Literature DB >> 28928901

Systematic Correlation Analyses of Circulating Tumor Cells with Clinical Variables and Tumor Markers in Lung Cancer Patients.

Xu Wang1, Kewei Ma1, Zhiguang Yang2, Jiuwei Cui1, Hua He1, Andrew R Hoffman3, Ji-Fan Hu1,3, Wei Li1.   

Abstract

Measurement of circulating tumor cells (CTC) offers promise as a clinical biomarker to monitor disease status, therapeutic response, and progression in cancer patients. However, its clinical value in lung cancer patients has not been fully explored. We systematically evaluate the association of CTCs with clinical variables and tumor markers in a cohort of lung cancer patients. Using the CELLSEARCH System, CTCs were detected in both small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) patients prior to therapy. Univariate analysis revealed that detection of CTC was related to histology, stage, tumor size, invasiveness, and lymphatic metastasis. CTCs were associated with distant metastases in NSCLC, but not in SCLC. Using multivariate analysis, we found that CTCs were independently correlated with disease stage, SCLC, and elevated serum neuron-specific enolase (NSE). These data suggest that CTCs are more likely to be detected in patients with stage IV disease and with SCLC, and that elevated serum NSE predicts the presence of CTCs.

Entities:  

Keywords:  Lung cancer; circulating tumor cells; epidemiologic factors; metastasis.; serum neuron-specific enolase

Year:  2017        PMID: 28928901      PMCID: PMC5604461          DOI: 10.7150/jca.18032

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Primary lung cancer is the leading cause of cancer-related death worldwide1. The vast majority of cancer-related deaths are due to metastasis, or spreading of the disease beyond the primary tumor site. Metastasis occurs when cells are shed from the primary tumor and circulate in the blood. It is these circulating tumor cells (CTCs) that constitute the seeds for subsequent growth of metastatic tumors in distant organs, such as the liver, brain, or bone marrow. Cancer biomarkers may reveal important clues about clinical course or outcome. CTCs are candidate biomarkers that may be able to assess disease progression before patients become symptomatic. The prognostic utility of CTCs in lung cancer has been investigated2-9. Early stage NSCLC patients who had detectable CTC were most likely to develop subsequent metastatic recurrence10. It is also possible that CTCs harbor molecular information that cannot be obtained from other serum tumor markers and that may be useful in guiding decisions involving the administration of targeted therapies. However, there is controversy regarding the incidence and clinical significance of CTCs in NSCLC, particularly in Chinese patients. While some studies have reported that detection of CTCs was significantly associated with shorter survival2-3, 6-8, other studies have failed to identify any association between the presence of CTCs and prognosis9. Recently, a meta-analysis, which included 20 studies comprised of 1576 patients, showed that the presence of CTCs indicated a poor prognosis in patients with NSCLC11. Recently, the US Food and Drug Administration approved the CELLSEARCH® System (Veridex, Raritan, NJ, USA) as a novel technology to detect CTCs12-13. The clinical value of CTCs in lung cancer patients has not been fully explored. The major objective of this study was to assess whether the presence of CTCs in lung cancer patients prior to therapy correlated with other clinical parameters.

Materials and methods

Patients

Patients were treated at the First Hospital of Jilin University (Changchun, Jilin, China). The study was approved by the Ethics Committee of the First Hospital of Jilin Medical University, and conducted according to the World Medical Association Declaration of Helsinki on ethical principles for medical research involving human subjects. Patients signed a written informed consent prior to the initiation of the study. Patients had histologically confirmed lung cancer and did not have a previous cancer history. They had not yet undergone any treatment, including surgery, radiotherapy, chemotherapy or any other anti-cancer therapy. Thoracic CT scan, abdominal CT scan, brain MRI and bone scanning were used for TNM staging (7th edition, 200914), with which SCLC patients were further stratifiedby stages I, II, and III for correlation analysis of SCLC stages with CTC.

CTC analysis

Peripheral blood samples were collected for CTC analysis within 7 days prior to the initiation of treatment. Measurements prior to treatment were considered baseline. Blood samples were collected in 10 ml Cell Save Preservation tubes, stored at room temperature, and processed within 96 hr of collection, according to the manufacturer's instructions (Veridex). CTC analysis was performed using the CELLSEARCH® System (Veridex) as previously described12-13. Ferrofluid nanoparticles coated with a polymer layer carrying biotin analogues and conjugated with antibodies against epithelial cell adhesion molecule (EpCAM) were used to initially capture putative CTCs, which were then magnetically separated from the remaining blood components. The isolated cells were fluorescently stained with specific antibody conjugates, such as CD45 (a leukocyte marker) and cytokeratins 8, 18, and 19 (CKs), and imaged for record. To be considered a CTC, a cell must be CD45 negative, contain a nucleus, and exhibit positive staining for cytoplasmic CKs.

