Lapatinib 250mg tablets
Requires a prescription from a doctor or prescriber
Lapatinib is an anti-cancer drug developed by GlaxoSmithKline (GSK) as a treatment for solid tumours such as breast and lung cancer.
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Suspected adverse reactions reported for Lapatinib
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Tyverb 250mg tablets
WHO defined daily dose (DDD)
1.25 gram
Not a recommended dose. The DDD is the assumed average maintenance dose per day for a drug used for its main indication in adults. It is a statistical measure used for research and comparison purposes only.
Source: WHO Collaborating Centre for Drug Statistics Methodology, distributed via the NHS dm+d supplementary mapping files (NHSBSA). Contains public sector information licensed under the Open Government Licence v3.0.
Therapeutically similar medicines
Similarity is based on WHO Anatomical Therapeutic Chemical (ATC) classification and on a factual NHS dm+d therapeutic-grouping code prefix. Source data: NHS dm+d via TRUD (OGL v3.0), WHO ATC/DDD Index.
NHS prescribing volume and spending trends
Guidelines from the National Institute for Health and Care Excellence
NICE clinical guidance(6)
Lapatinib or trastuzumab in combination with an aromatase inhibitor for the first-line treatment of metastatic hormone receptor-positive breast cancer that overexpresses HER2 (TA257)
Trastuzumab emtansine for treating HER2-positive advanced breast cancer after trastuzumab and a taxane (TA458)
Tucatinib with trastuzumab and capecitabine for treating HER2-positive advanced breast cancer after 2 or more anti-HER2 therapies (TA786)
Early and metastatic HER2-positive breast cancer: subcutaneous trastuzumab (ESNM13)
Trastuzumab deruxtecan for treating HER2-positive unresectable or metastatic breast cancer after 2 or more anti-HER2 therapies (TA704)
Trastuzumab deruxtecan for treating HER2-positive unresectable or metastatic breast cancer after 1 or more anti-HER2 treatments (TA862)
Source: National Institute for Health and Care Excellence (NICE). Contains public sector information licensed under the Open Government Licence v3.0.
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Codes for healthcare professionals and prescribing systems
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NHS UK identifiers
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SNOMED CT and dm+d codes from NHS TRUD (Technology Reference data Update Distribution), licensed under the Open Government Licence v3.0. ATC codes from the WHO Collaborating Centre for Drug Statistics Methodology (whocc.no).
Active and completed clinical studies from ClinicalTrials.gov
Source: ClinicalTrials.gov, a database of the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Data accessed via ClinicalTrials.gov API v2. Trial information is provided for research purposes and does not constitute medical advice.
Academic studies and reviews for this medicine's active substance
Showing the 50 most relevant studies.
Reviews & meta-analyses: 4 · Randomised trials: 1 · 2011–2026
Showing the 50 most relevant studies, sorted by most relevant.
