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Published in: Cancer Cell International 1/2021

Open Access 01-12-2021 | Primary research

Gene expression profiling for the diagnosis of multiple primary malignant tumors

Authors: Yu Zheng, Yifeng Sun, Yue Kuai, Guoxiang Fu, Huimin An, Jinyun Chen, Jinying Chen, Jiajun Zhu, Yixin Wo, Yiwang Wu, Kaibin Song, Qinghua Xu, Di Wu, Deshuang Huang, Qifeng Wang, Hongming Pan

Published in: Cancer Cell International | Issue 1/2021

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Abstract

Background

The incidence of multiple primary malignant tumors (MPMTs) is rising due to the development of screening technologies, significant treatment advances and increased aging of the population. For patients with a prior cancer history, identifying the tumor origin of the second malignant lesion has important prognostic and therapeutic implications and still represents a difficult problem in clinical practice.

Methods

In this study, we evaluated the performance of a 90-gene expression assay and explored its potential diagnostic utility for MPMTs across a broad spectrum of tumor types. Thirty-five MPMT patients from Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University and Fudan University Shanghai Cancer Center were enrolled; 73 MPMT specimens met all quality control criteria and were analyzed by the 90-gene expression assay.

Results

For each clinical specimen, the tumor type predicted by the 90-gene expression assay was compared with its pathological diagnosis, with an overall accuracy of 93.2% (68 of 73, 95% confidence interval 0.84–0.97). For histopathological subgroup analysis, the 90-gene expression assay achieved an overall accuracy of 95.0% (38 of 40; 95% CI 0.82–0.99) for well-moderately differentiated tumors and 92.0% (23 of 25; 95% CI 0.82–0.99) for poorly or undifferentiated tumors, with no statistically significant difference (p-value > 0.5). For squamous cell carcinoma specimens, the overall accuracy of gene expression assay also reached 87.5% (7 of 8; 95% CI 0.47–0.99) for identifying the tumor origins.