Serum tumor marker analysis

Determination of serum tumor markers was performed on the Luminex 200 System with xMAP® technology (Luminex; Austin, TX, USA), including carcinoembryonic antigen (CEA), cancer antigen (CA) 19-9, CA-125, squamous cell carcinoma antigen (SCC-Ag), cytokeratin-19 fragments antigen 21-1 (CYFRA21-1), and neuron-specific enolase (NSE). The upper limits of normal values are 5 ng/mL for CEA, 35 U/mL for CA19-9, 35 U/mL for CA-125, 1.5 ng/mL for SCC-Ag, 5 ng/mL for CYFRA21-1, and 20 ng/mL for NSE.

Statistical analysis

Univariate Fisher test analysis and multivariate logistic regression were used to evaluate the relationships between clinicopathologic data and CTC count thresholds in lung cancer patients, as well as the association between tumor markers and CTC count thresholds. In the multivariate logistic regression analysis, all categorical variables were set as dummy variables. The first category of each variable was selected as the baseline. All analyses were performed with SPSS v19.0 software (SPSS, Inc.; Chicago, IL, USA). A P-value < 0.05 was considered statistically significant.

Results

CTCs are detected in both NSCLC and SCLC patients

Clinical parameters, CTC count, and tumor markers are shown in Table . Patients were simultaneously tested for other serum markers typically used in the clinical evaluation of lung cancer. Levels of serum CEA, NSE, Cyfra21-1, CA19-9, CA-125, and SCC-Ag were detectable in 173, 171, 173, 126, 118, and 122 patients, respectively. The median follow-up for all patients was 1 yr but we cannot yet evaluate survival outcomes. Among patients enrolled in the study, 169 patients had NSCLC (63.8%) and 96 patients had SCLC (36.2%). CTCs were detected in 32.8% patients, with 40 cases in patients with NSCLC and 47 cases in patients with SCLC. A typical image of a CTC is shown in Figure .

Univariate analysis of CTC count with clinico-pathological variables

No significant differences were observed for the association between any threshold CTC count and gender, age (≤ 60 or > 60 yr), or smoking status. However, an association was found with histology. Of the 87 patients who had detectable CTCs (CTC count of ≥ 1/7.5ml), 40 were histologically categorized as NSCLC (23.7%) and 47 as SCLC (49.0%) (Table ). The predominance of NSCLC patients was observed at all CTC thresholds (CTCs ≥ 1, 2or5 /7.5ml) (P < 0.05). The presence of CTCs was associated with advanced tumor stage (P < 0.05 for CTC thresholds ≥1 and 2/7.5 ml blood); the percentage of lung cancer patients who had detectable CTC increased from 1/17 (5.9%) at stage I to 46/126 (36.5%) at stage IV (Table ). Tumor size and invasiveness, and local lymphatic metastasis were all associated with CTC count at thresholds ≥ 1 or 5/7.5 ml (P< 0.05), respectively (Table ). The number of patients with detectable CTCs increased from 14/40 (35.0%) at T1 to 27/58 (46.6%) at T4 (CTC threshold ≥ 1/7.5 ml blood). Lymphatic metastasis was found in 4/40 (10.0 %) patients at N0 and in 19/76 (25.0%) patients at N3 (CTCs ≥ 5/7.5 ml blood). However, no relationship between CTC count and distant metastasis was observed. In patients with NSCLC, distant metastasis was found in 11/75 (14.7%) M0 patients compared to 29/94 (30.9%) M1 patients who had CTCs (CTCs ≥ 1/7.5 ml blood, P< 0.05, and CTCs ≥ 2and 5/7.5 ml blood, P< 0.05). However, in patients with SCLC, no statistical difference was observed at any CTC threshold (CTCs ≥ 1, 2 or 5/7.5ml).