Wang C, Xiao D, Zhai C
2025
- Breast Neoplasms
- Antineoplastic Combined Chemotherapy Protocols
- Tyrosine Kinase Inhibitors
ObjectiveThis study aimed to evaluate the efficacy and safety of small-molecule TKIs in neoadjuvant treatment of HER2-positive breast cancer using a network meta-analysis approach.MethodsA systematic literature search was conducted in the Medline, Embase, and Web of Science databases. Eligible studies that included HER2-positive breast cancer patients receiving neoadjuvant treatment with small-molecule TKIs before surgery were included. A Bayesian framework within a random-effects model was used for network meta-analysis to summarize direct and indirect evidence. Outcome measures included breast pathological complete response (breast pCR), total pathological complete response (total pCR) of the breast and lymph nodes, and selected safety endpoints.ResultsEight eligible studies involving a total of 1,841 participants were included. The most common treatment regimens were Trastuzumab (n = 8), Lapatinib (n = 6), and Lapatinib plus Trastuzumab (n = 6), while there were fewer studies on Pyrotinib plus Trastuzumab (n = 2). No studies about tucatinib and neratinib were enrolled. The rankings of efficacy for the breast pCR and total pCR endpoints were as follows: (i) Pyrotinib plus Trastuzumab, (ii) Lapatinib plus Trastuzumab, (iii) Trastuzumab, (iv) Lapatinib. Regarding safety endpoints of grade 3 or higher diarrhea, neutropenia, fatigue, and skin disorders, the rankings were as follows: (i) Trastuzumab, (ii) Lapatinib, (iii) Lapatinib plus Trastuzumab, (iv) Pyrotinib plus Trastuzumab for diarrhea; (i) Pyrotinib plus Trastuzumab, (ii) Trastuzumab, (iii) Lapatinib plus Trastuzumab, (iv) Lapatinib for neutropenia; (i) Lapatinib plus Trastuzumab, (ii) Trastuzumab, (iii) Lapatinib for fatigue; (i) Trastuzumab, (ii) Lapatinib plus Trastuzumab, (iii) Lapatinib for skin disorders.ConclusionFor HER2-positive breast cancer patients, the use of small-molecule TKIs in combination with trastuzumab as neoadjuvant treatment has certain advantages in improving the rate of pathological response. Dual-targeted therapy with pyrotinib shows objective efficacy and acceptable safety; however, further research is still needed to confirm these findings.
Abstract licence: CC BY-NC-ND
Ye Yuan, Xumei Liu, Yi Cai, et al.
Systematic Reviews, 2022
Abstract Introduction Trastuzumab, as the gold standard for HER2-positive BC treatment, was the first-line HER2 targeted drug. However, some studies reported patients benefited more from lapatinib and lapatinib plus trastuzumab therapy than standard trastuzumab therapy. This study presents an update of a systematic review and meta-analysis involving comparison of lapatinib and lapatinib plus trastuzumab therapy versus trastuzumab therapy. Aim We determined whether trastuzumab plus lapatinib or lapatinib therapy is not inferior to trastuzumab therapy in HER2-positive breast cancer patients. Methods Relevant trials were searched in CNKI, Wanfang, VIP, Sinomed, PubMed, Embase, and Cochrane CENTRAL databases from inception until October 25, 2021. Primary outcomes were OS, DFS/EFS, and PFS while secondary outcomes were pCR (ypT0/is ypN0), pCR (ypT0/is ypN0/+), ORR, DCR, rate of BCS, RFS, cardiac toxicities, and other toxicities. Results Thirteen randomized controlled trials were included in this study. Trastuzumab combined with lapatinib therapy was found to be superior to standard trastuzumab therapy alone with regard to overall survival, disease-free survival/event-free survival, pathologic complete response (ypT0/is ypN0), pathologic complete response (ypT0/is ypN0/+), recurrence-free survival, higher incidences of diarrhea, and rash/skin toxicity. Lapatinib therapy was established to be inferior to trastuzumab therapy in overall survival, progression-free survival, disease-free survival/event-free survival, pathologic complete response (ypT0/is ypN0) and pathologic complete response (ypT0/is ypN0/+), diarrhea, and rash/skin toxicity and had a low incidence of left ventricular ejection fraction decline. Conclusions The efficacy of trastuzumab combined with lapatinib therapy is superior to standard trastuzumab therapy alone; however, it has more non-cardiac grade III/IV toxicities. Moreover, the efficacy of lapatinib therapy is inferior to that of standard trastuzumab therapy alone.
Abstract licence: CC BY 4.0
Muhammad Khan, Muhammad Khan, Zhihong Zhao, et al.
Frontiers in Oncology, 2020
Bharadwaj S, Corredor G, Al-Shakhshir H, et al.
2026
- Lymphocytes, Tumor-Infiltrating
- Breast Neoplasms
- Antineoplastic Combined Chemotherapy Protocols
PurposeTrastuzumab-based chemotherapy has improved outcomes in human epidermal growth factor receptor 2 (HER2)-positive breast cancer, but treatment benefit varies among patients. Predictive signatures are needed to identify patients most likely to respond to these therapies.Experimental designWe developed Density and Spatial architecture of Tumor-Infiltrating Lymphocytes (DeSTIL), a computational signature derived from hematoxylin and eosin slides. The signature captures spatial organization of immune cells and interactions with nonimmune cells. DeSTIL was trained on HER2+ breast cancer slides from The Cancer Genome Atlas (n = 250) and validated in a phase III National Surgical Adjuvant Breast and Bowel Project (NSABP) B-41 randomized clinical trial (n = 221), which compared chemotherapy plus trastuzumab, lapatinib, or combination. The DeSTIL scores were dichotomized into positive and negative groups, and event-free survival (EFS) was assessed using Cox proportional hazards with interaction terms.ResultsIn NSABP B-41, DeSTIL-positive patients (n = 61) showed significantly improved event-free survival (EFS) with trastuzumab compared with the combination arm [hazard ratio (HR) = 0.09; 95% confidence interval (CI) = 0.01-0.77; P = 0.006] and a significant signature-treatment interaction (P = 0.024). No EFS difference was observed in DeSTIL-negative patients (n = 160). Gene expression analysis supported the image-derived signature stratifying DeSTIL-positive and DeSTIL-negative tumors. In an exploratory pathologic complete response analysis, a classifier trained on University Hospitals Cleveland slides achieved AUCs of 0.70 in the training cohort and 0.63 in the trastuzumab arm of the NSABP B-41 validation cohort.ConclusionsDeSTIL identifies a subset of HER2+ patients who derive greater benefit from trastuzumab. These findings support the potential of computationally derived immune architecture to inform selection of standard HER2-targeted therapies.
Abstract licence: CC BY-NC-ND
N Fleeman, A Bagust, A Boland, et al.
Health Technology Assessment, 2011
Jiang F, Liu X, Wei Y, et al.
2026
- Ovarian Neoplasms
- Piperidines
- Indazoles
Li Z, Li Z, Diao L, et al.
2025
- Technetium
- Organotechnetium Compounds
- Quinazolines
Rajput H, Choudhary G, Siddiqui H, et al.
2025
- Metapneumovirus
- Paramyxoviridae Infections
- Nucleoproteins
BackgroundHuman metapneumovirus (HMPV) is an emerging respiratory pathogen affecting children, elderly individuals, and immunocompromised patients. Despite its disease burden, no antiviral treatment has been approved to date.ObjectiveThe present study aimed to identify the Food and Drug Administration-approved drugs with potential for repurposing against HMPV by targeting its key structural proteins-fusion (F) and nucleoprotein (N).Materials and methodsThe crystallographic structures of HMPV fusion (Protein Data Bank [PDB] ID: 5WB0) and nucleoprotein (PDB ID: 5FVD) were retrieved, validated, and subjected to molecular docking. Ligands with favorable binding scores were further evaluated using molecular dynamics simulations and binding-free-energy calculations. Pharmacokinetic and toxicity profiles were predicted to assess their translational viability.ResultsFor the fusion protein, rutin, carbetocin, and acarbose showed strong binding affinities and stable molecular interactions. For the nucleoprotein, mobocertinib, lapatinib, and levetiracetam emerged as top candidates, with mobocertinib showing the most favorable binding energy. Among all, levetiracetam displayed the most drug-like characteristics, including high gastrointestinal absorption, no major cytochrome P450 inhibition, and no violations of Lipinski's rule.ConclusionThe study highlights mobocertinib, rutin, and levetiracetam as promising repurposed drugs against HMPV. While mobocertinib exhibited the strongest predicted binding affinity, levetiracetam demonstrated the best pharmacokinetic profile, making it a particularly viable candidate for further experimental validation. These results validate the usefulness of in silico drug repurposing in addressing unmet antiviral needs and warrant preclinical studies to evaluate therapeutic efficacy.