Conclusions

The 90-gene expression assay provides flexibility and accuracy in identifying the tumor origin of MPMTs. Future incorporation of the 90-gene expression assay in pathological diagnosis will assist oncologists in applying precise treatments, leading to improved care and outcomes for MPMT patients.
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Literature
1.
go back to reference Morton LM, Onel K, Curtis RE, Hungate EA, Armstrong GT. The rising incidence of second cancers: patterns of occurrence and identification of risk factors for children and adults. Am Soc Clin Oncol Educ Book. 2014;34:e57-67.CrossRef Morton LM, Onel K, Curtis RE, Hungate EA, Armstrong GT. The rising incidence of second cancers: patterns of occurrence and identification of risk factors for children and adults. Am Soc Clin Oncol Educ Book. 2014;34:e57-67.CrossRef
2.
go back to reference Vogt A, Schmid S, Heinimann K, Frick H, Herrmann C, Cerny T, Omlin A. Multiple primary tumours: challenges and approaches, a review. ESMO Open. 2017;2:e000172.CrossRef Vogt A, Schmid S, Heinimann K, Frick H, Herrmann C, Cerny T, Omlin A. Multiple primary tumours: challenges and approaches, a review. ESMO Open. 2017;2:e000172.CrossRef
3.
go back to reference Liu Z, Liu C, Guo W, Li S, Bai O. Clinical analysis of 152 cases of multiple primary malignant tumors in 15,398 patients with malignant tumors. PLoS ONE. 2015;10:e0125754.CrossRef Liu Z, Liu C, Guo W, Li S, Bai O. Clinical analysis of 152 cases of multiple primary malignant tumors in 15,398 patients with malignant tumors. PLoS ONE. 2015;10:e0125754.CrossRef
4.
go back to reference Zhai C, Cai Y, Lou F, Liu Z, Xie J, Zhou X, Wang Z, Fang Y, Pan H, Han W. Multiple primary malignant tumors - a clinical analysis of 15,321 patients with malignancies at a Single Center in China. J Cancer. 2018;9:2795–801.CrossRef Zhai C, Cai Y, Lou F, Liu Z, Xie J, Zhou X, Wang Z, Fang Y, Pan H, Han W. Multiple primary malignant tumors - a clinical analysis of 15,321 patients with malignancies at a Single Center in China. J Cancer. 2018;9:2795–801.CrossRef
5.
go back to reference Donin N, Filson C, Drakaki A, Tan HJ, Castillo A, Kwan L, Litwin M, Chamie K. Risk of second primary malignancies among cancer survivors in the United States, 1992 through 2008. Cancer. 2016;122:3075–86.CrossRef Donin N, Filson C, Drakaki A, Tan HJ, Castillo A, Kwan L, Litwin M, Chamie K. Risk of second primary malignancies among cancer survivors in the United States, 1992 through 2008. Cancer. 2016;122:3075–86.CrossRef
6.
go back to reference Irelli A, Sirufo MM, D’Ugo C, Ginaldi L, De Martinis M. Sex and gender influences on cancer immunotherapy response. Biomedicines. 2020;8:232–323.CrossRef Irelli A, Sirufo MM, D’Ugo C, Ginaldi L, De Martinis M. Sex and gender influences on cancer immunotherapy response. Biomedicines. 2020;8:232–323.CrossRef
7.
go back to reference Weiss LM, Chu P, Schroeder BE, Singh V, Zhang Y, Erlander MG, Schnabel CA. Blinded comparator study of immunohistochemical analysis versus a 92-gene cancer classifier in the diagnosis of the primary site in metastatic tumors. J Mol Diagn. 2013;15:263–9.CrossRef Weiss LM, Chu P, Schroeder BE, Singh V, Zhang Y, Erlander MG, Schnabel CA. Blinded comparator study of immunohistochemical analysis versus a 92-gene cancer classifier in the diagnosis of the primary site in metastatic tumors. J Mol Diagn. 2013;15:263–9.CrossRef
8.
go back to reference Lal A, Panos R, Marjanovic M, Walker M, Fuentes E, Kapp DS, Henner WD, Buturovic LJ, Halks-Miller M. A Gene expression profile test for the differential diagnosis of ovarian versus endometrial cancers. Oncotarget. 2012;3:212–23.CrossRef Lal A, Panos R, Marjanovic M, Walker M, Fuentes E, Kapp DS, Henner WD, Buturovic LJ, Halks-Miller M. A Gene expression profile test for the differential diagnosis of ovarian versus endometrial cancers. Oncotarget. 2012;3:212–23.CrossRef
9.
go back to reference Lal A, Panos R, Marjanovic M, Walker M, Fuentes E, Kubicek GJ, Henner WD, Buturovic LJ, Halks-Miller M. A gene expression profile test to resolve head & neck squamous versus lung squamous cancers. Diagn Pathol. 2013;8:1–11.CrossRef Lal A, Panos R, Marjanovic M, Walker M, Fuentes E, Kubicek GJ, Henner WD, Buturovic LJ, Halks-Miller M. A gene expression profile test to resolve head & neck squamous versus lung squamous cancers. Diagn Pathol. 2013;8:1–11.CrossRef
10.
go back to reference Ye Q, Wang Q, Qi P, Chen J, Ren W, Symposium MXW, 2018. Development and validation of a 90-gene real-time PCR assay for tumor origin identification. Ye Q, Wang Q, Qi P, Chen J, Ren W, Symposium MXW, 2018. Development and validation of a 90-gene real-time PCR assay for tumor origin identification.
