Skip to main content
Top
Published in: BMC Cancer 1/2018

Open Access 01-12-2018 | Research article

Signaling protein signature predicts clinical outcome of non-small-cell lung cancer

Authors: Bao-Feng Jin, Fan Yang, Xiao-Min Ying, Lin Gong, Shuo-Feng Hu, Qing Zhao, Yi-Da Liao, Ke-Zhong Chen, Teng Li, Yan-Hong Tai, Yuan Cao, Xiao Li, Yan Huang, Xiao-Yan Zhan, Xuan-He Qin, Jin Wu, Shuai Chen, Sai-Sai Guo, Yu-Cheng Zhang, Jing Chen, Dan-Hua Shen, Kun-Kun Sun, Lu Chen, Wei-Hua Li, Ai-Ling Li, Na Wang, Qing Xia, Jun Wang, Tao Zhou

Published in: BMC Cancer | Issue 1/2018

Login to get access

Abstract

Background

Non-small-cell lung cancer (NSCLC) is characterized by abnormalities of numerous signaling proteins that play pivotal roles in cancer development and progression. Many of these proteins have been reported to be correlated with clinical outcomes of NSCLC. However, none of them could provide adequate accuracy of prognosis prediction in clinical application.

Methods

A total of 384 resected NSCLC specimens from two hospitals in Beijing (BJ) and Chongqing (CQ) were collected. Using immunohistochemistry (IHC) staining on stored formalin-fixed paraffin-embedded (FFPE) surgical samples, we examined the expression levels of 75 critical proteins on BJ samples. Random forest algorithm (RFA) and support vector machines (SVM) computation were applied to identify protein signatures on 2/3 randomly assigned BJ samples. The identified signatures were tested on the remaining BJ samples, and were further validated with CQ independent cohort.

Results

A 6-protein signature for adenocarcinoma (ADC) and a 5-protein signature for squamous cell carcinoma (SCC) were identified from training sets and tested in testing sets. In independent validation with CQ cohort, patients can also be divided into high- and low-risk groups with significantly different median overall survivals by Kaplan-Meier analysis, both in ADC (31 months vs. 87 months, HR 2.81; P <  0.001) and SCC patients (27 months vs. not reached, HR 9.97; P <  0.001). Cox regression analysis showed that both signatures are independent prognostic indicators and outperformed TNM staging (ADC: adjusted HR 3.07 vs. 2.43, SCC: adjusted HR 7.84 vs. 2.24). Particularly, we found that only the ADC patients in high-risk group significantly benefited from adjuvant chemotherapy (P = 0.018).

