UPITT Cancer Gene Expression Data Set Link Database
maintained by the
University of Pittsburgh
Benedum Oncology Informatics Center
About this Resource
Datasets (72 entries)
Brain
Tumors (4 entries)
Breast
Cancer (17 entries)
Bladder
Cancer (2 entries)
Cervical
Cancer (1 entry)
Colon
Cancer (2 entries)
Esophageal
Cancer (2 entries)
Gastric
Cancer (5 entries)
Head
and Neck Cancer (1 entry)
Kidney
Cancer (5 entries)
Leukemia
(2 entries)
Liver
Cancer (7 entries)
Lymphoma
(6 entries)
Lung
Cancer (3 entries)
Melanoma
(4 entries)
Meningioma (1 entry)
Mesothelioma (1 entry)
Oral
Cancer (2 entry)
Ovarian
Cancer (4 entries)
Pancreatic Cancer (1 entry)
Prostate Cancer (6 entries)
Thyroid Cancer (1 entry)
Credits
Tue Ngyuen, Matthew Hlobilek, Satish
Patel, Soumyaroop Bhattacharya, James Lyons-Weiler
Entry 1:Khatua et. al (2003)
Overexpression of the
EGFR/FKBP12/HIF-2alpha pathway identified in childhood astrocytomas by
angiogenesis gene profiling.
Khatua S, Peterson KM, Brown KM, Lawlor C,
Santi MR, LaFleur B, Dressman D, Stephan DA, MacDonald TJ.
Cancer Res. 2003
Apr 15;63(8):1865-70.
[Pubmed]
[Fulltext]
[Dataset
Download Site]
[Group]
Entry 2:van der Boom et. al (2003)
Characterization of gene
expression profiles associated with glioma progression using
oligonucleotide-based microarray analysis and real-time reverse
transcription-polymerase chain reaction.
van den Boom J, Wolter M, Kuick
R, Misek DE, Youkilis AS, Wechsler DS, Sommer C, Reifenberger G, Hanash SM.
Am J Pathol. 2003 Sep;163(3):1033-43.
[PubMed]
[Full Text]
[Data Set Download Page]
[Group]
Entry 3
Kim
S, Dougherty ER, Shmulevich L, Hess KR, Hamilton SR, Trent JM, Fuller GN, Zhang
W. Identification of combination gene sets for glioma classification. Mol Cancer
Ther. 2002
Nov;1(13):1229-36.
[Pubmed]
[Full Text]
[Data Set Download Page]
[Group]
Entry 4.
Rickman DS, Bobek MP, Misek DE,
Kuick R, Blaivas M, Kurnit DM, Taylor J, Hanash SM. Distinctive molecular profiles of
high-grade and low-grade gliomas based on oligonucleotide microarray analysis.
Cancer Res. 2001 Sep
15;61(18):6885-91.
[Pubmed]
[Full Text]
[Data Set Download Page]
[Group]
Entry 1:Veer et. al (2002)
Gene expression profiling
predicts clinical outcome of breast cancer
van 't Veer LJ, Dai H, van de
Vijver MJ, He YD, Hart AA, Mao M, Peterse HL, van der Kooy K, Marton MJ,
Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R,
Friend SH.
Nature 2002 Jan 31;415(6871):530-6.
[Pubmed]
[Fulltext]
[Dataset Download Site]
[Group]
Entry 2:Perou et. al (2000)
Molecular portraits of human
breast tumours.
Perou CM, Sorlie T, Eisen MB et al.
Nature 406
(2000) 747-752.
[PubMed]
[Full Text]
[Data Set Download Page1]
[Data Set Download Page2]
[Group]
Entry 3:Hedenfalk et. al (2001)
Gene-expression profiles in
hereditary breast cancer.
Hedenfalk I, Duggan D, Chen Y, Radmacher M,
Bittner M, Simon R,
Meltzer P, Gusterson B, Esteller M, Kallioniemi OP,
Wilfond B, Borg A, Trent J.
N Engl J Med 2001 Feb 22;344(8):539-48
[PubMed]
[Full Text]
[Data Set Download Site]
[Project Web Site]
Entry 4:Huang et. al (2003)
Gene expression predictors of
breast cancer outcomes.
Huang E, Cheng SH, Dressman H, Pittman J, Tsou
MH, Horng CF, Bild A, Iversen ES, Liao M, Chen CM, West M, Nevins JR, Huang AT.
Lancet 2003 May 10;361(9369):1590-6.
[PubMed]
[Full Text]
[Data Set Download
Site]
Entry 5:Perou et. al (1999)
Distinctive gene expression
patterns in human mammary epithelial cells and breast cancers.
Perou CM,
Jeffrey SS, van de Rijn M, Rees CA, Eisen MB, Ross DT, Pergamenschikov A,
Williams CF, Zhu SX, Lee JC, Lashkari D, Shalon D, Brown PO, Botstein D.
Lancet Proc Natl Acad Sci USA 96,9212-7.
[PubMed]
[Full Text]
[Data Set Download Site]
Entry 6:Perou et. al (2000)
Molecular portraits of human
breast tumours.
