http://orcid.org/0000-0001-8441-1701
Figures
Abstract
Introduction
Patients with advanced non-small cell lung cancer (NSCLC) are most of the time treated with a first-line cytotoxic chemotherapy. Tobacco use is responsible for 90% of lung cancer. The aim of this study was to evaluate the impact of smoking continuation during first-line chemotherapy on tumor response in advanced-stage NSCLC.
Materials and methods
All patients with an advanced-stage NSCLC (IIIb or IV), treated with first-line platinum-based chemotherapy in our Department between June 2013 and July 2017 were included. Smoking status was assessed at inclusion by self-report, then at the tumor assessment consultation after 2 months of treatment, by both self-report and plasmatic cotinine measurement. Chemotherapy response, progression-free survival (PFS), overall survival (OS) and stage 3–4 toxicity were registered.
Results
Ninety-seven patients were included: 8 (8%) declared to be non-smokers, 56 (58%) current smokers and 33 (34%) former smokers at diagnosis. At the first tumor evaluation, 24 (25%) self-reported as active smokers and 73 (75%) as non-smokers; overall response rate (ORR) was respectively 38% and 48% (p = 0.373). Fifty-four patients had a plasmatic cotinine evaluation at the first tumor evaluation. Seventeen patients (32%) had a positive cotinine rate (median 108ng/mL, IQR 31–236). Six patients (35%) had positive cotinine rate whereas declaring to be non-smokers at the first tumor evaluation. ORR was 18% in case of positive cotinine rate, and 57% when negative (p = 0.007). Regardless of the method for smoking status evaluation, PFS, OS and grade 3–4 toxicities were similar between smoker and non-smoker patients at the first tumor evaluation.
Citation: Dacosta-Noble P, Costantini A, Dumenil C, Dumoulin J, Helly de Tauriers P, Giraud V, et al. (2019) Positive plasma cotinine during platinum-based chemotherapy is associated with poor response rate in advanced non-small cell lung cancer patients. PLoS ONE 14(7): e0219080. https://doi.org/10.1371/journal.pone.0219080
Editor: Aamir Ahmad, University of South Alabama Mitchell Cancer Institute, UNITED STATES
Received: December 26, 2018; Accepted: June 14, 2019; Published: July 1, 2019
Copyright: © 2019 Dacosta-Noble et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Lung cancer is the leading cause of cancer-related death worldwide [1]. Despite many progress regarding treatments, the overall five-year survival rate remains low at around 15% [1]. The majority of these tumors are non-small cell lung cancer (NSCLC), often diagnosed at an advanced or metastatic stage with a five-year survival rate of 5% [1]. When patients do not present with an oncogenic addiction or with a high level of Programmed Death Ligand 1 (PD-L1) expression, treatment strategy of metastatic NSCLC relies on platinum-doublet cytotoxic chemotherapy (CT), representing around 2/3 of the cases [2]. Smoking is responsible for 90% of lung cancers. There is a close relation between the level of smoking and the risk of developing lung cancer [1]. Most patients with lung cancer have a history of cigarette consumption and 20% to 40% of them are active smokers at the diagnosis of lung cancer [3–5]. Despite help and encouragements to quit smoking, the pursuit of active cigarette consumption after the diagnosis of lung cancer remains a major issue. Between 30% and 80% of smokers continue to smoke after the diagnosis of lung cancer, all stages of disease considered [4,6,7]. Studies have analysed the impact of continued smoking in lung cancer, especially in localised operable disease. In case of thoracic surgery, continued tobacco intoxication leads to an increase in the risk of general complications, in particular infectious, coronary and respiratory complications such as broncho-pulmonary fistula, and a higher rate of hospital and ICU admissions [8,9]. Furthermore, in advanced NSCLC harbouring an Epidermal Growth Factor Receptor (EGFR) mutation, it has been shown that smoking causes a decreased efficacy of EGFR tyrosine kinase inhibitors (TKIs) [10,11]. However, few studies have analysed the impact of smoking on tumor response, CT toxicity and survival in advanced NSCLC treated with first-line CT.
The aim of this study was to evaluate the impact of continued smoking during platinum-based doublet cytotoxic CT in advanced NSCLC on tumor response, grade 3–4 toxicities, progression free survival (PFS) and overall survival (OS). Evaluation of smoking cessation was based on patients’ oral declaration and on systematic sampling of plasmatic cotinine at first tumor evaluation at two months.