Conclusions

Both ADC and SCC protein signatures could effectively stratify the prognosis of NSCLC patients, and may support patient selection for adjuvant chemotherapy.
Appendix
Available only for authorised users
Literature
1.
go back to reference Schiller JH, Gandara DR, Goss GD, Vokes EE. Non-small-cell lung cancer: then and now. J Clin Oncol. 2013;31:981–3.CrossRefPubMed Schiller JH, Gandara DR, Goss GD, Vokes EE. Non-small-cell lung cancer: then and now. J Clin Oncol. 2013;31:981–3.CrossRefPubMed
2.
go back to reference Campbell JD, Alexandrov A, Kim J, Wala J, Berger AH, Pedamallu CS, et al. Distinct patterns of somatic genome alterations in lung adenocarcinomas and squamous cell carcinomas. Nat Genet. 2016;48:607–16.CrossRefPubMedPubMedCentral Campbell JD, Alexandrov A, Kim J, Wala J, Berger AH, Pedamallu CS, et al. Distinct patterns of somatic genome alterations in lung adenocarcinomas and squamous cell carcinomas. Nat Genet. 2016;48:607–16.CrossRefPubMedPubMedCentral
3.
4.
go back to reference Rusch VW, Crowley J, Giroux DJ, Goldstraw P, Im J-G, Tsuboi M, et al. The IASLC lung cancer staging project: proposals for the revision of the N descriptors in the forthcoming seventh edition of the TNM classification for lung cancer. J Thorac Oncol. 2007;2:603–12.CrossRefPubMed Rusch VW, Crowley J, Giroux DJ, Goldstraw P, Im J-G, Tsuboi M, et al. The IASLC lung cancer staging project: proposals for the revision of the N descriptors in the forthcoming seventh edition of the TNM classification for lung cancer. J Thorac Oncol. 2007;2:603–12.CrossRefPubMed
5.
go back to reference Crosbie PAJ, Shah R, Summers Y, Dive C, Blackhall F. Prognostic and predictive biomarkers in early stage NSCLC: CTCs and serum/plasma markers. Transl Lung Cancer Res. 2013;2:382–97.PubMedPubMedCentral Crosbie PAJ, Shah R, Summers Y, Dive C, Blackhall F. Prognostic and predictive biomarkers in early stage NSCLC: CTCs and serum/plasma markers. Transl Lung Cancer Res. 2013;2:382–97.PubMedPubMedCentral
6.
go back to reference Rusch VW, Asamura H, Watanabe H, Giroux DJ, Rami-Porta R, Goldstraw P, et al. The IASLC lung cancer staging project: a proposal for a new international lymph node map in the forthcoming seventh edition of the TNM classification for lung cancer. J Thorac Oncol. 2009;4:568–77.CrossRefPubMed Rusch VW, Asamura H, Watanabe H, Giroux DJ, Rami-Porta R, Goldstraw P, et al. The IASLC lung cancer staging project: a proposal for a new international lymph node map in the forthcoming seventh edition of the TNM classification for lung cancer. J Thorac Oncol. 2009;4:568–77.CrossRefPubMed
7.
go back to reference Yanagisawa K, Tomida S, Shimada Y, Yatabe Y, Mitsudomi T, Takahashi T. A 25-signal proteomic signature and outcome for patients with resected non-small-cell lung cancer. J Natl Cancer Inst. 2007;99:858–67.CrossRefPubMed Yanagisawa K, Tomida S, Shimada Y, Yatabe Y, Mitsudomi T, Takahashi T. A 25-signal proteomic signature and outcome for patients with resected non-small-cell lung cancer. J Natl Cancer Inst. 2007;99:858–67.CrossRefPubMed
8.
go back to reference Lu Y, Lemon W, Liu P-Y, Yi Y, Morrison C, Yang P, et al. A gene expression signature predicts survival of patients with stage I non-small cell lung cancer. PLoS Med. 2006;3:e467.CrossRefPubMedPubMedCentral Lu Y, Lemon W, Liu P-Y, Yi Y, Morrison C, Yang P, et al. A gene expression signature predicts survival of patients with stage I non-small cell lung cancer. PLoS Med. 2006;3:e467.CrossRefPubMedPubMedCentral
9.