Perou, C.M., Sorlie T., Eisen, M.B., van de Rijn M.,
Jeffrey S.S., Rees C.A., Pollack J.R., Ross D.T., Johnsen H., Akslen L.A., Fluge
O., Pergamenschikov A., Williams C., Zhu S.X., Lonning P.E., Borresen-Dale A.L.,
Brown P.O., and Botstein D.
Nature, 406, 747-752.
Type: Classification
[PubMed]
[Full Text]
[Data Set Download Site]
Entry 7:West et. al (2001)
Predicting the clinical status
of human breast cancer by using gene expression profiles.
West M,
Blanchette C, Dressman H, Huang E, Ishida S, Spang R, Zuzan H, Olson JA Jr,
Marks JR, Nevins JR.
Proc Natl Acad Sci U S A 2001 Sep 25;98(20):11462-7
[PubMed]
[Full Text]
[Data Set Download
Site]
Entry 8:Martin et. al., 2000
Linking gene expression
patterns to therapeutic groups in breast cancer.
Martin KJ, Kritzman BM,
Price LM, Koh B, Kwan CP, Zhang X, Mackay A, O'Hare MJ, Kaelin CM, Mutter GL,
Pardee AB, Sager R.
Cancer Res. 2000 Apr 15;60(8):2232-8.
[PubMed]
[Full Text]
[Data Set Download Site]
Entry 9:Berns et. al., 2000
Molecular profiles of
BRCA1-mutated and matched sporadic breast tumours: relation with
clinico-pathological features.
Berns EM, van Staveren IL, Verhoog L, van
de Ouweland AM, Meijer-van Gelder M, Meijers-Heijboer H, Portengen H, Foekens
JA, Dorssers LC, Klijn JG.
Br J Cancer. 2001 Aug 17;85(4):538-45.
[PubMed]
[Full Text]
[Data Set Download Site]
Entry 10:LaCroix et. al., 2002
A low-density DNA microarray
for analysis of markers in breast cancer.
Lacroix M, Zammatteo N, Remacle
J, Leclercq G.
Int J Biol Markers. 2002 Jan-Mar;17(1):5-23.
[PubMed]
[Full Text]
[Data Set Download Site] Data
set release pending
Entry 11:Buccholz et. al., 2002
Global gene expression changes
during neoadjuvant chemotherapy for human breast cancer.
Buchholz TA,
Stivers DN, Stec J, Ayers M, Clark E, Bolt A, Sahin AA,Symmans WF, Hess KR,
Kuerer HM, Valero V, Hortobagyi GN, Pusztai L.
Cancer J. 2002
Nov-Dec;8(6):461-8.
[PubMed]
[Full Text]
[Data Set Download Site]
Entry 12:
Porter D, Lahti-Domenici J, Keshaviah A, Bae YK, Argani P, Marks J, Richardson A, Cooper A, Strausberg R, Riggins GJ, Schnitt S, Gabrielson E, Gelman R, Polyak K. Molecular markers in ductal carcinoma in situ of the breast. Mol Cancer Res. 2003 Mar;1(5):362-75.
Type: Diagnosis
[PubMed]
[Full Text]
[Data Set Download Site]
Entry 13:
Glinsky GV, Higashiyama T, Glinskii AB. Classification of human breast cancer using gene expression profiling as a component of the survival predictor algorithm. Clin Cancer Res. 2004 Apr 1;10(7):2272-83.
Type: Survivorship
[PubMed]
[Full Text]
[Data Set Download Site]
Entry 14:
Woelfle U, Cloos J, Sauter G,
Riethdorf L, Janicke F, van Diest P, Brakenhoff R, Pantel K. Molecular signature
associated with bone marrow micrometastasis in human breast cancer. Cancer
Res. 2003 Sep
15;63(18):5679-84.
Type: Metastasis
[PubMed]
[Full Text]
[Data Set Download Site]
Entry 15.
Kang
Y, Siegel PM, Shu W, Drobnjak M, Kakonen SM, Cordon-Cardo C, Guise TA, Massague
J. A multigenic program mediating breast cancer metastasis to bone. Cancer
Cell. 2003 Jun;3(6):537-49.
Type: Metastasis
[PubMed]
[Full Text]
[Data Set Download Site]
Entry 16.
Wang
ZC, Lin M, Wei LJ, Li C, Miron A, Lodeiro G, Harris L, Ramaswamy S, Tanenbaum
DM, Meyerson M, Iglehart JD, Richardson A. Loss of heterozygosity and its
correlation with expression profiles in subclasses of invasive breast cancers.
Cancer Res. 2004 Jan
1;64(1):64-71.
Type: Metastasis
[PubMed]
[Full Text]
[Data Set Download Site]
Entry 17.
Bertucci F, Borie N, Ginestier
C, Groulet A, Charafe-Jauffret E, Adelaide J, Geneix J, Bachelart L, Finetti P,
Koki A, Hermitte F, Hassoun J, Debono S, Viens P, Fert V, Jacquemier J, Birnbaum
D. Identification and validation of an ERBB2 gene expression signature in breast
cancers. Oncogene. 2004 Apr
1;23(14):2564-75.
Type: Therapy Response
[PubMed]
[Full Text]
[Data Set Download Site]
The Breast Cancer Research Foundation - make a donation today!
Entry 1:Dyrskjot et. al (2003)
Identifying distinct classes of
bladder carcinoma using microarrays
Dyrskjot L, Thykjaer T, Kruhoffer M,
Jensen JL, Marcussen N, Hamilton-Dutoit S, Wolf H, Orntoft TF.
Nat Genet 2003
Jan;33(1):90-6
[Pubmed]
[Full text]
[Data Download Site]
[Group]
Entry 2:Nocito et. al (2001)
Microarrays of bladder cancer
tissue are highly representative of proliferation index and histological grade.
Nocito A, Bubendorf L, Maria Tinner E, Suess K, Wagner U, Forster T,
Kononen J, Fijan A, Bruderer J, Schmid U, Ackermann D, Maurer R, Alund G,
Knonagel H, Rist M, Anabitarte M, Hering F, Hardmeier T, Schoenenberger AJ,
Flury R, Jager P, Luc Fehr J, Schraml P, Moch H, Mihatsch MJ, Gasser T, Sauter
G.
J Pathol 194,349-57.
[Pubmed]
[Full text]
[Data Download Site]
Entry 1:
Wong
YF, Selvanayagam ZE, Wei N, Porter J, Vittal R, Hu R, Lin Y, Liao J, Shih JW,
Cheung TH, Lo KW, Yim SF, Yip SK, Ngong DT, Siu N, Chan LK, Chan CS, Kong T,
Kutlina E, McKinnon RD, Denhardt DT, Chin KV, Chung TK. Expression genomics of
cervical cancer: molecular classification and prediction of radiotherapy
response by DNA microarray. Clin Cancer Res. 2003 Nov 15;9(15):5486-92.
[Pubmed]
[Full text]
[Data Download Site]
Entry 1: Alon et al., 1999.
Broad patterns of gene expression
revealed by clustering analysis of tumor and normal colon tissues probed by
oligonucleotide arrays
Alon U, Barkai N, Notterman DA, Gish, K, Ybarra,
S. Mack, D and Levine, AJ.
Proc. Natl. Acad. Sci. USA. 96 (1999) 6745-6750.
[PubMed Entry]
[Fulltext]
[Data Set Download Sites (Links provided by
D. Notterman)
[Group]
Entry 2:
Wang
Y, Jatkoe T, Zhang Y, Mutch MG, Talantov D, Jiang J, McLeod HL, Atkins D. Gene
Expression Profiles and Molecular Markers To Predict Recurrence of Dukes' B
Colon Cancer. J Clin Oncol. 2004 Mar 29 [Epub ahead of print]
Type: Diagnosis.
[Pubmed]
[Fulltext]
[Data Download Site]
[Group]
Entry 1: Selaru et
al., 2002
Global gene expression profiling in Barrett's esophagus and
esophageal cancer: a comparative analysis using cDNA microarrays
Selaru
FM, Zou T, Xu Y, Shustova V, Yin J, Mori Y, Sato F, Wang S, Olaru A, Shibata D,
Greenwald BD, Krasna MJ, Abraham JM, Meltzer SJ.
Oncogene 2002 Jan
17;21(3):475-8.
[Pubmed]
[Fulltext]
[Data Download Site]
[Group]
Entry 2: Kihara et
al., 2001
Prediction of sensitivity of esophageal tumors to adjuvant
chemotherapy by cDNA microarray analysis of gene-expression profiles.
Kihara C, Tsunoda T, Tanaka T, Yamana H, Furukawa Y, Ono K, Kitahara O,
Zembutsu H, Yanagawa R, Hirata K, Takagi T, Nakamura Y.
Oncogene 2002 Jan
17;21(3):475-8.
[Pubmed]
[Fulltext]
[Data Download Site]
Entry 2. Hasegawa et. al., 2002
Genome-wide analysis of gene expression
in intestinal-type gastric cancers using a complementary DNA microarray
representing 23,040 Genes.
Hasegawa S, Furukawa Y, Li M, Satoh S, Kato
T, Watanabe T, Katagiri T, Tsunoda T, Yamaoka Y, Nakamura Y. 2002.
Cancer
Res 2002 Dec 1;62(23),7012-7017.
[PubMed Entry]
[Data Set Download Site]
[Full text]
Entry 3. Inoue et. al., 2002
Prognostic score of gastric cancer
determined by cDNA microarray.
Inoue H, Matsuyama A, Mimori K, Ueo H,
Mori M. 2002.
Clin Cancer Res 8,3475-9.
[PubMed Entry]
[Data Set Download Site]
[Full text]
Entry 5. Boussioutas et. al., 2003
Distinctive patterns of gene
expression in premalignant gastric mucosa and gastric cancer.
Boussioutas
A, Li H, Liu J, Waring P, Lade S, Holloway AJ, Taupin D, Gorringe K, Haviv I,
Desmond PV, Bowtell DD.
Cancer Res. 2003 May 15;63(10):2569-77.
[PubMed]
[Data Set Download Site]
[Full text]
Entry 6.
