High-throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype-specific serologically relevant biomarkers

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High-throughput proteomics of breast cancer interstitial fluid : identification of tumor subtype-specific serologically relevant biomarkers. / Terkelsen, Thilde; Pernemalm, Maria; Gromov, Pavel; Borresen-Dale, Anna-Lise; Krogh, Anders; Haakensen, Vilde D.; Lethio, Janne; Papaleo, Elena; Gromova, Irina.

I: Molecular Oncology, Bind 15, Nr. 2, 2021, s. 429-461.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Terkelsen, T, Pernemalm, M, Gromov, P, Borresen-Dale, A-L, Krogh, A, Haakensen, VD, Lethio, J, Papaleo, E & Gromova, I 2021, 'High-throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype-specific serologically relevant biomarkers', Molecular Oncology, bind 15, nr. 2, s. 429-461. https://doi.org/10.1002/1878-0261.12850

APA

Terkelsen, T., Pernemalm, M., Gromov, P., Borresen-Dale, A-L., Krogh, A., Haakensen, V. D., Lethio, J., Papaleo, E., & Gromova, I. (2021). High-throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype-specific serologically relevant biomarkers. Molecular Oncology, 15(2), 429-461. https://doi.org/10.1002/1878-0261.12850

Vancouver

Terkelsen T, Pernemalm M, Gromov P, Borresen-Dale A-L, Krogh A, Haakensen VD o.a. High-throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype-specific serologically relevant biomarkers. Molecular Oncology. 2021;15(2):429-461. https://doi.org/10.1002/1878-0261.12850

Author

Terkelsen, Thilde ; Pernemalm, Maria ; Gromov, Pavel ; Borresen-Dale, Anna-Lise ; Krogh, Anders ; Haakensen, Vilde D. ; Lethio, Janne ; Papaleo, Elena ; Gromova, Irina. / High-throughput proteomics of breast cancer interstitial fluid : identification of tumor subtype-specific serologically relevant biomarkers. I: Molecular Oncology. 2021 ; Bind 15, Nr. 2. s. 429-461.

Bibtex

@article{87d416fc0e7a40d5973bd05d6c663cb1,
title = "High-throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype-specific serologically relevant biomarkers",
abstract = "Despite significant advancements in breast cancer (BC) research, clinicians lack robust serological protein markers for accurate diagnostics and tumor stratification. Tumor interstitial fluid (TIF) accumulates aberrantly externalized proteins within the local tumor space, which can potentially gain access to the circulatory system. As such, TIF may represent a valuable starting point for identifying relevant tumor-specific serological biomarkers. The aim of the study was to perform comprehensive proteomic profiling of TIF to identify proteins associated with BC tumor status and subtype. A liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of 35 TIFs of three main subtypes: luminal (19), Her2 (4), and triple-negative (TNBC) (12) resulted in the identification of > 8800 proteins. Unsupervised hierarchical clustering segregated the TIF proteome into two major clusters, luminal and TNBC/Her2 subgroups. High-grade tumors enriched with tumor infiltrating lymphocytes (TILs) were also stratified from low-grade tumors. A consensus analysis approach, including differential abundance analysis, selection operator regression, and random forest returned a minimal set of 24 proteins associated with BC subtypes, receptor status, and TIL scoring. Among them, a panel of 10 proteins, AGR3, BCAM, CELSR1, MIEN1, NAT1, PIP4K2B, SEC23B, THTPA, TMEM51, and ULBP2, was found to stratify the tumor subtype-specific TIFs. In particular, upregulation of BCAM and CELSR1 differentiates luminal subtypes, while upregulation of MIEN1 differentiates Her2 subtypes. Immunohistochemistry analysis showed a direct correlation between protein abundance in TIFs and intratumor expression levels for all 10 proteins. Sensitivity and specificity were estimated for this protein panel by using an independent, comprehensive breast tumor proteome dataset. The results of this analysis strongly support our data, with eight of the proteins potentially representing biomarkers for stratification of BC subtypes. Five of the most representative proteomics databases currently available were also used to estimate the potential for these selected proteins to serve as putative serological markers.",
keywords = "breast cancer, interstitial fluid, proteome, serological markers, subtype, tumor infiltrating lymphocytes, CELL-ADHESION MOLECULE, ESTROGEN-RECEPTOR-ALPHA, CARCINOMA IN-SITU, DUCTAL CARCINOMA, NKG2D LIGANDS, MATRIX METALLOPROTEINASES, HEPATOCELLULAR-CARCINOMA, DIFFERENTIAL EXPRESSION, MASS-SPECTROMETRY, PATIENT SURVIVAL",
author = "Thilde Terkelsen and Maria Pernemalm and Pavel Gromov and Anna-Lise Borresen-Dale and Anders Krogh and Haakensen, {Vilde D.} and Janne Lethio and Elena Papaleo and Irina Gromova",
year = "2021",
doi = "10.1002/1878-0261.12850",
language = "English",
volume = "15",
pages = "429--461",
journal = "Molecular Oncology",
issn = "1574-7891",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - High-throughput proteomics of breast cancer interstitial fluid

T2 - identification of tumor subtype-specific serologically relevant biomarkers

AU - Terkelsen, Thilde

AU - Pernemalm, Maria

AU - Gromov, Pavel

AU - Borresen-Dale, Anna-Lise

AU - Krogh, Anders

AU - Haakensen, Vilde D.