go back to reference Raz DJ, Ray MR, Kim JY, He B, Taron M, Skrzypski M, et al. A multigene assay is prognostic of survival in patients with early-stage lung adenocarcinoma. Clin Cancer Res. 2008;14:5565–70.CrossRefPubMed Raz DJ, Ray MR, Kim JY, He B, Taron M, Skrzypski M, et al. A multigene assay is prognostic of survival in patients with early-stage lung adenocarcinoma. Clin Cancer Res. 2008;14:5565–70.CrossRefPubMed
10.
go back to reference Roepman P, Jassem J, Smit EF, Muley T, Niklinski J, van de Velde T, et al. An immune response enriched 72-gene prognostic profile for early-stage non-small-cell lung cancer. Clin Cancer Res. 2009;15:284–90.CrossRefPubMed Roepman P, Jassem J, Smit EF, Muley T, Niklinski J, van de Velde T, et al. An immune response enriched 72-gene prognostic profile for early-stage non-small-cell lung cancer. Clin Cancer Res. 2009;15:284–90.CrossRefPubMed
11.
go back to reference Beer DG, Kardia SLR, Huang C-C, Giordano TJ, Levin AM, Misek DE, et al. Gene-expression profiles predict survival of patients with lung adenocarcinoma. Nat Med. 2002;8:816–24.CrossRefPubMed Beer DG, Kardia SLR, Huang C-C, Giordano TJ, Levin AM, Misek DE, et al. Gene-expression profiles predict survival of patients with lung adenocarcinoma. Nat Med. 2002;8:816–24.CrossRefPubMed
12.
go back to reference Yu S-L, Chen H-Y, Chang G-C, Chen C-Y, Chen H-W, Singh S, et al. MicroRNA signature predicts survival and relapse in lung cancer. Cancer Cell. 2008;13:48–57.CrossRefPubMed Yu S-L, Chen H-Y, Chang G-C, Chen C-Y, Chen H-W, Singh S, et al. MicroRNA signature predicts survival and relapse in lung cancer. Cancer Cell. 2008;13:48–57.CrossRefPubMed
13.
14.
go back to reference Kratz JR, He J, Van Den Eeden SK, Zhu Z-H, Gao W, Pham PT, et al. A practical molecular assay to predict survival in resected non-squamous, non-small-cell lung cancer: development and international validation studies. Lancet Lond Engl. 2012;379:823–32.CrossRef Kratz JR, He J, Van Den Eeden SK, Zhu Z-H, Gao W, Pham PT, et al. A practical molecular assay to predict survival in resected non-squamous, non-small-cell lung cancer: development and international validation studies. Lancet Lond Engl. 2012;379:823–32.CrossRef
15.
go back to reference Zhu Z-H, Sun B-Y, Ma Y, Shao J-Y, Long H, Zhang X, et al. Three immunomarker support vector machines-based prognostic classifiers for stage IB non-small-cell lung cancer. J Clin Oncol. 2009;27:1091–9.CrossRefPubMed Zhu Z-H, Sun B-Y, Ma Y, Shao J-Y, Long H, Zhang X, et al. Three immunomarker support vector machines-based prognostic classifiers for stage IB non-small-cell lung cancer. J Clin Oncol. 2009;27:1091–9.CrossRefPubMed
16.
go back to reference Director’s Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma, Shedden K, JMG T, Enkemann SA, Tsao M-S, Yeatman TJ, et al. Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study. Nat Med. 2008;14:822–7.CrossRef Director’s Challenge Consortium for the Molecular Classification of Lung Adenocarcinoma, Shedden K, JMG T, Enkemann SA, Tsao M-S, Yeatman TJ, et al. Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study. Nat Med. 2008;14:822–7.CrossRef
17.
go back to reference Boutros PC, Lau SK, Pintilie M, Liu N, Shepherd FA, Der SD, et al. Prognostic gene signatures for non-small-cell lung cancer. Proc Natl Acad Sci U S A. 2009;106:2824–8.CrossRefPubMedPubMedCentral Boutros PC, Lau SK, Pintilie M, Liu N, Shepherd FA, Der SD, et al. Prognostic gene signatures for non-small-cell lung cancer. Proc Natl Acad Sci U S A. 2009;106:2824–8.CrossRefPubMedPubMedCentral
18.
go back to reference Chen H-Y, Yu S-L, Chen C-H, Chang G-C, Chen C-Y, Yuan A, et al. A five-gene signature and clinical outcome in non-small-cell lung cancer. N Engl J Med. 2007;356:11–20.CrossRefPubMed Chen H-Y, Yu S-L, Chen C-H, Chang G-C, Chen C-Y, Yuan A, et al. A five-gene signature and clinical outcome in non-small-cell lung cancer. N Engl J Med. 2007;356:11–20.CrossRefPubMed