Multivariate analysis demonstrates that CTCs correlate with advanced stage and histology of SCLC

To identify a patient profile that predicts the presence of detectable CTC, multivariate analysis was performed using age, gender, smoking history, histology, and clinical stage. Lung cancer patients with either stage IV disease or SCLC histology had a higher incidence of detectable CTCs (P < 0.05, Table ).

Lung cancer CTCs correlate with serum NSE levels

No significant correlation was found between lung cancer CTC count and serum tumor markers, CA-125, CA19-9, Cyfra21-1, and SCC-Ag (Table ), but there was an association of CTCs with serum NSE (Table ). After adjustment for TNM stage (I, II, III and IV) and histology (SCLC and NSCLC), serum NSE levels were still associated with the CTC count. Results were similar when CTC thresholds ≥ 2and 5/7.5 ml were used (Table ). A similar non-significant trend was also observed with CEA.

Discussion

The measurement of CTCs offers potential utility as a prognostic, predictive, and/or pharmacodynamic biomarker12, 15-19. While multiple studies have examined the prevalence and prognostic utility of CTCs in lung cancer2-9, 11, only a few have addressed whether CTCs are related to other clinical parameters. This information may be useful in order to identify subgroups of lung cancer patients in whom CTC status might be therapeutically useful. Our data show that CTCs were independently correlated with three clinical characteristics: advanced stage IV disease, SCLC histology, and elevated serum NSE. Univariate analysis revealed that CTC count significantly increased in parallel with TNM stage (from I to IV), tumor size and invasiveness, lymphatic metastasis, and histology. CTCs have been shown to display sensitivity and specificity in distinguishing clinical stage as well as histology (SCLC versus NSCLC) in other studies10. The CTC has been recently recommended by the American Society of Clinical Oncology (ASCO) as a potentially acceptable tumor marker for breast cancer patients20. In our study, a rigorous analysis was performed to determine the relevance of CTC count to standard tumor markers used in the diagnosis and clinical management of lung cancer patients. Although CTCs were found to correlate with levels of CYFRA21-1 in a previous, smaller study21, serum NSE was the only tumor marker found to be associated with CTCs in our study. Other investigators have reported that serum NSE levels were associated with prognosis22.The biological basis for the correlation between lung cancer CTCs and NSE will be the focus of future studies. Others have previously shown that CTCs are correlated with the presence of distant metastasis23 in lung cancer24. However, no relationship between any CTC threshold and distant metastasis was seen in our study. However, when cases with distant metastasis were divided on the basis of histologic subtype (NSCLC or SCLC), the presence of CTC was found to be associated with distant metastasis only in NSCLC. Using tumor progression models, it has been reported that tumor cells can spread to distant sites even at pathologically early stages in tumor development25-26. In support of this finding, tumor cells have been detected in the peripheral blood of patients with early stage malignant epithelial tumors27. In a prospective study of lung cancer patients10, CTCs were detected in 17/88 (19.3%) clinical stage I patients where distant metastases (all intrapulmonary metastases) were confirmed in two of 17 cases. Similarly, we found that CTCs were detected in 1/17 (5.9%) and 3/19 (15.8%) stage I and stage II patients, respectively. Long-term follow-up of these patients may determine whether the CTC count can eventually be correlated with the development of micrometastasis which ultimately leads to postoperative recurrence. Finally, our multivariate analysis revealed that the detection of CTCs was correlated with histologic type (NSCLC and SCLC) and TNM stage (I, II, III and IV), but no significant correlation was observed with age, gender, and smoking status. In summary, our data indicate that CTCs are most likely to be found in patients who present with any one of three clinical characteristics: SCLC histology, stage IV disease, or elevated serum levels of NSE. A longer follow-up of the present cohort of patients using CTC testing may lead to a better understanding of disease progression.
Table 1

Clinical characteristics, CTC count, and tumor markers of lung cancer patients.

CharacteristicsNumber (%)
GenderMale174 (65.7%)
Female91 (34.3%)
Age< 60102 (38.5%)
≥ 60163 (61.5%)
HistologyNSCLC169 (63.8%)
SCLC96 (36.2%)
Smoking statusNever105 (39.6%)
Former47 (17.7%)
Current113 (42.6%)
Clinical StageI17 (6.4%)
II19 (7.2%)
III97 (36.6%)
IV126 (47.5%)
CTC count≥ 187 (32.8%)
≥ 258 (21.9%)
≥ 541 (15.5%)
CEAElevated77 (43.8%)
Normal96 (56.3%)
NSEElevated53 (31.0%)
Normal118 (69.0%)
Cyfra21-1Elevated62 (35.8%)
Normal111 (64.2%)
CA199Elevated16 (12.7%)
Normal110 (87.3%)
CA125Elevated45 (38.1%)
Normal73 (61.9%)
SCC-AgElevated7 (5.7%)
Normal115 (94.3%)
Table 2

Univariate analysis between CTC count (per 7.5 mL of peripheral blood) and clinical-pathological data.

