve analyses were performed to calculate Concordance index (C-index).</p></div><div><h3>Results</h3><p>One hundred twenty-eight patients were enrolled. In the discovery dataset (<em>n</em> = 73), patients treated with CRT and consolidation ICI had significantly longer overall survival (OS; median not reached [NR] vs 20.2 months; <em>P</em> < 0.001) and progression-free survival (PFS; median 25.2 vs 11.4 months; <em>P</em> = 0.011) than those without ICI. Longitudinal analysis demonstrated a significant decrease in ctDNA abundance post-CRT (<em>P</em> < 0.001) but a relative increase with disease progression. Post-CRT detectable residual ctDNA correlated with significantly shorter OS (median 18.3 months vs NR; <em>P</em> = 0.001) and PFS (median 7.3 vs 25.2 months; <em>P</em> < 0.001). For patients with residual ctDNA, consolidation ICI brought significantly greater OS (median NR vs 14.8 months; <em>P</em> = 0.005) and PFS (median 13.8 vs 6.2 months; <em>P</em> = 0.028) benefit, but no significant difference for patients with ctDNA clearance. Dynamic ∆bTMB was predictive of prognosis. Patients with residual ctDNA and increased ∆bTMB (∆bTMB > 0) had significantly worse OS (median 9.0 vs 23.0 months vs NR; <em>P</em> < 0.001) and PFS (median 3.4 vs 7.3 vs 25.2 months; <em>P</em> < 0.001). The combinatorial model integrating post-CRT ctDNA with ∆bTMB had optimal predictive effects on OS (C-index = 0.723) and PFS (C-index = 0.693), outperforming individual features. In the independent validation set, we confirmed residual ctDNA predicted poorer PFS (median 50.8 vs 14.3 months; <em>P</em> = 0.026) but identified more consolidation ICI benefit (median NR vs 8.3 months; <em>P</em> = 0.039). The combined model exhibited a stable predictive advantage (C-index = 0.742 for PFS).</p></div><div><h3>Conclusions</h3><p>The multiparameter assay integrating qualitative residual ctDNA testing with quantitative ∆bTMB dynamics improves patient prognostic","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 2","pages":"Pages 177-187"},"PeriodicalIF":7.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667005424000218/pdfft?md5=949feb9359945cd4e35bb2c25ed9dbe8&pid=1-s2.0-S2667005424000218-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140771120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01Epub Date: 2023-12-18DOI: 10.1016/j.jncc.2023.12.001
Breast Cancer Expert Committee of National Quality Control Center for Cancer;, Breast Cancer Expert Committee of China Anti-Cancer Association;, Cancer Drug Clinical Research Committee of China Anti-Cancer Association
Breast cancer is the most common cancer among women worldwide. It has been estimated that about 416 000 new cases and over 117 000 deaths of breast cancer occurred in China in 2020. Among the new cases of breast cancer diagnosed each year, 3–10% have distant metastasis at the time of initial diagnosis. In addition, approximately 30% of patients with early-stage breast cancer may eventually experience recurrence or metastases. The 5-year survival rate of patients with advanced breast cancer is only 20% with a median overall survival of 2–3 years. Although advanced breast cancer remains incurable at present, new therapeutic options and multidisciplinary treatment could be utilized to alleviate symptoms, improve quality of life, and prolong patients’ survival. The choice of treatment regimens for patients with advanced breast cancer is very important, and the optimal treatment strategy beyond the first- and second-line therapy is often lacking. Herein, the China Advanced Breast Cancer Guideline Panel discussed and summarized recent clinical evidence, updated the guidelines for the diagnosis and treatment of advanced breast cancer based on the 2020 edition, and formulated the “Guidelines for diagnosis and treatment of advanced breast cancer in China (2022 edition)” for clinicians' reference.
{"title":"Guidelines for diagnosis and treatment of advanced breast cancer in China (2022 edition)","authors":"Breast Cancer Expert Committee of National Quality Control Center for Cancer;, Breast Cancer Expert Committee of China Anti-Cancer Association;, Cancer Drug Clinical Research Committee of China Anti-Cancer Association","doi":"10.1016/j.jncc.2023.12.001","DOIUrl":"10.1016/j.jncc.2023.12.001","url":null,"abstract":"<div><p>Breast cancer is the most common cancer among women worldwide. It has been estimated that about 416 000 new cases and over 117 000 deaths of breast cancer occurred in China in 2020. Among the new cases of breast cancer diagnosed each year, 3–10% have distant metastasis at the time of initial diagnosis. In addition, approximately 30% of patients with early-stage breast cancer may eventually experience recurrence or metastases. The 5-year survival rate of patients with advanced breast cancer is only 20% with a median overall survival of 2–3 years. Although advanced breast cancer remains incurable at present, new therapeutic options and multidisciplinary treatment could be utilized to alleviate symptoms, improve quality of life, and prolong patients’ survival. The choice of treatment regimens for patients with advanced breast cancer is very important, and the optimal treatment strategy beyond the first- and second-line therapy is often lacking. Herein, the China Advanced Breast Cancer Guideline Panel discussed and summarized recent clinical evidence, updated the guidelines for the diagnosis and treatment of advanced breast cancer based on the 2020 edition, and formulated the “Guidelines for diagnosis and treatment of advanced breast cancer in China (2022 edition)” for clinicians' reference.</p></div>","PeriodicalId":73987,"journal":{"name":"Journal of the National Cancer Center","volume":"4 2","pages":"Pages 107-127"},"PeriodicalIF":7.6,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667005423000832/pdfft?md5=93a405cc18585713cb1f485c4d294200&pid=1-s2.0-S2667005423000832-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139014771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}