19.
go back to reference Zhu C-Q, Ding K, Strumpf D, Weir BA, Meyerson M, Pennell N, et al. Prognostic and predictive gene signature for adjuvant chemotherapy in resected non-small-cell lung cancer. J Clin Oncol. 2010;28:4417–24.CrossRefPubMedPubMedCentral Zhu C-Q, Ding K, Strumpf D, Weir BA, Meyerson M, Pennell N, et al. Prognostic and predictive gene signature for adjuvant chemotherapy in resected non-small-cell lung cancer. J Clin Oncol. 2010;28:4417–24.CrossRefPubMedPubMedCentral
21.
go back to reference Stella GM, Luisetti M, Pozzi E, Comoglio PM. Oncogenes in non-small-cell lung cancer: emerging connections and novel therapeutic dynamics. Lancet Respir Med. 2013;1:251–61.CrossRefPubMed Stella GM, Luisetti M, Pozzi E, Comoglio PM. Oncogenes in non-small-cell lung cancer: emerging connections and novel therapeutic dynamics. Lancet Respir Med. 2013;1:251–61.CrossRefPubMed
22.
go back to reference Berger AH, Brooks AN, Wu X, Shrestha Y, Chouinard C, Piccioni F, et al. High-throughput phenotyping of lung cancer somatic mutations. Cancer Cell. 2016;30:214–28.CrossRefPubMedPubMedCentral Berger AH, Brooks AN, Wu X, Shrestha Y, Chouinard C, Piccioni F, et al. High-throughput phenotyping of lung cancer somatic mutations. Cancer Cell. 2016;30:214–28.CrossRefPubMedPubMedCentral
23.
go back to reference Zhang B, Zheng A, Hydbring P, Ambroise G, Ouchida AT, Goiny M, et al. PHGDH defines a metabolic subtype in lung adenocarcinomas with poor prognosis. Cell Rep. 2017;19:2289–303.CrossRefPubMed Zhang B, Zheng A, Hydbring P, Ambroise G, Ouchida AT, Goiny M, et al. PHGDH defines a metabolic subtype in lung adenocarcinomas with poor prognosis. Cell Rep. 2017;19:2289–303.CrossRefPubMed
24.
go back to reference Kim J, Hu Z, Cai L, Li K, Choi E, Faubert B, et al. CPS1 maintains pyrimidine pools and DNA synthesis in KRAS/LKB1-mutant lung cancer cells. Nature. 2017;546:168–72.CrossRefPubMedPubMedCentral Kim J, Hu Z, Cai L, Li K, Choi E, Faubert B, et al. CPS1 maintains pyrimidine pools and DNA synthesis in KRAS/LKB1-mutant lung cancer cells. Nature. 2017;546:168–72.CrossRefPubMedPubMedCentral
26.
go back to reference Pan X, Zhou T, Tai Y-H, Wang C, Zhao J, Cao Y, et al. Elevated expression of CUEDC2 protein confers endocrine resistance in breast cancer. Nat Med. 2011;17:708–14.CrossRefPubMed Pan X, Zhou T, Tai Y-H, Wang C, Zhao J, Cao Y, et al. Elevated expression of CUEDC2 protein confers endocrine resistance in breast cancer. Nat Med. 2011;17:708–14.CrossRefPubMed
27.
go back to reference Gao Y-F, Li T, Chang Y, Wang Y-B, Zhang W-N, Li W-H, et al. Cdk1-phosphorylated CUEDC2 promotes spindle checkpoint inactivation and chromosomal instability. Nat Cell Biol. 2011;13:924–33.CrossRefPubMed Gao Y-F, Li T, Chang Y, Wang Y-B, Zhang W-N, Li W-H, et al. Cdk1-phosphorylated CUEDC2 promotes spindle checkpoint inactivation and chromosomal instability. Nat Cell Biol. 2011;13:924–33.CrossRefPubMed
28.
go back to reference Zhang P-J, Zhao J, Li H-Y, Man J-H, He K, Zhou T, et al. CUE domain containing 2 regulates degradation of progesterone receptor by ubiquitin-proteasome. EMBO J. 2007;26:1831–42.CrossRefPubMedPubMedCentral Zhang P-J, Zhao J, Li H-Y, Man J-H, He K, Zhou T, et al. CUE domain containing 2 regulates degradation of progesterone receptor by ubiquitin-proteasome. EMBO J. 2007;26:1831–42.CrossRefPubMedPubMedCentral
29.
go back to reference Chen Y, Wang S-X, Mu R, Luo X, Liu Z-S, Liang B, et al. Dysregulation of the miR-324-5p-CUEDC2 axis leads to macrophage dysfunction and is associated with colon cancer. Cell Rep. 2014;7:1982–93.CrossRefPubMed Chen Y, Wang S-X, Mu R, Luo X, Liu Z-S, Liang B, et al. Dysregulation of the miR-324-5p-CUEDC2 axis leads to macrophage dysfunction and is associated with colon cancer. Cell Rep. 2014;7:1982–93.CrossRefPubMed