Characteristic< 1(%)≥ 1(%)P value< 2(%)≥ 2(%)P value< 5(%)≥ 5(%)P Value
GenderMale118561373714727
(67.8 )(32.2 )(78.7)(21.3)(84.5)(15.5)
Female60310.78470210.75677141.000
(65.9)(34.1)(76.9)(23.1)(84.6)(15.4)
Age<60107561234013330
(65.6)(34.4)(75.5)(24.5)(81.6)(18.4)
≥6071310.59184180.22391110.116
(69.6)(30.4)(82.4)(17.6)(89.2)(10.8)
HistologyNSCLC129401492015613
(76.3)(23.7)(88.2)(11.8)(92.3)(7.7)
SCLC49470.00058380.00068280.000
(51.0)(49.0)(60.4)(39.6)(70.8)(29.2)
SmokingNever723385208916
status(68.6)(31.4)(81.0)(19.0)(84.8)(15.2)
Former29183314389
(61.7)(38.3)(70.2)(29.8)(80.9)(19.1)
Current77360.68889240.33797160.713
(68.1)(31.9)(78.8)(21.2)(85.8)(14.2)
clinicalI161161161
(94.1)(5.9)(94.1)(5.9)(94.1)(5.9)
TNMII163190190
stage(84.2)(15.8)(100.0)(0.0)(100.0)(0.0)
III643374238017
(66.0)(34.0)(76.3)(30.3)(82.5)(17.5)
IV80460.02394320.016105210.153
(63.5)(36.5)(74.6)(25.4)(83.3)(16.7)
TT12614328373
(65.0)(35.0)(80.0)(20.0)(92.5)(7.5)
T267167211749
(80.7)(19.3)(86.7)(13.3)(89.2)(10.8)
T3392247145110
(63.9)(36.1)(77.0)(23.0)(83.6)(16.4)
T431270.00639190.05044140.091
(53.4)(46.6)(67.2)(32.8)(75.9)(24.1)
NN0328355364
(80.0)(20.0)(87.5)(12.5)(90.0)(10.0)
N1196232241
(76.0)(24.0)(92.0)(8.0)(96.0)(4.0)
N27544902910217
(63.0)(37.0)(75.6)(24.4)(85.7)(14.3)
N348280.15054220.05857190.043
(63.2)(36.8)(71.1)(28.9)(75.0)(25.0)
MM098411132611920
(70.5)(29.5)(81.3)(18.7)(85.6)(14.4)
M180460.24194320.234105210.615
(63.5)(36.5)(74.6)(25.4)(83.3)(16.7)
NSCLCM06411732732
(85.3)(14.7)(97.3)(2.7)(97.3)(2.7)
M165290.01876180.00183110.040
(69.1)(30.9)(80.9)(19.1)(88.3)(11.7)
SCLCM0343040244618
(53.1)(46.9)(62.5)(37.5)(71.9)(28.1)
M115170.66618140.65922100.814
(46.9)(53.1)(56.3)(43.8)(68.8)(31.3)
Table 3

Multivariate analysis of the CTC positive model with adjusted odds ratios and 95% CI

Risk factorsExp (B)95% CIP-value
Gender
Female1.00Reference-
Male1.2500.654-2.3870.499
Age
≥ 601.00Reference-
<600.7840.434-1.4180.421
Smoking history0.465
Never1.00Reference-
Ever1.6270.714-3.7050.246
Current1.0630.532-2.1240.862
Clinical stage0.058
I1.00Reference-
II3.2700.295-36.2270.334
III6.0010.742-48.5660.093
IV9.3771.182-74.3860.034
Histology
NSCLC1.00Reference-
SCLC3.0021.656-5.4440.000
Table 4

Associations between CTC count and tumor markers.