Materials and methods
Endpoints
The primary endpoint was to evaluate in an exploratory manner tumor response depending on the pursuit of smoking (evaluated by patients’ oral declaration and measure of plasmatic cotinine) in patients with advanced or metastatic NSCLC treated with platinum-doublet cytotoxic CT. The secondary endpoints were to evaluate PFS, OS and grade 3–4 toxicities.
Patients
We included consecutive patients with advanced or metastatic NSCLC treated with first line platinum-based doublet cytotoxic CT in the Respiratory and Thoracic Oncology Department of an Academic Hospital (APHP-Hopital Ambroise Paré, Boulogne-Billancourt, France) between June 2013 and July 2017. The study was both retrospective and prospective, with a retrospective inclusion period between June 2013 and March 2016 and a prospective inclusion period from March 2016 to July 2017. The inclusion criteria were the following: patients with histologically proven stage IIIb (not amenable to radiotherapy) or IV NSCLC who had received first line treatment with platinum-based doublet cytotoxic CT. Exclusion criteria were the following: first-line targeted therapy (EGFR or Anaplastic Lymphoma Kinase (ALK) TKIs) or curative thoracic radiotherapy (66 Grays or more). Clinical and pathological features were extracted from patients’ charts: demographic features, smoking status before and during treatment, disease stage (according to the 2009 TNM classification), histological subtype, date of diagnosis, medical history, Performance Status (PS) according to the Eastern Cooperative Oncology Group (ECOG), treatments received, response to treatment according to RECIST criteria v1.1 [12], treatment toxicity (according to CTCAE 4.0 criteria), PFS and OS. Progression date, date of death and date of last news (last hospital visit) were collected. Cut-off date was the 4th of June 2018. Tumor response, according to RECIST v1.1 criteria, was evaluated every two months by clinical examination and brain-thoracic-abdominal and pelvic computed tomography scanning. CT response was evaluated by a radiologist specialised in thoracic imaging and each case was discussed and validated during a multi-disciplinary meeting. Overall response rate was defined as the proportion of patients with complete or partial response.
Smoking status
Smoking status of each patient was evaluated at diagnosis and at first tumor evaluation after two cycles of CT. Smoking status was registered in the patient’s file based on the oral declarations of each patient: smoker or non-smoker, date of smoking cessation, amount smoked in pack-years (PY). At diagnosis, non-smokers were defined as having smoked less than 100 cigarettes in their lifetime. Former smokers were defined as having stopped smoking at least one year before the diagnosis of NSCLC. Smokers were defined as actively smoking in the year before the diagnosis of NSCLC. At first tumor evaluation, we re-evaluated each patient’s smoking status: still non-smoker, still smoker or smoking cessation. Patients were then grouped in two groups: still smoker or non-smoker (still non-smoker + smoking cessation). The use of nicotine substitutes was also noted.
Plasmatic cotinine
We performed plasmatic cotinine measurements at first tumor evaluation after two months of treatment. Plasma was collected prospectively after signature of a consent form. Cotinine was measured using a liquid chromatographic technique coupled with mass spectrometry (Toxicology department, APHP-Hôpital Raymond Poincaré). The limit of quantification of the LC/MS/MS method was 2 ng/mL.
Statistical analysis
The current study was an exploratory study, thus, there was no statistical hypothesis or a minimum number of patients to include. Comparison of clinical characteristics between the patient groups was performed using the Mann-Whitney test or Fisher’s exact test depending on the distribution of the variables. Categorical comparisons were performed using the Chi2 test. Evaluation of PFS and of OS was performed using the log-rank test (Kaplan-Meier method). Statistical analysis was performed using XL STAT 2018 (Addinsoft). A p-value inferior to 0.05 was considered as significant. Anonymized study database can be found as S1 File.
Ethical considerations
This study was approved by the Institutional Review Board (CEPRO) of the Société de Pneumologie de Langue Française (SPLF) on the 16th of April 2016 (number 2016–011). Patients who underwent cotinine measurement had signed a consent form beforehand (approval by the Comité de Protection des Personnes (CPP) Ile-de-France n°VIII). Data were fully anonymized before the authors accessed them.