30.
go back to reference Gustavson MD, Rimm DL, Dolled-Filhart M. Tissue microarrays: leaping the gap between research and clinical adoption. Pers Med. 2013;10:441–51.CrossRef Gustavson MD, Rimm DL, Dolled-Filhart M. Tissue microarrays: leaping the gap between research and clinical adoption. Pers Med. 2013;10:441–51.CrossRef
31.
go back to reference Zlobec I, Koelzer VH, Dawson H, Perren A, Lugli A. Next-generation tissue microarray (ngTMA) increases the quality of biomarker studies: an example using CD3, CD8, and CD45RO in the tumor microenvironment of six different solid tumor types. J Transl Med. 2013;11:104.CrossRefPubMedPubMedCentral Zlobec I, Koelzer VH, Dawson H, Perren A, Lugli A. Next-generation tissue microarray (ngTMA) increases the quality of biomarker studies: an example using CD3, CD8, and CD45RO in the tumor microenvironment of six different solid tumor types. J Transl Med. 2013;11:104.CrossRefPubMedPubMedCentral
32.
go back to reference McCarty KS, Miller LS, Cox EB, Konrath J, McCarty KS. Estrogen receptor analyses. Correlation of biochemical and immunohistochemical methods using monoclonal antireceptor antibodies. Arch. Pathol. Lab. Med. 1985;109:716–21. McCarty KS, Miller LS, Cox EB, Konrath J, McCarty KS. Estrogen receptor analyses. Correlation of biochemical and immunohistochemical methods using monoclonal antireceptor antibodies. Arch. Pathol. Lab. Med. 1985;109:716–21.
34.
go back to reference Diaz-Uriarte R. GeneSrF and varSelRF: a web-based tool and R package for gene selection and classification using random forest. BMC Bioinformatics. 2007;8:328.CrossRefPubMedPubMedCentral Diaz-Uriarte R. GeneSrF and varSelRF: a web-based tool and R package for gene selection and classification using random forest. BMC Bioinformatics. 2007;8:328.CrossRefPubMedPubMedCentral
35.
go back to reference Liaw A, Wiener M. Classification and regression by RandomForest. R News. 2001;2(3):18–22. Liaw A, Wiener M. Classification and regression by RandomForest. R News. 2001;2(3):18–22.
36.
go back to reference Chang C-C, Lin C-J. LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol. 2011;2(27):1–27.CrossRef Chang C-C, Lin C-J. LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol. 2011;2(27):1–27.CrossRef
37.
go back to reference Pisters KMW, Evans WK, Azzoli CG, Kris MG, Smith CA, Desch CE, et al. Cancer Care Ontario and American Society of Clinical Oncology adjuvant chemotherapy and adjuvant radiation therapy for stages I-IIIA resectable non small-cell lung cancer guideline. J Clin Oncol. 2007;25:5506–18.CrossRefPubMed Pisters KMW, Evans WK, Azzoli CG, Kris MG, Smith CA, Desch CE, et al. Cancer Care Ontario and American Society of Clinical Oncology adjuvant chemotherapy and adjuvant radiation therapy for stages I-IIIA resectable non small-cell lung cancer guideline. J Clin Oncol. 2007;25:5506–18.CrossRefPubMed
38.
go back to reference Dediu M. Adjuvant chemotherapy in stage IB NSCLC: implication of the new TNM staging system. Memo - mag. Eur. Med. Oncologia. 2011;4:16–8. Dediu M. Adjuvant chemotherapy in stage IB NSCLC: implication of the new TNM staging system. Memo - mag. Eur. Med. Oncologia. 2011;4:16–8.
39.
go back to reference Morgensztern D, Du L, Waqar SN, Patel A, Samson P, Devarakonda S, et al. Adjuvant chemotherapy for patients with T2N0M0 NSCLC. J Thorac Oncol. 2016;11:1729–35.CrossRefPubMedPubMedCentral Morgensztern D, Du L, Waqar SN, Patel A, Samson P, Devarakonda S, et al. Adjuvant chemotherapy for patients with T2N0M0 NSCLC. J Thorac Oncol. 2016;11:1729–35.CrossRefPubMedPubMedCentral