Characteristic< 1(%)≥ 1(%)P value< 2(%)≥ 2(%)P value< 5(%)≥ 5(%)Pvalue
CEAElevated463153245918
(59.7)(40.3)(68.8)(31.2)(76.6)(23.4)
Normal73260.05380190.07886130.110
(73.7)(26.3)(80.8)(19.2)(86.9)(13.1)
NSEElevated262728253617
(49.1)(50.9)(52.8)(47.2)(67.9)(32.1)
Normal91270.000103150.000106120.001
(77.1)(22.9)(87.3)(12.7)(89.8)(10.2)
Cyfra21-1Elevated422047155210
(67.7)(32.3)(75.8)(24.2)(83.9)(16.1)
Normal75361.00084271.00091200.836
(67.6)(32.4)(75.7)(24.3)(82.0)(18.0)
CA199Elevated124124133
(75.0)(25.0)(75.0)(25.0)(81.2)(18.8)
Normal81291.00087230.74793170.719
(73.6)(26.4)(79.1)(20.9)(84.5)(15.5)
CA125Elevated33123312369
(73.3)(26.7)(73.3)(26.7)(80.0)(20.0)
Normal55180.83060130.2586490.298
(75.3)(24.1)(82.2)(17.8)(87.7)(12.3)
SCC-AgElevated526161
(71.4)(28.6)(85.7)(14.3)(85.7)(14.3)
Normal86291.00091241.00098171.000
(74.8)(25.2)(79.1)(20.9)(85.2)(14.8)
Table 5

Association between CTC count and serum NSE levels.

CTC countNSE levelExp (B)95% CIP-value*
CTC ≥ 1Normal1.00Reference-
Elevated2.9531.302-6.6980.010
CTC ≥ 2Normal1.00Reference-
Elevated4.4461.785-11.0700.001
CTC ≥ 5Normal1.00Reference-
Elevated2.9141.072-7.9220.036

*P value was adjusted by TNM stage (I, II, III and IV) and histology (SCLC and NSCLC).

  27 in total

Review 1.  Circulating and disseminated tumor cells.

Authors:  Stephan Braun; Bjørn Naume
Journal:  J Clin Oncol       Date:  2005-03-10       Impact factor: 44.544

2.  Circulating tumor cells versus imaging--predicting overall survival in metastatic breast cancer.

Authors:  G Thomas Budd; Massimo Cristofanilli; Mathew J Ellis; Allison Stopeck; Ernest Borden; M Craig Miller; Jeri Matera; Madeline Repollet; Gerald V Doyle; Leon W M M Terstappen; Daniel F Hayes
Journal:  Clin Cancer Res       Date:  2006-11-01       Impact factor: 12.531

3.  TTF-1 mRNA-positive circulating tumor cells in the peripheral blood predict poor prognosis in surgically resected non-small cell lung cancer patients.

Authors:  Sun Och Yoon; Young Tae Kim; Kyeong Cheon Jung; Yoon Kyung Jeon; Baek-Hui Kim; Chul-Woo Kim
Journal:  Lung Cancer       Date:  2010-05-14       Impact factor: 5.705

4.  Detection of circulating tumor cells as a prognostic factor in patients undergoing radical surgery for non-small-cell lung carcinoma: comparison of the efficacy of the CellSearch Assay™ and the isolation by size of epithelial tumor cell method.

Authors:  Véronique Hofman; Marius I Ilie; Elodie Long; Eric Selva; Christelle Bonnetaud; Thierry Molina; Nicolas Vénissac; Jérôme Mouroux; Philippe Vielh; Paul Hofman
Journal:  Int J Cancer       Date:  2011-03-11       Impact factor: 7.396

5.  Lung cancer circulating tumor cells isolated by the EpCAM-independent enrichment strategy correlate with Cytokeratin 19-derived CYFRA21-1 and pathological staging.

Authors:  Qian Chen; Feng Ge; Wei Cui; Fei Wang; Zhuo Yang; Ye Guo; Longyun Li; Ross Macrae Bremner; Peter Ping Lin
Journal:  Clin Chim Acta       Date:  2013-02-08       Impact factor: 3.786

6.  Circulating tumor cells at each follow-up time point during therapy of metastatic breast cancer patients predict progression-free and overall survival.

