T-cell metagene predicts a favorable prognosis in estrogen receptor-negative and HER2-positive breast cancers.
about
Cellular Immune Responses and Immune Escape Mechanisms in Breast Cancer: Determinants of ImmunotherapyAssociation of Protein Translation and Extracellular Matrix Gene Sets with Breast Cancer Metastasis: Findings Uncovered on Analysis of Multiple Publicly Available Datasets Using Individual Patient Data ApproachImmune DNA signature of T-cell infiltration in breast tumor exomes.CD8+T cell-specific induction of NKG2D receptor by doxorubicin plus interleukin-12 and its contribution to CD8+T cell accumulation in tumorsPathway-based personalized analysis of breast cancer expression data.The innate and adaptive infiltrating immune systems as targets for breast cancer immunotherapy.Enumerating the gene sets in breast cancer, a "direct" alternative to hierarchical clustering.Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data?Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease.Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures.Inhibition of Hematopoietic Cell Kinase Activity Suppresses Myeloid Cell-Mediated Colon Cancer ProgressionMMP11 and CD2 as novel prognostic factors in hormone receptor-negative, HER2-positive breast cancer.Distinctive responsiveness to stromal signaling accompanies histologic grade programming of cancer cellsPrognostic B-cell signatures using mRNA-seq in patients with subtype-specific breast and ovarian cancer.Preliminary characterization of IL32 in basal-like/triple negative compared to other types of breast cell lines and tissues.Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems.Homogeneous datasets of triple negative breast cancers enable the identification of novel prognostic and predictive signatures.Breast cancer patients' clinical outcome measures are associated with Src kinase family member expression.Claudin-low breast cancers: clinical, pathological, molecular and prognostic characterizationPredicting response and survival in chemotherapy-treated triple-negative breast cancer.Immunoglobulin kappa C predicts overall survival in node-negative breast cancer.Patient-tailored modulation of the immune system may revolutionize future lung cancer treatment.Impact of CD68/(CD3+CD20) ratio at the invasive front of primary tumors on distant metastasis development in breast cancerDual roles for immune metagenes in breast cancer prognosis and therapy prediction.GOBO: gene expression-based outcome for breast cancer onlineAn integrated genomics approach identifies drivers of proliferation in luminal-subtype human breast cancer.Serum soluble CD14 is a potential prognostic indicator of recurrence of human breast invasive ductal carcinoma with Her2-enriched subtype.Modelling the spatial heterogeneity and molecular correlates of lymphocytic infiltration in triple-negative breast cancer.Prospective validation of immunological infiltrate for prediction of response to neoadjuvant chemotherapy in HER2-negative breast cancer--a substudy of the neoadjuvant GeparQuinto trial.Systematic assessment of prognostic gene signatures for breast cancer shows distinct influence of time and ER status.Combining functional genomics strategies identifies modular heterogeneity of breast cancer intrinsic subtypesTumor Infiltrating Lymphocytes - The Next Step in Assessing Outcome and Response to Treatment in Patients with Breast CancerIntratumoral CD8⁺ cytotoxic lymphocyte is a favorable prognostic marker in node-negative breast cancerKinome expression profiling and prognosis of basal breast cancersA pharmacogenomic method for individualized prediction of drug sensitivityCharacterization of the immunophenotypes and antigenomes of colorectal cancers reveals distinct tumor escape mechanisms and novel targets for immunotherapy.Gene-expression molecular subtyping of triple-negative breast cancer tumours: importance of immune response.Breast cancer - one term, many entities?Profile of differentially expressed intratumoral cytokines to predict the immune-polarizing side effects of tamoxifen in breast cancer treatmentA gene signature for predicting outcome in patients with basal-like breast cancer.