40.
go back to reference Pignon J-P, Tribodet H, Scagliotti GV, Douillard J-Y, Shepherd FA, Stephens RJ, et al. Lung adjuvant cisplatin evaluation: a pooled analysis by the LACE collaborative group. J Clin Oncol. 2008;26:3552–9.CrossRefPubMed Pignon J-P, Tribodet H, Scagliotti GV, Douillard J-Y, Shepherd FA, Stephens RJ, et al. Lung adjuvant cisplatin evaluation: a pooled analysis by the LACE collaborative group. J Clin Oncol. 2008;26:3552–9.CrossRefPubMed
41.
42.
go back to reference Jacquemier J, Ginestier C, Rougemont J, Bardou V-J, Charafe-Jauffret E, Geneix J, et al. Protein expression profiling identifies subclasses of breast cancer and predicts prognosis. Cancer Res. 2005;65:767–79.PubMed Jacquemier J, Ginestier C, Rougemont J, Bardou V-J, Charafe-Jauffret E, Geneix J, et al. Protein expression profiling identifies subclasses of breast cancer and predicts prognosis. Cancer Res. 2005;65:767–79.PubMed
43.
go back to reference Zhu C-Q, Shih W, Ling C-H, Tsao M-S. Immunohistochemical markers of prognosis in non-small cell lung cancer: a review and proposal for a multiphase approach to marker evaluation. J Clin Pathol. 2006;59:790–800.CrossRefPubMedPubMedCentral Zhu C-Q, Shih W, Ling C-H, Tsao M-S. Immunohistochemical markers of prognosis in non-small cell lung cancer: a review and proposal for a multiphase approach to marker evaluation. J Clin Pathol. 2006;59:790–800.CrossRefPubMedPubMedCentral
44.
go back to reference Krämer A, Mailand N, Lukas C, Syljuåsen RG, Wilkinson CJ, Nigg EA, et al. Centrosome-associated Chk1 prevents premature activation of cyclin-B-Cdk1 kinase. Nat Cell Biol. 2004;6:884–91.CrossRefPubMed Krämer A, Mailand N, Lukas C, Syljuåsen RG, Wilkinson CJ, Nigg EA, et al. Centrosome-associated Chk1 prevents premature activation of cyclin-B-Cdk1 kinase. Nat Cell Biol. 2004;6:884–91.CrossRefPubMed
45.
go back to reference Liao Y-J, Bai H-Y, Li Z-H, Zou J, Chen J-W, Zheng F, et al. Longikaurin a, a natural ent-kaurane, induces G2/M phase arrest via downregulation of Skp2 and apoptosis induction through ROS/JNK/c-Jun pathway in hepatocellular carcinoma cells. Cell Death Dis. 2014;5:e1137.CrossRefPubMedPubMedCentral Liao Y-J, Bai H-Y, Li Z-H, Zou J, Chen J-W, Zheng F, et al. Longikaurin a, a natural ent-kaurane, induces G2/M phase arrest via downregulation of Skp2 and apoptosis induction through ROS/JNK/c-Jun pathway in hepatocellular carcinoma cells. Cell Death Dis. 2014;5:e1137.CrossRefPubMedPubMedCentral
46.
go back to reference Wang Y, Shenouda S, Baranwal S, Rathinam R, Jain P, Bao L, et al. Integrin subunits alpha5 and alpha6 regulate cell cycle by modulating the chk1 and Rb/E2F pathways to affect breast cancer metastasis. Mol Cancer. 2011;10:84.CrossRefPubMedPubMedCentral Wang Y, Shenouda S, Baranwal S, Rathinam R, Jain P, Bao L, et al. Integrin subunits alpha5 and alpha6 regulate cell cycle by modulating the chk1 and Rb/E2F pathways to affect breast cancer metastasis. Mol Cancer. 2011;10:84.CrossRefPubMedPubMedCentral
Metadata
Title
Signaling protein signature predicts clinical outcome of non-small-cell lung cancer
Authors
Bao-Feng Jin
Fan Yang
Xiao-Min Ying
Lin Gong
Shuo-Feng Hu
Qing Zhao
Yi-Da Liao
Ke-Zhong Chen
Teng Li
Yan-Hong Tai
Yuan Cao
Xiao Li
Yan Huang
Xiao-Yan Zhan
Xuan-He Qin
Jin Wu
Shuai Chen
Sai-Sai Guo
Yu-Cheng Zhang
Jing Chen
Dan-Hua Shen
Kun-Kun Sun
Lu Chen
Wei-Hua Li
Ai-Ling Li
Na Wang
Qing Xia
Jun Wang
Tao Zhou
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2018
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-018-4104-4

Other articles of this Issue 1/2018

BMC Cancer 1/2018 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine