The application provides polypeptides comprising or essentially consisting of at least one heavy chain variable domain of a heavy chain antibody (V.sub.HH) or a functional fragment thereof, wherein said V.sub.HH or a functional fragment thereof specifically binds to a target protein that is present on and/or specific for a solid tumor, e.g. HER2. The application further provides nucleic acids encoding such polypeptides; methods for preparing such polypeptides; host cells expressing or capable of expressing such polypeptides; compositions, and in particular to pharmaceutical compositions, that comprise such polypeptides, nucleic acids and/or host cells. The application further provides such polypeptides, nucleic acids, host cells and/or compositions, for use in methods for detection, imaging, prognosis and diagnosis of cancer as well as for predicting patient response(s) to therapeutics.

Disclosed are isolated or purified T cell receptors (TCRs), wherein the TCRs have antigenic specificity for a mutated RAS amino acid sequence presented by a human leukocyte antigen (HLA) Class II molecule. Related polypeptides and proteins, as well as related nucleic acids, recombinant expression vectors, host cells, populations of cells, and pharmaceutical compositions are also provided. Also disclosed are methods of detecting the presence of cancer in a mammal and methods of treating or preventing cancer in a mammal.

The present invention relates to a composition capable of cancer diagnosis, a diagnostic kit comprising same, and a method for providing information for cancer diagnosis using the composition. When a biomarker of the present invention is used, it is possible to accurately and conveniently diagnose cancer, particularly breast cancer, in an early stage, and furthermore, it is possible to diagnose the stage of cancer and predict therapeutic responsiveness or post-treatment prognosis.

The present invention relates to compositions and methods for the prevention or the treatment of prostate cancer, wherein said compositions comprise an antibody binding to progastrin and said methods comprise the use of an antibody binding to progastrin.

Methods and systems for predictive measures of anti-EGFR therapy response in wild type RAS/EGFR+ samples, e.g., histochemical staining methods for staining EGFR, AREG, and EREG, digital analysis of stained slides, and scoring algorithms that allow prediction of a response to anti-EGFR therapies. Analysis of the stained slides and scoring algorithms may include but are not limited to: a percent tumor cell positivity, computerized clustering algorithms, area density (e.g., area of tumor positive for one or more markers over total tumor area), average intensity (e.g., computerized methodology measuring average gray scale pixel intensity), average intensity broken down according to membrane, cytoplasmic, or punctate staining patterns), or any other appropriate parameter or combination of parameters. The methods of the present invention allow for resolving spatial expression patterns of the ligands and the receptor to determine what patterns are predictive for response to anti-EGFR therapies.

[Problem ] Provided is a means for detecting and quantifying a biological substance of interest with an improved accuracy by inhibiting non-specific adsorption of fluorescent nanoparticles and thereby reducing the background noise in immunostaining with fluorescent nanoparticles. [Means for Solution] Immunostaining is carried out upon diluting fluorescent nanoparticles with a fluorescent nanoparticle diluent which contains 1 to 5% (W/W) of a protein having a molecular weight of 40,000 or higher (e,g., BSA) and 1 to 3% (W/W) of a protein having a molecular weight of less than 40,000 (eg ., casein) and, when casein is used as a low-molecular-weight protein, it is preferred that the κ-casein content in the casein is 10% (W/W) or less and the ratio of α-casein and β-casein (α-casein:β-casein) contained in the casein is 40:60 to 60:40 ( taking the total amount of α-casein and β-casein as 100).

The present disclosure relates to antibody molecules that bind specifically to C-MET and related nucleic acid molecules, vectors and host cells. Also provided are medical uses of such antibody molecules. The claimed anti C-Met antibodies of the present application have been selected by in silico engineering. Some of the antibodies have been generated and further characterized after expression in mammalian expression system.

The present invention provides MEL-18, which is a biomarker for human epidermal growth factor receptor2 (HER2)-positive cancer and anti-HER2 therapy, and a use thereof. According to the present invention, MEL-18 is a prognostic factor or predictor for a response of subjects to an anti-HER2-targeted drug in HER2-POSITIVE cancer and may be used in companion diagnostics for HER2-targeted drugs in subjects with HER2-positive cancer. Therefore, HER2-positive cancer may be more effectively treated by overcoming resistance to HER2 therapeutic agents and enhancing therapeutic efficacy by determining whether ADAM10/17 inhibitors are administered or co-administered with HER2-targeted drugs.

Provided are anti-epidermal growth factor receptor (EGFR) antibodies, aglycosylated CDR-H2 anti-EGFR antibodies, and antigen binding fragments thereof. Also provided are isolated nucleic acid molecules that encode the anti-EGFR antibodies or antigen binding fragments thereof, related expression vectors, and host cells. Provided are methods of making anti-epidermal growth factor receptor (EGFR) antibodies, aglycosylated CDR-H2 anti-EGFR antibodies, and antigen binding fragments thereof. Also provided are related pharmaceutical compositions and methods of their use to treat subjects.

An isolated polypeptide is provided. The isolated polypeptide comprising an antigen recognition domain specifically binding human HER-3 with a K.sub.D value of 10 nM or lower, wherein the polypeptide inhibits neuregulin (NRG) binding to the human HERS and NRG-induced cancer cell migration and proliferation.