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Original Article
- A Randomized, Open-Label, Phase II Study Comparing Pemetrexed Plus Cisplatin Followed by Maintenance Pemetrexed versus Pemetrexed Alone in Patients with Epidermal Growth Factor Receptor (EGFR)-Mutant Non-small Cell Lung Cancer after Failure of First-Line EGFR Tyrosine Kinase Inhibitor: KCSG-LU12-13
- Kwai Han Yoo, Su Jin Lee, Jinhyun Cho, Ki Hyeong Lee, Keon Uk Park, Ki Hwan Kim, Eun Kyung Cho, Yoon Hee Choi, Hye Ryun Kim, Hoon-Gu Kim, Heui June Ahn, Ha Yeon Lee, Hwan Jung Yun, Jin-Hyoung Kang, Jaeheon Jeong, Moon Young Choi, Sin-Ho Jung, Jong-Mu Sun, Se-Hoon Lee, Jin Seok Ahn, Keunchil Park, Myung-Ju Ahn
- Cancer Res Treat. 2019;51(2):718-726. Published online September 3, 2018
- DOI: https://doi.org/10.4143/crt.2018.324
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Abstract
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ePub - Purpose
The optimal cytotoxic regimens have not been established for patients with non-small cell lung cancer (NSCLC) who develop disease progression on first-line epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI).
Materials and Methods
We conducted a multi-center randomized phase II trial to compare the clinical outcomes between pemetrexed plus cisplatin combination therapy followed by maintenance pemetrexed (PC) and pemetrexed monotherapy (P) after failure of first-line EGFR-TKI. The primary objective was progression-free survival (PFS), and secondary objectives included overall response rate (ORR), overall survival (OS), health-related quality of life (HRQOL), and safety and toxicity profiles.
Results
A total of 96 patientswere randomized, and 91 patientswere treated at 14 centers in Korea. The ORR was 34.8% (16/46) for the PC arm and 17.8% (8/45) for the P arm (p=0.066). With 23.4 months of follow-up, the median PFS was 5.4 months in the PC arm and 6.4 months in the P arm (p=0.114). The median OS was 17.9 months and 15.7 months in PC and P arms, respectively (p=0.787). Adverse events ≥ grade 3 were reported in 12 patients (26.1%) in the PC arm and nine patients (20.0%) in the P arm (p=0.491). The overall time trends of HRQOL were not significantly different between the two arms.
Conclusion
The outcomes of pemetrexed therapy in NSCLC patients with disease progression after firstline EGFR-TKI might not be improved by adding cisplatin. -
Citations
Citations to this article as recorded by
- The Survival and Financial Benefit of Investigator-Initiated Trials Conducted by Korean Cancer Study Group
Bum Jun Kim, Chi Hoon Maeng, Bhumsuk Keam, Young-Hyuck Im, Jungsil Ro, Kyung Hae Jung, Seock-Ah Im, Tae Won Kim, Jae Lyun Lee, Dae Seog Heo, Sang-We Kim, Keunchil Park, Myung-Ju Ahn, Byoung Chul Cho, Hoon-Kyo Kim, Yoon-Koo Kang, Jae Yong Cho, Hwan Jung Yu
Cancer Research and Treatment.2025; 57(1): 39. CrossRef - A randomised non-comparative phase II study of atezolizumab, bevacizumab and chemotherapy in EGFR-mutant NSCLC with acquired resistance – The ETOP 15-19 ABC-lung trial
R.A. Soo, K. Vervita, M. Früh, B.C. Cho, M. Majem, D. Rodriguez Abreu, K. Ribi, A. Callejo, T. Moran, M. Domine Gomez, M. Provencio, A. Addeo, J.Y. Han, A.L. Ortega Granados, M. Reck, A. Blasco, R. Garcia Campelo, M.A. Sala González, C. Britschgi, H. Rosc
Lung Cancer.2025; 202: 108454. CrossRef -
Osimertinib with Chemotherapy in
EGFR
-Mutated NSCLC
New England Journal of Medicine.2024; 390(5): 478. CrossRef - Real-world outcomes on platinum-containing chemotherapy for EGFR-mutated advanced nonsquamous NSCLC with prior exposure to EGFR tyrosine kinase inhibitors
