Unlock insights in Immuno-Oncology

Immuno-Oncology Dataset Insights

Our dataset* provides valuable insights into breast cancer, including but not limited to:

Immuno-Oncology Dataset Insights

Our dataset* provides valuable insights into breast cancer, including but not limited to:

+2000

Estimated N Patiens on ICI

4.2

years

Mean FU period

8

N ICI's

+597

Endpoints

Top 5 Indications (%)

  • Lung Cancer (54.9%)
  • Renal Cancer (9.2%)
  • BladderCancer (7.3%)
  • Melanoma (6.1%)
  • Head & Neck Cancer (5.9%)

42

(135 identified)

N Adverse Events

10

(29 identified)

N Biomarkers

23.8

months

Mean OS

21

N Cancer Types

Request feasibility check

Note that the estimated patient counts provided (prior to inclusion/exclusion criteria) are specific to our Belgian dataset. The LynxCare datasets continue to expand, encompassing real-world data from hospitals across Europe. Complete the request feasibility form linked above to discuss your study needs with one of our RWE experts.

Closing the Gap

The Value of Unstructured Data in Immuno-Oncology.

Comorbidity Data Gap

The majority of randomized clinical trials for immuno-oncology exclude patients with significant comorbidities, yet these patients make up a large proportion of the immuno-oncology population.Our data asset offers insights into the relationship of specific comorbidities, adverse events and biomarkers with immuno-oncology prognosis, bridging an important knowledge gap and informing treatment and follow-up decisions.
Evidenced by our data which yielded a higher prevalence of Dementia of 10% compared to 5% with structured data alone.

Reason for treatment line switch

Structured data alone only provides part of the picture, missing key nuances. Combining structured data with rich EHR narrative data can improve our understanding of toxicity reasons, as evidenced by our data which yielded a higher auto-immune disease detection of 13.5 % compared to 4.7 % with structured data alone.

Real-World Insights

Using our real-world dataset, with a mean follow-up time of over four years, we can analyze adverse events, OS, and treatment patterns in real time, providing invaluable insights into the patient pathway of immuno-oncology.

Unpacking The Data

The Sources Behind Our Insights

Clinical Assessments

  • Patient demographics
  • Vital signs
  • Claims data
  • Biomarkers
  • Medications
  • Tumor staging

Medical records

  • Active and inactive medical problems
  • Surgical interventions
  • Hospital procedures, visits & hospitalizations
  • In and out of hospital mortality

Treatment data

  • Drug regimens
  • Doses and durations of chemotherapy, radiation, immunotherapy
  • Immuno-Modulary treatments

Molecular Data Points

  • Gene expression profiles
  • Molecular-level information

Unlock Research Questions

Our dataset offers life science companies unparalleled insights into the relationship between specific biomarkers, comorbidities, and treatment outcomes in immuno-oncology.

Research Question/
Endpoints

Demographics

Cancer type

Histology

Comorbidities

Lab results

Cancer treatment

Hospital visit &
admissions

Survival

Biomarkers
Genetic drivers

Outcomes

Adverse events

Complications

Titration / Dosing

Treatment dynamics

Incidence & Prevalence

Adherence

Efficacy

Indication split

Safety profile

How Pharma Can Leverage LynxCare's Dataset

Clinical Trial Design

Our granular and quality-controlled real-world dataset can help design clinical trials that better reflect real-world scenarios.

Synthetic Control Arm

Our dataset can be used to create synthetic control arms, which can be used to evaluate the effectiveness of new treatments.

Market Access

Our dataset can help pharma companies gain a better understanding of the market and generate granular value dossiers for HEOR.

Medical Affairs

Our dataset can help medical affairs teams better understand the clinical outcomes and real-world evidence associated with their products.

How Hospitals Can Benefit from a LynxCare Database

Improving Patient Care

Find more relevant medical information thanks to LynxCare's disease-specific NLP pipeline for a better patient and population understanding.

Research & Network Opportunities

Initiate or participate in national and international multi-center, multi-country RWE studies.

Benefit from network of KOLs.

Scientific Research

Initiate or participate in (pharma- or physician initiated) peer-reviewed (multi-center, multi-country) publications

Increased Clinical Trial Participation

More effective patients/cohort selection through clinical NLP, enrolling more patients in clinical trials

Improve your Data Quality

Receive feedback on the clinical data quality of your hospital’s database.

Benefit from data science training provided

World-Class Expertise.
The LynxCare Advantage

Representativity

We do our best to ensure representativity by including data from a mix of academic and non-academic centers. This captures the real-world patient and treatment pathway.

Hospital Network & Data Access

The hospitals remain in control over their own data. Each RWE request is individually handled following data governance guidelines and timelines inour master service agreement to accelerate the delivery of insights.

Clinical Experts

We partner with clinical experts in IO and other specialties to ensure our data offers relevant and valuable insights for healthcare professionals.

Partnership with the best statistical firms

LynxCare partners with statistical firms who already have a working relationship with the life science company.

Data Experts

Our team of data experts has a combined 50+ years of experience in healthcare data analytics and quality control.

Differentiating factors from other NLP providers & established RWD vendors

Size and Granularity

Our data asset contains over 2000 estimated ICI treated patients and 579 endpoints measured throughout the patient pathway, offering exceptional granularity for analysis.

Data Quality and Freshness

Our strict data quality standards and regular updates ensure that our dataset is both reliable and up-to-date, providing the most valuable insights for our clients.

Disease-specific NLP

Our NLP is disease-specific. As a result, the data is far more complete compared to other broad NLP vendors.

Fast Data Access

We run projects on databases already built and manage your expectations upfront with a feasibility check for your study protocol.

OMOP-CDM Data Warehouse

Our dataset is stored in the widely-used OMOP-CDM format, enabling our clients to easily integrate our data with other healthcare or research IT solutions.

Building Trust
Quality Control and Data Freshness

Patient Insights
More Than Numbers

The Future of Immuno-Oncology Treatment

How LynxCare Can Help

Personalized Medicine

By providing insights into individual pathways of immuno-oncology patients, our data asset enablesclinicians to tailor treatments to specific patient needs, opening up the possibility of personalized medicine for immuno-oncology.

Improved Outcomes

By providing insights into the clinical pathway of immuno-oncology patients, our data asset aims to ultimately improve patient outcomes by providing valuable insights for clinicians and researchers.

Continued Innovation

With our comprehensive dataset and world-class expertise, we aim to continue to drive innovation in immuno-oncology treatment and management, ensuring that the latest insights and solutions are available to healthcare providers and researchers.

° LynxCare datasets concern datasets within the LynxCare's European hospital network. The hospitals are the data controllers. No commitment before site approval on RWE request.

Request feasibility assessment

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