scholarly journals Preoperative paraspinous muscle sarcopenia and physical performance as prognostic indicators in non‐small‐cell lung cancer

Author(s):  
Shinya Tanaka ◽  
Naoki Ozeki ◽  
Yota Mizuno ◽  
Hiroki Nakajima ◽  
Keiko Hattori ◽  
...  
2004 ◽  
Vol 10 (13) ◽  
pp. 4314-4324 ◽  
Author(s):  
Junya Fukuoka ◽  
Takeshi Fujii ◽  
Joanna H. Shih ◽  
Tatiana Dracheva ◽  
Daoud Meerzaman ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 4280
Author(s):  
Beatriz Honrubia-Peris ◽  
Javier Garde-Noguera ◽  
Jose García-Sánchez ◽  
Nuria Piera-Molons ◽  
Antonio Llombart-Cussac ◽  
...  

Numerous targeted therapies have been evaluated for the treatment of non-small cell lung cancer (NSCLC). To date, however, only a few agents have shown promising results. Recent advances in cancer immunotherapy, most notably immune checkpoint inhibitors (ICI), have transformed the treatment scenario for these patients. Although some patients respond well to ICIs, many patients do not benefit from ICIs, leading to disease progression and/or immune-related adverse events. New biomarkers capable of reliably predicting response to ICIs are urgently needed to improve patient selection. Currently available biomarkers—including programmed death protein 1 (PD-1) and its ligand (PD-L1), and tumor mutational burden (TMB)—have major limitations. At present, no well-validated, reliable biomarkers are available. Ideally, these biomarkers would be obtained through less invasive methods such as plasma determination or liquid biopsy. In the present review, we describe recent advances in the development of novel soluble biomarkers (e.g., circulating immune cells, TMB, circulating tumor cells, circulating tumor DNA, soluble factor PD-L1, tumor necrosis factor, etc.) for patients with NSCLC treated with ICIs. We also describe the potential use of these biomarkers as prognostic indicators of treatment response and toxicity.


2019 ◽  
Vol 15 (24) ◽  
pp. 2829-2840 ◽  
Author(s):  
Yun Li ◽  
Fenglong Bie ◽  
Yadong Wang ◽  
Wenting Wang ◽  
Jiajun Du

Aim: Predicting the prognostic outcome of a single case among postoperative non-small-cell lung cancer (NSCLC) patients is difficult. We created a precise prognostic model to assess the condition and prognosis of postoperative NSCLC patients. Methods: We combined eight prognostic indicators (age, prothrombin time, international normalized ratio, globulin, albumin-to-globulin ratio, tumor diameter, number of positive lymph nodes and number of dissected lymph nodes) to construct a new risk index (RI) model. Results: The best cut-off value was -1.86 (area under the curve: 0.719). The overall survival of postoperative NSCLC patients decreased as the RI increased (p < 0.001). Conclusion: This RI model can assist clinicians in screening high-risk groups and developing treatment and follow-up plans for postoperative NSCLC patients.


2011 ◽  
Vol 43 (1) ◽  
pp. 32-41 ◽  
Author(s):  
Dong-Soo Lee ◽  
Yeon-Sil Kim ◽  
Jin-Hyoung Kang ◽  
Sang-Nam Lee ◽  
Young-Kyoun Kim ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document