Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Erlotinib, sold under the brand name Tarceva among others, is a medication used to treat non-small cell lung cancer (NSCLC) and pancreatic cancer. Specifically it is used for NSCLC with mutations in the epidermal growth factor receptor (EGFR) — either an exon 19 deletion (del19) or exon 21 (L858R) substitution mutation — which has spread to other parts…
The analysis highlights Community, Culture, Applications and Art as prominent areas in the source structure around Erlotinib.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Erlotinib shows recurring relationship patterns in the source. For example, Erlotinib → Cipla, Delaware, Genentech, In India, In May, Indian, It, Mylan Pharmaceuticals, OSI Pharmaceutical LLC, OSI Pharmaceuticals, Roche, The, United States, US District Court Another extracted example is Erlotinib → BAC, Drug Administration, EGFR, FDA, Food, Genzyme, In, Overall, Patients, PFS, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
egfr cancer lung receptor epidermal growth factor effects patients may use side drug tyrosine kinase rash liver resistance treatment pancreatic
TTTA extracted 85 structured relationships around Erlotinib. Examples in this analysis include Erlotinib → 3D model (JSmol) → Interactive image and Erlotinib → AHFS/Drugs.com → Monograph. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Erlotinib | 3D model (JSmol) | Interactive image | 1.00 | infobox |
| Erlotinib | AHFS/Drugs.com | Monograph | 1.00 | infobox |
| Erlotinib | ATC code | L01EB02 (WHO) | 1.00 | infobox |
| Erlotinib | Bioavailability | 59% | 1.00 | infobox |
| Erlotinib | CAS Number | 183321-74-6 Y | 1.00 | infobox |
| Erlotinib | ChEBI | CHEBI:114785 Y | 1.00 | infobox |
| Erlotinib | ChEMBL | ChEMBL553 Y | 1.00 | infobox |
| Erlotinib | ChemSpider | 154044 Y | 1.00 | infobox |
| Erlotinib | CompTox Dashboard (EPA) | DTXSID8046454 | 1.00 | infobox |
| Erlotinib | DrugBank | DB00530 Y | 1.00 | infobox |
| Erlotinib | ECHA InfoCard | 100.216.020 | 1.00 | infobox |
| Erlotinib | Elimination half-life | 36.2 hrs (median) | 1.00 | infobox |
| Erlotinib | Excretion | >98% as metabolites, of which >90% via feces, 9% via urine | 1.00 | infobox |
| Erlotinib | Formula | C22H23N3O4 | 1.00 | infobox |
| Erlotinib | IUPHAR/BPS | 4920 | 1.00 | infobox |
| Erlotinib | KEGG | D07907 Y | 1.00 | infobox |
| Erlotinib | Legal status | AU: S4 (Prescription only) | 1.00 | infobox |
| Erlotinib | Legal status | UK: POM (Prescription only) | 1.00 | infobox |
| Erlotinib | Legal status | US: ℞-only | 1.00 | infobox |
| Erlotinib | License data | US DailyMed: Erlotinib | 1.00 | infobox |
| Erlotinib | MedlinePlus | a605008 | 1.00 | infobox |
| Erlotinib | Metabolism | Liver (mainly CYP3A4, less CYP1A2) | 1.00 | infobox |
| Erlotinib | Molar mass | 393.443 g·mol−1 | 1.00 | infobox |
| Erlotinib | Other names | Erlotinib hydrochloride | 1.00 | infobox |
| Erlotinib | Pregnancy category | AU: C | 1.00 | infobox |
| Erlotinib | Protein binding | 95% | 1.00 | infobox |
| Erlotinib | PubChem CID | 176870 | 1.00 | infobox |
| Erlotinib | Routes of administration | By mouth | 1.00 | infobox |
| Erlotinib | Trade names | Tarceva | 1.00 | infobox |
| Erlotinib | UNII | J4T82NDH7E | 1.00 | infobox |
The concept neighborhoods around Erlotinib bring nearby vocabulary together. In this analysis, examples include Cancer, Lung and Treatment. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Erlotinib, one of the stronger structural bridges in this analysis connects Erlotinib with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Erlotinib to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Community, Culture, Applications & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Erlotinib · EN edition · Analysis: TopicsToTalkAbout