Lung India (Jan 2023)

Lung cancer in Asian Indian females: Identification of disease-specific characteristics and outcome measures over a 12-year period

  • Hariharan Iyer,
  • Tamoghna Ghosh,
  • Avneet Garg,
  • Harsh Agarwal,
  • Deepali Jain,
  • Rambha Pandey,
  • Ashu Seith Bhalla,
  • Rakesh Kumar,
  • Vishal Vashistha,
  • Pawan Tiwari,
  • Saurabh Mittal,
  • Vijay Hadda,
  • Karan Madan,
  • Randeep Guleria,
  • Anant Mohan

DOI
https://doi.org/10.4103/lungindia.lungindia_43_22
Journal volume & issue
Vol. 40, no. 1
pp. 4 – 11

Abstract

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Aim: Globally, the incidence of lung cancer amongst women appears to be increasing. We aimed to compare the socio-epidemiological and clinical characteristics of lung cancer amongst men and women from a large cohort at a tertiary care hospital in Northern India. Methods: Records of patients diagnosed with lung cancer between January 2008 and March 2020 were reviewed. Baseline epidemiological data, clinical characteristics, histologic profiles, treatment administered, and survival were compared between males and females. Results: A total of 2054 male and 438 female patients were included in analysis. Compared to males, female patients were younger [median age, 56 vs. 60 years, P < 0.001)], less likely to be working, less educated beyond secondary level and less likely to be smokers (29.1% vs. 84.9%, P < 0.0001). No difference in baseline performance status was observed. Females were more frequently diagnosed with adenocarcinoma (54.2% vs. 30.2%, P = <0.0001), stage IV disease (70.8% vs. 63%, P = 0.001), and had higher rate of EGFR mutation (37.2% vs. 21.5%, P < 0.0001). There was no difference in the proportion of females receiving cancer-specific therapy. Multivariate Cox proportional hazards model revealed higher progression-free survival [median 9.17 vs. 7.23 months; P = 0.007] and overall survival [median 13.80 vs. 9.10 months respectively, P = 0.001] amongst females compared to males. Conclusion: Amongst a large cohort of lung cancer, females demonstrated several distinct and characteristic demographics as well as disease-related features, especially better survival outcomes.

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