Results
Patients’ characteristics
Between June 2013 and July 2017, 160 patients were treated in the Department for stage IIIb (not amenable to radiotherapy) or IV NSCLC. Out of these 160 patients, 16 had EGFR mutation, 3 had ALK rearrangement and 44 did not receive systemic treatment. Ninety-seven patients were treated with platinum-based CT and were included in the study. Among them, seventy-two patients (74%) were retrospectively included between June 2013 and March 2016 and 25 patients (26%) were prospectively included between March 2016 and July 2017. Patients’ characteristics are shown in Table 1. The study population included 66% of men with a median age of 68 years (range 63–73). The most frequent histological subtype was adenocarcinoma (65%, n = 53). Twenty-seven patients (28%) were treated with cisplatin-based doublet CT and 70 (72%) with carboplatin-based doublet CT. The drug most frequently associated with platinum CT was pemetrexed (66%, n = 64) and paclitaxel (20%, n = 19). At cancer diagnosis, eight patients (8%) declared themselves as non-smokers, 56 patients (58%) as current smokers and 33 (34%) as former smokers.
Amongst the 56 current smokers, 24 declared to continue smoking at first tumor evaluation (43%) and 32 declared having stopped smoking (57%). Patients who declared keeping on smoking were mostly women (58%) with a median age of 68 years (range 61–72) and a median of 40 PY (range 30–53). Patients who had declared smoking cessation used nicotine substitutes in seven cases (27%).
There was no difference in term of CT dose reduction (due to toxicities) between patients who declared continued smoking and the other patients (13% in the group with continued smoking vs 15% in the non-smoker group, p = 0.553).
Characteristics of the population having undergone cotinine measurement
Forty-three patients refused to sign the consent form and the plasma collection, and 54 underwent plasmatic cotinine measurement at first tumor evaluation after two cycles of CT. There was no statistical difference concerning the patients’ characteristics when comparing this group of patients and the group of patients who declined the plasma collection.
Cotinine measurement was negative in 37 patients (69%) and positive in 17 patients (31%). Median cotinine level in case of positive measurement was 108ng/mL (IQR 31–236). The characteristics of these patients are presented in Table 2. The group of patients with positive plasmatic cotinine was made up of 12 women (71%) with a median age of 69 (range 61–74). Amongst these 17 patients, only 11 declared to be smokers, 5 reported having quit smoking since the diagnosis, one since a year, resulting in a difference between the patients’ declaration concerning smoking status and plasmatic cotinine levels in 6 cases (35%). Amongst the conflicting cases, four (67%) were women with a median age of 69 years (range 65–74) and a median tobacco consumption of 40 PY (range 30–51). Two patients with positive plasmatic cotinine declared using nicotine substitutes (gum and patch for one patient, patch alone for one patient, with respective cotinine levels of 300ng/mL and 241ng/mL). Four patients who declared using nicotine substitutes had negative plasmatic cotinine levels. There was no difference in term of CT dose reduction (due to toxicities) between patients with positive and negative plasmatic cotinine levels (6% in the positive cotinine group vs 16% in the negative cotinine group, p = 0.294).
Response to CT
In the general population, the objective response rate (ORR) was 45%. In patients who declared themselves as smokers at 2 months (still smokers), the ORR was 38% and it was 48% in patients who declared themselves as non-smokers at the time of first tumor evaluation (p = 0.373) (Fig 1A).
Overall response rate according to smoking continuation evaluated at first tumor evaluation on patient’s declaration (A) or cotinine rate (B). p-value calculated by Chi2 test.
In the population of patients who underwent plasmatic cotinine measurement, ORR was 44%. In patients with positive plasmatic cotinine levels at 2 months, ORR was 18% compared to 57% in patients with negative plasmatic cotinine levels at first tumor evaluation (p = 0.007) (Fig 1B).
PFS and OS
There was no statistically significant difference in PFS between patients who were smokers (median of 2.2 months) and the others (median of 4.4 months) (p = 0.172) (Fig 2A). In the population who underwent plasmatic cotinine measurement, medians for PFS were 3.2 months and 3.7 months for patients with positive and negative plasmatic cotinine levels respectively (p = 0.919) (Fig 2B).
Progression-free survival according to smoking continuation evaluated at first tumor evaluation on patient’s declaration (A) or cotinine rate (B). p-value calculated by log-rank test.
In the overall population, median OS for those declaring themselves as smokers was 7.5 months and 10.3 months for those declaring themselves as non-smokers (p = 0.643) (Fig 3A). In the population who underwent plasmatic cotinine measurement, medians for OS were 9.2 months and 10.9 months for patients with positive and negative plasmatic cotinine levels respectively (p = 0.951) (Fig 3B).
Overall survival according to smoking continuation evaluated at first tumor evaluation on patient’s declaration (A) or cotinine rate (B). p-value calculated by log-rank test.
Grade 3–4 toxicity
In the overall population, there was no significant difference regarding the onset of grade 3–4 toxicity according to declared smoking status. Smokers had grade 3–4 toxicity in 46% and non-smokers in 47% of cases (p = 0.95). In the same way, the population who underwent plasmatic cotinine measurement, patients with positive plasmatic cotinine levels had grade 3–4 toxicity in 41% of cases compared to 54% in patients with negative plasmatic cotinine levels (p = 0.379) (Tables 3 and 4).
Discussion
Our study has shown that continued smoking, reflected by positive plasmatic cotinine levels, during first-line CT was associated with decreased ORR (18% in case of positive plasmatic cotinine levels vs. 57% in case of negative plasmatic cotinine levels [p = 0.007]). In the overall population, 38% of patients who declared to continue smoking at 2 months had tumor response compared to 48% who declared themselves as non-smokers (p = 0.373). This inconsistency could be due to confusion bias when patients were classified as smoker and non-smokers according to their oral declarations: some patients would declare themselves as non-smokers when in fact they would continue smoking. Plasmatic cotinine measurement corrects this bias and gives us a correct patient classification.
No difference in PFS and OS was shown, be it using oral declarations or cotinine measurement. However, tumor response rate has been shown to be tightly associated with PFS and OS during CT [13,14]. The small size of our study with a lack of power for survival analyses might explain why we did not find differences concerning OS and PFS. Furthermore, some patients might have quit smoking later-on during treatment which could also have modified PFS and OS analyses in our study. At last, patients could have received different further treatment lines that could also influence OS. Using response as the primary endpoint frees us from this bias whilst remaining clinically relevant: reduction of tumor burden is not only associated with survival [13,14] but also with the improvement of symptoms due to cancer [15] as well of quality of life [16,17].
The results of our study regarding response to CT is consistent with data published by Tsao et al who compared the outcomes of smokers and non-smokers at cancer diagnosis and showing that smoking caused worse response to CT and shorter survival [18]. ORR was better in non-smokers (19%) than in former smokers (8%) or in current smokers (12%) (p = 0.004). Progression rates were lower in non-smokers (49%) than in former smokers (65%) and smokers (66%) (p = 0.002). One-year survival was higher in non-smokers (63%) than in former smokers (42%) or smokers (43%). However, the detail of smoking cessation after cancer diagnosis was not available in this study. Incriminating pursued smoking on decreased CT response rates after the initial diagnosis was thus not possible. Our study is innovating as it evaluated the impact of smoking continuation during CT on tumor response rates. Furthermore, in Tsao’s study, only 78% of patients received platinum-based CT which is now the recommended first-line therapy. Finally, the drug associated with platinum was not detailed, with association modalities that have evolved since 2006 with frequent use of pemetrexed in adenocarcinoma histological type. Duarte et al conducted a retrospective study in Brazil between 2000 and 2005 evaluating the impact of smoking on response to platinum-based CT [19]. Amongst the 285 patients, 63% were smokers, 27% were former smokers and 11% non-smokers. There was no significant different on tumor response between smokers and non-smokers. This study suggests that smoking more than 40 PY was the main predictor of negative response to CT (adjusted OR 10.42, CI 95% 5.13; 21.28). However, smoking habits were solely base on patients’ oral declarations. When evaluating response based on patients’ declarations we did not find a difference between the groups. Furthermore, the details of smoking cessation during treatment were not reported in Duarte’s study. This study also included patients with small-cell lung cancers that have a high sensitivity to CT. Some patients had also received thoracic radiotherapy which was not the case in our study. Finally, the drugs used were a platinum doublet associating cisplatin or carboplatin with etoposide, an association which is no longer in use for the treatment of stage IV NSCLC.
The inconsistency rate between oral declarations and plasmatic cotinine levels was of 35% in our study which is in line with published data [20–22]. Amongst the six patients with inconsistencies, four were women (67%), with a high level of tobacco consumption (median 40 PY, range 30–51). We chose to use cotinine as a marker of continued smoking. Nicotine levels are very specific of cigarette consumption. However, nicotine’s half life is short (two hours) and would only reflect very recent smoking. Cotinine is the principal metabolite of nicotine and is a reliable marker of nicotine exposure. Cotinine can be measured in the blood, plasma or urine. Its half-life is 16 hours and its measurement can reveal cigarette consumption spanning up to three days before the measure. Its specificity with regards to tobacco consumption is close to 100% with a sensitivity of 96 to 97% [23,24].
Molecular mechanisms of platinum-based CT resistance mediated by nicotine are complex. Nicotine plays a direct part in stimulating proliferation. NSCLC cells express the nicotinic acetylcholine receptor at their surface. Nicotine binds to this receptor and leads to the activation of signalling pathways leading to proliferation, survival, angiogenesis and tumor invasion [25]. Activation of the nicotine acetylcholine receptor by nicotine leads to apoptosis escape by cancer cells. It has also been shown that nicotine can induce cancer stem cells proliferation associated with oncogenesis and metastatic spreading [26]. Nicotine can also disrupt platinum salts’ pro-apoptotic action [27–30]. Finally, exposure of cancer cells to nicotine activates the Sonic Hedgehog pathway [26] which is associated with in vitro and in vivo cisplatin resistance [31,32]. Other studies in the literature support the impact of cigarette smoke on toxicity of cytotoxic chemotherapy [33–35]. However these studies concerned drugs with metabolism induced by cytochrome p450 that is not involved with platinum which has a renal metabolism.
The strength of our study resides on the biological verification of smoking status, allowing us to avoid classification bias caused by false oral declarations. Also, to our knowledge, this is the first study evaluating the impact of continued smoking during CT on tumor response in patients with advanced NSCLC. There are also several limitations: this is an observational, monocentric study with a possible bias during the retrospective part of the study. It is also to be noted that the use of nicotine substitutes can interfere with the plasmatic cotinine levels [36]. We did not, however, find differences regarding plasmatic cotinine levels between patients who declared to use nicotine substitutes and those who did not.
Conclusion
Continued smoking, evaluated by a biological method (plasmatic cotinine measure), during first-line CT for patients with locally advanced or metastatic NSCLC has a negative impact on ORR. The results from this study need to be confirmed by a prospective study with a larger population.
References
- 1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016;66: 7–30. pmid:26742998
- 2. Planchard D, Popat S, Kerr K, Novello S, Smit EF, Faivre-Finn C, et al. Metastatic non-small cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol Off J Eur Soc Med Oncol. 2018;29: iv192–iv237. pmid:30285222
- 3. Sanderson Cox L, Sloan JA, Patten CA, Bonner JA, Geyer SM, McGinnis WL, et al. Smoking behavior of 226 patients with diagnosis of stage IIIA/IIIB non-small cell lung cancer. Psychooncology. 2002;11: 472–478. pmid:12476429
- 4. Garces YI, Yang P, Parkinson J, Zhao X, Wampfler JA, Ebbert JO, et al. The relationship between cigarette smoking and quality of life after lung cancer diagnosis. Chest. 2004;126: 1733–1741. pmid:15596667
- 5. Cooley ME, Lundin R, Murray L. Smoking cessation interventions in cancer care: opportunities for oncology nurses and nurse scientists. Annu Rev Nurs Res. 2009;27: 243–272. pmid:20192107
- 6. Sanderson Cox L, Patten CA, Ebbert JO, Drews AA, Croghan GA, Clark MM, et al. Tobacco use outcomes among patients with lung cancer treated for nicotine dependence. J Clin Oncol Off J Am Soc Clin Oncol. 2002;20: 3461–3469. pmid:12177107
- 7. Sardari Nia P, Weyler J, Colpaert C, Vermeulen P, Van Marck E, Van Schil P. Prognostic value of smoking status in operated non-small cell lung cancer. Lung Cancer Amst Neth. 2005;47: 351–359. pmid:15713518
- 8. Schmidt-Hansen M, Page R, Hasler E. The effect of preoperative smoking cessation or preoperative pulmonary rehabilitation on outcomes after lung cancer surgery: a systematic review. Clin Lung Cancer. 2013;14: 96–102. pmid:23017983
- 9. Lugg ST, Tikka T, Agostini PJ, Kerr A, Adams K, Kalkat MS, et al. Smoking and timing of cessation on postoperative pulmonary complications after curative-intent lung cancer surgery. J Cardiothorac Surg. 2017;12: 52. pmid:28629433
- 10. Hamilton M, Wolf JL, Rusk J, Beard SE, Clark GM, Witt K, et al. Effects of smoking on the pharmacokinetics of erlotinib. Clin Cancer Res Off J Am Assoc Cancer Res. 2006;12: 2166–2171. pmid:16609030
- 11. Hughes AN, O’Brien MER, Petty WJ, Chick JB, Rankin E, Woll PJ, et al. Overcoming CYP1A1/1A2 mediated induction of metabolism by escalating erlotinib dose in current smokers. J Clin Oncol Off J Am Soc Clin Oncol. 2009;27: 1220–1226. pmid:19164205
- 12. Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer Oxf Engl 1990. 2009;45: 228–247. pmid:19097774
- 13. Blumenthal GM, Karuri SW, Zhang H, Zhang L, Khozin S, Kazandjian D, et al. Overall response rate, progression-free survival, and overall survival with targeted and standard therapies in advanced non-small-cell lung cancer: US Food and Drug Administration trial-level and patient-level analyses. J Clin Oncol Off J Am Soc Clin Oncol. 2015;33: 1008–1014. pmid:25667291
- 14. Nakashima K, Horita N, Nagai K, Manabe S, Murakami S, Ota E, et al. Progression-Free Survival, Response Rate, and Disease Control Rate as Predictors of Overall Survival in Phase III Randomized Controlled Trials Evaluating the First-Line Chemotherapy for Advanced, Locally Advanced, and Recurrent Non-Small Cell Lung Carcinoma. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2016;11: 1574–1585. pmid:27178983
- 15. de Marinis F, Pereira JR, Fossella F, Perry MC, Reck M, Salzberg M, et al. Lung Cancer Symptom Scale outcomes in relation to standard efficacy measures: an analysis of the phase III study of pemetrexed versus docetaxel in advanced non-small cell lung cancer. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2008;3: 30–36. pmid:18166838
- 16. Thomas M, Spigel DR, Jotte RM, McCleod M, Socinski MA, Page RD, et al. nab-paclitaxel/carboplatin induction in squamous NSCLC: longitudinal quality of life while on chemotherapy. Lung Cancer Auckl NZ. 2017;8: 207–216. pmid:29138610
- 17. Hirsh V, Wan Y, Lin F-J, Margunato-Debay S, Ong TJ, Botteman M, et al. Quality-adjusted Outcomes Stratified by Response in Patients With Advanced Non-Small-cell Lung Cancer Receiving First-line nab-Paclitaxel/Carboplatin or Paclitaxel/Carboplatin. Clin Lung Cancer. 2018;19: 401–409.e4. pmid:29903552
- 18. Tsao AS, Liu D, Lee JJ, Spitz M, Hong WK. Smoking affects treatment outcome in patients with advanced nonsmall cell lung cancer. Cancer. 2006;106: 2428–2436. pmid:16634096
- 19. Duarte RLM, Luiz RR, Paschoal MEM. The cigarette burden (measured by the number of pack-years smoked) negatively impacts the response rate to platinum-based chemotherapy in lung cancer patients. Lung Cancer Amst Neth. 2008;61: 244–254. pmid:18243408