AU - Lethio, Janne

AU - Papaleo, Elena

AU - Gromova, Irina

PY - 2021

Y1 - 2021

N2 - Despite significant advancements in breast cancer (BC) research, clinicians lack robust serological protein markers for accurate diagnostics and tumor stratification. Tumor interstitial fluid (TIF) accumulates aberrantly externalized proteins within the local tumor space, which can potentially gain access to the circulatory system. As such, TIF may represent a valuable starting point for identifying relevant tumor-specific serological biomarkers. The aim of the study was to perform comprehensive proteomic profiling of TIF to identify proteins associated with BC tumor status and subtype. A liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of 35 TIFs of three main subtypes: luminal (19), Her2 (4), and triple-negative (TNBC) (12) resulted in the identification of > 8800 proteins. Unsupervised hierarchical clustering segregated the TIF proteome into two major clusters, luminal and TNBC/Her2 subgroups. High-grade tumors enriched with tumor infiltrating lymphocytes (TILs) were also stratified from low-grade tumors. A consensus analysis approach, including differential abundance analysis, selection operator regression, and random forest returned a minimal set of 24 proteins associated with BC subtypes, receptor status, and TIL scoring. Among them, a panel of 10 proteins, AGR3, BCAM, CELSR1, MIEN1, NAT1, PIP4K2B, SEC23B, THTPA, TMEM51, and ULBP2, was found to stratify the tumor subtype-specific TIFs. In particular, upregulation of BCAM and CELSR1 differentiates luminal subtypes, while upregulation of MIEN1 differentiates Her2 subtypes. Immunohistochemistry analysis showed a direct correlation between protein abundance in TIFs and intratumor expression levels for all 10 proteins. Sensitivity and specificity were estimated for this protein panel by using an independent, comprehensive breast tumor proteome dataset. The results of this analysis strongly support our data, with eight of the proteins potentially representing biomarkers for stratification of BC subtypes. Five of the most representative proteomics databases currently available were also used to estimate the potential for these selected proteins to serve as putative serological markers.

AB - Despite significant advancements in breast cancer (BC) research, clinicians lack robust serological protein markers for accurate diagnostics and tumor stratification. Tumor interstitial fluid (TIF) accumulates aberrantly externalized proteins within the local tumor space, which can potentially gain access to the circulatory system. As such, TIF may represent a valuable starting point for identifying relevant tumor-specific serological biomarkers. The aim of the study was to perform comprehensive proteomic profiling of TIF to identify proteins associated with BC tumor status and subtype. A liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of 35 TIFs of three main subtypes: luminal (19), Her2 (4), and triple-negative (TNBC) (12) resulted in the identification of > 8800 proteins. Unsupervised hierarchical clustering segregated the TIF proteome into two major clusters, luminal and TNBC/Her2 subgroups. High-grade tumors enriched with tumor infiltrating lymphocytes (TILs) were also stratified from low-grade tumors. A consensus analysis approach, including differential abundance analysis, selection operator regression, and random forest returned a minimal set of 24 proteins associated with BC subtypes, receptor status, and TIL scoring. Among them, a panel of 10 proteins, AGR3, BCAM, CELSR1, MIEN1, NAT1, PIP4K2B, SEC23B, THTPA, TMEM51, and ULBP2, was found to stratify the tumor subtype-specific TIFs. In particular, upregulation of BCAM and CELSR1 differentiates luminal subtypes, while upregulation of MIEN1 differentiates Her2 subtypes. Immunohistochemistry analysis showed a direct correlation between protein abundance in TIFs and intratumor expression levels for all 10 proteins. Sensitivity and specificity were estimated for this protein panel by using an independent, comprehensive breast tumor proteome dataset. The results of this analysis strongly support our data, with eight of the proteins potentially representing biomarkers for stratification of BC subtypes. Five of the most representative proteomics databases currently available were also used to estimate the potential for these selected proteins to serve as putative serological markers.

KW - breast cancer

KW - interstitial fluid

KW - proteome

KW - serological markers

KW - subtype

KW - tumor infiltrating lymphocytes

KW - CELL-ADHESION MOLECULE

KW - ESTROGEN-RECEPTOR-ALPHA

KW - CARCINOMA IN-SITU

KW - DUCTAL CARCINOMA

KW - NKG2D LIGANDS

KW - MATRIX METALLOPROTEINASES

KW - HEPATOCELLULAR-CARCINOMA

KW - DIFFERENTIAL EXPRESSION

KW - MASS-SPECTROMETRY

KW - PATIENT SURVIVAL

U2 - 10.1002/1878-0261.12850

DO - 10.1002/1878-0261.12850

M3 - Journal article

C2 - 33176066

VL - 15

SP - 429

EP - 461

JO - Molecular Oncology

JF - Molecular Oncology

SN - 1574-7891

IS - 2

ER -

ID: 255460408