P2860
Q26745444-7981E431-3EBC-4249-9551-0A91216F1122Q30000323-C2323F28-71D4-4C10-AFB4-8E11AFB973DCQ30377226-409360A0-00CA-4E52-B479-169B2982A551Q30442426-3FE22A84-D2D0-4E25-A34E-683F3903D27DQ30949620-805F940D-4DCE-476F-B3A5-035603834469Q33660069-0D817AAB-E983-4516-B7F7-7C3E59136DC3Q33669571-636ABFB5-181F-4EFE-9334-CB83EE1E91AEQ33751916-7748BF21-B8C2-483B-A91F-AB06FA2119DAQ33769821-3DE843C7-3664-46B3-99E6-0E6BBE6119C0Q33788520-E5D1B3A8-FC13-4170-87DF-B253CE54A4DBQ33821187-ABD0FF89-82AE-4916-AC78-4090D74E08DAQ33843799-842E2160-74F8-405D-958E-494DFF4FB3BEQ33916413-CA88241E-D1BE-4E7D-82D3-4F5EBDD7CA00Q33916814-9F046122-3CFB-4E9F-9C31-B6BED01B79D2Q34042748-9238089D-0CAD-4FEE-BFB8-FA98E37DF9D3Q34088408-1680F12B-8DB6-4B2C-9215-2E0EF394B238Q34119025-B2A9DD67-AF9D-4BEF-BF0E-F2E4BFBE8BF9Q34253693-6680B383-8A85-41C4-9131-0A8CCD18538BQ34339847-ADB47C0C-3F7D-454F-81F7-D0C5E04424D4Q34354538-1847620E-272B-4FAE-B41C-15592B132C9EQ34427347-C7755F87-8912-4BC4-8489-B8E1C8AB476FQ34502899-69FD31E1-255D-4126-B9C1-C38409369E81Q34541239-5BF966D0-58F8-485D-AA49-0F28C4FB9548Q34558758-69F4D991-F29C-4AF9-B364-8B8FBBF9919CQ34704073-8E547064-B6DC-42C8-B659-607B26B3F82FQ34989075-01E8FB18-4BAA-4C01-9855-BFBB686D2C10Q35005593-FFB27430-548E-44D7-A58C-C77DB611F6B9Q35009369-D0C6E367-F2C7-4C4F-86C5-6B1C3097AE13Q35060987-C37DD0D3-2387-4386-9EAB-3D2B6A380E56Q35124596-055C5B2C-941C-47F7-9E09-A022DF3795BAQ35149532-2BB726AD-6F97-47F0-8CEB-A5E2C9606557Q35149726-AC47C69C-1552-4A2E-93EA-2652DE9D6830Q35151735-DD893497-D404-4B12-9701-3E70098E03D9Q35166659-D63B8074-012E-451D-8C09-551530D757E6Q35176386-7C1E3E1B-DC19-4C3B-BAFA-62B5CB667068Q35227810-CBBE1FFA-EDA0-4DEB-A7B2-58BAFC1478C0Q35314135-002542E5-2D82-4040-A7BA-DF9D1B0CC015Q35370118-51B42946-0E25-463D-8EE0-2FCB491C5B28Q35402584-D45E1FAA-E165-439F-AE6C-7CC97D964A94Q35675013-8F4CE37C-F5E3-468D-9DEC-83F5D00F7B98
P2860
T-cell metagene predicts a favorable prognosis in estrogen receptor-negative and HER2-positive breast cancers.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 09 March 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
T-cell metagene predicts a fav ...... HER2-positive breast cancers.
@en
T-cell metagene predicts a fav ...... HER2-positive breast cancers.
@nl
type
label
T-cell metagene predicts a fav ...... HER2-positive breast cancers.
@en
T-cell metagene predicts a fav ...... HER2-positive breast cancers.
@nl
prefLabel
T-cell metagene predicts a fav ...... HER2-positive breast cancers.
@en
T-cell metagene predicts a fav ...... HER2-positive breast cancers.
@nl
P2093
P2860
P356
P1476
T-cell metagene predicts a fav ...... d HER2-positive breast cancers
@en
P2093
Achim Rody
Christine Solbach
Cornelia Liedtke
Dirk Metzler
Eugen Ruckhaeberle
Knut Engels
Laos Pusztai
Lars Hanker
Manfred Kaufmann
P2860
P2888
P356
10.1186/BCR2234
P50
P577
2009-03-09T00:00:00Z
P5875
P6179
1035269256