- 20. Lewis SJ, Cherry NM, McL Niven R, Barber PV, Wilde K, Povey AC. Cotinine levels and self-reported smoking status in patients attending a bronchoscopy clinic. Biomark Biochem Indic Expo Response Susceptibility Chem. 2003;8: 218–228. pmid:12944174
- 21. Morales NA, Romano MA, Michael Cummings K, Marshall JR, Hyland AJ, Hutson A, et al. Accuracy of self-reported tobacco use in newly diagnosed cancer patients. Cancer Causes Control CCC. 2013;24: 1223–1230. pmid:23553611
- 22. Stelmach R, Fernandes FLA, Carvalho-Pinto RM, Athanazio RA, Rached SZ, Prado GF, et al. Comparison between objective measures of smoking and self-reported smoking status in patients with asthma or COPD: are our patients telling us the truth? J Bras Pneumol Publicacao Of Soc Bras Pneumol E Tisilogia. 2015;41: 124–132. pmid:25972966
- 23. Benowitz NL. Cotinine as a biomarker of environmental tobacco smoke exposure. Epidemiol Rev. 1996;18: 188–204. pmid:9021312
- 24. SRNT Subcommittee on Biochemical Verification. Biochemical verification of tobacco use and cessation. Nicotine Tob Res Off J Soc Res Nicotine Tob. 2002;4: 149–159. pmid:12028847
- 25. Dasgupta P, Rizwani W, Pillai S, Kinkade R, Kovacs M, Rastogi S, et al. Nicotine induces cell proliferation, invasion and epithelial-mesenchymal transition in a variety of human cancer cell lines. Int J Cancer. 2009;124: 36–45. pmid:18844224
- 26. Al-Wadei MH, Banerjee J, Al-Wadei HAN, Schuller HM. Nicotine induces self-renewal of pancreatic cancer stem cells via neurotransmitter-driven activation of sonic hedgehog signalling. Eur J Cancer Oxf Engl 1990. 2016;52: 188–196. pmid:26689865
- 27. Zhang J, Kamdar O, Le W, Rosen GD, Upadhyay D. Nicotine induces resistance to chemotherapy by modulating mitochondrial signaling in lung cancer. Am J Respir Cell Mol Biol. 2009;40: 135–146. pmid:18676776
- 28. Xin M, Deng X. Nicotine inactivation of the proapoptotic function of Bax through phosphorylation. J Biol Chem. 2005;280: 10781–10789. pmid:15642728
- 29. Nishioka T, Luo L-Y, Shen L, He H, Mariyannis A, Dai W, et al. Nicotine increases the resistance of lung cancer cells to cisplatin through enhancing Bcl-2 stability. Br J Cancer. 2014;110: 1785–1792. pmid:24548862
- 30. Dasgupta P, Kinkade R, Joshi B, Decook C, Haura E, Chellappan S. Nicotine inhibits apoptosis induced by chemotherapeutic drugs by up-regulating XIAP and survivin. Proc Natl Acad Sci U S A. 2006;103: 6332–6337. pmid:16601104
- 31. Giroux Leprieur E, Vieira T, Antoine M, Rozensztajn N, Rabbe N, Ruppert A-M, et al. Sonic Hedgehog Pathway Activation Is Associated With Resistance to Platinum-Based Chemotherapy in Advanced Non-Small-Cell Lung Carcinoma. Clin Lung Cancer. 2016;17: 301–308. pmid:26762562
- 32. Giroux Leprieur E, Tolani B, Li H, Leguay F, Hoang NT, Acevedo LA, et al. Membrane-bound full-length Sonic Hedgehog identifies cancer stem cells in human non-small cell lung cancer. Oncotarget. 2017;8: 103744–103757. pmid:29262597
- 33. de Graan A-JM, Loos WJ, Friberg LE, Baker SD, van der Bol JM, van Doorn L, et al. Influence of smoking on the pharmacokinetics and toxicity profiles of taxane therapy. Clin Cancer Res Off J Am Assoc Cancer Res. 2012;18: 4425–4432. pmid:22645049
- 34. van der Bol JM, Mathijssen RHJ, Loos WJ, Friberg LE, van Schaik RHN, de Jonge MJA, et al. Cigarette smoking and irinotecan treatment: pharmacokinetic interaction and effects on neutropenia. J Clin Oncol Off J Am Soc Clin Oncol. 2007;25: 2719–2726. pmid:17563393
- 35. O’Malley M, Healy P, Daignault S, Ramnath N. Cigarette smoking and gemcitabine-induced neutropenia in advanced solid tumors. Oncology. 2013;85: 216–222. pmid:24080957
- 36. Shields PG. Long-term nicotine replacement therapy: cancer risk in context. Cancer Prev Res Phila Pa. 2011;4: 1719–1723. pmid:22052338