Balazs Halmos, Pragya Rai, Jae Min, Xiaohan Hu, Diana Chirovsky, Mark Shamoun, Bin Zhao
Frontiers in Oncology.2024;[Epub] CrossRef - Clinical efficacy and safety of pemetrexed with or without either Bevacizumab or Pembrolizumab in patients with metastatic nonsquamous non–small cell carcinoma
Wang Chun Kwok, Tan Fong Cheong, Ka Yan Chiang, James Chung Man Ho, David Chi Leung Lam, Mary Sau Man Ip, Terence Chi Chun Tam
Asia-Pacific Journal of Clinical Oncology.2023; 19(1): 87. CrossRef - Factors associated with outcomes of second-line treatment for EGFR-mutant non-small-cell lung cancer patients after progression on first- or second-generation EGFR-tyrosine kinase inhibitor treatment
Cheng-Yu Chang, Chung-Yu Chen, Shih-Chieh Chang, Ching-Yi Chen, Yi-Chun Lai, Chun-Fu Chang, Yu-Feng Wei
Frontiers in Oncology.2023;[Epub] CrossRef - Association of Quality-of-Life Outcomes in Cancer Drug Trials With Survival Outcomes and Drug Class
Joseph N. Samuel, Christopher M. Booth, Elizabeth Eisenhauer, Michael Brundage, Scott R. Berry, Bishal Gyawali
JAMA Oncology.2022; 8(6): 879. CrossRef - Drug resistance mechanisms and progress in the treatment of EGFR‑mutated lung adenocarcinoma (Review)
Ruizhu Sun, Zhansheng Hou, Yankui Zhang, Bo Jiang
Oncology Letters.2022;[Epub] CrossRef - Haematological toxicity of pemetrexed in patients with metastatic non-squamous non-small cell carcinoma of lung with third-space fluid
Wang Chun Kwok, Tan Fong Cheong, Ka Yan Chiang, James Chung Man Ho, David Chi Leung Lam, Mary Sau Man Ip, Terence Chi Chun Tam
Lung Cancer.2021; 152: 15. CrossRef - Exploring the role of epidermal growth factor receptor variant III in meningeal tumors
Rashmi Rana, Vaishnavi Rathi, Kirti Chauhan, Kriti Jain, Satnam Singh Chhabra, Rajesh Acharya, Samir Kumar Kalra, Anshul Gupta, Sunila Jain, Nirmal Kumar Ganguly, Dharmendra Kumar Yadav, Timir Tripathi
PLOS ONE.2021; 16(9): e0255133. CrossRef - Risk factors of nephrotoxicity of maintenance pemetrexed in patients with metastatic non-squamous non-small cell carcinoma of lung
Wang Chun Kwok, Ka Yan Chiang, James Chung Man Ho, David Chi Leung Lam, Mary Sau Man Ip, Terence Chi Chun Tam
Lung Cancer.2021; 162: 169. CrossRef - Impact of Value Frameworks on the Magnitude of Clinical Benefit: Evaluating a Decade of Randomized Trials for Systemic Therapy in Solid Malignancies
Ellen Cusano, Chelsea Wong, Eddy Taguedong, Marcus Vaska, Tasnima Abedin, Nancy Nixon, Safiya Karim, Patricia Tang, Daniel Y. C. Heng, Doreen Ezeife
Current Oncology.2021; 28(6): 4894. CrossRef - Real world experience on maintenance chemotherapy with gemcitabine in second line setting for advanced non-small cell lung carcinoma
Wang Chun Kwok, David Chi Leung Lam, Ka Yan Chiang, James Chung Man Ho, Mary Sau Man Ip, Terence Chi Chun Tam
Journal of Chemotherapy.2020; 32(8): 429. CrossRef
- The Survival and Financial Benefit of Investigator-Initiated Trials Conducted by Korean Cancer Study Group
- 10,492 View
- 352 Download
- 15 Web of Science
- 13 Crossref
Case Report
- A Locally Advanced Breast Cancer with Difficult Differential Diagnosis of Carcinosarcoma and Atypical Medullary Carcinoma, which had Poor Response to Adriamycin- and Taxane-based Neoadjuvant Chemotherapy: A Case Report
- Se Hyun Kim, Hyun Cheol Chung, Jaeheon Jeong, Ji Hoon Kim, Sun Young Rha, Joong Bae Ahn, Nam Hoon Cho, Hei-Cheul Jeung
- Cancer Res Treat. 2007;39(3):134-137. Published online September 30, 2007
- DOI: https://doi.org/10.4143/crt.2007.39.3.134
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Abstract
