4.6 Article

Prognostic ability of lung immune prognostic index in limited-stage small cell lung cancer

Journal

BMC CANCER
Volume 22, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12885-022-10351-7

Keywords

Lung immune prognostic index (LIPI); Limited-stage small-cell lung cancer (LS-SCLC); Prognostic biomarker; Immunity; Inflammation

Categories

Funding

  1. Key Research and Development (R&D) Projects of Shanxi Province [201803D31174]
  2. Applied Basic Research Projects of Shanxi Province [20210302124598]
  3. Fund Program for the Scientific Activities of Selected Returned Overseas Professionals in Shanxi Province (Department of Resource and Social Security of Shanxi Province) [[2019]1176]
  4. Shanxi Scholarship Council of China [[2022]210]
  5. Four Batches Innovation Project of Invigorating Medical through Science and Technology of Shanxi Province [[2022]37]

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The study aimed to evaluate the role of LIPI in limited-stage SCLC and found that high-risk LIPI was associated with poorer overall survival and progression-free survival. A predictive nomogram based on LIPI was developed with decent predictive power.
Background Lung immune prognostic index (LIPI) is a prognostic marker of extensive-stage small cell lung cancer (ES-SCLC) patients received immunotherapy or chemotherapy. However, its ability in limited-stage SCLC (LS-SCLC) should be evaluated extensively. Methods We retrospectively enrolled 497 patients diagnosed as LS-SCLC between 2015 and 2018, and clinical data included pretreatment lactate dehydrogenase (LDH), white blood cell count, and absolute neutrophil count levels were collected. According to the LIPI scores, the patients were stratified into low-risk (0 points) and high-risk (1-2 points). The correlations between LIPI and overall survival (OS) or progression-free survival (PFS) were analyzed by the Cox regression. Additionally, the propensity score matching (PSM) and inverse probability of treatment weight (IPTW) methods were used to reduce the selection and confounding bias. A nomogram was constructed using on multivariable Cox model. Results Two hundred fifty and 247 patients were in the LIPI high-risk group and low-risk group, and their median OS was 14.67 months (95% CI: 12.30-16.85) and 20.53 months (95% CI: 17.67-23.39), respectively. In the statistical analysis, High-risk LIPI was significantly against worse OS (HR = 1.377, 95%CI:1.114-1.702) and poor PFS (HR = 1.338, 95%CI:1.1-1.626), and the result was similar after matching and compensating with the PSM or IPTW method. A novel nomogram based on LIPI has a decent level of predictive power. Conclusion LIPI stratification was a significant factor against OS or PFS of LS-SCLC patients.

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