11.
go back to reference Wang Q, Xu M, Sun Y, Chen J, Chen C, Qian C, Chen Y, Cao L, Xu Q, Du X, Yang W. Gene expression profiling for diagnosis of triple-negative breast cancer: a multicenter retrospective cohort study. Front Oncol. 2019;9:115.CrossRef Wang Q, Xu M, Sun Y, Chen J, Chen C, Qian C, Chen Y, Cao L, Xu Q, Du X, Yang W. Gene expression profiling for diagnosis of triple-negative breast cancer: a multicenter retrospective cohort study. Front Oncol. 2019;9:115.CrossRef
12.
go back to reference Zheng Y, Ding Y, Wang Q, Sun Y, Teng X, Gao Q, Zhong W, Lou X, Xiao C, Chen C, Xu Q, Xu N. 90-gene signature assay for tissue origin diagnosis of brain metastases. J Transl Med. 2019;17:1–9. Zheng Y, Ding Y, Wang Q, Sun Y, Teng X, Gao Q, Zhong W, Lou X, Xiao C, Chen C, Xu Q, Xu N. 90-gene signature assay for tissue origin diagnosis of brain metastases. J Transl Med. 2019;17:1–9.
14.
go back to reference Warren S. Multiple primary malignant tumors. A survey of the literature and a statistical study. Am J Cancer. 1932;16:1358–414. Warren S. Multiple primary malignant tumors. A survey of the literature and a statistical study. Am J Cancer. 1932;16:1358–414.
15.
go back to reference Wang Q, Gan H, Chen C, Sun Y, Chen J, Xu M, Weng W, Cao L, Xu Q, Wang J. Identification and validation of a 44-gene expression signature for the classification of renal cell carcinomas. J Exp Clin Cancer Res. 2017;36:176.CrossRef Wang Q, Gan H, Chen C, Sun Y, Chen J, Xu M, Weng W, Cao L, Xu Q, Wang J. Identification and validation of a 44-gene expression signature for the classification of renal cell carcinomas. J Exp Clin Cancer Res. 2017;36:176.CrossRef
16.
go back to reference Ihaka R, Gentleman R. R: a language for data analysis and graphics. arXiv. 1996;5:299–314. Ihaka R, Gentleman R. R: a language for data analysis and graphics. arXiv. 1996;5:299–314.
17.
go back to reference Reimers M, Carey VJ. Bioconductor: an open source framework for bioinformatics and computational biology. Meth Enzymol. 2006;411:119–34.CrossRef Reimers M, Carey VJ. Bioconductor: an open source framework for bioinformatics and computational biology. Meth Enzymol. 2006;411:119–34.CrossRef
18.
go back to reference Chang C-C, Lin C-J. LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol TIST. 2011;2:27. Chang C-C, Lin C-J. LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol TIST. 2011;2:27.
19.
go back to reference Xu Q, Chen J, Ni S, Tan C, Xu M, Dong L, Yuan L, Wang Q, Du X. Pan-cancer transcriptome analysis reveals a gene expression signature for the identification of tumor tissue origin. Mod Pathol. 2016;29:546–56.CrossRef Xu Q, Chen J, Ni S, Tan C, Xu M, Dong L, Yuan L, Wang Q, Du X. Pan-cancer transcriptome analysis reveals a gene expression signature for the identification of tumor tissue origin. Mod Pathol. 2016;29:546–56.CrossRef
20.
go back to reference Anderson GG, Weiss LM. Determining tissue of origin for metastatic cancers: meta-analysis and literature review of immunohistochemistry performance. Appl Immunohistochem Mol Morphol. 2010;18:3–8.CrossRef Anderson GG, Weiss LM. Determining tissue of origin for metastatic cancers: meta-analysis and literature review of immunohistochemistry performance. Appl Immunohistochem Mol Morphol. 2010;18:3–8.CrossRef
21.
go back to reference Handorf CR, Kulkarni A, Grenert JP, Weiss LM, Rogers WM, Kim OS, Monzon FA, Halks-Miller M, Anderson GG, Walker MG, Pillai R, Henner WD. A multicenter study directly comparing the diagnostic accuracy of gene expression profiling and immunohistochemistry for primary site identification in metastatic tumors. Am J Surg Pathol. 2013;37:1067–75.CrossRef Handorf CR, Kulkarni A, Grenert JP, Weiss LM, Rogers WM, Kim OS, Monzon FA, Halks-Miller M, Anderson GG, Walker MG, Pillai R, Henner WD. A multicenter study directly comparing the diagnostic accuracy of gene expression profiling and immunohistochemistry for primary site identification in metastatic tumors. Am J Surg Pathol. 2013;37:1067–75.CrossRef
Metadata
Title
Gene expression profiling for the diagnosis of multiple primary malignant tumors
Authors
Yu Zheng
Yifeng Sun
Yue Kuai
Guoxiang Fu
Huimin An
Jinyun Chen
Jinying Chen
Jiajun Zhu
Yixin Wo
Yiwang Wu
Kaibin Song
Qinghua Xu
Di Wu
Deshuang Huang
Qifeng Wang
Hongming Pan
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Cancer Cell International / Issue 1/2021
Electronic ISSN: 1475-2867
DOI
https://doi.org/10.1186/s12935-021-01748-8

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