PDFPubReaderePub
Atypical medullary carcinomas and carcinosarcoma have unique histopathological features. Here we present a case with a breast malignancy that had pathological characteristics of both. A 54-year old patient with a malignant breast mass received 6 cycles of adriamycin-based chemotherapy, followed by 3 cycles of paclitaxel monotherapy, and had a poor clinical response to treatment. A modified radical mastectomy was performed. The pathological diagnosis was complicated by an inability to distinguish between atypical medullary carcinoma and carcinosarcoma. The findings included a tumor that was well-circumscribed, high grade and a syncytial growth pattern as well as biphasic sarcomatous and carcinomatous characteristics. In conclusion, atypical medullary carcinoma and carcinosarcoma of the breast have entirely different prognoses and should be managed differently. Both should be treated by surgical resection, and additional therapy should be considered based on the cancer with the poorer prognosis.
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Citations
Citations to this article as recorded by- Carcinosarcoma of the breast: Facing the challenge of a rare nosologic entity
Aikaterini Mastoraki, Maria Tsamopoulou, Foivos-Konstantinos Stamatis, Alexios Strimpakos, Ero Mouchtouri, Christiana Panagi, Evgenia Mela, Sotiria Mastoraki, Aristotelis Kechagias, Dimitrios Schizas
World Journal of Clinical Cases.2025;[Epub] CrossRef - A Rare Case of Primary Carcinosarcoma of the Breast
Maria Kiakou, Maria Tolia, Nektarios Koufopoulos, Konstantinos Tsapakidis, Eleni Arvanitou, Gkikas Konstantinos, Nikolaos Charalambakis, Michalis Nikolaou, Dimitrios Matthaios, Nikolaos Tsoukalas
Forum of Clinical Oncology.2022; 13(1): 48. CrossRef - Carcinosarcoma (Metaplastic Carcinoma) Breast: A Rare and Aggressive Primary – Report of Two Cases with Review of Literature
Gunjesh Kumar Singh, Pragya Singh, KT Bhowmik
Indian Journal of Medical and Paediatric Oncology.2018; 39(03): 400. CrossRef - Carcinosarcoma of the Breast: An Aggressive Subtype of Metaplastic Cancer. Report of a Rare Case in a Young BRCA-1 Mutated Woman
Matteo Ghilli, Donatella M. Mariniello, Giovanni Fanelli, Francesca Cascione, Andrea Fontana, Agostino Cristaudo, Anna Cilotti, Adelaide M. Caligo, Giampiero Manca, Livio Colizzi, Antonio G. Naccarato, Manuela Roncella
Clinical Breast Cancer.2017; 17(1): e31. CrossRef
- Carcinosarcoma of the breast: Facing the challenge of a rare nosologic entity
- 9,760 View
- 70 Download
- 4 Crossref
Original Article
- An Attempt for Combining Microarray Data Sets by Adjusting Gene Expressions
- Ki-Yeol Kim, Se Hyun Kim, Dong Hyuk Ki, Jaeheon Jeong, Ha Jin Jeong, Hei-Cheul Jeung, Hyun Cheol Chung, Sun Young Rha
- Cancer Res Treat. 2007;39(2):74-81. Published online June 30, 2007
- DOI: https://doi.org/10.4143/crt.2007.39.2.74
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Abstract
PDFPubReaderePub
Purpose The diverse experimental environments in microarray technology, such as the different platforms or different RNA sources, can cause biases in the analysis of multiple microarrays. These systematic effects present a substantial obstacle for the analysis of microarray data, and the resulting information may be inconsistent and unreliable. Therefore, we introduced a simple integration method for combining microaray data sets that are derived from different experimental conditions, and we expected that more reliable information can be detected from the combined data set rather than from the separated data sets.
