
Accurate Labs, Meaningful Data, Better Outcomes for Rare Cancer Diagnosis
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The Silent Crisis of Late Cancer Diagnoses
In India, rare cancers often remain undetected until it is too late. Unlike more common cancers, where screening protocols and awareness campaigns exist, rare cancers suffer from delayed diagnoses due to a lack of patient-centric approaches, non-standardized lab practices, and ineffective data collection. The result? Patients reach oncologists when their cancer is already at an advanced, often incurable, stage. The good news is that change is possible—through better lab standardization, meaningful data-driven research, and patient-first healthcare models.
Why Are Rare Cancers Diagnosed Too Late?

The primary challenges in diagnosing rare cancers early include:
Lack of Standardization in Diagnostic Labs
Many diagnostic centers in India operate more like "lab shops" than reputable, standardized facilities. Without proper accreditation and quality control, test results vary drastically, leading to missed or misdiagnosed cases.
Unstructured and Misused Data Collection
Healthcare facilities collect enormous amounts of patient data, but much of it is either inconsistent, incomplete, or unrelated to improving cancer detection.
Limited Focus on Patient-Centric Diagnostics
Diagnostic procedures are often transaction-based rather than focused on comprehensive patient history, leading to fragmented insights.
Absence of Early Screening for Rare Cancers
Unlike breast or cervical cancer, where screening programs exist, rare cancers lack established early detection methods due to limited research and awareness.
The Role of Standardized Labs in Early Diagnosis

A significant factor in improving rare cancer detection is the standardization of diagnostic laboratories. Many Indian labs function without proper oversight, leading to incorrect or delayed diagnoses. The solution? National and global accreditation programs such as:
National Accreditation Board for Testing and Calibration Laboratories (NABL)
Indian Council of Medical Research (ICMR) guidelines
Good Clinical Laboratory Practices (GCLP)
Accreditation ensures uniformity in testing protocols, reducing discrepancies in reports. Standardized labs would:
Ensure higher accuracy in test results
Implement strict quality control measures
Facilitate better collaboration between diagnostic centers and oncology experts
Create a streamlined approach to rare cancer detection
Collecting Data That Matters: A Smart Approach to Medical Research

Data collection without a purpose is merely data hoarding. Many hospitals and diagnostic centers collect patient information but lack a clear strategy on how to use it. Data sets should form the foundation of predictive models for therapy response. The key is to prioritize actionable data sets that can:
Help in early-stage risk assessments for rare cancers
Identify patterns that indicate early warning signs
Enable AI-driven models for predictive analysis
Standardize biomarkers and genetic screening methods
BPM Medical Services is pioneering efforts in this space by integrating meaningful data analytics into diagnostics. Instead of amassing unrelated medical records, BPM focuses on creating structured, research-backed datasets that enhance the efficiency of rare cancer detection.
Shifting to a Patient-Centric Model

A patient-first approach in diagnostics is essential to bridging the gap between testing and treatment. This involves:
Comprehensive patient history assessments rather than isolated test reports
Regular follow-ups on ambiguous test results rather than dismissing borderline cases
Educating primary healthcare providers and diagnostic labs about early symptoms of rare cancers
How BPM Medical Services is Driving Change
BPM Medical Services is addressing these challenges through:
Standardization Support:
Helping diagnostic centers meet NABL and ICMR guidelines.
Data-Driven Insights:
Implementing smart data collection models for valuable research-driven outcomes.
Early Detection Tools: Providing AI-enhanced risk assessment and genetic screening solutions.
Training & Education:
Equipping diagnostic professionals with knowledge to identify rare cancer markers early.
A Unified Effort for a Better Future
The battle against late-stage rare cancer diagnoses requires a collective effort from diagnostic centers, research labs, and healthcare providers. By enforcing lab standardization, prioritizing meaningful data collection, and shifting towards a patient-centric approach, India can significantly improve early detection rates.
The time to act is now. Standardized diagnostics, meaningful data, and patient-first healthcare models are the future of oncology in India. BPM Medical Services is committed to leading this change—because when it comes to cancer, early detection isn’t just an advantage; it’s a lifesaver.
References
Elets eHealth Patient Centricity Awards & Summit. Elets eHealth, 31 Jan. 2025, New Delhi, India. Elets Technomedia, https://ehealth.eletsonline.com. Accessed 31 Jan. 2025.
National Accreditation Board for Testing and Calibration Laboratories (NABL). NABL India, Government of India, https://www.nabl-india.org. Accessed 7 Feb. 2025.
Indian Council of Medical Research (ICMR). ICMR India, Government of India, https://www.icmr.nic.in. Accessed 7 Feb. 2025.
Good Clinical Laboratory Practices (GCLP). World Health Organization (WHO), https://www.who.int/diagnostics_laboratory/gclp. Accessed 7 Feb. 2025.
World Health Organization (WHO). Early Cancer Detection Guidelines. WHO, https://www.who.int/cancer/prevention. Accessed 7 Feb. 2025.
Jiang, Y., et al. "The Role of Artificial Intelligence in Cancer Diagnostics." National Center for Biotechnology Information (NCBI), U.S. National Library of Medicine, https://www.ncbi.nlm.nih.gov/pmc/articles/AI-oncology. Accessed 7 Feb. 2025.
Tata Memorial Centre. India’s National Cancer Grid (NCG). Government of India, https://tmc.gov.in/ncg. Accessed 7 Feb. 2025.
Gupta, R., et al. "Cancer Statistics in India." Indian Journal of Medical Research, vol. 152, no. 4, 2022, pp. 387-397. https://www.ijmr.org.in/cancerstats. Accessed 7 Feb. 2025.
Smith, J., and Patel, A. "Health Data Standardization for Precision Oncology." Nature Precision Oncology, vol. 6, no. 2, 2024, pp. 102-115. https://www.nature.com/articles/precision-oncology. Accessed 7 Feb. 2025.