Abstract licence: CC BY-NC-SA
Steggall J, Rajeeve V, Al-Subaie N, et al.
2025
- Breast Neoplasms
- Drug Resistance, Neoplasm
- Biomarkers, Tumor
IntroductionDrug resistance is a major obstacle to the long-term effectiveness of cancer therapies. Approximately 70% of breast cancer patients relapse after 5 years of treatment, and the lack of biomarkers associated with drug resistance translates to poor prognosis in the clinic. Previous research has utilised omics approaches to uncover biomarkers driving drug resistance, with a strong emphasis on genetic mutations.MethodsHere, we identified a nine-marker signature associated with resistance to lapatinib in a HER2-positive breast cancer model using a target discovery approach by employing an integrative multi-omics strategy, combining ATAC-seq, RNA-seq and proteomics.ResultsWe found that seven markers in the drug resistance-signature had not been previously found to be implicated in HER2-positive breast cancer, some of which we further validated using an additional lung cancer model. We counterintuitively found that drug-resistant cells have restrictive chromatin accessibility with reduced gene expression associated with limited total proteome changes. However, upon closer look, we identified that the drug resistance-signature had increased chromatin accessibility near the transcriptional start sites of those seven markers and was highly differentially expressed across the three datasets. Our data show that despite the overall transcriptional and proteomic landscape showing limited changes, there are several markers that are highly expressed, which correlate with increased anchorage-independent and invasive phenotype in vitro in lapatinib-resistant cells compared to cancer cells.ConclusionsOur results demonstrate that disease aggressiveness can be related to reduced chromatin and gene expression dynamics. We anticipate that the resistant signature identified here using an integrative target discovery approach can be applied to complex, more representative models and validated before they can be targeted by suitable therapeutic agents.
Abstract licence: CC BY
Frangos SM, Brunetta HS, Wang D, et al.
2026
- Mitochondria
- Energy Metabolism
- Carcinogenesis
It is now recognized that mitochondria play a crucial role in tumorigenesis; however, it has become clear that tumor metabolism varies significantly between cancer types. The failure of recent clinical trials aimed at directly targeting tumor respiration through oxidative phosphorylation inhibitors underscores the critical need for further studies providing an in-depth evaluation of mitochondrial bioenergetics. Accordingly, we comprehensively assessed the bulk tumor and mitochondrial metabolic phenotype in murine HER2-driven mammary cancer tumors and benign mammary tissue. Transcriptomic and proteomic profiling revealed a broad downregulation of mitochondrial genes/proteins in tumors, including OXPHOS subunits comprising Complexes I-IV. Despite reductions in tumor mitochondrial proteins, mitochondrial respiration was several-fold higher compared to benign mammary tissue, which persisted regardless of normalization method (wet weight, total protein content, and when corrected for mitochondrial content). This upregulated respiratory capacity could not be explained by OXPHOS uncoupling, suggesting HER2 signaling regulates intrinsic mitochondrial bioenergetics. In further support, lapatinib, an EGFR/HER2 tyrosine kinase inhibitor, attenuated mitochondrial respiration in NF639 murine mammary tumor epithelial cells. Together, this data highlights that the typical correlation between mitochondrial content and respiratory capacity may not apply to all tumor types and implicates HER2-linked activation of mitochondrial respiration supporting tumorigenesis in this model.
Abstract licence: CC BY
Sources: aggregated from Europe PMC (EMBL-EBI), OpenAlex, Crossref, PubMed and other open scholarly databases. Retracted articles are excluded. Study information is provided for research purposes and does not constitute medical advice.