Materials and Methods This method is based on the distributions of the gene expression ratios among the different microarray data sets and it transforms, gene by gene, the gene expression ratios into the form of the reference data set. The efficiency of the proposed integration method was evaluated using two microarray data sets, which were derived from different RNA sources, and a newly defined measure, the
mixture score .Results The proposed integration method intermixed the two data sets that were obtained from different RNA sources, which in turn reduced the experimental bias between the two data sets, and the
mixture score increased by 24.2%. A data set combined by the proposed method preserved the inter-group relationship of the separated data sets.Conclusion The proposed method worked well in adjusting systematic biases, including the source effect. The ability to use an effectively integrated microarray data set yields more reliable results due to the larger sample size and this also decreases the chance of false negatives.
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Citations
Citations to this article as recorded by- spatiAlign: an unsupervised contrastive learning model for data integration of spatially resolved transcriptomics
Chao Zhang, Lin Liu, Ying Zhang, Mei Li, Shuangsang Fang, Qiang Kang, Ao Chen, Xun Xu, Yong Zhang, Yuxiang Li
GigaScience.2024;[Epub] CrossRef - AMDBNorm: an approach based on distribution adjustment to eliminate batch effects of gene expression data
Xu Zhang, Zhiqiang Ye, Jing Chen, Feng Qiao
Briefings in Bioinformatics.2022;[Epub] CrossRef - reComBat: batch-effect removal in large-scale multi-source gene-expression data integration
Michael F Adamer, Sarah C Brüningk, Alejandro Tejada-Arranz, Fabienne Estermann, Marek Basler, Karsten Borgwardt, Thomas Lengauer
Bioinformatics Advances.2022;[Epub] CrossRef - Harmonization strategies for multicenter radiomics investigations
R Da-Ano, D Visvikis, M Hatt
Physics in Medicine & Biology.2020; 65(24): 24TR02. CrossRef - A Novel Statistical Method to Diagnose, Quantify and Correct Batch Effects in Genomic Studies
Gift Nyamundanda, Pawan Poudel, Yatish Patil, Anguraj Sadanandam
Scientific Reports.2017;[Epub] CrossRef - Batch effect removal methods for microarray gene expression data integration: a survey
C. Lazar, S. Meganck, J. Taminau, D. Steenhoff, A. Coletta, C. Molter, D. Y. Weiss-Solis, R. Duque, H. Bersini, A. Nowe
Briefings in Bioinformatics.2013; 14(4): 469. CrossRef - Identification of genes related to a synergistic effect of taxane and suberoylanilide hydroxamic acid combination treatment in gastric cancer cells
Hyun Chang, Sun Young Rha, Hei-Cheul Jeung, Jae-Jun Jung, Tae Soo Kim, Ho Jeong Kwon, Byung Soo Kim, Hyun Cheol Chung
Journal of Cancer Research and Clinical Oncology.2010; 136(12): 1901. CrossRef
- spatiAlign: an unsupervised contrastive learning model for data integration of spatially resolved transcriptomics
- 9,919 View
- 69 Download
- 7 Crossref
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