Boussioutas A, Li H, Liu J,
Waring P, Lade S, Holloway AJ, Taupin D, Gorringe K, Haviv I, Desmond PV,
Bowtell DD. Distinctive patterns of gene expression in premalignant gastric
mucosa and gastric cancer. Cancer Res.
2003 May 15;63(10):2569-77.
Type: Diagnosis
[PubMed]
[Data Set Download Site]
[Full text]
Entry 7.
Meireles SI, Cristo EB, Carvalho
AF, Hirata R Jr, Pelosof A, Gomes LI, Martins WK, Begnami MD, Zitron C,
Montagnini AL, Soares FA, Neves EJ, Reis LF. Molecular classifiers for gastric
cancer and nonmalignant diseases of the gastric mucosa. Cancer Res. 2004 Feb 15;64(4):1255-65.
[PubMed]
[Data Set Download Site]
[Full text]
Entry 1:
Ginos MA, Page GP, Michalowicz
BS, Patel KJ, Volker SE, Pambuccian SE, Ondrey FG, Adams GL, Gaffney PM.
Identification of a gene expression signature associated with recurrent disease
in squamous cell carcinoma of the head and neck. Cancer Res. 2004 Jan 1;64(1):55-63.
[PubMed]
[Data Set Download Site]
[Full text]
Entry 1: Boer et. al.,2001
Identification and
classification of differentially expressed genes in renal cell carcinoma
by expression profiling on a global human 31,500-element cDNA array.
Boer JM, Huber WK, Sultmann H, Wilmer F, von Heydebreck A, Haas S, Korn B,
Gunawan B, Vente A, Fuzesi L, Vingron M, Poustka A.
Genome Res. 2001
Nov;11(11):1861-70.
[Pub med]
[Full text]
[Data Download Site]
[Group]
Entry 2: Moch et. al.
High-throughput tissue microarray
analysis to evaluate genes uncovered by cDNA microarray screening in renal cell
carcinoma.
Moch H, Schraml P, Bubendorf L, Mirlacher M, Kononen J, Gasser
T, Mihatsch MJ, Kallioniemi OP, Sauter G.
Am J Pathol 154,981-6.
[Pub med]
[Full text]
[Data Download Site]
Entry 3:Yamazaki et. al. 2003
Overexpression of KIT in
chromophobe renal cell carcinoma.
Yamazaki K, Sakamoto M, Ohta T, Kanai
Y, Ohki M, Hirohashi S.
Oncogene. 2003 Feb 13;22(6):847-52.
[Pubmed]
[Full text]
[Data Download Site]
Entry 4.
Yang
XJ, Sugimura J, Tretiakova MS, Furge K, Zagaja G, Sokoloff M, Pins M, Bergan R,
Grignon DJ, Stadler WM, Vogelzang NJ, Teh BT. Gene expression profiling of renal
medullary carcinoma: potential clinical relevance. Cancer. 2004 Mar 1;100(5):976-85.
[PubMed]
[Fulltext]
[Data]
[Group]
Entry 5 : Li CM, Guo M, Borczuk
A, Powell CA, Wei M, Thaker HM, Friedman R, Klein U, Tycko B. Gene expression in
Wilms' tumor mimics the earliest committed stage in the metanephric
mesenchymal-epithelial transition. Am J Pathol. 2002 Jun;160(6):2181-90.
Type: Diagnosis
[PubMed]
[Fulltext]
[Data]
[Group]
Entry 1: Golub et al., 1999
Molecular classification of cancer:
class discovery and class prediction by gene expression monitoring
Golub
TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, Coller H, Loh ML,
Downing JR, Caligiuri MA, Bloomfield CD, Lander ES.
Science 1999
286:531-537.
[PubMed]
[Fulltext]
[Data
Set Download Site]
[Group]
Entry 2: Virtaneva et. al., 2001
Expression profiling
reveals fundamental biological differences in acute myeloid leukemia with
isolated trisomy 8 and normal cytogenetics
Virtaneva, K, Wright,
FA, Tanner, SM, Yuan, B, Lemon, WJ, Caligiuri, MA, Bloomfield, CD, A. de
la Chapelle, and R. Krahe
Proc. Natl. Acad. Sci. USA, 2001;98 1124-1129.
Paper
(PNAS)
Data
Set Download Site
Additional Sites on Leukemia
Schiller, G. High-Dose Consolidation
Chemotherapy V Bone Marrow
Transplantation as
Postremission Therapy in Adult Acute
Myeloid Leukemia.
http://www.meds.com/leukemia/trends/mon_pt2.html
Entry 1:Chung et al., 2002
Gene expression profile analysis in
human hepatocellular carcinoma by cDNA microarray.
Chung EJ, Sung YK,
Farooq M, Kim Y, Im S, Tak WY, Hwang YJ, Kim YI, Han HS, Kim JC, Kim MK.
Mol
Cells. 2002 Dec 31;14(3):382-7.
[PubMed]
[Fulltext]
[Data Set Download Site]
[Group]
Entry 2:Chen et al., 2002
Gene expression patterns in human
liver cancers.
Chen X, Cheung ST, So S, Fan ST, Barry C, Higgins J, Lai
KM, Ji J, Dudoit S, Ng IO, Van De Rijn M, Botstein D, Brown PO.