Pharmacology and chemical data from DrugBank
Key facts
Drug status
Approved
Major interactions
None known
Half-life
14.2 hours
Mechanism
Lapatinib is a 4-anilinoquinazoline kinase inhibitor of the intracellular tyrosi…
Food interactions
2 warnings
Human targets
3 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
Half-life
14.2 hours
Effective multiple-dose half life: 24 hours
Protein binding
99%
Metabolism
14%
Elimination
14%
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medicines. Always consult a healthcare professional.
Showing 50 of 978 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
Effective multiple-dose half life: 24 hours
Proteins and enzymes this drug interacts with in the body
PMID:10805725 PMID:27153536 PMID:2790960 PMID:35538033
Known ligands include EGF, TGFA/TGF-alpha, AREG, epigen/EPGN, BTC/betacellulin, epiregulin/EREG and HBEGF/heparin-binding EGF .
PMID:12297049 PMID:15611079 PMID:17909029 PMID:20837704 PMID:27153536 PMID:2790960 PMID:7679104 PMID:8144591 PMID:9419975
Ligand binding triggers receptor homo- and/or heterodimerization and autophosphorylation on key cytoplasmic residues. The phosphorylated receptor recruits adapter proteins like GRB2 which in turn activates complex downstream signaling cascades. Activates at least 4 major downstream signaling cascades including the RAS-RAF-MEK-ERK, PI3 kinase-AKT, PLCgamma-PKC and STATs modules .
PMID:27153536
May also activate the NF-kappa-B signaling cascade .
PMID:11116146
Also directly phosphorylates other proteins like RGS16, activating its GTPase activity and probably coupling the EGF receptor signaling to the G protein-coupled receptor signaling .
PMID:11602604
Also phosphorylates MUC1 and increases its interaction with SRC and CTNNB1/beta-catenin .
PMID:11483589
Positively regulates cell migration via interaction with CCDC88A/GIV which retains EGFR at the cell membrane following ligand stimulation, promoting EGFR signaling which triggers cell migration .
PMID:20462955
Plays a role in enhancing learning and memory performance (By similarity).
Plays a role in mammalian pain signaling (long-lasting hypersensitivity) (By similarity)
Regulates outgrowth and stabilization of peripheral microtubules (MTs). Upon ERBB2 activation, the MEMO1-RHOA-DIAPH1 signaling pathway elicits the phosphorylation and thus the inhibition of GSK3B at cell membrane. This prevents the phosphorylation of APC and CLASP2, allowing its association with the cell membrane.
In turn, membrane-bound APC allows the localization of MACF1 to the cell membrane, which is required for microtubule capture and stabilization
Enzymes involved in drug metabolism — important for understanding drug interactions
Proteins that transport this drug across cell membranes
PMID:2897240 PMID:35970996 PMID:8898203 PMID:9038218 PMID:35507548
Catalyzes the flop of phospholipids from the cytoplasmic to the exoplasmic leaflet of the apical membrane. Participates mainly to the flop of phosphatidylcholine, phosphatidylethanolamine, beta-D-glucosylceramides and sphingomyelins .
PMID:8898203
Energy-dependent efflux pump responsible for decreased drug accumulation in multidrug-resistant cells PMID:2897240 PMID:35970996 PMID:9038218
PMID:25377891 PMID:25656091
Uses the chemical energy of ATP to export peptides against the concentration gradient .
PMID:25377891
During the transport cycle alternates between 'inward-facing' state with peptide binding site facing the cytosol to 'outward-facing' state with peptide binding site facing the ER lumen. Peptide antigen binding to ATP-loaded TAP1-TAP2 induces a switch to hydrolysis-competent 'outward-facing' conformation ready for peptide loading onto nascent MHCI molecules.
Subsequently ATP hydrolysis resets the transporter to the 'inward facing' state for a new cycle .
