JOURNAL ARTICLE

Expression of choline kinase alpha to predict outcome in patients with early-stage non-small-cell lung cancer: a retrospective study

Ana Ramírez de Molina, Jacinto Sarmentero-Estrada, Cristóbal Belda-Iniesta, Miquel Tarón, Victor Ramírez de Molina, Paloma Cejas, Marcin Skrzypski, David Gallego-Ortega, Javier de Castro, Enrique Casado, Miguel Angel García-Cabezas, Jose Javier Sánchez, Manuel Nistal, Rafael Rosell, Manuel González-Barón, Juan Carlos Lacal
Lancet Oncology 2007, 8 (10): 889-97
17851129

BACKGROUND: Adequate prognostic markers to predict outcome of patients with lung cancer are still needed. The aim of this study was to assess whether choline kinase alpha (ChoKalpha) gene expression could identify patients with different prognoses. ChoKalpha is an enzyme involved in cell metabolism and proliferation and has a role in oncogene-mediated transformation in several human tumours, including lung cancer.

METHODS: 60 patients with non-small-cell lung cancer (NSCLC) who had undergone surgical resection in a single centre were enrolled into the study as the training group. We used real-time reverse-transcriptase PCR (RT-PCR) to measure ChoKalpha gene expression and analyse the association between ChoKalpha expression and survival in evaluable patients. Additionally, a second group of 120 patients with NSCLC from a different hospital were enrolled into the study as the validation group. We did an overall analysis of all 167 patients who had available tissue to confirm the cut-off point for future studies. The primary endpoints were lung-cancer-specific survival and relapse-free survival.

FINDINGS: Seven of the 60 patients in the training group were not evaluable due to insufficient tissue. In the 53 evaluable patients, the cut-off for those with ChoKalpha overexpression was defined by receiver operator under the curve (ROC) methodology. 4-year lung-cancer-specific survival was 54.43% (95% CI 28.24-80.61) for 25 patients with ChoKalpha expression above the ROC-defined cut-off compared with 88.27% (75.79-100) for 28 patients with concentrations of the enzyme below this cut-off (hazard ratio [HR] 3.14 [0.83-11.88], p=0.07). In the validation group, six of the 120 enrolled patients were not evaluable due to insufficient tissue. For the other 114 patients, 4-year lung-cancer-specific survival was 46.66% (32.67-59.65) for those with ChoKalpha expression above the ROC-defined cut-off compared with 67.01% (50.92-81.11) for patients with concentrations of ChoKalpha below the cut-off (HR 1.87 [1.01-3.46], p=0.04). A global analysis of all 167 patients further confirmed the association between ChoKalpha overexpression and worse clinical outcome of patients with NSCLC: 4-year lung-cancer-specific survival for ChoKalpha expression above the ROC-defined cut-off was 49.00% (36.61-60.38) compared with 70.52% (59.80-76.75) for those with concentrations of ChoKalpha below the cut-off (HR 1.98 [1.14-3.45], p=0.01). The overall analysis confirmed the cut-off for ChoKalpha expression should be 1.91-times higher than concentrations noted in healthy tissues when ChoKalpha is used as an independent predictive factor of relapse-free and lung-cancer-specific survival in patients with early-stage NSCLC.

INTERPRETATION: ChoKalpha expression is a new prognostic factor that could be used to help identify patients with early-stage NSCLC who might be at high risk of recurrence, and to identify patients with favourable prognosis who could receive less aggressive treatment options or avoid adjuvant systemic treatment. New treatments that inhibit ChoKalpha expression or activity in patients with lung cancer should be studied further.

Full Text Links

Find Full Text Links for this Article

Discussion

You are not logged in. Sign Up or Log In to join the discussion.

Related Papers

Remove bar
Read by QxMD icon Read
17851129
×

Save your favorite articles in one place with a free QxMD account.

×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"