Mol Biol
Cell 13(6):1929-39.
[PubMed]
[Fulltext]
[Data Set Download Site]
[Group]
Entry 3:Li et al., 2002
Discovery and analysis of
hepatocellular carcinoma genes using cDNA microarrays.
Li Y, Li Y, Tang
R, Xu H, Qiu M, Chen Q, Chen J, Fu Z, Ying K, Xie Y, Mao Y.
J Cancer Res
Clin Oncol. 2002 Jul;128(7):369-79. Epub 2002 Jun 20.
[PubMed]
[Fulltext]
[Data Set Download Site]
[Group]
Entry 4:
Kim JW,
Ye Q, Forgues M, Chen Y, Budhu A, Sime J, Hofseth LJ, Kaul R, Wang XW.
Cancer-associated molecular signature in the tissue samples of patients with
cirrhosis. Hepatology. 2004
Feb;39(2):518-27.
[PubMed]
[Fulltext]
[Data Set Download Site]
[Group]
Entry 5:
Goldenberg D, Ayesh S, Schneider T,
Pappo O, Jurim O, Eid A, Fellig Y, Dadon T, Ariel I, de Groot N, Hochberg A,
Galun E. Analysis of differentially expressed genes in hepatocellular carcinoma
using cDNA arrays. Mol Carcinog.
2002 Feb;33(2):113-24.
[PubMed]
[Fulltext]
[Data Set Download Site]
[Group]
Chuma
M, Sakamoto M, Yamazaki K, Ohta T, Ohki M, Asaka M, Hirohashi S. Expression
profiling in multistage hepatocarcinogenesis: identification of HSP70 as a
molecular marker of early hepatocellular carcinoma. Hepatology. 2003 Jan;37(1):198-207.
[PubMed]
[Fulltext]
[Data Set Download Site]
[Group]
Ye QH,
Qin LX, Forgues M, He P, Kim JW, Peng AC, Simon R, Li Y, Robles AI, Chen Y, Ma
ZC, Wu ZQ, Ye SL, Liu YK, Tang ZY, Wang XW. Predicting hepatitis B
virus-positive metastatic hepatocellular carcinomas using gene expression
profiling and supervised machine learning. Nat Med. 2003 Apr;9(4):416-23. Epub 2003 Mar 17.
[PubMed]
[Fulltext]
[Data Set Download Site]
[Group]
Entry 1: Garber et al., 2001
Diversity of gene expression in
adenocarcinoma of the lung
Mitchell E. Garber, Olga G. Troyanskaya,
Karsten Schluens, Simone Petersen, Zsuzsanna Thaesler, Manuela
Pacyna-Gengelbach, Matt van de Rijn, Glenn D. Rosen, Charles M. Perou, Richard
I. Whyte, Russ B. Altman, Patrick O. Brown, David Botstein, and Iver
Petersen
Proc. Natl. Acad. Sci. USA, Vol. 98, Issue 24, 13784-13789,
November 20, 2001
[PubMed Entry]
[Data Set
Download Site]
[Full text]
[Group]
Entry 2: Heighway et al., 2002
Expression profiling of primary
non-small cell lung cancer for target identification.
Heighway J, Knapp
T, Boyce L, Brennand S, Field JK, Betticher DC, Ratschiller D, Gugger M, Donovan
M, Lasek A, Rickert P.
Oncogene 21,7749-63.
[PubMed Entry]
[Data Set Download Site] Propietary
Data
[Full text]
Entry 3: Virtanen et al., 2002
Integrated classification of lung
tumors and cell lines by expression profiling.
Virtanen C, Ishikawa Y,
Honjoh D, Kimura M, Shimane M, Miyoshi T, Nomura H, Jones MH.
Proc Natl Acad
Sci USA 99,12357-62.
[PubMed Entry]
[Data Set Download Site]
[Full text]
Entry 1: Alizadeh et al., 2000.
Distinct types of diffuse large
B-cell lymphoma identified by gene expression profiling
Alizadeh AA,
Eisen MB, Davis RE, et al. (2000)
Nature 403 (2000) 503-11.
[Pub Med ]
[Full
Text]
[Data set download site]
[Group:
Lymphoma/Leukemia Molecular Profiling Project]
Entry 2: Chan et al., 2001
Gene expression analysis in
aggressive NHL
Chan WC, Huang JZ.
Ann Hematol 2001;80 Suppl
3:B38-41.
[Pub med]
[Fulltext]
[Data Download Site]
Entry 3: Shipp et al., 2002
Diffuse large B-cell lymphoma
outcome prediction by gene-expression profiling and supervised machine
learning
Shipp MA, Ross KN, Tamayo P, Weng AP, Kutok JL, Aguiar RC,
Gaasenbeek M, Angelo M, Reich M, Pinkus GS, Ray TS, Koval MA, Last KW, Norton A,
Lister TA, Mesirov J, Neuberg DS, Lander ES, Aster JC, Golub TR.
Nat Med
2002 Jan;8(1):68-74.
[Pub med]
[Fulltext]
[Data Download
Site]
Entry 4: De Vos et al.,
2002
Comparison of gene expression profiling between malignant and
normal plasma cells with oligonucleotide arrays.