PMID:11274390 PMID:25377891 PMID:25656091
Typically transports intracellular peptide antigens of 8 to 13 amino acids that arise from cytosolic proteolysis via IFNG-induced immunoproteasome. Binds peptides with free N- and C-termini, the first three and the C-terminal residues being critical. Preferentially selects peptides having a highly hydrophobic residue at position 3 and hydrophobic or charged residues at the C-terminal anchor.
Proline at position 2 has the most destabilizing effect .
PMID:11274390 PMID:7500034 PMID:9256420
As a component of the peptide loading complex (PLC), acts as a molecular scaffold essential for peptide-MHCI assembly and antigen presentation PMID:1538751 PMID:25377891 PMID:26611325
ATC L01EH01
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Show
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Linked compound data from DrugBank Open Data (CC BY-NC 4.0)
Lapatinib
Additional database identifiers
Drugs Product Database (DPD)
20463
ChemSpider
181006
BindingDB
5445
PDB
FMM
ZINC
ZINC000001550477
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3236
GenAtlas
EGFR
GeneCards
EGFR
GenBank Gene Database
X00588
GenBank Protein Database
757924
Guide to Pharmacology
1797
UniProt Accession
EGFR_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3430
GenAtlas
ERBB2
GeneCards
ERBB2
GenBank Gene Database
M11767
GenBank Protein Database
553282
Guide to Pharmacology
2019
UniProt Accession
ERBB2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:24615
GeneCards
EEF2K
Guide to Pharmacology
2014
UniProt Accession
EF2K_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2637
GenAtlas
CYP3A4
GeneCards
CYP3A4
GenBank Gene Database
M18907
Guide to Pharmacology
1337
UniProt Accession
CP3A4_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2638
GenAtlas
CYP3A5
GeneCards
CYP3A5
GenBank Gene Database
J04813
GenBank Protein Database
181346
Guide to Pharmacology
1338
UniProt Accession
CP3A5_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2622
GenAtlas
CYP2C8
GeneCards
CYP2C8
GenBank Gene Database
M17397
Guide to Pharmacology
1325
UniProt Accession
CP2C8_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2621
GeneCards
CYP2C19
GenBank Gene Database
M61854
GenBank Protein Database
181344
Guide to Pharmacology
1328
UniProt Accession
CP2CJ_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:40
GenAtlas
ABCB1
GeneCards
ABCB1
GenBank Gene Database
M14758
GenBank Protein Database
307180
Guide to Pharmacology
768
UniProt Accession
MDR1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:43
GenAtlas
TAP1
GeneCards
TAP1
GenBank Gene Database
X66401
UniProt Accession
TAP1_HUMAN
DrugBank citations
If you use DrugBank data in your research, please cite:
- DrugBank 6.02024Recommended citationKnox C., Wilson M., Klinger C.M., et alDrugBank 6.0: the DrugBank Knowledgebase for 2024Nucleic Acids Res. 2024 Jan 552(D1):D1265-D1275
- DrugBank 5.02018Wishart D.S., Feunang Y.D., Guo A.C., et alDrugBank 5.0: a major update to the DrugBank database for 2018Nucleic Acids Res. 2017 Nov 846(D1):D1074-D1082
- DrugBank 4.02014Law V., Knox C., Djoumbou Y., et alDrugBank 4.0: shedding new light on drug metabolismNucleic Acids Res. 2014 Jan 142(1):D1091-7
- DrugBank 3.02011Knox C., Law V., Jewison T., et alDrugBank 3.0: a comprehensive resource for 'omics' research on drugsNucleic Acids Res. 2011 Jan39(Database issue):D1035-41
- DrugBank 2.02008Wishart D.S., Knox C., Guo A.C., et alDrugBank: a knowledgebase for drugs, drug actions and drug targets.Nucleic Acids Research2008 Jan36(Database issue):D901-6
- DrugBank 1.02006Wishart D.S., Knox C., Guo A.C., et alDrugBank: a comprehensive resource for in silico drug discovery and exploration.Nucleic Acids Research2006 Jan 134(Database issue):D668-72