Authors:  Daniel F Hayes; Massimo Cristofanilli; G Thomas Budd; Matthew J Ellis; Alison Stopeck; M Craig Miller; Jeri Matera; W Jeffrey Allard; Gerald V Doyle; Leon W W M Terstappen
Journal:  Clin Cancer Res       Date:  2006-07-15       Impact factor: 12.531

7.  Prognosis of non-small cell lung cancer patients by detecting circulating cancer cells in the peripheral blood with multiple marker genes.

Authors:  Yuh-Pyng Sher; Jin-Yuan Shih; Pan-Chyr Yang; Steve R Roffler; Yi-Wen Chu; Cheng-Wen Wu; Chia-Li Yu; Konan Peck
Journal:  Clin Cancer Res       Date:  2005-01-01       Impact factor: 12.531

8.  Preoperative evidence of circulating tumor cells by means of reverse transcriptase-polymerase chain reaction for carcinoembryonic antigen messenger RNA is an independent predictor of survival in non-small cell lung cancer: a prospective study.

Authors:  Jun-ichi Yamashita; Akinobu Matsuo; Yuji Kurusu; Tetsushi Saishoji; Naoko Hayashi; Michio Ogawa
Journal:  J Thorac Cardiovasc Surg       Date:  2002-08       Impact factor: 5.209

9.  Systemic spread is an early step in breast cancer.

Authors:  Yves Hüsemann; Jochen B Geigl; Falk Schubert; Piero Musiani; Manfred Meyer; Elke Burghart; Guido Forni; Roland Eils; Tanja Fehm; Gert Riethmüller; Christoph A Klein
Journal:  Cancer Cell       Date:  2008-01       Impact factor: 31.743

10.  Tumor self-seeding by circulating cancer cells.

Authors:  Mi-Young Kim; Thordur Oskarsson; Swarnali Acharyya; Don X Nguyen; Xiang H-F Zhang; Larry Norton; Joan Massagué
Journal:  Cell       Date:  2009-12-24       Impact factor: 41.582

View more
  6 in total

1.  Serum tumor marker levels at the development of intracranial metastasis in patients with lung or breast cancer.

Authors:  Naoya Ishibashi; Toshiya Maebayashi; Takuya Aizawa; Masakuni Sakaguchi; Masahiro Okada
Journal:  J Thorac Dis       Date:  2019-05       Impact factor: 2.895

2.  Detection of Circulating Tumor Cell Molecular Subtype in Pulmonary Vein Predicting Prognosis of Stage I-III Non-small Cell Lung Cancer Patients.

Authors:  Jingsi Dong; Daxing Zhu; Xiaojun Tang; Xiaoming Qiu; Dan Lu; Bingjie Li; Dan Lin; Qinghua Zhou
Journal:  Front Oncol       Date:  2019-10-29       Impact factor: 6.244

3.  Correlation analysis between serum neuron-specific enolase and the detection of gene mutations in lung adenocarcinoma.

Authors:  Fang-Zhou Xu; Yan-Bei Zhang
Journal:  J Thorac Dis       Date:  2021-02       Impact factor: 2.895

4.  Effects of Docetaxel Combined with Icotinib on Serum Tumor Markers and Quality of Life of Patients with Advanced Non-Small Cell Lung Cancer.

Authors:  Huawei Lin; Jing Chang; Jun Li
Journal:  Iran J Public Health       Date:  2020-10       Impact factor: 1.429

5.  Early assessment of circulating tumor DNA after curative-intent resection predicts tumor recurrence in early-stage and locally advanced non-small-cell lung cancer.

Authors:  Silvia Waldeck; Jan Mitschke; Sebastian Wiesemann; Michael Rassner; Geoffroy Andrieux; Max Deuter; Jurik Mutter; Anne-Marie Lüchtenborg; Daniel Kottmann; Laurin Titze; Christoph Zeisel; Martina Jolic; Ulrike Philipp; Silke Lassmann; Peter Bronsert; Christine Greil; Justyna Rawluk; Heiko Becker; Lisa Isbell; Alexandra Müller; Soroush Doostkam; Bernward Passlick; Melanie Börries; Justus Duyster; Julius Wehrle; Florian Scherer; Nikolas von Bubnoff
Journal:  Mol Oncol       Date:  2021-10-31       Impact factor: 6.603

6.  The prognostic roles of circulating ALDH1+ tumor cell in the patients with non-small cell lung cancer.

Authors:  Shuang Tian; Ya-Nan Xing; Pu Xia
Journal:  Biosci Rep       Date:  2018-10-31       Impact factor: 3.840

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.