De Vos J, Thykjaer T, Tarte K, Ensslen M, Raynaud P, Requirand G, Pellet F, Pantesco V, Reme T, Jourdan M, Rossi JF, Orntoft T, Klein B.
Oncogene 2002 Oct
3;21(44):6848-57.
[Pub med]
[Fulltext]
[Data
Download Site]
[Group]
Entry 5: Ando et al., 2002
Fuzzy neural network applied to gene
expression profiling for predicting the prognosis of diffuse large B-cell
lymphoma.
Ando T, Suguro M, Hanai T, Kobayashi T, Honda H, Seto M.
Jpn J Cancer Res. 93,1207-12
[Pub med]
[Fulltext]
[Data Download Site]
Entry 6: Li et al., 2001
Comparative genome-scale analysis of
gene expression profiles in T cell lymphoma cells during malignant progression
using a complementary DNA microarray.
Li S, Ross DT, Kadin ME, Brown PO,
Wasik MA.
Am J Pathol 158,1231-7.
[Pub med]
[Fulltext]
[Data Download Site]
Entry 1: Bittner et al., 2000.
Molecular classification of
cutaneous malignant melanoma by gene expression profiling.
Bittner M,
Meltzer P, Chen Y, Jiang Y, Seftor E, Hendrix M, Radmacher M, Simon R, Yakhini
Z, Ben-Dor A, Sampas N, Dougherty E, Wang E, Marincola F, Gooden C, Lueders J,
Glatfelter A, Pollock P, Carpten J, Gillanders E, Leja D, Dietrich K, Beaudry C,
Berens M, Alberts D, Sondak V
Nature. 406 (2000) 536-40.
[Pub Med ]
[Data Download
Site(ftp)]
[Full Text]
[Group]
OncoLink
Entry on Melanoma
Entry 2: Yakhini et al., 2000.
Molecular classification of
cutaneous malignant melanoma by gene expression profiling.
Yakhini Z,
Ben-Dor A, Sampas N, Dougherty E, Wang E, Marincola F, Gooden C, Lueders J,
Glatfelter A, Pollock P, Carpten J, Gillanders E, Leja D, Dietrich K, Beaudry C,
Berens M, Alberts D, Sondak V.
Nature. 406,536-40.
[Pub Med ]
[Data Download Site]
[Full Text]
Entry 3: Clark et al., 2000.
Genomic analysis of metastasis
reveals an essential role for RhoC.
Clark EA, Golub TR, Lander ES, Hynes
RO.
Nature. 2000 Aug 3;406(6795):532-5.
[Pub Med ]
[Data Download Site]
[Full Text]
Entry 4: de Wit et al., 2002.
Differentially expressed genes
identified in human melanoma cell lines with different metastatic behaviour
using high density oligonucleotide arrays.
de Wit NJ, Burtscher HJ,
Weidle UH, Ruiter DJ, van Muijen GN.
Melanoma Res. 2002 Feb;12(1):57-69.
[Pub
Med]
[Data Download Site]
[Full Text]
Entry 1: Watson et al., 2002.
Molecular characterization of
human meningiomas by gene expression profiling using high-density
oligonucleotide microarrays.
Watson MA, Gutmann DH, Peterson K, Chicoine
MR, Kleinschmidt-DeMasters BK, Brown HG, Perry A.
Am J Pathol. 2002
Aug;161(2):665-72.
[Pub Med]
[Data Download Site]
[Full Text]
[Group]
Entry 1: Rihn et al., 2000.
Differential gene expression in
mesothelioma.
Rihn BH, Mohr S, McDowell SA, Binet S, Loubinoux J,
Galateau F, Keith G, Leikauf GD.
FEBS Lett. 2000 Sep
1;480(2-3):95-100.
[Pub Med ]
[Data Download Site]
[Full Text]
[Group]
Entry 2. Hwang et. al., 2003
Genomic dissection for
characterization of cancerous oral epithelium tissues using transcription
profiling.
Hwang D, Alevizos I, Schmitt WA, Misra J, Ohyama H, Todd R,
Mahadevappa M, Warrington JA, Stephanopoulos G, Wong DT, Stephanopoulos
G.
Oral Oncol. 2003 Apr;39(3):259-68
[PubMed]
[Data Set Download Site]
[Full text]
[Group]
Entry 1: Welsh et al., 2001.
Analysis of gene expression
profiles in normal and neoplastic ovarian tissue samples identifies
candidate molecular markers of epithelial ovarian cancer.
Welsh
JB, Zarrinkar PP, Sapinoso LM, Kern SG, Behling CA, Monk BJ, Lockhart DJ, Burger
RA, Hampton GM. 2001.
Proc. Natl. Acad. Sci. USA, Vol. 98, Issue 3,
1176-1181
[Pub Med]
[Full Text at
PNAS]
[Data
Set Download Site]
Entry 2: Smith, 2002.
Transcriptional profiling develops
molecular signatures for ovarian tumors.
Smith DI.
Cytometry 2002
Jan 1;47(1):60-2.
[Pubmed]
[Fulltext]
[Data Download Site]
[Group]
Entry 3: Martoglio et. al.,2000.
