Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.

Example Input: One-fifth of patients with seemingly 'curable' pancreatic ductal adenocarcinoma (PDA) experience an early recurrence and death, receiving no definable benefit from a major operation. Some patients with advanced stage tumors are deemed 'unresectable' by conventional staging criteria (e.g. liver metastasis), yet progress slowly. Effective biomarkers that stratify PDA based on biologic behavior are needed. To help researchers sort through the maze of biomarker data, a compendium of 2500 published candidate biomarkers in PDA was compiled (PLoS Med, 2009. 6(4) p. e1000046).", 'Building on this compendium, we constructed a survival tissue microarray (termed s-TMA) comprised of short-term (cancer-specific death <12 months, n=58) and long-term survivors (>30 months, n=79) who underwent resection for PDA (total, n=137). The s-TMA functions as a biological filter to identify bona fide prognostic markers associated with survival group extremes (at least 18 months separate survival groups). Based on a stringent selection process, 13 putative PDA biomarkers were identified from the public biomarker repository. Candidates were tested against the s-TMA by immunohistochemistry to identify the best markers of tumor biology. In a multivariate model, MUC1 (odds ratio, OR=28.95, 3+ vs. negative expression, p=0.004) and MSLN (OR=12.47, 3+ vs. negative expression, p=0.01) were highly predictive of early cancer-specific death. By comparison, pathologic factors (size, lymph node metastases, resection margin status, and grade) had ORs below three, and none reached statistical significance. ROC curves were used to compare the four pathologic prognostic features (ROC area=0.70) to three univariate molecular predictors (MUC1, MSLN, MUC2) of survival group (ROC area=0.80, p=0.07).
Example Output: 0

Example Input: SUMO-specific protease 1 (SENP1) removes SUMO from proteins and plays important roles in the regulation of multiple cellular signalling pathways. However, little is known about the role of SENP1 in coronary heart disease. In this study, we tested the hypothesis that SENP1 protects against myocardial ischaemia/reperfusion (I/R) injury and investigated the underlying molecular mechanisms involved.', 'First, we found that SENP1 levels increased after I/R in human and mouse myocardium in vivo and in rat cardiomyocytes in vitro. We then performed coronary artery ligation to induce I/R injury in wild-type (WT) and heterozygous SENP1-knockdown (SENP1(+/-)) mice. Compared with WT mice, SENP1(+/-) mice had normal cardiac function at baseline but lower systolic function after I/R. Post-I/R myocardial infarction sizes were larger in SENP1(+/-) mice. Furthermore, we demonstrated that SENP1 regulates the expression of hypoxia-inducible factor 1 (HIF1), a critical protective factor during I/R, in vivo and in vitro. Overexpression of HIF1 reversed the deteriorating effect of SENP1 knockdown on cellular death.
Example Output: 1

Example Input: Multiple myeloma (MM) is an incurable B-cell cancer with accumulated clonal abnormal plasma cells in bone marrow of patients. MCL-1 (myeloid cell leukemia sequence 1) protein is an anti-apoptotic molecule in MM cells and regulated by pro-inflammatory cytokine IL-6 and downstream signaling molecules STAT3, PI3K and MAPK. The purpose of this study is to investigate the effect of STAT3, PI3K and MAPK gene silence on MCL-1 expression in human MM cells and the consequence of cell survival.', 'Lentivirus small hairpin RNA (shRNA) interference techniques were utilized to knock down STAT3, PI3K or MAPK genes. Gene and protein expression was quantified by quantitative real-time PCR and Western Blot. MM cell apoptosis was examined by annexin-V FITC/propidium iodide staining.', 'Efficient silence of STAT3, PI3K, MAPK1 or MAPK2 gene robustly abrogated IL-6 enhanced MCL-1 expression and suppressed MM cell growth. Silencing STAT3 gene inhibited PI3K expression, silencing PI3K markedly abrogated STAT3 and MAPK production. Inhibition of MAPK2 gene by shMAPK2 suppressed STAT3, PI3K and MAPK1 expression in the cells. Silencing of STAT3, PI3K and MAPK2 together completely blocked MCL-1 expression in MM cells.
Example Output:
1