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MicroRNA evaluation of unknown primary lesions in the head and neck

MicroRNA evaluation of unknown primary lesions in the head and neck
MicroRNA evaluation of unknown primary lesions in the head and neck
Unknown primary malignancy in the head and neck is not an infrequent diagnosis for patients with metastatic cervical lymph nodes. Although linked with a relatively good prognosis following radiation treatment, widespread radiation is coupled with significant morbidity. Altered microRNA(miRNA) expression has been associated with both cancer progression and metastasis. We sought to determine whether miRNA expression analysis could be used as a diagnostic tool to discover the primary site of malignancy, within the head and neck. We used quantitative real-time PCR to identify miRNA expression profiles of squamous cell carcinoma of the tonsil, base of tongue and post-nasal space, as well as their corresponding metastatic lymph nodes, from 6 patients. Our results revealed that each cancer maintained its expression profile between the primary site and the nodal metastasis (r = 0.82, p < 0.0001). In addition, each anatomical sub-site maintained a distinct miRNA profile between individual patients (r = 0.79, p < 0.0001). Finally, between sub-sites,the miRNA profiles were distinct (p < 0.0001). As proof of principle, our study provides an indication that miRNA expression analysis may be useful to compare the primary lesion and local metastatic disease. This may be clinically relevant to predict the primary site of origin of metastatic disease, when the primary site remains obscure.
127-[8pp]
Barker, Emma V.
d85e0e8f-7295-4912-9052-646a790d99db
Cervigne, Nilva K.
8ddd2845-fe62-49aa-ac81-2b82e5e1c8ad
Reis, Patricia P.
d2405eab-8273-4fb4-8bb3-44ad13ed8fd7
Goswami, Rashmi S.
f27224b7-70bd-444c-a2df-9095d6a804d8
Xu, Wei
cef87ede-4edd-4bde-a9f8-a4c63e18c418
Weinreib, Ilan
fda641a4-6f63-4503-9a45-81eebbdbb140
Irish, Jonathan C.
7350af02-856b-41fe-a3ba-aff389fd63dd
Kamel-Reid, Suzanne
0455fd94-2c7c-4317-ad75-da5cbcffc933
Barker, Emma V.
d85e0e8f-7295-4912-9052-646a790d99db
Cervigne, Nilva K.
8ddd2845-fe62-49aa-ac81-2b82e5e1c8ad
Reis, Patricia P.
d2405eab-8273-4fb4-8bb3-44ad13ed8fd7
Goswami, Rashmi S.
f27224b7-70bd-444c-a2df-9095d6a804d8
Xu, Wei
cef87ede-4edd-4bde-a9f8-a4c63e18c418
Weinreib, Ilan
fda641a4-6f63-4503-9a45-81eebbdbb140
Irish, Jonathan C.
7350af02-856b-41fe-a3ba-aff389fd63dd
Kamel-Reid, Suzanne
0455fd94-2c7c-4317-ad75-da5cbcffc933

Barker, Emma V., Cervigne, Nilva K., Reis, Patricia P., Goswami, Rashmi S., Xu, Wei, Weinreib, Ilan, Irish, Jonathan C. and Kamel-Reid, Suzanne (2009) MicroRNA evaluation of unknown primary lesions in the head and neck. Molecular Cancer, 8, 127-[8pp]. (doi:10.1186/1476-4598-8-127). (PMID:20028561)

Record type: Article

Abstract

Unknown primary malignancy in the head and neck is not an infrequent diagnosis for patients with metastatic cervical lymph nodes. Although linked with a relatively good prognosis following radiation treatment, widespread radiation is coupled with significant morbidity. Altered microRNA(miRNA) expression has been associated with both cancer progression and metastasis. We sought to determine whether miRNA expression analysis could be used as a diagnostic tool to discover the primary site of malignancy, within the head and neck. We used quantitative real-time PCR to identify miRNA expression profiles of squamous cell carcinoma of the tonsil, base of tongue and post-nasal space, as well as their corresponding metastatic lymph nodes, from 6 patients. Our results revealed that each cancer maintained its expression profile between the primary site and the nodal metastasis (r = 0.82, p < 0.0001). In addition, each anatomical sub-site maintained a distinct miRNA profile between individual patients (r = 0.79, p < 0.0001). Finally, between sub-sites,the miRNA profiles were distinct (p < 0.0001). As proof of principle, our study provides an indication that miRNA expression analysis may be useful to compare the primary lesion and local metastatic disease. This may be clinically relevant to predict the primary site of origin of metastatic disease, when the primary site remains obscure.

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Published date: 23 December 2009

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Local EPrints ID: 180017
URI: https://eprints.soton.ac.uk/id/eprint/180017
PURE UUID: bb4c6fc6-ad18-4792-b660-f406251505f6

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Date deposited: 06 Apr 2011 13:53
Last modified: 16 Jul 2019 23:43

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Contributors

Author: Emma V. Barker
Author: Nilva K. Cervigne
Author: Patricia P. Reis
Author: Rashmi S. Goswami
Author: Wei Xu
Author: Ilan Weinreib
Author: Jonathan C. Irish
Author: Suzanne Kamel-Reid

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