Changes in tumorigenesis- and
angiogenesis-related gene transcript abundance profiles in ovarian cancer
detected by tailored high density cDNA arrays.
Martoglio AM, Tom BD,
Starkey M, Corps AN, Charnock-Jones DS, Smith SK.
Mol Med. 2000
Sep;6(9):750-65
[Pubmed]
[Fulltext]
[Data Download Site]
[Group]
Entry 4: Tonin et. al.,2001.
Microarray analysis of gene
expression mirrors the biology of an ovarian cancer model.
Tonin PN,
Hudson TJ, Rodier F, Bossolasco M, Lee PD, Novak J, Manderson EN, Provencher D,
Mes-Masson AM.
Oncogene. 2001 Oct 4;20(45):6617-26.
[Pubmed]
[Fulltext]
[Data Download Site]
[Group]
Entry 4.
Schwartz DR, Kardia SL,
Shedden KA, Kuick R, Michailidis G, Taylor JM, Misek DE, Wu R, Zhai Y, Darrah
DM, Reed H, Ellenson LH, Giordano TJ, Fearon ER, Hanash SM, Cho KR. Gene
expression in ovarian cancer reflects both morphology and biological behavior,
distinguishing clear cell from other poor-prognosis ovarian carcinomas. Cancer
Res. 2002 Aug
15;62(16):4722-9.
[Pubmed]
[Fulltext]
[Data Download Site]
[Group]
Entry 1:
Friess H, Ding J, Kleeff J, Liao
Q, Berberat PO, Hammer J, Buchler MW. Identification of disease-specific genes
in chronic pancreatitis using DNA array technology. Ann Surg. 2001 Dec;234(6):769-78; discussion
778-9.
Type: Diagnosis
[Pubmed]
[Fulltext]
[Data Download Site]
[Group]
Entry 1:
Singh et al., 2002.
Gene expression correlates of
clinical prostate cancer behavior.
Singh D, Febbo PG,
Ross K, Jackson DG, Manola J, Ladd C, Tamayo P, Renshaw AA, D'Amico AV, Richie
JP, Lander ES, Loda M, Kantoff PW, Golub TR, Sellers WR.
Cancer Cell
2002 Mar;1(2):203-9
[Pub Med]
[Full
Text]
Entry 2: Lou, 2002.
Gene expression alterations in human
prostate cancer.
Luo JH.
Drugs Today (Barc) 2002
Oct;38(10):713-9
[Pub med]
[Full text]
[Data Download Site]
[Group]
Entry 3:
Dhanasekaran et al., 2001.
Delineation of prognostic biomarkers in
prostate cancer.
Dhanasekaran SM, Barrette TR, Ghosh D, Shah R,
Varambally S, Kurachi K, Pienta KJ, Rubin MA, Chinnaiyan AM.
Nature 2001 Aug
23;412(6849):822-6
[Pub Med]
[Full Text]
Entry 4:
Welsh et al., 2001.
Analysis of gene expression identifies
candidate markers and pharmacological targets in prostate cancer.
Welsh
JB, Sapinoso LM, Su AI, Kern SG, Wang-Rodriguez J, Moskaluk CA, Frierson HF Jr,
Hampton GM.
Cancer Res 2001 Aug 15;61(16):5974-8
[Pub Med]
[Full Text]
Entry 5: Ernst et al.,
2002.
Decrease and gain of gene expression are equally discriminatory
markers for prostate carcinoma, a gene expression analysis on total and
microdissected prostate tissue.
Ernst T, Hergenhahn M, Kenzelmann M,
Cohen CD, Bonrouhi M, Weninger A, Klaren R, Grone EF, Wiesel M, Gudemann C,
Kuster J, Schott W, Staehler G, Kretzler M, Hollstein M, Grone HJ.
Am J
Pathol 160,2169-80.
[Pub Med]
[Full Text]
[Data Set Download Site]
Entry 6: Rhodes et al.,
2002.
Meta-analysis of microarrays, interstudy validation of gene
expression profiles reveals pathway dysregulation in prostate cancer.
Rhodes DR, Barrette TR, Rubin MA, Ghosh D, Chinnaiyan AM.
Cancer Res
62,4427-33.
[Pub Med]
[Full Text]
[Data Set Download Site]
Entry 7:
Huppi K, Chandramouli GV.
Molecular profiling of prostate cancer. Curr Urol Rep. 2004 Feb;5(1):45-51.
Type: Preclinical (Diagnosis)
[Pub Med]
[Full Text]
[Data Set Download Site]
Entry 8:
Dhanasekaran SM, Barrette TR,
Ghosh D, Shah R, Varambally S, Kurachi K, Pienta KJ, Rubin MA, Chinnaiyan AM.
Delineation of prognostic biomarkers in prostate cancer. Nature. 2001 Aug 23;412(6849):822-6.
Type: Preclinical (Prognosis)
[Pub Med]
[Full Text]
[Data Set Download Site]
Entry 9:
Latil A, Bieche I, Chene L,
Laurendeau I, Berthon P, Cussenot O, Vidaud M. Gene expression profiling in
clinically localized prostate cancer: a four-gene expression model predicts
clinical behavior. Clin Cancer Res.
2003 Nov 15;9(15):5477-85.
[Pub Med]
[Full Text]
[Data Set Download Site]
Reviews
Entry 1:
Barden CB,
Shister KW, Zhu B, Guiter G, Greenblatt DY, Zeiger MA, Fahey TJ 3rd.
Classification of follicular thyroid tumors by molecular signature: results of
gene profiling. Clin Cancer Res.
2003 May;9(5):1792-800.
Data Sets Demonstrating or Validating Correlation of Putative Biomarkers with Survivorship
Beer DG, Kardia SL, Huang CC, Giordano TJ, Levin AM, Misek DE,
Lin L, Chen G, Gharib TG, Thomas DG, Lizyness ML, Kuick R, Hayasaka S, Taylor
JM, Iannettoni MD, Orringer MB, Hanash S 2002. Gene-expression profiles predict
survival of patients with lung adenocarcinoma. Nat Med 2002
Aug;8(8):816-24
[Pubmed]
[Fulltext]
[Dataset Download Site]
[Group]
Hoshida Y,
Moriyama M, Otsuka M, Kato N, Goto T, Taniguchi H, Shiratori Y, Seki N, Omata M.
Identification of genes associated with sensitivity to 5-fluorouracil and
cisplatin in hepatoma cells. J Gastroenterol 2002 Nov;37 Suppl 14:92-5
[Pubmed]
[Fulltext]
[Dataset Download Site]
[Group]
Nutt CL, Mani DR,
Betensky RA, Tamayo P, Cairncross JG, Ladd C, Pohl U, Hartmann C, McLaughlin ME,
Batchelor TT, Black PM, von Deimling A, Pomeroy SL, Golub TR, Louis DN. Gene
expression-based classification of malignant gliomas correlates better with
survival than histological classification. Cancer Res 2003 Apr
1;63(7):1602-7
[Pubmed]
[Fulltext]
[Dataset Download Site]
[Group]
Raetz E, Perkins
S, Davenport V, Cairo MS. B large-cell lymphoma in children and adolescents.
Cancer Treat Rev 2003 Apr;29(2):91-8
[Pubmed]
[Fulltext]
[Dataset Download Site]
[Group]
Ramaswamy S, Ross
KN, Lander ES, Golub TR. 2003. A molecular signature of metastasis in
primary solid tumors. Nat Genet 2003 Jan;33(1):49-54
[Pubmed]
[Fulltext]
[Dataset Download Site]
[Group]
Saramaki O, Willi
N, Bratt O, Gasser TC, Koivisto P, Nupponen NN, Bubendorf L, Visakorpi T. 2001.
Amplification of EIF3S3 gene is associated with advanced stage in prostate
cancer.Am J Pathol 2001 Dec;159(6):2089-94
[Pubmed]
[Fulltext]
[Dataset Download Site]
[Group]
Tan Y, Li G, Zhao
C, Wang J, Zhao H, Xue Y, Han M, Yang C. Expression of sorcin predicts poor
outcome in acute myeloid leukemia. Leuk Res 2003 Feb;27(2):125-31
[Pubmed]
[Fulltext]
[Dataset Download Site]
[Group]
Tolgay Ocal I,
Dolled-Filhart M, D'Aquila TG, Camp RL, Rimm DL. Tissue microarray-based studies
of patients with lymph node negative breast carcinoma show that met expression
is associated with worse outcome but is not correlated with epidermal growth
factor family receptors. Cancer 2003 Apr 15;97(8):1841-8.
[Pubmed]
[Fulltext]
[Dataset Download Site]
[Group]
van de Vijver MJ,
He YD, van't Veer LJ, Dai H, Hart AA, Voskuil DW, Schreiber GJ, Peterse JL,
Roberts C, Marton MJ, Parrish M, Atsma D, Witteveen A, Glas A, Delahaye L, van
der Velde T, Bartelink H, Rodenhuis S, Rutgers ET, Friend SH, Bernards R. 2002.
A gene-expression signature as a predictor of survival in breast cancer. N
Engl J Med Dec 19;347(25):1999-2009
[NEJM]
[Fulltext]
[Dataset Download Site]
[Group]
Yagi T, Morimoto
A, Eguchi M, Hibi S, Sako M, Ishii E, Mizutani S, Imashuku S, Ohki M, Ichikawa
H. Identification of a gene expression signature associated with prognosis of
pediatric AML.Blood 2003 May 8; [epub ahead of print]
[Pubmed]
[Fulltext]
[Dataset Download Site]
[Group]
About this Resource
This list of papers and published microarray data sets is designed to facilitate the re-analysis of published data sets of global expression patterns in cancer in ways that will lead to meaningful clinical translation through repeated study validation. In the near future, the list of links will be replaced by a database, organized by cancer type, with the following subsections:
Classification (Molecular
Subtyping)
This list of entries is occasionally updated by curators. If you would like to curate the entries for a specific cancer type, please email us. As you can see, we haven't activated all of the links. If you found any dead links, or if you locate a link we should add, please let us know. Additional suggestions are also welcome.
This page was last modified on 4/19/2003 by JLW